\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"25",leadTitle:null,fullTitle:"Thermodynamics",title:"Thermodynamics",subtitle:null,reviewType:"peer-reviewed",abstract:"Progress of thermodynamics has been stimulated by the findings of a variety of fields of science and technology. 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The contents of this book should be of help to many scientists and engineers.",isbn:null,printIsbn:"978-953-307-544-0",pdfIsbn:"978-953-51-4530-1",doi:"10.5772/558",price:139,priceEur:155,priceUsd:179,slug:"thermodynamics",numberOfPages:452,isOpenForSubmission:!1,isInWos:1,isInBkci:!0,hash:"10b9127b8341680e2a20cd5609c4951c",bookSignature:"Mizutani Tadashi",publishedDate:"January 14th 2011",coverURL:"https://cdn.intechopen.com/books/images_new/25.jpg",numberOfDownloads:74300,numberOfWosCitations:304,numberOfCrossrefCitations:120,numberOfCrossrefCitationsByBook:4,numberOfDimensionsCitations:345,numberOfDimensionsCitationsByBook:5,hasAltmetrics:1,numberOfTotalCitations:769,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 13th 2010",dateEndSecondStepPublish:"May 11th 2010",dateEndThirdStepPublish:"September 15th 2010",dateEndFourthStepPublish:"October 15th 2010",dateEndFifthStepPublish:"December 14th 2010",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,8",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"14519",title:"Prof.",name:"Mizutani",middleName:null,surname:"Tadashi",slug:"mizutani-tadashi",fullName:"Mizutani Tadashi",profilePictureURL:"https://mts.intechopen.com/storage/users/14519/images/1584_n.jpg",biography:"Tadashi Mizutani is a professor of Biofunctional Chemistry, Faculty of Science and Engineering at Doshisha University, Japan. 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Cumulative evidence indicates that mTOR acts as a ‘master switch’ of cellular energy-intensive anabolic processes and energy-producing catabolic activities. It coordinates the rate of cell growth, proliferation and survival in response to extracellular mitogen, energy, nutrient and stress signals [1, 2]. mTOR functions within two distinct multiprotein complexes, mTORC1 and mTORC2, responsible for the different physiological functions. Thus, mTORC1 is considered mostly involved in the regulation of the translation initiation machinery influencing cell growth, proliferation, and survival, while mTORC2 participates in actin cytoskeleton rearrangements and cell survival. mTORC1 and mTORC2 were initially identified in yeast on the basis of their differential sensitivity to the inhibitory effects of rapamycin, mTORC1 being originally considered as rapamycin-sensitive and mTORC2 as rapamycin-insensitive [3-5].
The history of TOR began in the early 1970s when a bacterial strain,
At present, it becomes clear that mTORC1 and mTORC2 activities are mediated through diverse signaling pathways depending on the type of extracellular signal. Thus, signaling from growth factors is mediated predominantly through PI3K-Akt-TSC1/2 pathway and upregulates mTORC1 to stimulate translation initiation, while energy or nutrient depletion and stresses suppress mTORC1 via LKB1–AMPK cascade to trigger off the process of autophagy. In contrast, mTORC2 is insensitive to nutrients or energy conditions. mTORC2 phosphorylates Akt and some other protein kinases regulating actin cytoskeleton and cell survival in response to growth factors and hormones. The physiological functions of mTOR continue to expand. It should be stressed, that the signaling throughout the complicated mTOR network, including branched pathways and feedback loops, is regulated predominantly by phosphorylation and includes myriads of phosphorylation events. Moreover, the complexity of mTOR regulation is amplified by the crosstalk with other signaling pathways, such as MAP kinase- or TNFα-dependent cascades, which activity is also determined by vast number of phosphorylations. The complication of mTOR signaling additionally increases due to the hierarchical character of multiple site-specific phosphorylations of the main mTOR targets. Up to date there are no full clarity, concerning which kinase is responsible for each site phosphorylation as well as functional role and precise mechanisms of each phosphorylation event. The better understanding of underlying molecular mechanisms is now especially essential since inhibitors of mTOR signaling are widely used as drugs in the therapy of cancer and neurodegenerative diseases.
Although mTOR has limited sequence similarities in eukaryotes, it demonstrates a high level of conservation in its key cellular functions. mTOR, also known as FRAP (FKBP12-rapamycin-associated protein), RAFT1 (rapamycin and FKBP12 target), RAPT 1 (rapamycin target 1), or SEP (sirolimus effector protein), is a large 289 kDa atypical serine/threonine (S/T) kinase [15-18] and is considered a member of the phosphatidylinositol 3-kinase (PI3K)-kinase-related kinase (PIKK) superfamily since its C-terminus shares strong homology to the catalytic domain of PI3K [19, 20]. mTOR and yeast TOR proteins share > 65% identity in carboxy-terminal catalytic domains and about 40% identity in overall sequence [21]. At the amino-acid level, human, mouse and rat TOR proteins share a 95% identity [22, 23]. The knockout of mTOR in mice is embryonic lethal, indicating its physiological importance [24, 25].
Structurally, mTOR contains 2549 amino acids and the region of first 1200 N-terminal amino acids contains up to 20 tandem repeated HEAT (a protein-protein interaction structure of two tandem anti-parallel α-helices found in Huntingtin, Elongation factor 3 (EF3), PR65/A subunit of protein phosphatase 2A (PP2A), and TOR) motifs [26]. Tandem HEAT repeats are present in many proteins and may form an extended superhelical structure responsible for protein-protein interactions. HEAT repeats region is followed by a FAT (FRAP, ATM, and TRRAP (PIKK family members)) domain and FRB (FKPB12-rapamycin binding domain), which serves as a docking site for the rapamycin -FKBP12 complex formation. Downstream lies a catalytic kinase domain and a FATC (FAT Carboxyterminal) domain, located at the C-terminus of the protein (Figure 1A). The FAT and FATC domains are always found in combination, so it has been hypothesized that the interactions between FAT and FATC might contribute to the catalytic kinase activity of mTOR via unknown mechanisms [26, 27].
A. The domain structure of mTOR. mTOR contains tandem HEAT repeats, central FAT domain, FRB domain, a catalytic kinase domain and the FATC domain. Rapamycin associates with its intracellular receptor, FKBP12, and the resulting complex interacts with the FRB domain of mTOR. Binding of rapamycin–FKBP12 to the FRB domain disrupts the association of mTOR with the mTORC1 specific component Raptor and thus uncouples mTORC1 from its substrates, thereby blocking mTORC1 signaling. B. Composition of mTORC1 and mTORC2. mTORC1 consists of mTOR, Raptor, PRAS40, mLST8 and Deptor. mLST8 binds to the mTOR kinase domain in both complexes, where it seems to be crucial for their assembly. Deptor acts as an inhibitor of both complexes. Other protein partners differ between the two complexes. mTORC2 contains Rictor, mSIN1, and Protor1. C. Schematic of the TSC1 and TSC2 proteins. The functional domains (including GAP) on TSC1 and TSC2 are represented schematically. T2BD/T1BD — TSC2 and TSC1 binding domains respectively.
Up to date quite a few phosphorylation sites in mTOR have been reported, namely T2446, S2448, S2481 and S1261 and this list will be probably appended. S2481 is considered to be a site of autophosphorylation [28]. S2481 is the only site the phosphorylation of which is well established for regulating mTOR intrinsic activity [29, 30]; the significance of other phosphorylation sites for mTOR activity are not entirely clear. Recently, S1261 has been reported as a novel mTOR phosphorylation site in mammalian cells and the first evidences of this phosphorylation in regulating mTORC1 autokinase activity has been provided [31]. Although phosphorylation at T2446/S2448 was shown to be PI3K/Akt-dependent, mTORC1 downstream kinase S6K has been also reported to phosphorylate these two sites [32]. The significance of this potential feedback loop is unknown, as it is not yet clear whether and how these phosphorylations influence mTOR activity
Binding of rapamycin–FKBP12 to the FRB domain of mTOR disrupts the association of mTOR with mTORC1-specific component Raptor and thus divide mTORC1 from its targets, blocking mTORC1 signaling. However, whether rapamycin directly inhibits mTOR’s intrinsic kinase activity is still not entirely clear [3, 33, 34].
The mammalian mTORC1 and mTORC2 complexes perform non-overlapping functions within the cell. Thus, the best-known function of TORC1 signaling is the promotion of translation. Other mTORC1 functions include autophagy inhibition, promotion of the ribosome biogenesis and of the tRNA production. The main known mTORC2 activity is the phosphorylation and activation of AKT and of the related kinases — serum/glucocorticoid regulated kinase (SGK) and protein kinase C (PKC) [35]. It is also involved in cytoskeletal organization. Although both mTOR complexes exist predominantly in the cytoplasm, some data indicate that they could function in different compartments. Thus, upon nutrients and energy availability mTORC1 is recruited to lysosomes where it could be fully activated [36] and where it functions to suppress autophagy. Unlike mTORC1, mTORC2 according to the most recent data localizes predominantly in ER compartment where it could directly associate with ribosomes [37, 38]. Additionally, some data evidence that mTOR may actually be a cytoplasmic-nuclear shuttling protein. The nuclear shuttling could facilitate the phosphorylation of mTORC1 substrates under the mitogenic stimulation [39]. The unique compositions of mTORC1 and mTORC2 determine the selectivity of their binding partners. Up to date we know more about mTORC1 rather then mTORC2 probably due to the lack of available and wide-spreaded inhibitors of mTORC2 activity.
TORC1 composition. Within the mammalian cells, TORC1 functions as a homodimer. Each monomer consists of mTOR, regulatory associated protein of mTOR (Raptor), proline-rich AKT substrate 40 kDa (PRAS40), DEP domain TOR-binding protein (Deptor) and mammalian l
Raptor is a 150 kDa presumably non-enzymatic subunit of mTORC1 that is essential for the kinase mTORC1 activity
PRAS40, another subunit of mTORC1, has been defined as a direct negative regulator of mTORC1 function [48]. Initially, PRAS40 was identified as a novel substrate of Akt being directly phosphorylated at T246 near its C-terminus [49]. This phosphorylation releases inhibition of mTORC1 by PRAS40. Subsequent studies showed that PRAS40 associates with mTORC1 via Raptor and inhibits mTORC1 activity [48]. A putative TOR signaling motif, FVMDE, has been identified in PRAS40 and shown to be required for interaction with Raptor. Upon binding to Raptor, PRAS40 is phosphorylated on S183 by mTORC1 both
mLST8 has been identified after Raptor as a stable component of both mTOR complexes [52]. It consists almost entirely of seven “sticky” WD40 repeats, and has been initially shown to bind to the kinase domain of mTOR, leading to the hypothesis that mLST8 positively regulates mTOR kinase activity. It was proposed that mLST8 is essential for a nutrient- and rapamycin-sensitive interaction between Raptor and mTOR [52]. However, there is no substantial evidence to support this idea. It has been speculated, that mLST8 may participate in the amino acids mediated activation of TORC1 being insignificant for other mechanisms of TORC1 activation [52]. Alternatively, recent studies demonstrated functional importance of mLST8 for the Rictor-mTOR interaction, evidencing that mLST8 is involved in mTORC2 rather than in mTORC1 activity.
Deptor binds to mTOR at the FAT domain thus originally proposed to be a part of TORC1. Recently it has been identified as mTOR inhibitor that acts on both TORC1 and TORC2. The upstream regulators of Deptor still remain unknown [41].
In 2004, mTORC2, containing mTOR, mLST8 and Rictor was identified [3, 4]. Since mTORC2 complex was discovered later than mTORC1, its functions and regulatory mechanisms are less understood [3]. TORC2 and TORC1 contain common subunits, as is mTOR itself, mLST8 and Deptor, but instead of Raptor, mTORC2 includes two different subunits, Rictor (rapamycin-insensitive companion of mTOR) and mSin1 (mammalian stress-activated protein kinase (SAPK)-interacting protein 1) [3, 4, 53]. In addition, Protor (protein observed with Rictor) was also considered a component of mTORC2 (Figure 1B) [54, 55]. mTORC2 was originally thought to be rapamycin-insensitive [3], however, further studies demonstrated that prolonged rapamycin treatment inhibits the assembly of mTORC2 as well as its activity towards Akt phosphorylation in certain cell lines [56].
Rictor is the first identified TORC2 specific component [3, 4]. It represents a large protein with a predicted molecular weight of about 200 kDa. Although Rictor contains no apparent catalytic domain motifs [4], knockdown of Rictor results in the loss of actin polymerization and cell spreading, the main known mTORC2 functions [4]. It was shown that the Rictor-mTOR complex does not affect the mTORC1 effectors S6K1 and 4E-BP1, but influence the activities of several proteins known as mTORC2 downstream targets, including phosphorylation of Akt, PKC and the focal adhesion proteins.
mSin1 was recently identified as a novel component of mTORC2, which is important for both the complex assembly and function [57-59].
Protor-1 and Protor-2 (also known as Proline rich protein 5 (PRR5) [54, 55] and PRR5-like (PRR5L) [63] are two newly identified mTORC2 interactors which have been identified as Rictor-binding or SIN1 binding proteins [54]. Up to date their functions remain unclear. It is currently accepted that they are dispensable for mTORC2 assembly as well as for its catalytic activity [54], although Protor stability is dependent on the production of other TORC2 components. It is possible that Rictor and Sin1 act as scaffold proteins for various complexes involving different kinases.
mLST8 and Deptor, as was mentioned above, are the components of both mTORC1 and mTORC2 complexes.
Although this pathway is still considered to be the main way exerting multi-faceted control over mTORC1 activity which sense insulin and growth factors signals to regulate cell growth, at present it becomes clear that at least some of its components also function to mediate responses on other stimulus, such as energy, stress or nutrients which are provided by discrepant signaling pathways, described below.
The TSC1/TSC2 complex (tuberous sclerosis complex 1/2, TSC1/2) has been established as the major upstream inhibitory regulator of mTORC1 [64, 65]. This complex mediates signals from a large number of distinct signaling pathways to modulate mTORC1 activity predominantly via different phosphorylations of TSC2. Functioning as a molecular switch, TSC1/2 suppresses mTOR’s activity to restrict cell growth during the stress, and releases its inhibition under the favorable conditions. The
Rheb is a member of the Ras superfamily that appears to be conserved in all eukaryotes and, despite the term ‘brain’ in its name, is in fact ubiquitously expressed in mammals. Whether a GEF protein (guanine-nucleotide exchange factor responsible for reverse process, i.e. change GDP-bound to GTP-bound state) for Rheb exists remains unknown. Several evidences demonstrate that Rheb positively regulates mTORC1. In particular, Rheb overexpression stimulates S6K1 and 4EBP1 phosphorylation, which are indicators of mTORC1 activity. This effect can be reversed by mTOR inactivation or by rapamycin treatment, suggesting that Rheb primarily functions through TORC1 [59]. Although genetic and biochemical studies strongly suggest that GTP-bound Rheb potently activates mTORC1, the molecular mechanism is still unclear. Overexpressed Rheb was shown to bind to mTOR [73, 74]. Associations between endogenous Rheb and mTORC1 components have not been reported. In general, Ras-related small G-proteins bind to their downstream effectors mostly in the GTP-bound state. Surprisingly, Rheb has been found to bind stronger to mTOR in its GDP-bound or nucleotide-free states [74]. At the same time it has been shown that GTP-bound Rheb rather than the GDP-bound stimulates mTOR kinase activity
The responsiveness of mTORC1 signaling to growth factors and insulin is provided through activation of PI3K (phosphatidylinositol-3-kinase) and Akt kinase, but the precise mechanism is still not clear. Through PI3K signaling, Akt also termed PKB (serine/threonine protein kinase B) is activated by most growth factors to phosphorylate several downstream substrates [77].
PI3K is a heterodimeric protein containing an 85-kDa regulatory and a 110-kDa catalytic subunits (
Akt, known as one of the major survival kinases, belongs to the AGC (PKA/PKG/PKC) protein kinase family and is involved in regulating a vast number of cellular processes, including transcription, proliferation, migration, growth, apoptosis and various metabolic processes [3, 82]. Being translocated to the plasma membrane, Akt undergoes partial activation through the phosphorylation of T308 residue within the activation loop by PDK1 and following full activation through the additional phosphorylation at the hydrophobic motif site S473 by PDK2 [83]. After activation Akt quits the cell membrane to phosphorylate intracellular substrates. Particularly, Akt can translocate to the nucleus [80] where it influences the activity of transcriptional factors, including CREB
Akt was the first kinase demonstrated to phosphorylate directly the TSC1/TSC2 complex in response to growth factors. Human TSC2 contains five predicted Akt sites (S939, S981, S1130, S1132 and T1462 on full-length human TSC2), all of which have been suggested to be subjects of phosphorylation by Akt (Figure 2). Importantly, the two sites were shown definitively to be targeted by Akt in mammalian cells, S939 and T1462 [86]. There is also evidence that either S1130 or S1132 is phosphorylated by Akt
The majority of studies postulated that activated AKT promotes TORC1 signaling by phosphorylating multiple sites on TSC2, thereby relieving inhibition of Rheb and activating TORC1 [86, 87, 90, 91]. The data obtained using phosphorylation-site mutants of TSC2 demonstrate that Akt mediated phosphorylation of these sites inhibits the function of the TSC1–TSC2 complex in cells, however the molecular mechanism of this inhibition has been the subject of much debate (reviewed in [92]). One proposed mechanism involves disruption of the TSC1–TSC2 complex. However, this does not occur rapidly and, although it might contribute to the long-term effects of Akt on mTORC1 signaling, it cannot explain the immediate effects of Akt activation on mTORC1, which are blocked by Akt phosphorylation-site mutants of TSC2. Another proposed mechanism is based on the possibility that phosphorylation of TSC2 alters its subcellular localization, such that it can no longer act as a GAP for Rheb. One study supporting this mechanism found that growth factor stimulation led to increase of the TSC2 levels within the cytosolic fraction [93]. This effect was PI3K-dependent, stimulated by activated Akt and required both S939 and S981 on TSC2. In that study, both TSC1 and Rheb were found exclusively in the membrane fraction, and unlike TSC2, did not show an increase in the cytosolic fraction following growth-factor stimulation. From these findings it was concluded that Akt-mediated phosphorylation of TSC2 on S939 or S981 inhibits the TSC1/TSC2 complex by triggering release of TSC2 from TSC1 at an intracellular membrane also occupied by Rheb. This model points on the significant and rapid dissociation of TSC2 from TSC1 upon phosphorylation – something that has not been detected in the majority of studies to date. Recent studies have suggested that AKT mediated phosphorylation of TSC2 at S939 and S981 creates a binding site for a cytosolic anchor protein, 14-3-3 (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, theta polypeptide also known as YWHAQ, 1C5; HS1), a mechanism of regulation shared by several other Akt substrates [77]. Examining interactions between endogenous 14-3-3 proteins and TSC2, another study found that S939 and T1462 were both required for 14-3-3 binding to TSC2 downstream of PI3K signaling. It seems likely that 14-3-3 binding to TSC2 (provided by some combination of phosphorylated S939, S981 and T1462) contributes to Akt-mediated inhibition of TSC2. Binding of 14-3-3 to TSC2 can disrupt binding TSC2 to TSC1 and RHEB, which are associated with endomembranes [93]. However, in 14-3-3 pull-down experiments, both TSC1 and TSC2 were found to bind, and 14-3-3 did not affect the association between TSC1 and TSC2 [94, 95]. It also remains unclear whether TSC2 binding to14-3-3 hindered its GAP activity towards Rheb. Importantly, TSC2 is not an essential target of AKT during normal
Growth factors and insulin regulation of mTORC signaling. mTORC1 activity is modulated by a number of positive (shown in red) and negative (shown in blue) regulators. Growth factors activate mTORC1 indirectly by suppressing the function of its negative regulator TSC1/TSC2 complex. TSC2 contains a GAP domain that converts Rheb to its inactive, GDP-bound form. PI3K-AKT dependent phosphorylation inhibits the TSC1/2 complex, thereby relieving the TSC1/2-mediated repression of Rheb and allowing activation of TORC1. AKT also activates mTORC1 through negative phosphorylation of mTORC1 suppressor, PRAS40. FKBP38 appears to associate through the FRB domain of mTOR and trigger its release from mTORC1, thereby stimulating mTORC1 activation.
As was mentioned above, the PRAS40 binds Raptor and thereby inactivates mTORC1 [48, 50, 57, 63]. In response to growth factors, Akt phosphorylates PRAS40 at T246. This phosphorylation leads to the dissociation of PRAS40 from mTORC1 resulting in a reduced ability of PRAS40 to inhibit TORC1 [48, 49, 57]. This was proposed to be mediated through 14-3-3 binding of the phosphorylated PRAS40 [57]. Thus, bypassing TSC2, AKT phosphorylates PRAS40 and prevents its ability to suppress mTORC1 downstream effectors. The inhibition of PRAS40 by AKT is conserved; in Drosophila, the PRAS40 ortholog Lobe regulates TORC1 signaling [97]. PRAS40 is in turn a substrate of mTORC1, and mTORC1 mediated phosphorylation of PRAS40 S183, [50, 63] has been proposed to negatively regulate mTORC1 signaling by competing with 4EBP1 and S6K for interaction with Raptor. PRAS40 is a direct inhibitor of mTORC1 and antagonizes the activation of the mTORC1 by Rheb•GTP. However, constitutive mTORC1 signaling in TSC2 null mouse embryonic fibroblasts, in which AKT signaling is largely inhibited owing to a negative feedback mechanism (see below), indicates that hyperactive Rheb can overcome PRAS40 mediated inhibition of mTORC1 [48]. Thus, the AKT pathway might stimulate mTORC1 through two interconnected mechanisms: by activating Rheb and/or by inhibiting PRAS40.
It has long been known that mTORC1 signaling is strongly inhibited in cells under the conditions of nutrient deficiency and that the re-addition of amino acids to starved cells can strongly stimulate mTORC1 activity [22, 98]. However, the mechanisms by which amino acids convey signals to mTORC1 remain largely unknown. Earlier studies demonstrated that silencing expression of TSC1/2 confers resistance to amino acid deprivation, indicating that TSC1/2 is involved in the regulation of mTOR function by amino acids [90]. It has been suggested that branched-chain amino acids, (such as leucine), activate mTORC1 by inhibiting TSC1/TSC2 or stimulating Rheb [62]. Consequently, inhibition of Rheb binding to mTOR is critical for the inhibitory effect of amino acid withdrawal on mTOR signaling [99]. However, other studies do not support this idea. Thus, in TSC-null cells (that lack either TSC1 or TSC2), the mTORC1 activity remains sensitive to amino acid deprivation, suggesting that other than TSC2, additional mechanisms may also be involved in the regulation of mTOR by amino acids [100]. Although Rheb is required for the amino acid stimulation of mTORC1, starving of amino acids has no effect on GTP loading [99-102]. Therefore, while there is a requirement for GTP-bound Rheb to induct of mTORC1 by amino acids, amino acids probably do not affect Rheb activity – indicating that regulation of Rheb does not stimulate mTORC1 in response to amino acids.
Recently, Ste20-related kinase MAP4K3 (mitogen activated protein kinase kinase kinase kinase 3) and the class III PI3K hVps34 (human vacuolar protein sorting 34) were proposed to be activated by amino acid and be involved in the transduction of signals from amino acids to mTORC1 [103-107]. While the mechanism by which MAP4K3 regulates mTORC1 remains unknown, a mechanism for hVPS34 was recently proposed (Figure 3). According to this proposed mechanism, amino acids induce an extracellular calcium influx that activates calmodulin, which in turn binds and activates hVps34 [108]. hVps34 then generates PI-3-phosphate (PI-3-P) instead of the PI-3,4,5-tris-phosphate generated by type I PI3Ks [109], that somehow activates mTORC1. The mechanism also involves the formation of a calmodulin-hVps34-mTORC1 supercomplex. However, the regulation of mTORC1 by hVps34 is thought to be specific to mammalian cells because in flies Vps34 does not regulate TORC1 [106]. This is unexpected because regulation of TORC1 by amino acids is known as very conserved. Furthermore, in certain mammalian cells, amino acids appear to inhibit rather than activate mVps34 [110]. However, additional studies are needed to clarify the roles of these proteins in TORC1 activation.
Most recent studies identified Rag GTPases as activators of mTORC1 by sensing amino acid signals [111, 112]. Rag-mediated activation of TORC1 still requires Rheb, indicating that, during amino acid signaling, Rag complexes act upstream of Rheb. Rag family members (Rag A-D) belong to the Ras superfamily of GTPases. They are unique in their ability to dimerize through long C-terminal extensions. In the presence of amino acids, the dimeric Rag complex, which consists of a Rag A/B monomer and a Rag C/D monomer, binds Raptor and transport mTORC1 to lysosomes, the same intracellular compartment that contains Rheb [36, 111, 112]. Rag complexes are recruited to the lysosomal membrane by the trimeric Ragulator complex [36], which contains the proteins MP1 (MEK partner 1), p14 and p18. The GTP-loading of Rag A/B appears to be regulated by amino acids, and binding to TORC1 is observed most robustly under nutrient-rich conditions – when Rag A/B is in the GTP-bound state and Rag C/D is in the GDP-bound state [111, 112]. This model answers the question why mTORC1 activity cannot be stimulated by growth factors in the absence of amino acids. It also explains why Rag GTPases are not able to activate mTORC1 activity in vitro [111]. mTORC1 can be fully activated only under the conditions of amino acids availability, Rab-dependent mTORC1 translocation to a Rheb-containing compartment, and Rheb activated by growth factors. However, there are many key aspects that remain to be discovered, such as how branched amino acids are detected by Rag GTPases and the identification of the Rag guanine exchange factor (GEF).
Several data evidence that phosphatidic acid (PA) is essential for mTORC1 activation. The main mechanism for generating PA is the hydrolysis of phosphatidylcholine (PC) by phospholipase D (PLD). In mammals PLD exists as two isoforms (PLD1 and PLD2) possessing different mechanisms of regulation and subcellular distribution [113]. PLD1 is predominantly localized under steady-state conditions at the Golgi complex, endosomes, lysosomes and secretory granules, and is regulated by two major signaling categories: growth factors/mitogens like EGF, PDGF, insulin and serum that implicate tyrosine kinases, and the small GTPase proteins from Arf, Ral and Rho families. PLD2 is largely associated with lipid rafts on the membrane surface. [113]. Both PLD1 and PLD2 have a strong requirement for PIP2 as a co-factor [113]. It has been shown that PLD1 activation stimulates PLD2 by increasing levels of PIP2 (product of PA metabolic modifications) [114]. This makes more clear the involvement of both PLD1 and PLD2 in the mTORC1 activation. The generation of PA by PLD can be suppressed by primary alcohols (such as 1-butanol) through the transphosphatidylation reaction whereby inert phosphatidyl-alcohol is generated instead of PA. This reaction has been widely used to examine PLD significance, and several studies have demonstrated that the activation of mTOR was sensitive to primary alcohols. Thus, 1-butanol was able to block almost completely the serum-stimulated phosphorylation of mTOR downstream targets, S6K1 and 4E-BP1 [115]. From these findings, it can be asserted that PLD production of PA plays an essential role in the mTOR signaling pathway). In skeletal muscle, PA stimulated S6 kinase phosphorylation, and 1-butanol suppressed S6 kinase phosphorylation [116]. Nutrient-dependent multimerization of mTOR was also suppressed by 1-butanol [117]. Therefore, primary alcohols-dependent suppression of PLD activity has been shown to suppress mTORC1 signaling in several cell models [114].
Several laboratories have shown that mTORC1 is activated in response to exogenously supplied PA. For example, exogenously provided PA stimulated the activation of S6 kinase and phosphorylation of 4E-BP1 in cancer HEK293 cells. The effect of PA was sensitive to rapamycin [115, 118] and was dependent on the presence of amino acids [115]. Coexpression of TSC1/2 was shown to inhibit PA-dependent stimulation of S6K. This indicates that PA-induced S6K activity is mediated through TSC1/2-mTOR signaling. PA was also shown to activate mTOR in macrophages in an Akt-dependent manner [119].
In addition, several studies have explored the influence of PLD1 and PLD2 expression on mTORC1 activation. Particularly it was reported that PLD2 overexpression increases S6K phosphorylation in MCF7 cells [120]. Overexpression of PLD1 also stimulated S6K phosphorylation in rat fibroblasts [121]. siRNA-mediated knockdown of PLD1 blocked S6K phosphorylation in B16 melanoma cells, and suppression of either PLD1 or mTOR led to melanoma cells differentiation [122].
At the same time, up to date the precise mechanism of PA-dependent stimulation of mTOR signaling remains unclear. One possibility is that PA binds to mTOR at the FRB domain, the region where the rapamycin-FKBP12 molecule binds mTOR as well. This binding was specific for PA as other phospholipids were unable to bind the FRB with such specificity. It was hypothesized that the competition between the rapamycin-FKBP12 complex and PA for the FRB site may be one of the regulating factors in mTOR activation [115]. According to the other hypothesis the pH locally around mTOR is reduced by PA-generated PLD, which eventually promotes its kinase activity, or allows for interaction with yet unknown promoter substrates [114]. It was shown that PLD1 is an effector of the small GTPase Rheb (see above) within the mTORC1 signaling pathway [123, 124] (Figure 3). It was also reported that PLD2 forms a functional complex with Raptor and mTOR via a TOS (TOR signaling) motif in PLD2, and this interaction was essential for mitogen stimulation of mTORC1 [125]. More recently, dominant negative mutants of both PLD1 and PLD2 were able to suppress the activation of mTORC1 [126]. Therefore, besides PA ability to activate mTORC1, there are several data indicating requirement of PLD itself for the activation of mTORC1. Very recent study provided additional evidence that nutrient stimulation of mTORC1 is dependent on PLD activity which in turn is activated by small GTPases RalA and Arf6 [127]. According to this study, amino acids dependent activation of PLD is mediated trough generated by Vps34 PI-3-phosphate [127], that could interact with PX domains of PLD1 and PLD2 which are known to be critical for PLD activity [128]. This activation also requires PLD interaction with both RalA and Arf6. Interestingly, these small GTPases have been earlier shown to be implicated in both responding to nutrients and the stimulation of PLD activity. RalA is constitutively associated with PLD1, but does not activate PLD1 by itself. RalA contributes to the activation of PLD1 by recruiting ARF6, which does activate PLD1 activity, into RalA/ARF6/PLD1 complex. While it is still not clear how the presence of nutrients activates RalA and ARF6, the data provided in this study indicate that PLD is a key target of RalA and ARF6 for the stimulation of mTORC1. In concordance with these findings data from our lab evidence that expression of constitutively active Arf6 stimulates PLD activity which leads to the mTORC1 dependent phosphorylation of downstream targets 4E-BP1, S6K1 kinase and its effector ribosomal protein S6 (rpS6). We also show that mTORC1 signaling stimulation contributes to the Arf6 promitogenic activity [129].
Nutrients regulation of mTORC signaling. mTORC1 could be activated by amino acids through few proposed molecular mechanisms. In the response to amino acid sufficiency Rag complex is recruited to the lysosomal membrane by the trimeric Ragulator complex which consists of MP1, p14 and p18 thereby allowing Rheb to activate mTORC1. Amino acids also induce an extracellular calcium influx that activates calmodulin, which in turn binds and activates hVps34 that generates PI-3-P, what leads somehow to the mTORC1 activation. One model puts PLD downstream of hVps34 suggesting hVps34(PI-3-P)-PLD-mTORC1 pathway mediating response to amino acids. According to this model nutrient activation of PLD requires interaction with small G proteins RalA and Arf6. In addition, several studies evidence that PLD probably via generation of PA contributes to the mTORC1 activation in response to the nutrient stimulation. Particularly, PA could compete with rapamycin-FKBP12 complex for the mTOR FRB domain binding or reduce the pH around mTOR. PLD2 has also been reported to form a functional complex with mTOR and Raptor through a TOS (TOR signaling) motif. It has also been proposed that branched-chain amino acids could activate mTORC1 by inhibiting TSC1/TSC2 or stimulating Rheb.
AMPK (the AMP-activated protein kinase, also known as PRKAB1) is activated under the low level of intracellular ATP and found in all eukaryotes. It was initially identified as a serine/threonine kinase that negatively regulates several key enzymes of the lipid anabolism [130]. At present, AMPK is considered to be the major energy-sensing kinase that activates a whole variety of catabolic processes in multicellular organisms such as glucose uptake and metabolism, while simultaneously inhibiting several anabolic pathways, such as lipid, protein, and carbohydrate biosynthesis (reviewed in [130]). AMPK is upregulated under energy stress conditions in response to nutrient deprivation or hypoxia when intracellular ATP level decreases and AMP increases [131]. In response, AMPK turns on ATP generating pathways while inhibiting ATP consuming functions of the cell [131]. AMPK functions as heterotrimeric kinase complex, which consists of a catalytic (α) subunit and two regulatory (β and γ) subunits. Upon energy stress, AMP directly binds to tandem repeats of crystathionine-β-synthase (CBS) domains in the AMPK γ subunit [132]. Since the ratio of AMP to ATP represents the most accurate way to precisely measure the intracellular energy level, both AMP and ATP are able to oppositely regulate the activity of AMPK. While AMP binding to the γ–subunit allosterically enhances AMPK kinase activity and prevents the dephosphorylation of T172 [133], ATP is known to counteract the activating properties of AMP [130]. Although ADP does not allosterically activate AMPK, it also binds to AMPK and enhances phosphorylation at T172 [134, 135]. The phosphorylation of the activation loop T172 is absolutely necessary for AMPK activation. At present, several AMPK-phosphorylating kinases have been identified. In addition to the ubiquitously expressed and constitutively active kinase LKB1, Ca2+-activated Ca2+/calmodulin-dependent kinase kinase β (CaMKKβ) [136] and transforming growth factor β-activated kinase-1 (TAK1) are both known as AMPK activators. Genetic and biochemical studies in worms, flies, and mice have identified the serine/threonine liver kinase B1 (LKB1) as major kinase phosphorylating the AMPK activation loop at T172 residue, under conditions of energy stress [130]. Within the TOR signaling pathway, LKB1 dependent activation of AMPK inhibit mTORC1 activity by two ways (Figure 4). Firstly, AMPK directly phosphorylates the TSC2 on S1387 and T1227 [2, 64, 70, 87, 137, 138]. AMPK phosphorylation of TSC2 has also been reported to act as a primer for the phosphorylation and enhancement of TSC2 function by glycogen synthase 3β (GSK3β). GSK3β dependent phosphorylation of TSC2 on S1341 and S1337 stimulates its GAP activity towards Rheb, leading to the inhibition of mTORC1 [138]. It is possible that GSK3β cooperates with AMPK to fully activate the GAP activity of TSC2. The second, TSC2 independent mechanism by which AMPK can signal to mTORC1, [45] is a direct phosphorylation of Raptor at two highly conserved residues — S722 and S792. These phosphorylation events induce Raptor direct binding to 14-3-3 protein, which leads to a suppression of mTORC1 kinase downstream activity [45]. Therefore, mTORC1 itself serves as an AMPK substrate for inhibiting phosphorylation.
mTOR signaling pathway is strictly regulated by hypoxia [139, 140], since the sufficiency of oxygen is also essential for cellular metabolism. Hypoxia inhibits mTORC1 signaling via multiple signal pathways, two of them being mediated through activation of the TSC1/TSC2 complex (Figure 4). First, activation of AMPK by hypoxia can enhance TSC complex function. Particularly, it was shown, that brief hypoxia exposure prevents insulin-mediated stimulation of mTORC1 and phosphorylation of its targets p70S6K and 4E-BP1 [139]. Under these conditions mTOR suppression is mediated through a HIF1α (hypoxia-inducible factor 1α)-independent pathway involving AMPK-dependent activation of TSC1/TSC2 [2, 87, 141]. Second way includes the upregulation of TSC1/TSC2 through transcriptional regulation of stress-induced protein REDD1 (Regulated in Development and DNA damage responses, also known as DDIT4 or RTP801) [142, 143]. This response is mediated in part through a mechanism that involves HIF1α, a transcription factor that is stabilized under hypoxic conditions and drives the expression of several genes, including REDD1. Induction of REDD1 can activate the TSC1/2 complex by competing with TSC2 for 14-3-3 proteins binding [142, 144]. Thus, increased REDD1 levels that occur following exposure to hypoxia prevent the inhibitory binding of 14-3-3 to TSC2 [144], which eventually leads to the inhibition of mTORC1 signaling. Therefore inhibitory effect of REDD1 on mTOR signaling seemed to be dependent on the presence of the TSC1/2 complex, but independent on the LKB1-AMPK signaling [142, 145, 146]. However, most recent studies proposed that hypoxia and the LKB1-AMPK signaling are highly interrelated at least in some type of cells [140]. In response to prolonged hypoxia, REDD1 expression was enhanced by AMPK activation, leading to the inhibition of mTOR pathway. Indeed, it was demonstrated that prolonged hypoxia induced ATP depletion and eventually activate AMPK [140]. Taken together, under hypoxic stress, the inhibition of mTOR activity by REDD1 activation may be mediated either through AMPK-independent or -dependent mechanisms.
Hypoxia may also downregulate mTORC1 through proteins that hinder the the Rheb–mTOR interaction. The PMl (promyelocytic leukaemia tumour suppressor) has been found to bind mTOR during hypoxia and inactivate it via sequestration in nuclear bodies [147]. Likewise, the hypoxia-inducible proapoptotic protein BNIP3 (BCl2/adenovirus E1B 19 kDa protein-interacting protein 3) was found to regulate mTOR by direct association with Rheb [148]. (Reviewed in [149]).
mTORC1 regulation in response to energy deprivation and hypoxia. Low cellular energy levels (conveyed by AMP) and hypoxia activate AMPK, which represses mTORC1 both through direct negative phosphorylation of TSC2 and through Raptor inhibition. LKB1, CaMKK and TAK1 are known as AMPK activators. AMPK- and GSK3β-mediated phosphorylation of the TSC1/2 complex positively regulates the GAP activity of TSC2 towards Rheb, abrogating its stimulative activity towards mTORC1. Under hypoxic stress, the inhibition of mTOR activity could be mediated by REDD1 either through AMPK-independent or -dependent mechanisms. Hypoxia-inducible proapoptotic protein BNIP3 is reported to regulate mTOR by direct binding to Rheb, while PML can binds mTOR and inactivate it through sequestration in nuclear bodies.
The protein synthesis stimulation and the inhibition of autophagy are two mostly known biological outputs controlled by this pathway under the favorable conditions, such as nutrient and oxygen availability. By sensing the presence of growth factors and the sufficiency of nutrients, activated mTORC1 mediates the signals to various components of the translation initiation machinery through direct or indirect phosphorylation events [22]. Several data also evidence that mTOR regulates the synthesis of many classes of lipids (such as phosphatidylcholine, phosphatidylglycerol, and sphingolipids, unsaturated and saturated fatty acids) that are required for membrane biosynthesis and energy storage (For the detailed review see [150]. Since the best characterized effectors of mTOR signaling are proteins controlling the translational initiation machinery it is important to understand how mTORC1 signal transduction pathways contribute to protein synthesis regulation (reviewed in [151]).
The earliest identified and best-studied mTORC1 targets are S6K kinases (p70 ribosomal protein S6 kinase 1 and 2) and 4EBP1 (eIF4E binding protein 1); both proteins involved in the translation initiation process [152] (Figure 5A). Protein synthesis is one of the most energy consuming processes within the cell and translation rates are strictly regulated mostly through modification of the eukaryotic initiation factors (eIFs). In eukaryotes, several mRNAs are translated in a cap-dependent manner. The cap structure, m7GpppN (where N is any nucleotide), is present at the 5’ terminus of the majority cellular eukaryotic mRNAs (except those in organelles) [153]. The cap structure is bound by the eIF4F (eukaryotic initiation factor 4F) complex, which contains three initiation factors — the mRNA 5’ cap-binding protein eIF4E, an ATP-dependent RNA helicase eIF4A and a large scaffolding protein eIF4G, which provides docking sites for the other proteins. Briefly, to assemble the eIF4F complex, eIF4E binds the 5′ cap and recruits eIF4G and eIF4A. eIF4A along with eIF4B acts to unwind the mRNA 5’ secondary structure to facilitate ribosome binding [153]. It is especially essential, since stable secondary structures are often found in the 5′ UTR of specific mRNA species, many of which encode proteins that are involved in promoting cell growth and proliferation, and significantly suppress their translation efficiency [154]. As the translation preinitiation complex is recruited near the 5′ end of mRNA, this requires the structured UTR to be ‘linearized’ — not only for the initial binding of the 40S ribosome but also for subsequent searching for the downstream initiation codon. Although eIF4A alone exhibits low levels of RNA helicase activity the last one is substantially stimulated by its regulatory cofactor, eIF4B. Thus, eIF4B enhances the affinity of eIF4A binding to ATP, which, in turn, increases the processivity of the eIF4A helicase function [155]. eIF4G recruits the small ribosomal subunit to the mRNA (and the poly(A)-binding protein, PABP) through the ribosome associated large multisubunit factor eIF3. As a result the assembly of the 48S translation preinitiation complex takes place, allowing for the ribosome scanning and translation initiation [22, 26]. The translation initiation factors and cofactors that are regulated by mTORC1 signaling include eIF4G, eIF3, eIF4B, eIF4E and 4EBP1, of which 4EBP1 is considered to be the most well-known mTORC1 direct effector protein.
eIF4G serving as a modular scaffold for the translation preinitiation complex formation, is phosphorylated in response to growth factor stimuli at multiple sites, some of which are dependent on mTORC1. These sites are clustered in a hinge region of eIF4G that joins two structural domains, and it has thus been predicted that the modification might induce conformational changes in the protein that affect its activity [22]. Nevertheless, the precise molecular mechanism by which eIF4G phosphorylation regulates its function remains to be determined. Regulation of the mRNA cap binding protein eIF4E is mediated mainly in two ways, firstly, through phosphorylation at S209 in its C-terminus by MAP kinase signaling integration kinases 1 and 2 (Mnk1/2) [156] and, secondly, through the sequestration by small, heat stable phosphoproteins termed 4E-binding proteins, 4E-BPs [153] belonging to the 4E-BPs translation repressors family. One of these proteins, 4E-BP1 is a direct mTORC1 phosphorylation target. In quiescent cells, hypophosphorylated 4EBP1 binds tightly to eIF4E. As 4EBP1 and eIF4G share the same eIF4E-binding motif 4EBP1 competes with eIF4G for an overlapping binding site on eIF4E, and prevents eIF4G from interacting with eIF4E. On mTORC1 activation, hyperphosphorylated 4EBP1 dissociates from eIF4E, allowing for the recruitment of eIF4G and eIF4A to the 5’ end of an mRNA. Thus, the effects of 4E-BP1 on protein translation are not limited to switching ‘off ’ or ‘on’ protein synthesis; they can also alter the range of nascent proteins by mediating a switch between cap-dependent and cap-independent translation. Indeed, during specific stress conditions, such as nutrient depletion, hypoxia or metabolic stress, the cell can reduce the activity of mTORC1, resulting in the cessation of cap-dependent translation and the concomitant promotion of cap-independent translation of essential pro-survival factors. Rapamycin inhibits mTORC1-dependent 4E-BP1 phosphorylation, stimulating the interaction between eIF4E and 4E-BP1, what leads to cap-dependent translation inhibition [157].
Control of the 4E-BPs by mTOR
Upon the stimulation (by growth factors, mitogens and hormones), human 4E-BP1 is phosporylated at 7 sites, 4 of which are involved in mTOR signaling [157, 158]. These are T37, T46 and T70, and S65. The 4E-BP1 phosphorylation is proceeded in a hierarchical manner (first T37 and T46, then T70 and last S65) [157]. S65 and T70 are located near the eIF4E-binding site. Often phosphorylation of these residues is stimulated by insulin in a rapamycin-sensitive manner. Some data evidence that phosphorylation of S65 is required for release of eIF4E from 4E-BP1, however the role of phosphorylation of this site is unclear [159]. Molecular dynamics findings [160] and earlier biophysical data suggest that phosphorylation of S65 and T70 is insufficient to bring about release from eIF4E. Phosphorylation of both S65 and T70 depends upon the prior phosphorylation of the N-terminal threonines, and modification of T46 is considered to be essential for phosphorylation of T37 [157, 161]. The phosphorylation of T70 and S65 in human 4E-BP1 depends upon a further site, S101 [162]. The phosphorylation of the N-terminal threonin residues in 4E-BP1 depends upon a certain sequence in the N-terminus, which includes the Arg-Ala-Ile-Pro (‘RAIP’ motif) [91, 163]. This phosphorylation is not significantly influenced by TOS motif inactivation and according to some data is rather insensitive to rapamycin [158]. This suggests that it could be mediated independently of mTORC1. However, several data evidence that phosphorylation is mediated by mTORC1: (i) it is inhibited by starvation of cells for amino acids; (ii) it is activated by Rheb; (iii) it is suppressed by TSC1/2; (iv) it is sensitive to inhibitors of the kinase activity of mTOR and (v) it is decreased in cells in which mTOR levels have been knocked down [158]. Therefore, further study of this process needs to clarify the molecular mechanisms of mTOR downstream signaling.
Control of the S6Ks by mTOR
Another important target of mTORC1 is the S6 kinases family, including S6K1 and S6K2. Ribosomal protein S6 (rpS6) is highly phosphorylated protein containing at least five phosporylating sites in its C-terminus. There are two main classes of protein kinases which are responsible for rpS6 phosphorylation in vitro, namely the p70 S6 kinases (S6Ks) and the p90 ribosomal protein S6 kinases, also known as RSKs [164, 165], (reviewed in [151]). The observed sensitivity of rpS6 to rapamycin lead to the speculation that S6K are responsible for rpS6 phosphorylation as their activation is mediated by mTOR. Unlike S6Ks, the RSKs are not influenced by rapamycin since they are known to be activated through the classical MAP kinase (ERK) pathway (see below). There are two similar S6 kinase proteins, S6K1 and S6K2, in mammals [166], which show 70% of amino acid homology. Each p70S6K gene encodes two distinct proteins due to alternative splicing of the mRNAs. Several data confirm that activation of both the S6K1 and S6K2 are regulated by mTORC1 [118, 167, 168]. S6K1, which was discovered earlier than S6K2, is ubiquitously expressed and appears to be more critical for the control of cell growth. S6K1 can be activated by a wide variety of extracellular signals and is known as the major rpS6 kinase in mammalian cells and key player in the control of cell growth (cell size) and proliferation [169, 170].
Earlier it was thought that activated S6K1 regulates translation of a class of mRNA transcripts that bear a 5’-terminal oligopolypyrimidine (5’-TOP). Particularly, it was shown that S6K1 phosphorylates eIF4B on S422, which is located in the RNA binding region that is necessary for promoting the helicase activity of eIF4A [171]. Few data indicate that eIF4B phosphorylation by S6K1 is both sufficient and necessary for its recruitment to the translation preinitiation complex [172]. However, there are also some data that disprove this model. In S6K1/2–/– cells, 5’-TOP mRNA translation is intact and still rapamycin-sensitive [173]. These results are in concordance with earlier data showing that mitogenic-stimulated or amino acid dependent 5’-TOP mRNAs translation is dependent on PI3K mediated signaling, and does not require S6K1 activity and ribosomal protein S6 phosphorylation [174, 175]. Instead, a role for the S6 kinases in controlling the cell size has been suggested as deletion of S6K leads to animal size decrease [173]. Studies performed on ‘knock-in’ mice in which all sites phosphorylated by the S6 kinases were mutated also indicated a role for S6 phosphorylation in cell growth [176]. These knock-in cells still demonstrated faster rates of protein synthesis at the same time being decreased in size. This could be explained by elevated access of the S6K to other substrates involved in translation, such as eIF4B and eEF2 kinase (see below) [151].
Another pool of data connecting S6K1 activity and translation initiation occurs from the study of potential tumor suppressor, Programmed cell death 4 (PDCD4) protein (Figure 5A). PDCD4 binds to eIF4A and is thought to inhibit its helicase activity [177]. PDCD4 is also thought to prevent eIF4A from incorporating into the eIF4F complex by competing with eIF4G for eIF4A binding [178]. S6K1 phosphorylates PDCD4 on S67 in response to growth factor stimulation resulting in its subsequent degradation through the ubiquitin ligase βTrCP101. Therefore, S6K1-dependent phosphorylation of PDCD4 prevents the inhibitory effect of PDCD4 towards eIF4A helicase function within the eIF4F complex.
Recent data give new evidence on interconnection of the mTOR/S6K1 pathway and translation preinitiation complex assembly [172, 179]. Under the poor growth conditions, S6K1 but not mTORC1 binds with multisubunit initiation factor eIF3 that was identified as a dynamic scaffold for mTORC1 and S6K1 binding [172] (Figure 5B). Upon growth factors or nutrients availability, the mTORC1 is recruited to eIF3 and phosphorylates S6K1. Based on polysome analysis and cap-binding assays, it is thought that the mTORC1–eIF3 complex associates with the mRNA 5′ cap, bringing mTORC1 into proximity with 4EBP1. Phosphorylation of S6K1 at T389 leads to its dissociation from eIF3. T389-phosphorylated S6K1 binds to PDK1 (Figure 5A), which phosphorylates S6K1 at T229. The fully activated S6K1 is able to phosphorylate eIF4B and S6. Phosphorylation of eIF4B by S6K1 at S422 promotes its association with eIF3 [172, 180]. The interaction of mTOR with eIF3 also strengthens the association between eIF4G and eIF3 [181]. Described interactions cooperate to enhance the assembly of translation initiation complex and facilitate cap-dependent translation.
The S6 kinases are activated by phosphorylation at multiple sites. Several of them lie within the C-terminus, while two others lay immediately C-terminal to the catalytic domain. One of these, T389 in the shorter form of S6K1, which is located at a hydrophobic motif carboxyterminal to the kinase domain, is directly phosphorylated by mTOR as part of the mTORC1 complex [182, 183]. Phosphorylation here is required for the consequent phosphorylation of S6K1 by PDK1 at a T229 in the activation loop of the catalytic domain. Phosphorylation at T229 allows full activation of S6K1. S6K2 is likely regulated in a similar manner. Both S6K1 and 2 contain a TOS motif within their N-terminus region, which interacts with Raptor, promoting phosphorylation of S6Ks by mTORC1 [184]. The phosphorylation within the C-terminal region seems to open access to the sites T389/T229, phosphorylation of which provides the complete activation. It is not known exactly which kinase is responsible for C-terminal phosphorylation sites. Nevertheless mTOR also indirectly contributes to the phosphorylation of the C-terminal sites. A motif RSPRR exists in this region probably plays a significant role in the inhibitory effect of the C-terminal region. It has been speculated that a negative S6K1 regulator binds S6K via this motif and that mTOR could broke this binding [184]. The C-terminal region of S6K1 also determines whether S6K1 can be phosphorylated by mTORC2. Mutant S6K1 with deletion of this region is a substrate for mTORC2 [185]. Some data indicate that for S6K1 activation, mTOR can directly phosphorylate S371 in vitro, and this event modulates T389 phosphorylation by mTOR [186, 187].
In addition to the discussed above mTORC1 targets, S6Ks and 4E-BP1, both of which modulate translation initiation, mTOR signaling also regulates the translation elongation process through the phosphorylation of eukaryotic elongation factor 2 (eEF2). eEF2 is a GTP binding protein that mediates the translocation step of elongation [188]. eEF2 is phosphorylated at T56 within the GTP-binding domain and this phosphorylation impedes its ability to bind the ribosome, thus inhibiting its function [188, 189]. Insulin and other stimuli induce the dephosphorylation of eEF2, and this effect is blocked by rapamycin, indicating that this effect is also mediated through mTOR [190]. The eEF2 phosphorylation function is attributed to a highly specific enzyme called eEF2 kinase (eEF2K) [190]. Phosphorylation of eEF2 at T56 by eEF2 kinase impedes the eEF2 binding of to the ribosome and the translocation step of the elongation [188]. The calcium/calmodulin-dependent protein kinase eEF2K is an atypical enzyme since the sequence of its catalytic domain differs substantially from that of other protein kinases, and it is not a member, e.g., of the main Ser-Thr-Tyr kinase superfamily [191]. The C-terminal half of the eEF2K polypeptide contains several sites of phosphorylation including the binding site for the substrate eEF2 at the C-terminus [192]. mTOR negatively regulates eEF2 kinase and consequently activates eEF2. mTOR is considered being able to phosphorylate 3 sites, as was determined by their rapamycin- and/or amino-acid starvation sensitivities [188, 193]. S366 in the C terminus of the catalytic domain has been identified as the site being phosphorylated by S6K and by p90RSK [190]. The phosphorylation at S359 has been shown to be also regulated in a rapamycin-sensitive manner in response to insulin-like growth factor 1 (IGF1) and inactivates eEF2K [194], but the kinase responsible for this phosphorylation remains to be determined. Recently, a novel phosphorylation site located immediately adjacent to the CaM-binding site in eEF2K that is regulated markedly in response to insulin in an mTOR dependent manner has been identified. This site (S78) is not known to be phosphorylated by any known protein kinase in the mTOR pathway. Phosphorylation at this third site also causes the inactivation of eEF2 kinase, in this case by inhibiting the binding of CaM, which binds immediately C-terminal to S78 [193]. eEF2K is thought to be a target of signaling from mTOR independently of other known targets of this pathway, which implies the existence of a novel (probably mTOR-controlled) protein kinase that could acts upon S78 in eEF2K. These data provide a molecular mechanism by which mTOR could regulate peptide chain elongation.
Since the protein synthesis depends on the amount of ribosomes and transfer RNAs (tRNAs) it is important to know that mTOR signaling also contributes to the regulation of tRNA production, promotion of rRNA synthesis and ribosome biogenesis. Thus mTOR signaling tightly regulates transcription of ribosomal RNAs (rRNAs) and tRNAs by RNA polymerases I and III [195]. mTOR can associate with general transcription factor III C (TFIIIC) and relieve its inhibitor Maf1, leading to increased tRNA production. mTORC1 activity also promotes association between transcription initiation factor 1A (TIF-1A) and polymerase I (PolI), thereby promoting rRNA synthesis [35]. The activity of several other transcription factors, such as signal transducer and activator of transcription-1 and -3 (Stat-1 and Stat-3) is also suggested to be regulated by mTORC1-mediated phosphorylation in a rapamycin-sensitive manner [196].
Autophagy is a lysosomal-dependent cellular degradation process that generates nutrients and energy to maintain essential cellular activities upon nutrient starvation. A term autophagy appeared from Greek “auto” (self) and “phagy” (to eat), refers to an evolutionarily conserved, multi-step lysosomal degradation process in which a cell degrades long-lived proteins and damaged organelles. Three forms of autophagy have been identified, namely macroautophagy, microautophagy and chaperone-mediated autophagy that differ with respect to their modes of delivery to lysosome and physiological functions [197]. Macroautophagy (hereafter autophagy) is the major regulated catabolic mechanism that involves the delivery of cytosolic cargo sequestered inside specific intracellular double-membrane vesicles, called autophagosomes to the lysosomal compartment and subsequent fusion with lysosomes to form single-membrane-bound autophagolysosomes, in which the sequestered material is degraded by acidic lysosomal hydrolases. On one hand, autophagy is crucial for cell survival under extreme conditions through degradation of intracellular macromolecules, which provides the energy required for minimal cell functioning when nutrients are deprived or scarce. Also, autophagy-mediated elimination of altered cytosolic constituents, such as aggregated proteins or damaged organelles, preserves cells from further damages, indicating that autophagy plays a protective role in early stages of cancer [198]. On the other hand, autophagy plays a death-promoting role as type II programmed cell death (type II PCD), compared to apoptosis (type I PCD), as a bona fide tumor suppressor mechanism in cancer [199].
mTORC1 downstream signaling and translation regulation. A. mTOR phosphorylates two major targets: 4E-BP1 and S6Ks. Hypophosphorylated 4E-BP1 binds tightly to eIF-4E, thereby preventing its interaction with eIF-4G and thus inhibiting translation. Phosphorylated 4E-BP1 is released from eIF-4E resulting in the recruitment of eIF-4G to the 5′-cap, and thereby allowing translation initiation to proceed. Phosphorylation of p70S6K stimulates its activity towards several substrates, including 40S ribosomal protein S6, translation initiation factor eIF-4B, elongation factor kinase eEF2K, and PDCD4 protein. Following S6K-mediated phosphorylation, eIF-4B is recruited to the translation pre-initiation complex and enhances the RNA helicase activity of eIF-4A. S6K1dependent phosphorylation of PDCD4 prevents its inhibitory effect towards eIF-4A helicase. mTORC1 also contributes to the translation elongation through the regulation of eEF2. mTOR negatively regulates eEF2 kinase (either directly or via p70S6K activation) and thereby activates eEF2. mTOR signaling also contributes to the regulation of tRNA production, promotion of rRNA synthesis and ribosome biogenesis activating TFIIIC and promoting the association between transcription initiation factor 1A and polymerase I respectively. B. In the absence of extracellular stimuli, S6K1 is associated with eIF3 while 4E-BP1 binding to eIF-4E prevents its interaction with eIF-4G and thus inhibiting translation. In response to extracellular stimuli, such as growth factors or nutrients, the mTOR complex is recruited to eIF3 to phosphorylate S6K1 and 4E-BP1. Phosphorylation and activation of S6K1 leads to its dissociation from eIF3. Activated S6K1 then phosphorylates eIF4B and S6. Phosphorylation of eIF-4B 2 promotes its association with eIF3. mTOR also stimulates the association between eIF3 and eIF-4G.
The ability of mTORC1 to regulate autophagy is as highly conserved as well as the process of autophagy itself. AMPK has been indicated as a main upstream regulator of mTORC1 mediated autophagy inhibition.
The mechanism by which TORC1 negatively regulates the autophagic machinery has first been described in yeast. Genetic screenings for autophagy defective mutants led to the identification of more than 30 essential autophagy-related genes (Atg).These proteins can be classified into several groups depending on their function and interdependency. Most upstream is a protein complex that comprises the serine/threonine kinase Atg1, as well as two accessory proteins Atg13 and Atg17. In mammals, two homologs of Atg1, uncoordinated 51-like kinase 1 (ULK1) and ULK2 have been identified. Accumulating evidence suggests that ULK1 is a key regulator of autophagy initiation. ULK1 is directly phosphorylated by TORC1 [200-202]. Recently, it has also been shown that mTORC1-mediated phosphorylation of ULK1 impairs its activation by AMPK and results in an overall decrease in autophagy [203]. ULK1 and ULK2 are found in a stable complex with mammalian autophagy-related protein 13 (mAtg13), the scaffold protein FAK-family interacting protein of 200 kDa (FIP200) [204] [201] and Atg101, an additional binding partner of Atg13 that has no ortholog in yeast [205]. In contrast to yeast, the composition of this complex does not change with the nutrient status. Several data evidence that the phosphorylation status within the Ulk1/2-Atg13-FIP200 complex dramatically changes with the nutrient availability. Under rich growth conditions, mTORC1 associates with the Ulk1/2-Atg13-FIP200 complex, via direct interaction between Raptor and Ulk1/2 (37). The active mTOR phosphorylates Atg13 and Ulk1/2 [201], thereby downregulating Ulk1/2 kinase activity and suppressing autophagy (Figure 6). In response to starvation, the mTORC1-dependent phosphorylation sites in Ulk1/2 are rapidly dephosphorylated by yet unknown phosphatases, what stimulates Ulk1/2 autophosphorylation and phosphorylation of both Atg13 and FIP200. Several serine and threonine residues in human Ulk1 whose phosphorylation was decreased after starvation have been recently identified from which S638 and S758 have been proposed to be most probable mTORC1 negative phosphorylation sites [203, 206]. Ulk1/2 autophosphorylation and following FIP200 and Atg13 phosphorylation in turn leads to translocation of the entire complex to the pre-autophagosomal membrane and to autophagy induction [200, 201, 205]. However, the functional relevance of Ulk1/2-mediated phosphorylation of Atg13 and FIP200 for this recruitment and the relevant phosphorylation sites has not been verified yet. Interestingly, another Ulk1-dependent phosphorylation site in human Atg13 (S318) has been identified recently [207]. The authors of that study could show that the Hsp90-Cdc37 chaperone complex selectively stabilizes and activates Ulk1.
mTORC1 downstream signaling and autophagy regulation. Ulk1 and Ulk2 form a stable complex with Atg13, FIP200 and Atg101. Under fed conditions mTORC1 phosphorylates Ulk1/2 and Atg13, thereby inhibiting the Ulk1/2 kinase activity and complex stability. In response to starvation, the mTORC1-dependent phosphorylation sites in Ulk1/2 are rapidly dephosphorylated, and Ulk1/2 autophosphorylates and phosphorylates Atg13 and FIP200 resulting in translocation of the entire complex to the pre-autophagosomal membrane and autophagy induction. Alternatively, Ulk1/2 is phosphorylated by AMPK and thereby activated. In addition, AMPK indirectly leads to the induction of autophagy by inhibiting mTORC1 through phosphorylation of Raptor or TSC2.
In yeast, autophagosomes originate from a single preautophagosomal structure. Although an equivalent structure seems to be absent from mammalian cells, a special subdomain in the endoplasmic reticulum (ER) termed the “omegasome” has been suggested as a putative origin of autophagosomes. This structure is enriched in PI(3)P, a product of the phosphatidylinositol 3-kinase (PI3K). A hierarchical analysis of the mammalian Atg proteins could recently confirm the recruitment of Ulk1 proximal to these omegasomes [208]. The translocation of Ulk1, presumably in a complex with Atg13 and FIP200, is the initial step of autophagosome biogenesis and is completely abrogated in FIP200–/– cells [208]. The subsequent recruitment of the PI3K depends on Ulk1 and its kinase activity [208]. Recently, two groups found evidence for the mechanism by which Ulk1 and Ulk2 in turn negatively regulate mTORC1 signaling. Particularly, the phosphorylation of Raptor at numerous sites was strongly enhanced after overexpression of Ulk1. Interestingly, one of these residues (T792) is the abovementioned effector site through which AMPK negatively regulates mTORC1 activity [45]. The multiple Ulk1-dependent phosphorylation of Raptor either results in direct inhibition of mTORC1 kinase activity [209], or interferes with Raptor-substrate interaction [210], thus finally leads to reduced phosphorylation of mTORC1 downstream targets.
Apart from mTOR, Ulk1/2 is phosphorylated (probably on S317 and S777 or S555 according to different studies) by AMPK under glucose starvation and thereby activated [112, 203, 211, 212]. Under nutrient sufficiency phosphorylation of ULK1 S758 by active mTORC1 disrupts ULK1 interaction with, and hence activation by, AMPK [203]. Although the data concerning the role of ULK1/2 certain sites phosphorylation is rather discrepant it is clear that in mammals, phosphorylation of ULK1 by AMPK is strongly required for ULK function in the response to nutrient deprivation. Therefore, AMPK could control ULK1 via a two-pronged mechanism, ensuring activation only under the appropriate cellular conditions – firstly, by direct phosphorylation and secondly, by suppression of mTORC1-mediated ULK1 inhibition [212]. Several studies demonstrated that Ulk1 in addition directly interferes with mTORC1 downstream signaling and negatively regulates S6K1 activity, both in Drosophila and mammalian cells [213]. Taken together these data evidence that mTOR subnetwork occupy the key position in autophagic pathways.
In contrast to mTORC1, very little is known about the upstream regulation of TORC2. Rapamycin–FKBP12 complex does not bind directly to mTORC2, but long-term rapamycin treatment disrupts mTORC2 assembly in ~20% of cancer cell lines through an unknown mechanism [56]. It remains to be determined why rapamycin-mediated inhibition of mTORC2 assembly only occurs in certain cell types. One hypothesis suggests that some mTORC2 subunits could prevent the binding of rapamycin/FKBP12 complex to the mTOR FRB domain by the competing mechanism (reviewed in [62]). However, there are no enough data to support this model.
It seems that mTORC2 is activated in response to growth factors but is insensitive to nutrients and energetic stress, [214]. Thus, like TORC1, TORC2 can be stimulated by growth factors through PI3K [3]. Consequently, treatment with PI3K inhibitors can inhibit TORC2-mediated target phosphorylation [85]. Thus it was suggested that mTORC2 lies downstream of PI3K signaling [85]. Rheb which is known as a key upstream activator of mTORC1 showed negative and indirect effect on the regulation of mTORC2 both in Drosophila and mammalian cells [59]. Some data pointed on TSC1-TSC2 function in mTORC2 regulation [92]. Moreover, the TSC1/TSC2 complex was found to physically associate with mTORC2, but not with mTORC1. The molecular mechanism through which the TSC1/TSC2 complex promotes mTORC2 activation is unclear. It is also currently unknown whether some pathways that regulate TSC1/TSC2 ability to inhibit mTORC1, also influence on mTORC2 activation.
The best-characterized target of mTORC2 is AKT, which is phosphorylated at S473 upon TORC2 activation [53, 58, 85]. Numerous studies attempted to identify the crucial kinase(s) (often referred to as PDK2) responsible for the phosphorylation of S473 in Akt. Several enzymes are in the candidate list, including PDK1, integrin-linked kinase (ILK), Akt itself, DNA-dependent protein kinase catalytic subunit (DNA-PKcs) and mTORC2 [215]. Since mTORC2 complex fulfills the role of the Akt S473 kinase, mTORC2 has been identified as the PDK2 [85]. Akt is a member of the AGC kinase family (see above), which also includes S6Ks, serum glucocorticoid-induced protein kinase (SGKs), RSKs, and PKCs [62, 216]. mTORC2 has been shown to phosphorylate AKT, SGK and PKCα [85]. mTORC2 seems to regulate Akt by phosphorylation of its two different sites. The mTORC2-mediated Akt hydrophobic motif phosphorylation on the regulatory S473 site is dependent on growth factor signaling, whereas a basal activity of mTORC2 maintains the constitutive phosphorylation of Akt on T450 site in its turn motif [217]. This difference indicates that phosphorylation of the T450 and S473 sites on Akt by mTORC2 are separate events and might take place at different locations. It has been proposed that translocation of Akt to the plasma membrane coupled with its phosphorylation on T308 and S473 is a critical step in activation of Akt by growth factor signaling [217]. Phosphorylation of AKT on S473 enhances the activation phosphorylation motif at T308, which is absolutely required for AKT activity.
The major functions of mTORC2 include the regulation of cytoskeletal organization and the promotion of cell survival. If the last one is mediated apparently through AKT activation, the mechanisms, which realize mTORC2 function in cytoskeletal reorganization, are not obvious. Paxillin, which functions as a docking protein, localizing to the focal adhesions of adherent cells [218] has been shown to be highly phosphorylated at Tyr118. Knockdown of mTORC2 inhibited the phosphorylation of paxillin [3]. Rho, Rac and Cdc42, three best-characterized members of the Rho family of small GTPases, were demonstrated to be involved in actin cytoskeleton assembly and disassembly [219]. It was reported that mTORC2 may function as upstream regulator of Rho GTPases to regulate the actin cytoskeleton [3].
Interestingly, the TORC2-mediated activation of AKT places TORC2 upstream of TORC1 in the TOR signaling cascade. A most recent publication has highlighted a role for ribosomes in the activation of TORC2 [38]. The authors have found that active mTORC2 was physically associated with the ribosome, and insulin-stimulated PI3K signaling promoted mTORC2-ribosome binding. Interaction of mTORC2 with NIP7 (nuclear import 7, a protein responsible for ribosome biogenesis and rRNA maturation) was shown to be required for full activation of mTORC2 by insulin. Noteworthy, inhibition of protein translation had no effect on mTORC2 activation, supporting the notion that mTORC2 is activated by the ribosome, but not translation. Ribosome associated mTORC2 displays kinase activity toward AKT in vitro. Inhibition of PI3K activity blocks the interaction between the ribosome and mTORC2, as well as inhibits mTORC2 activation in response to insulin, confirming that NIP7-ribosome assembly activates mTORC2 downstream from PI3K. It appears that the mTORC2 components, Rictor and/or Sin1, which are not found in mTORC1, interact with the 60S subunit of ribosome. Interestingly, another study [220] has also recently reported the association of mTORC2 with the ribosome and proposed that the ribosomal association is important for the cotranslational phosphorylation of the AKT turn motif. These findings are coherent with very recent data that point on endoplasmic reticulum (ER), the cellular organelle highly enriched with ribosomes, as a major compartment of mTORC2 localization. Moreover, the signaling from growth factor does not change the ER localization of mTORC2 as well as its translocation to the plasma membrane. Besides it was suggested that the mTORC2-dependent phosphorylation of Akt on S473 occurs on the surface of ER [37]. These observations raise many interesting questions regarding the regulation of TORC2 and its ribosomal interactions, but it also indicates that additional levels of interplay between TORC2 and TORC1 may exist, as both complexes are linked to the process of ribosome biogenesis.
Ras-Erk-RSKs
In addition to the PI3K–Akt pathway, activation of Ras-MAPK signaling can also stimulate mTORC1 activity. The Ras–mitogen-activated protein kinase (MAPK) pathway is a key signaling pathway that is involved in the regulation of normal cell proliferation, survival, growth and differentiation. This pathway includes the whole number of kinases, being regulated through phosphorylation in consecutive order. The Ras–MAPK signaling network has been the subject of intense research because mutations in (or overexpression of) many of the signaling components from this pathway are a hallmark of several human cancers and other human diseases [221]. The Ras–ERK (extracellular signal-regulated kinase-1 and -2) pathway has an established role in regulating transcription [222], but a connection between this pathway and translational regulation is less clear. Over the past few years, mitogen activated Ras–ERK pathway has been shown to trigger the activation of mTORC1 signaling. This is mediated by ERK and RSK dependent phosphorylations of TORC1 pathway components.
p90RSKs (also known as MAPKAP kinase 1 (mitogen-activated protein kinase-activated protein) kinase-1) are a family of Ser/Thr kinases that lies downstream of the Ras–MAPK cascade and has overlapping substrate specificity with Akt. The RSK isoforms are directly activated by ERK1/2 in response to growth factors, many polypeptide hormones, neurotransmitters, chemokines and other stimuli. RSKs phosphorylate several cytosolic and nuclear targets and they are involved in the regulation of different cellular processes, including cell survival, cell proliferation, cell growth and motility. Following the stimulation of cells with growth factors, RSKs are phosphorylated at multiple Ser and Thr residues by several kinases; these phosphorylation events are directly or indirectly initiated by the activation of the ERK/MAPK cascade [223]. Six different phosphorylation sites have been mapped in RSK1/2 (and are conserved in RSK3/4), of which four have been shown to be important for their activity (S221, S363, S380 and T573 in human RSK1). Following mitogen stimulation, ERK1/2 phosphorylates T573 at the C-terminal domain (CTKD) activation loop of RSK, resulting in CTKD activation. ERK1/2 might also phosphorylate S363 (the turn motif) and T359 (unknown function) in the RSK linker region. The activated CTKD of RSK then autophosphorylates S380 in the hydrophobic motif, creating a docking site for PDK1. After binding, PDK1 phosphorylates the NTKD activation loop S221, leading to the complete activation of the protein and following phosphorylation of the substrates by the NTKD. The NTKD also phosphorylates S749 in the CTKD domain of RSK, differentially modulating the interaction of RSK isoforms with ERK1/2 and thereby completing a sequence of coordinated phosphorylation events and protein–protein interactions that culminate in RSK activation and downstream signaling throughout the cell [224]. Other factors that have been shown to be involved in the activation of RSK include the p38 MAPK, the ERK5 MAPK and fibroblast growth factor receptor-3 (FGFR3). RSK was found to phosphorylate TSC2 at the C-terminus S1798 [225] and, to a lesser extent, the two conserved Akt sites (S939 and T1462) and inactivates its suppressor function, thereby promoting mTOR signaling and translation (Figure 7). RSK mediated phosphorylation of TSC2 is additive to AKT mediated inhibitory modifications of TSC2, but how these phosphorylation events lead to TSC2 inhibition remains unclear.
Erk1/2 kinase itself also impacts the mTORC1 regulation. Thus, a number of additional sites on TSC2 were found to be weakly induced by PMA [89], including an ERK consensus site S664. This site, and a second site on TSC2, S540, was independently found to be directly phosphorylated by ERK and to contribute to ERK-mediated activation of mTORC1 signaling [226]. Strikingly, phosphorylation of S540 and/or S664 by ERK was found to disrupt the association between TSC1 and TSC2. This effect was also detected following phosphorylation of the TSC1/TSC2 complex in vitro, suggesting that it is direct and does not require other proteins.
In addition, it was recently shown that RSK also directly impacts the mTORC1 complex phosphorylating Raptor, and thereby promotes mTORC1 kinase activity [46]. RSK phosphorylates at least two evolutionarily conserved Raptor serine residues that lie within a region with no homology to known functional domains. Whereas S721 lies within a classical RSK consensus sequence (RXRXXpS/T), S719 is located within a minimal phosphoacceptor sequence (RXXpS) that was found to be sufficient in other RSK substrates, such as DAPK, c-Fos, and CREB. Although the underlying molecular mechanism of this was not fully defined, this study provided new insights into Ras–ERK signals to mTORC1. As tumor promoting phorbol esters and some growth factors activate mTORC1 signaling independently of AKT, phosphorylation of Raptor by RSK might provide a mechanism to overcome the inhibitory effects of PRAS40 inhibitory phosphorylation of TSC2 at S664 and S1798, respectively [89, 226, 227]. Collectively, these data suggest that ERK signaling activates mTORC1 through multisite phosphorylation events by both ERK and its downstream target RSK.
Erk1/2-RSK pathway also contributes to the mTORC1 downstream signaling, this includes RSK dependent in vivo and in vitro phosphorylation of eukaryotic translation initiation factor-4B (eIF4B) and rpS6 [180]. Although early studies indicated S6K1 and S6K2 as the major rpS6 kinases in somatic cells [228, 229], the role of RSK in regulating site-specific rpS6 phosphorylation and translation in somatic cells has been recently readdressed [230]. Particularly, in vitro and in vivo evidence suggests that S6Ks phosphorylate every site in rpS6, while RSK predominantly phosphorylates S235 and S236 [230]. Studies from S6k1/S6k2-knockout mice showed that there was minimal phosphorylation of rpS6 at S240/244, but there was persistent phosphorylation at S235/236 [173]. In accordance with this finding, RSK1 and RSK2 were shown to phosphorylate rpS6 on S235/236 in response to Ras–MAPK-pathway activation, using an mTOR-independent pathway [230]. The RSK mediated S235/236 phosphorylation correlated with formation of the translation pre-initiation complex and increased cap-dependent translation, pointing that RSK provides an additional mitogen- and oncogene-regulated input that links the ERK pathway to the regulation of translation initiation [230]. Translation initiation factor-4B is also phosphorylated by RSK and S6K on S422 [171, 180]. Therefore, phosphorylation and regulation of eIF4B function by RSK and S6K exemplifies the convergence of two major signaling pathways that are involved in translational control. Together, these findings suggest that the mitogen-activated Ras–ERK–RSK signaling module, in parallel with the PI3K–AKT pathway, contains several inputs to stimulate mTORC1 signaling.
Although the activation of mTORC1 downstream of most cytokines including insulin and growth factors is likely to occur through the Akt and ERK signaling mechanisms described above, accumulating evidence suggests that other cytokines, such as tumor necrosis factor α (TNFα), can also induce mTORC1 activity. TNFα is a proinflammatory cytokine that is involved in many human diseases, including cancer [231, 232]. Early studies implicated the TNFα pathway in mTORC1 activation [233]. Recently, it has been shown that IKKβ (inhibitor of nuclear factor κB (NFκB) kinaseβ; also known as IKBKB), a major downstream kinase in the TNFα signaling pathway, can associate with and phosphorylates TSC1 at S487 and S511, resulting in the inhibition of TSC1–TSC2 and, therefore, the activation of mTORC1 [234]. Tsc1−/− mouse embryo fibroblasts expressing TSC1 mutants lacking these sites lose their responsiveness to TNFα for activation of mTORC1, whereas phosphomimetic mutation lead to a basal increase in mTORC1 signaling. Authors proposed a mechanism involving rapid dissociation of the complex and increased degradation of TSC1. However, the results suggest minimal effects on the stability of the TSC1–TSC2 complex, and the precise mechanism of acute complex inhibition by phosphorylation of these sites is not known. In certain human cancers, TNFα promotes vascular endothelial growth factor (vEGF) expression and angiogenesis through activated mTORC1 signaling as a result of IKKβ mediated suppression of TSC1 [234]. This has provided a plausible mechanism that could link inflammation to cancer pathogenesis. Moreover, TNFα also signals to AKT [231]. Activated AKT in turn induces IKKα (also known as CHUK), [232]. It has been shown that IKKα associates with mTORC1 in an AKT dependent manner [235]. Importantly, IKKα is required for efficient induction of mTORC1 activity by AKT in certain cancer cells [235, 236]. It remains unclear, however, how the association of IKKα with mTORC1 can result in the activation of mTORC1.
mTORC1 crosstalk with the major cytokine signaling pathways. MAPK pathway impinges on the mTORC1 signaling in a few ways. RSK phosphorylates TSC2 at the C-terminus and, to a lesser extent, the two conserved Akt sites thus inactivating its suppressive effect on mTORC1. RSK also directly impacts the mTORC1 complex by phosphorylation of Raptor and thereby upregulates mTORC1 kinase activity. Besides, RSK phosphorylates the rpS6 and eIF-4B to promote cap-dependent translation in response to Ras–MAPK-pathway activation. ERK1/2 kinase contributes to the activation of mTORC1 signaling through direct phosphorylation of TSC2 and probably through the disruption of the association between TSC1 and TSC2. Stress activated signaling pathway might also influence mTORC1 signaling through TSC2 phosphorylation by p38-activated MAPKAPK2 kinase. IKKβ, a major downstream kinase in the TNFα signaling pathway, can associate with and phosphorylate TSC1 leading to the inhibition of TSC1/TSC2 and, therefore, the activation of mTORC1.
Maintenance of cellular energy homeostasis and life-sustaining activity requires their appropriately adaptation to the continually varying surrounding environment. This adaptation is provided by the differential expression of genes that is strictly controlled at the levels of transcription and translation. To provide the rapid response to the environmental cues cells switch vast number of intracellular signaling cascades that define the activity of key proteins responsible for transcription and translation regulation. This implies operative and directed changes in the activities of proteins mediating the signal transduction. Phosphorylation represents one of the most important intracellular regulatory molecular mechanisms since it provides the rapid and reversible activation or downregulation of protein activities. Not surprisingly, mTOR signaling network, which integrates and promotes the prompt respond to environmental changes is mainly regulated through this type of posttranslational modification. mTOR is known as a “switch master” that converts vast array of nutrient-, cytokine-, energy- and stress-sensitive signals into the alterations of cellular metabolism including protein and lipid biosynthesis and autophagy. Indeed such resources consuming processes as growth and proliferation could occur only under the conditions of nutrient and energy sufficiency. When energy or amino acids become limiting, cell growth needs to be restricted and protein production needs to be downregulated so that cells can use their limited resources to survive. mTORC1 contributes to overall cap-dependent translation including initiation and elongation steps by several different pathways. Significantly, all of these pathways use phosphorylation as common molecular mechanism of regulation. Most of the proteins from mTOR-dependent pathways (for instance TSC2, Akt, S6K, etc.) contain multiple phosphorylating sites, which mediate stimulating or negative effect on their activity. Some of mTOR partners are characterized by the hierarchical mode of phosphorylation (rpS6, Akt as the examples), whereby each previous phosphorylation opens the opportunity for the subsequent ones. Interestingly, one certain site could serve as phosphorylation target for more than one kinase, therefore implementing the competitive mechanism of regulation (for instance, eIF4B S422). The complexity of mTOR signaling increases due to the presence of positive or negative feedback loops as well as crosstalk with other pathways. The number of reported phosphorylation sites throughout mTOR pathways constantly increases although the precise molecular meaning of several already discovered phosphorylation events remains unclear. This is also true to some molecular mechanisms of mTORC1 and especially mTORC2 functioning. About mTORC1 signaling, a number of issues remain unresolved. For example, aside from S6K, 4EBP1 and ULK1, the downstream direct targets that mediate the cellular effects of TORC1 signaling are largely unaccounted for. In addition, how the specificity of TORC1 signaling is achieved and how multiple signals are integrated is not known. Concerning TORC2, the upstream regulators are poorly defined. This knowledge seems to be of great significance since mTOR is considered a central node of intracellular signaling network and deregulation of its activity strongly contributes to the wide spectrum of human diseases. Further studies will give us a better understanding of the whole picture of mTORC1/mTORC2 functioning that could be applied to the development of new approaches to the treatment of mTOR-associated diseases.
Heavy metals are found naturally in the Earth’s crust. Any metals and metalloids with an atomic density greater than 4 g cm3 [1] and toxic at low concentrations are considered heavy metals. They cannot be destroyed or degraded. Mercury (Hg), thallium (Tl), lead (Pb), chromium (Cr), arsenic (As) and cadmium (Cd) are some examples of heavy metals. Heavy metals like (e.g., Copper, selenium, and zinc) are required to keep the metabolism of human body. At higher concentrations, they can cause poisoning. They enter into human bodies through drinking water, food and breathing. Industrial, consumer waste, and acid rain breaks the soil particles and releases heavy metals into water bodies like streams, reservoirs, rivers, and groundwater resulting in heavy metal contamination of water supplies. Heavy metals have several potentially harmful side effects. They can find their way into the environment in various ways and are dangerous due to their accumulation for bioaccumulation.
While comparing the chemical’s concentration in the atmosphere, bioaccumulation refers to a rise in the attention of a chemical in a biological organism over time. As molecules are taken up and broken down (metabolized) or discharged and accumulates in living things. As a result, toxicity symptoms may occur due to contaminated potable water, high atmospheric air concentrations near pollution sources, or ingestion through the foods etc.
There are two distinct categories of heavy metals and can be classified into: (i) elements that are necessary for plant growth are B, Cu, Fe, Mo, Ni, and Zn although poisonous to plants and animals if their concentrations reach definite approach. The difference between recommended and harmful levels for many of these elements is minimal; (ii) elements are unnecessary for animals or plants, such as As, Cd, Hg, and Pb. M, land application of treated wastewater (TWW), fertilizers, sewage sludge and manufacturing practices are sources of heavy metals in soils [2].
Heavy metal pollution in the soil is now a global environmental problem that has captivated public interest, owing to growing concerns about protecting agricultural products. Natural processes originating from parent sources and anthropogenic practices bring these components into the soil agro-ecosystem. Because of the potential for accumulation across the food chain, heavy metal exposure presents a significant risk to the public health and well-being of animals and humans. To solve the issue, physical, chemical, and biological remediation approaches have been used.
Heavy metals are found generally in soil due to bioturbation, degradation and weathering of parent materials in small concentrations are considered as trace (less than 1000 mg kg−1) but very occasionally toxic [3, 4]. As a consequence of man’s destruction and amplification of essence’s slowly developing geochemical cycle, soils often accumulate heavy metals above-established background values which are sufficient to pose a risk to human health, livestock, crops, and other media [5].
Heavy metals eventually set off pollutants in the environment when:
The rates of production of these metals through artificial cycles become faster as compared to natural processes.
They are transported from mines to numerous places in the field where there is a greater risk of direct exposure.
Compared to those from the receiving area, concentrations of metals indisposed of goods are comparatively high.
The chemical form of metal in the receiving environment system makes it much more bioavailable [5].
The significant sources contributing to heavy metal accumulation in our ecosystems are:
Plants needs both macronutrients and micronutrients to develop and complete their life cycle. Heavy metals (like Co, Cu, Fe, Mn, Mo, Ni, and Zn) required for plant growth and development [6] are insufficient in certain soils and can be applied as a foliar spray or soil application in fields. In intensive farming systems, substantial amount of fertilizers is used frequently to provide plants with adequate nutrients for plant growth development. However, few heavy metals such as Cd and Pb are present as impurities in the compounds used to supply essential elements, and regular application of fertilizer can remarkably boost their concentration into the soil [7]. Lead and cadmium are known to have little or no physiological activity. Phosphorus containing fertilizers unintentionally introduce Cd and some other certainly harmful elements [such as iron (F), mercury (Hg), and (Pb)] to the soil [8].
In historical agriculture and horticulture, several prevalent insecticides had a considerable amount of metal concentrations. For example, around 10 percent of the chemicals licensed are used as fungicides and insecticides in the United Kingdom in recent years were based on compounds containing Manganese (Mn), Copper (Cu), Zinc (Zn), Hg, and Pb. Fungicidal sprays containing Cu, for instance, Bordeaux mixture (copper sulfate) and copper oxychloride [7], are examples of such pesticides. For many years, lead arsenate was employed in fruit orchards to control parasitic insects. Compounds that contain arsenic have also been widely used to prevent livestock ticks and bananas in New Zealand and Australian countries, where wood timber has been conserved with Cu, Cr, and Arsenic (CCA) formulations. Many abandoned sites now surpass the background concentrations of the soil of these elements. Such pollution may lead to problems, significantly when areas are restored for agricultural or non-agricultural activities. The usage of such materials was more confined, restricted to specific sites or crops than fertilizers [9].
Inadvertently, the manures application (e.g., animal manures or municipal sewage loam) onto the soil results in the build-up of heavy metals like chromium (Cr), arsenic (As), Cu, mercury (Hg), cadmium (Cd), lead, nickel (Ni), selenium (Se) and molybdenum (Mo) [10]. Some animal wastes like poultry, cattle, or pig dung produced in farming are often used as solids and slurries on crops and pastures [11]. While most manures are regarded as helpful fertilizers, Zn or Cu are given in diets as growth enhancers and added as supplements could have the capacity to bring about metal pollution of the soil, livestock and poultry industries [11, 12]. Manures produced by animals consuming those diets have significant concentrations of Zn, As, and Cu, leading to the substantial accumulation of heavy metals in the soil if it is frequently applied to restricted sections of land.
Biosolids are predominantly waste materials having organic origin created by wastewater treatment procedures that can also be reused to benefit the environment [13]. Biosolids materials are applied to the soil in many countries to reuse the biosolids produced by urban populations [14]. More than 30% of the wastewater is used as a fertilizer in the farming sector in the European Community [15]. Approximately 2.8 MT of dry sewage sludge utilized or get rid of per annum in the United States is anticipated to be land applied, and biosolids are utilized in agriculture throughout the country.
The possibility of composting biosolids with other organic substances like sawdust, stroke, or garden waste is also of considerable curiosity. Biosolids’ potential to contaminate the soils with heavy metals has prompted widespread review about their usage in agricultural sector [16]. The most frequent heavy metals in these are Zn, Cd, Cu, Ni, Cr, and Pb, and the metal content depend on the nature, intensity, and techniques used to treat biosolids [17]. These metals applied to soils as part of biosolids treatments can seep into the soil profile and pollute groundwater in certain conditions [18]. For example, increased amounts of Zn, Ni, and Cd in drainage leachates have been found in recent investigations on certain New Zealand soil amended with biosolids [19, 20].
Municipal and polluted wastewater is being applied to agricultural land for over four 100 years, a prevalent exercise in many sections of the world [21]. Such liquid waste is being used to irrigate 20 million hectares of agricultural land around the world. As per studies, wastewater irrigation-based agriculture is responsible for 50% of the vegetable supply to metropolitan parts in many African and Asian cities. Farmers are unconcerned about environmental impact or consequences and only focus on enhancing their production and profitability. Irrigation with such water leads to accumulation of heavy metal in the soil even though metals in industrial wastewaters are typically low.
Across many countries have been vouchsafed by the mining and milling of metals and the fabrication, the legacy of vast disseminating pollutants of metal contamination in soil. At the time of mining, the residues of ores are straightaway released into natural depressed geologic formation and swamps, resulting in upraised contents [22]. Voluminous mining and smelting of Zn and Pb, thus polluting the soil, risk ecological and human health risks. Furthermore, various recovery methods applied at these sites can be long and exorbitant, and soil productivity may not be restored. Comprehend pathways comprise the absorption of plant material being grown in or direct absorption of polluted soil [10].
More materials are produced by diverse industries like petrochemicals, textile, tanning by fortuitous oil spills, petroleum-based products being used, pesticides, and pharmaceutical provisions significantly fluctuating in the constitution. Though some are inclined of on land, some have suitable for forestry or agriculture. Moreover, numerous are certainly precarious due to their concentration of weighty metals (Zn, Pb, and Cr) or poisonous biological compounds that are rarely, if by any chance, used on land. Rest are highly deprived of nutrients or possess no soil improving properties [11].
Metals can be found in the air due to stack or duct emissions of air, gas, or vapor streams, as well as fugitive emissions including dust from warehouses or garbage dumps. Metals emitted from the air are usually discharged as particles in the gas stream. Following high-temperature processing, several metals, such as Pb, Cd, and As, can also volatilize. Natural air currents can also disperse stack emissions over a large area until they are removed from the gas stream by dry and wet precipitation processes.
Agricultural lands near smelting sites have been discovered to have very high levels of Cd, Pb, and Zn. Airborne emissions of Pb from the combustion of fuel including tetraethyl lead are yet another major cause of soil pollution; this contributes significantly to the Pb concentration in urban areas. Tires, lubricating fluids are two sources of Cd and Zn that can be introduced into soils near highways [23].
Organic soil amendments have been widely used to binding heavy metals by changing their forms from initially highly bioavailable forms to the much less bioavailable fractions associated with organic matter (OM), metal oxides, or carbonates [24]. These amendments have significant binding effects on heavy metals because it contains humic acids which bind with a wide variety of metal(loid)s including Cd, Cr, Cu, and Pb [25]. The commonly used soil amendments which are organic in nature are composts of different origins, manures, sawdust, sewage sludge, and wood ash [26]. The two major advantages of these amendments as compared to other soil amendments are relative of lower cost and they commonly facilitate the re juvination of contaminated soils. However, the residual effect of organic amendments on metal solubility should also be considered. Metal extraction depends upon the original OM content, the soil type, and the rate of OM transformation over time [27]. This is the important consideration that addition of a single organic amendment results in the production of many different organic substances. This is because, during the break down of organic matter, various organic acids are released which may alter metal availability [28]. Increased decomposition of OM decreased the surface area and CEC, this is due to an increase in dissolved organic carbon which results in the release of metals [29, 30]. Thus the nature and stability of OM amendments are also important for determining the long-term partitioning of metals between the solution and the solid phase. Various organic manures are used for remediation purposes like FYM, vermicompost, biochar and Poultry manure. In this chapter, the effect of organic manures on the remediation of heavy metal contaminated soils will be discussed one by one. Let us discuss them one by one:
Various organic amendments were used to remediate heavy metal contaminated soils like farm yard manure and composted organic amendments, The effect of organic manures to be applied depends upon the nature, mobility, and the bioavailability of metal, its microbial decomposition, and its further effects on soil chemical and physical proprieties [31]. Using amendments in contaminated soils, metal Immobilization is a remediation measure that decreases mobility and phytoavailability of metals in the soils and their plant uptake [32]. It is being used by farmers as source of nutrition to field crops. Low availability of this manure is a major problem on its use as a source of nutrients. FYM controls the production of crop and maintain properties of soil and it can be used to decrease heavy metal stress in plants. The FYM, pig and cow manure decreased available Ni content in soil due to the formation of strong metal complexes with OM [33]. In sandy loam soil, application of FYM significantly reduced Cd and Pb content in the shoots and roots of Amaranth [34]. Due to increased soil pH, complexation of metal with OM and co-precipitation with P content, the metal concentration in tissues of plants for metals (Cu, Zn, and Pb) will be decreased in
Vermicompost (VC), the organic input, is produced from various organic wastes. It is a rich source of antibiotics, enzymes, immobilized microflora and various growth hormones like gibberellins which synchronize the growth of plants and microbes. It has the ability to improves the quality of growing plants and also increases growth resulting in improved metal toxicity. Vermicompost is a rich source of nutrients, increases the soil fertility. In contaminated soil, application of vermicompost improves soil physical and chemical characterstics of soils. Heavy metal contaminated soils are also bioremediated with vermicompost and spent mushroom compost. Bioremediation is done through vermiremediation. Vermiremediation is an applied science to get rid of heavy metals from soil.
The biochar is highly aromatic, where the functional groups associated with it, which give the biochar a net negative charge, resulting in increased CEC in soil with increased adsorption capacity for both organic and inorganic compounds, and greater nutrient retention. Biochar has a porous body, charged surface, and many different surface functional groups and contains significant amounts of humic and fulvic-like substances [47]. It has also been used to remediate heavy metals from soils and water. Different kinds of biochar derived from plant residues and animal manures are used to reduce the mobility and availability of metal in contaminated soil and water. Mostly biochars are alkaline in nature and released the available form of P, K, and Ca. In general, application of biochar reduced the concentrations of zinc and cadmium by 45 and 300 fold [48]. It is due to sorption mechanism which is used for the withholding of metals by biochars. The Cu leaching was correlated with higher DOC contents [49]. Biochar, when applied to the soil, improves quality and productivity of soil because the oxides, hydroxides, and carbonates present in biochar can act as liming agents [50]. Biochar can reduce soil bulk density and thereby increases water infiltration, soil aeration, root penetration, and increase soil aggregate stability. Biochar spiked soil has soil pH > 7 which is found suitable for the rise of fungal hyphae. Adding higher amounts of biochar to soil increased the environment for microbes, with promoted growth via increased porosity [51]. Therefore, it is critical to consider both soil and biochar properties when it is used for the remediation of salt-affected soils and the source of the feedstock used to produce the biochar which is used as an organic amendment [52]. Generally, biochar application could be recommended as an appropriate amendment for in-situ remediation and immobilization of the heavy metals especially for lead and cadmium in contaminated soils [53].
Poultry manure is also used to remediate heavy metals from soil. A study was conducted to study the effectiveness of the adding poultry manure on the bioavailability of trace metals from the contaminated soil after treatment with wastewater [54]. It was applied @ 10 and 20 t ha−1 and found that the addition of manure increased fenugreek biomass and decreased trace metal uptake depending on the combination of composted manures used. Trace metal concentrations in the fenugreek shoots were in the order of Pb > Ni > Zn > Cu > Cd. Soils amended with Poultry litter reduced trace metal concentrations more than composted manure which is true for the plant uptake. It was concluded that following the combined application of composted manure with residues of plant can be effectively used for remediating trace metal concentration in soils and crops. Chicken-manure biochar is used as a soil amendment to immobilize and detoxify heavy metals like cadmium and lead.
Certain plant species are also used to remediate heavy metals. They can accumulate a high amount of heavy metals in upper parts of plants. Indian mustard plant is used for phytoremediation [55]. So, Biocar can also remediate heavy metal toxic soils.
The addition of organic manures to polluted soils has some beneficial effects on soil properties. The most important factor is soil pH that affect solubility of metal, plant nutrient uptake, plant biomass, microbial activity, and many other characteristics [56]. The increase in soil pH, due to manure addition is due to specific adsorption of organic anions on surfaces of hydrous Fe and Al and the simultaneous liberation of hydroxyl ions [57]. Depending upon the compost sources, pH may either increase or decrease. These amendments improved soil physical characteristics such as particle size distribution, cracking pattern, and porosity. Organic amendments are rich source of nutrients like N, P, and other secondary elements like Ca, Mg, and Fe which are required for plant growth and improves the soil fertility status. The essential nutrients in these amendments are in inorganic forms which are released slowly and subjected to leaching loss compared to inorganic fertilizers [58]. The build-up of soil organic matter through the addition of organic manures increased soluble organic carbon, microbial biomass carbon [59], population and species diversity of microorganisms like bacteria [60], soil respiration [61], and the activity of various soil enzymes [62]. The application of organic amendments to soils results in significant improvements in overall soil quality.
Heavy metals are detrimental to health issues even at very low concentrations due to their long-term persistence, hence they must be removed from environments to maintain the balance of the ecosystem and human health. As a bioremediation approach, removing heavy metals from the soils by using organic amendments was discussed. Organic amendments are very effective in mitigating the effects of heavy metals from the soil. Hence, the chapter concluded that the application of organic manures like FYM, Vermicomposting, biochar, poultry manure reduced the heavy metal toxicity. Large quantities of organic amendments are used as a source of nutrients and also as a conditioner to improve the soil physical properties and fertility of soils. These organic amendments can be used as a sink for reducing the bioavailability of heavy metals in contaminated soils through their effect on the adsorption, complexation, reduction, and volatilization of metals.
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The chapter describes the design, implementation and integration of a ground penetrating radar (GPR) using a software defined radio (SDR) platform into the aerial drone. The chapter?s goal is first to tackle in detail the development of a custom-designed lightweight GPR by approaching interplay between hardware and software radio on an SDR platform. The SDR-based GPR system results on a much lighter sensing device compared against the conventional GPR systems found in the literature and with the capability of re-configuration in real-time for different landmines and terrains, with the capability of detecting landmines under terrains with different dielectric characteristics. Secondly, the chapter introduce the integration of the SDR-based GPR into an autonomous drone by describing the mechanical integration, communication system, the graphical user interface (GUI) together with the landmine detection and geo-mapping. This chapter approach completely the hardware and software implementation topics of the on-board GPR system given first a comprehensive background of the software-defined radar technology and second presenting the main features of the Tx and Rx modules. Additional details are presented related with the mechanical and functional integration of the GPR into the UAV system.",book:{id:"5905",slug:"robots-operating-in-hazardous-environments",title:"Robots Operating in Hazardous Environments",fullTitle:"Robots Operating in Hazardous Environments"},signatures:"Manuel Ricardo Pérez Cerquera, Julian David Colorado Montaño\nand Iván Mondragón",authors:[{id:"177422",title:"Dr.",name:"Julian",middleName:null,surname:"Colorado",slug:"julian-colorado",fullName:"Julian Colorado"},{id:"197884",title:"Prof.",name:"Ivan",middleName:null,surname:"Mondragon",slug:"ivan-mondragon",fullName:"Ivan Mondragon"},{id:"199958",title:"Prof.",name:"Manuel",middleName:null,surname:"Perez",slug:"manuel-perez",fullName:"Manuel Perez"}]},{id:"15855",title:"Kinematics of AdeptThree Robot Arm",slug:"kinematics-of-adeptthree-robot-arm",totalDownloads:14668,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"152",slug:"robot-arms",title:"Robot Arms",fullTitle:"Robot Arms"},signatures:"Adelhard Beni Rehiara",authors:[{id:"29287",title:"Dr.",name:"Adelhard",middleName:"Beni",surname:"Rehiara",slug:"adelhard-rehiara",fullName:"Adelhard Rehiara"}]},{id:"62978",title:"Intelligent Robotic Perception Systems",slug:"intelligent-robotic-perception-systems",totalDownloads:2443,totalCrossrefCites:5,totalDimensionsCites:11,abstract:"Robotic perception is related to many applications in robotics where sensory data and artificial intelligence/machine learning (AI/ML) techniques are involved. Examples of such applications are object detection, environment representation, scene understanding, human/pedestrian detection, activity recognition, semantic place classification, object modeling, among others. Robotic perception, in the scope of this chapter, encompasses the ML algorithms and techniques that empower robots to learn from sensory data and, based on learned models, to react and take decisions accordingly. The recent developments in machine learning, namely deep-learning approaches, are evident and, consequently, robotic perception systems are evolving in a way that new applications and tasks are becoming a reality. Recent advances in human-robot interaction, complex robotic tasks, intelligent reasoning, and decision-making are, at some extent, the results of the notorious evolution and success of ML algorithms. This chapter will cover recent and emerging topics and use-cases related to intelligent perception systems in robotics.",book:{id:"7227",slug:"applications-of-mobile-robots",title:"Applications of Mobile Robots",fullTitle:"Applications of Mobile Robots"},signatures:"Cristiano Premebida, Rares Ambrus and Zoltan-Csaba Marton",authors:[{id:"203409",title:"Ph.D.",name:"Cristiano",middleName:null,surname:"Premebida",slug:"cristiano-premebida",fullName:"Cristiano Premebida"},{id:"254880",title:"Dr.",name:"Rares",middleName:null,surname:"Ambrus",slug:"rares-ambrus",fullName:"Rares Ambrus"},{id:"254881",title:"Dr.",name:"Zoltan-Csaba",middleName:null,surname:"Marton",slug:"zoltan-csaba-marton",fullName:"Zoltan-Csaba Marton"}]},{id:"67705",title:"Advanced UAVs Nonlinear Control Systems and Applications",slug:"advanced-uavs-nonlinear-control-systems-and-applications",totalDownloads:1971,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Recent development of different control systems for UAVs has caught the attention of academic and industry, due to the wide range of their applications such as in surveillance, delivery, work assistant, and photography. In addition, arms, grippers, or tethers could be installed to UAVs so that they can assist in constructing, transporting, and carrying payloads. In this book chapter, the control laws of the attitude and position of a quadcopter UAV have been derived basically utilizing three methods including backstepping, sliding mode control, and feedback linearization incorporated with LQI optimal controller. The main contribution of this book chapter would be concluded in the strategy of deriving the control laws of the translational positions of a quadcopter UAV. The control laws for trajectory tracking using the proposed strategies have been validated by simulation using MATLAB®/Simulink and experimental results obtained from a quadcopter test bench. Simulation results show a comparison between the performances of each of the proposed techniques depending on the nonlinear model of the quadcopter system under investigation; the trajectory tracking has been achieved properly for different types of trajectories, i.e., spiral trajectory, in the presence of unknown disturbances. Moreover, the practical results coincided with the results of the simulation results.",book:{id:"7792",slug:"unmanned-robotic-systems-and-applications",title:"Unmanned Robotic Systems and Applications",fullTitle:"Unmanned Robotic Systems and Applications"},signatures:"Abdulkader Joukhadar, Mohammad Alchehabi and Adnan Jejeh",authors:null}],onlineFirstChaptersFilter:{topicId:"22",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82223",title:"Biomechanical Design Principles Underpinning Anthropomorphic Manipulators",slug:"biomechanical-design-principles-underpinning-anthropomorphic-manipulators",totalDownloads:12,totalDimensionsCites:0,doi:"10.5772/intechopen.105434",abstract:"The biomechanical design of an artificial anthropomorphic manipulator is the focus of many researchers in diverse fields. Current electromechanical artificial hands are either in the research stage, expensive, have patents, lack severely in function, and/or are driven by robotic/mechanical principles, which tend to ignore the biological requirements of such designs. In response to the challenges addressed above this chapter discusses the potential of current technology and methods used in design to bridge the chasm that exists between robot manipulators and the human hand. This chapter elucidates artificial anthropomorphic manipulator design by outlining biomechanical concepts that contribute to the function, esthetics and performance of artificial manipulators. This chapter addresses joint stabilization, tendon structures and tendon excursion in artificial anthropomorphic manipulators.",book:{id:"11455",title:"Recent Advances in Robot Manipulators",coverURL:"https://cdn.intechopen.com/books/images_new/11455.jpg"},signatures:"Mahonri William Owen and Chikit Au"},{id:"82056",title:"Learning Robotic Ultrasound Skills from Human Demonstrations",slug:"learning-robotic-ultrasound-skills-from-human-demonstrations",totalDownloads:14,totalDimensionsCites:0,doi:"10.5772/intechopen.105069",abstract:"Robotic ultrasound system plays a vital role in assisting or even replacing sonographers in some cases. However, modeling and learning ultrasound skills from professional sonographers are still challenging tasks that hinder the development of ultrasound systems’ autonomy. To solve these problems, we propose a learning-based framework to acquire ultrasound scanning skills from human demonstrations1. First, ultrasound scanning skills are encapsulated into a high-dimensional multi-modal model, which takes ultrasound images, probe pose, and contact force into account. The model’s parameters can be learned from clinical ultrasound data demonstrated by professional sonographers. Second, the target function of autonomous ultrasound examinations is proposed, which can be solved roughly by the sampling-based strategy. The sonographers’ ultrasound skills can be represented by approximating the limit of the target function. Finally, the robustness of the proposed framework is validated with the experiments on ground-true data from sonographers.",book:{id:"10823",title:"Cognitive Robotics",coverURL:"https://cdn.intechopen.com/books/images_new/10823.jpg"},signatures:"Miao Li and Xutian Deng"},{id:"82057",title:"An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building",slug:"an-episodic-procedural-semantic-memory-model-for-continuous-topological-sensorimotor-map-building",totalDownloads:8,totalDimensionsCites:0,doi:"10.5772/intechopen.104818",abstract:"For humans to understand the world around them, learning and memory are two cognitive processes of the human brain that are deeply connected. Memory allows information to retain and forms an experiences reservoir. Computational models replicating those memory attributes can lead to the practical use of robots in everyday human living environments. However, constantly acquiring environmental information in real-world, dynamic environments has remained a challenge for many years. This article proposes an episodic-procedure semantic memory model to continuously generate topological sensorimotor maps for robot navigation. The proposed model consists of two memory networks: i) episodic-procedural memory network (EPMN) and ii) semantic memory network (SMN). The EPMN comprises an Incremental Recurrent Kernel Machines (I-RKM) that clusters incoming input vectors as nodes and learns the activation patterns of the nodes for spatiotemporal encoding. The SMN then takes neuronal activity trajectories from the EPMN and task-relevant signals to update the SMN and produce more compact representations of episodic experience. Thus, both memory networks prevent catastrophic forgetting by constantly generating nodes when the network meets new inputs or updating node weights when the incoming input is similar to previously learned knowledge. In addition, idle or outlier nodes will be removed to preserve memory space.",book:{id:"10823",title:"Cognitive Robotics",coverURL:"https://cdn.intechopen.com/books/images_new/10823.jpg"},signatures:"Wei Hong Chin, Naoyuki Kubota and Chu Kiong Loo"},{id:"81922",title:"Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration",slug:"skill-acquisition-for-resource-constrained-mobile-robots-through-continuous-exploration",totalDownloads:18,totalDimensionsCites:0,doi:"10.5772/intechopen.104996",abstract:"We present a cognitive mobile robot that acquires knowledge, and autonomously learns higher-level abstract capabilities based on play instincts, inspired by human behavior. To this end, we (i) model skills, (ii) model the robot’s sensor and actuator space based on elementary physical properties, and (iii) propose algorithms inspired by humans’ play instincts that allow the robot to autonomously learn the skills based on its sensor and actuator capabilities. We model general knowledge in the form of competencies (skills) of the mobile robot based on kinematic properties using physical quantities. Thus, by design, our approach has the potential to cover very generic application domains. To connect desired skills to the primitive capabilities of the robot’s sensors and actuators, it playfully explores the effects of its actions on its sensory input, thus autonomously learning relations and dependencies and eventually the desired skill. KnowRob is used for knowledge representation and reasoning, and the robot’s operation is based on ROS. In the experiments, we use a millirobot, sized 2 cm2, equipped with two wheels, motion, and distance sensors. We show that our cognitive mobile robot can successfully and autonomously learn elementary motion skills based on a playful exploration of its wheels and sensors.",book:{id:"10823",title:"Cognitive Robotics",coverURL:"https://cdn.intechopen.com/books/images_new/10823.jpg"},signatures:"Markus D. Kobelrausch and Axel Jantsch"},{id:"81693",title:"The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challenges",slug:"the-neo-mechanistic-model-of-human-cognitive-computation-and-its-major-challenges",totalDownloads:13,totalDimensionsCites:0,doi:"10.5772/intechopen.104995",abstract:"The neo-mechanistic theory of human cognition is currently one of the most accepted major theories in fields, such as cognitive science and cognitive neuroscience. This proposal offers an account of human cognitive computation, and it has been considered by its proponents as revolutionary and capable of integrating research concerning human cognition with new evidence provided by fields of biology and neuroscience. However, some complex cognitive capacities still present a challenge for explanations constructed by using this theoretical structure. In this chapter, I make a presentation of some of the central tenets of this framework and show in what dimensions it helps our understanding of human cognition concerning aspects of capacities, such as visual perception and memory consolidation. My central goal, however, is to show that to understand and explain some particular human cognitive capacities, such as self-consciousness and some conscious informal reasoning and decision making, the framework shows substantial limitations. 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