Kinase activity reporters and associated references.
Abstract
Modulation of protein kinases activity is often requested for pathogenicity or virulence. This chapter provides several hints for one who might be interested in using FRET-based kinase activity reporters. The archetypes of these reporters, which are now within the arsenal of biosensors, were devoted to the detection and characterization of the activity of the cAMP-Protein kinase A pathway. Based on the principle of this biosensor, other FRET-based kinase activity reporters emerged. Here, the choice of the kinase to be monitored, the artifacts that might be met, and the flexibility and amenability of the FRET-based kinase activity reporters both for high-throughput analysis and dissection of protein kinase functions are discussed.
Keywords
- genetically encoded biosensor
- KAR
- fret
- MAPK
- ERK
1. Introduction
Biological signatures of parasitic diseases may (1) involve the production and release of specific proteases, which are called to promote host invasion, to evade host defenses or to provide nutrients from the local environment [1] or (2) rely on the modulation of specific protein kinases activity such as mitogen-activated protein kinase (MAPK)/extracellular regulated kinase (Erk,
Herein, we discuss several aspects related to use of biosensors in living cell contexts, which are of high interest in the perspective of biosensing in living organisms. Nevertheless, we restrain our talk to signaling pathways and focus on protein kinases. One shall note that biosensor is a generic term describing the various analytical devices incorporating a biological sensing element. Back in the 1980s, biosensors were mainly either sophisticated laboratory machines or amenable portable devices [5] based on electric currents [6] or conductivity [7]; optical properties [8] or other physico-chemical measurements. In the 1990s, emerged a plethora of new tools, conforming to the biosensor definition, and reporting enzymes activities. The latter were built and developed in different contexts (living cells, lysates), aiming at benefiting either from high sensitivity or selectivity. To these extents, devices like amperometric biosensors [9], bioluminescent-based sensors
Among biosensors, genetically encoded Förster Resonance Energy Transfer (FRET) biosensors raised hope to focus on both enzymatic activities and ion concentration with high spatiotemporal resolution in both living cells and organisms. It relies on Förster Resonance Energy Transfer, or FRET, a radiationless coupling from a donor fluorophore to an acceptor molecule. Several conditions must be met for this transfer to occur (spectral overlap between fluorophore, dipole relative orientation or distance). The most useful property is that the donor and acceptor molecules must be in close vicinity (for commonly used fluorophore pairs, <10 nm) and that the FRET level depends on the sixth power of the distance between fluorophores. FRET biosensors are thus built to switch between two configurations where the distance between donor and acceptor are above and below this threshold distance (Figure 1). They are made of an adapted bioreceptor tagged on both end with a donor and acceptor. The biosensor configuration will be specifically altered by the presence of either a second messenger or the action of an enzyme, inducing either an increase or decrease in FRET efficiency. A FRET event will induce changes in most properties of light such as fluorophores excitation and emission or donor fluorescence polarization or lifetime. A variety of fluorescence-based methods are then derived from these changes to quantify biosensors’ response with associated fluorescence microscopy benefits (selectivity, low toxicity, high temporal and spatial resolution, optical sectioning, etc.).

Figure 1.
Scheme representing two categories of FRET-based biosensors. A, Kinase activity reporters reflect the balance between specific kinase and phosphatase; protease reporters (B) rely on an irreversible cleavage. Regarding interpretation, an increase in kinase activity will be reflected by an increase in FRET level, while the protease activation will induce a loss in the original FRET signal.
2. Kinase activity reporter archetypes
Being two FRET-based biosensors for protein kinase A activity, protein kinase A activity reporter (AKAR) and exchange proteins activated by cAMP (Epac) are considered as the archetypes for genetically encoded FRET reporters. Activity of protein kinase A (PKA) is controlled by cyclic adenosine monophosphate (cAMP) levels, which behaves as a second messenger for many cellular responses driven by external stimuli. The tandem cAMP-PKA is considered to play many essential functions within cellular life like cell cycle [15]. cAMP concentration is regulated by the activity of adenylyl cyclase, the latter being activated by G protein coupled receptor (GPCR), upon the specific interaction with its ligand. Under its inactive state, PKA is made up of regulatory subunit dimers associated with catalytic subunit dimers. The activation of PKA requests the fixation of four molecules of cAMP that are catalyzed on the regulatory subunit. Such fixation of the cAMP leads the catalytic dimer to dissociate (Figure 2). Counteracting the activity of adenylyl cyclase and phosphodiesterase downregulates PKA activity through cAMP degradation.

Figure 2.
Focus on the PKA and cAMP signaling node. GPCR (G protein coupled receptor), R (regulatory subunit), C (catalytic subunit) of protein kinase A and PDE (PhosphoDiEsterase).
As mentioned earlier, two FRET-based biosensors have been developed and devoted to study the dynamics of c-AMP-PKA, mainly to overcome the shortcomings of the classical biochemical methodologies and to monitor individual cellular responses, which can either be sub-localized or transient. Both biosensors were based upon a similar structure: a specific phosphorylable peptide and a phosphoamino acid binding domain (PAABD), standing together between two fluorophores [16]. When phosphorylated, the peptide sequence interacts with PAABD, driving a conformational change bringing the fluorescent proteins in close vicinity. The latter enables the FRET to occur and provides measurable changes acknowledging for the activity of the considered enzyme, here PKA in case of AKAR. While AKAR mirrors the activities of kinase/phosphatases on a specific substrate of PKA [17], Epac proteins aimed at measuring the changes in concentration of cAMP. These biosensors unfold their structure upon the fixation of cAMP and break the vicinity of the donor and acceptor fluorescent proteins. Thus, while FRET increase is related to an increase in PKA activity in case of AKAR, a decrease in FRET activity is related to the increase of cAMP levels. The two biosensors provided complementary information regarding the levels of cAMP and PKA, being two angles of a same pathway.
From the initial development of kinase-specific biosensor for cAMP and kinases, several derivatives have been built as illustrated by the extracellular signal regulated kinase activity reporter (EKAR) variants (see Table 1) [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]. Indeed, kinase activity reporters (KAR) follow fluorophores’ optimizations for FRET assay, thereby increasing their sensitivity and robustness. Furthermore, microscopy measurements allow sub-localization of kinase activity, which may be mandatory for the understanding of signaling nodes. KAR versions directed toward the different subcellular compartments were thus developed.

Table 1.
3. Choosing the right kinase activity to report: the needle in a haystack
Biological messages are mediated by intracellular signaling pathways, whose dynamics and interplays have not yet been fully deciphered. Biosensors are focused on specific elements of the networks conveying the information and interpretation shall be carried out accordingly. One has to carefully consider the complexity of pathways where protein kinases could be nodes within networks (Figure 3) [46]. Monitoring the phosphorylation of one particular sequence within the sensors will not necessarily reflect its involvement in all functions of the considered kinase.

Figure 3.
Scheme of MAPK1 interactom generated through Cytoscape. MAPK1 is highlighted by the white arrow, spheres correspond to interactors. A focus on MAPK1 node and B represent the overall network.
Modulation of protein kinase activities might be requested for pathogenicity or virulence [47]. Mitogen-activated protein kinase (MAPK)/extracellular regulated kinases (Erk) can be taken as a school case, since the latter activity is solicited in many different aspect of cellular life, that is, proliferation, migration and differentiation. On the one hand, MAPK are inhibited by several pathogens such as anthrax [48, 49], mycobacteria [50],
In this context, after identifying the hijacked node, researcher needs to monitor the pathogenic modulation of the kinase/phosphatase balance. FRET-based biosensors are thus optimal tool for dissecting these subtle alterations, far from binary modifications.
4. Discarding artifacts: chemical inhibitors and dead reporters
Insights gained by genetically engineered enzyme reporters are solely validated through adequate controls. Any response gathered using biosensors shall be carefully considered and fully analyzed: what you might see may not be what you will get as a response at the end of the analysis procedure [58]. Among other parameters, consensus sequence of the phosphorylable peptide, expression levels, kinetics and dynamic ranges have, for example, to be taken in account.
The choice of the peptide substrate is crucial and has to be defined accordingly to the specificity of the kinase, if known. For example, there is a current failure to determine a consensus site for p38MAPK. The latter inability to determine a sequence consensus hinders the amenability to construct any KAR for this particular kinase. The process of the KAR design can be optimized through a screening strategy for the best phosphopeptide sequence [59] or the linkers between the different segments and/or the fluorophores [17].
One shall also take a particular care to discriminate a specific response from the noise within the crowded environment of the intracellular compartments. The cellular noise depends upon the biophysical properties of the chosen cell lines to work with, as well as results from cell autofluorescence, intracellular pH and biosensors expression levels. In case of KAR, morphological changes are likely not to alter the signals, as observed for monitoring cyclin-dependent kinase 1 (Cdk1) activity during cell rounding at the beginning of mitosis [60].
To discriminate the noise, several options might be undertaken to determinate the specificity and dynamical range of response. First is the use of chemical inhibitors to separate the balance of kinase/phosphatase activity from the cellular noise (
Though time-consuming, these steps of artifacts controls and intrinsic properties characterization of sensors are mandatory for proper analysis of KAR spatiotemporal profiles (Figure 4).

Figure 4.
Time-lapse FRET measurement applied on MCF-7 cells expressing EKAR biosensor after EGF activation of the ERK pathway at 10 mn. The upper panel corresponds to FRET level color-coded from dark grey (low activity) to white (high activity). The bottom graph corresponds to the mean FRET measurement of both cells with N the biological “noise” and “A” the maximum amplitude achieved after induction. This state-of-the-art experiment illustrates the advantages of cell by cell analysis. Indeed, even two cells treated exactly in the same way can behave differently upon network activation. In this case, the maximum amplitude, the time needed to reach maximum activation and the duration before returning to the basal activity are different. Averaging these behaviors upon a large amount of cells can smooth or mask the individual response to stimuli and make it difficult to dissect regulatory networks.
5. A dynamic and flexible tool
Among the FRET-based biosensors, several categories exist and might have an impact on data interpretation. Especially, the change in FRET level can be due to either a configuration change or a cleavage of the sensor. In the first case, the sensor will be reversible as it is the case for most kinase activity reporters. Thus, the sensor will not monitor the kinase activity, but the balance between the kinase and its phosphatase counterpart. Cleavage-based reporters will have an irreversible response. In this case, the cumulative effect of the enzyme will be measured. Both behaviors are represented in Figure 5. In Figure 5A, a cyclic alternation of kinase and phosphatase action and associated biosensor response is depicted. While both behave in a similar manner upon the first kinase action, measurements diverge after the first phosphatase effect. Indeed, reversible sensors will then return to their basal level where the irreversible sensor will not be altered. Thus, while the second kinase activation will induce the same increase for both sensors, the final level will be different due to the cumulative effect observed for the irreversible version. More complex behavior is illustrated in Figure 5B.

Figure 5.
Illustration of sensor response to the balance between a kinase (k) and a phosphatase (p). (A) Sequential activation of a kinase and its phosphatase counterpart and associate response measured with either a reversible or an irreversible sensor. Upper panel: scheme representing both biosensors behavior after each activation step. Bottom panel: Associated activity and measured response. (B): Illustration of a more complex kinase/phosphatase oscillatory behavior with both sequential and simultaneous activation with different amplitudes and duration of activation. Irreversible sensors present a smooth response to kinase activity until cleavage of all available sensors. Reversible sensors are impacted by both kinase and phosphatase. While it offers a more realistic view of regulatory nodes, one shall keep in mind for interpretation that (i) the measure depends on the global state of the sensor. Kinase activation after a strong phosphatase period will take some time to change KAR conformation and thus to restore a positive response (T = 37 min). Thus, interpretation of time-lapse measurements is way easier than single acquisition. (ii) No difference can be made between no activity and a balance between kinase and phosphatase. Both will result in a constant behavior of the sensor (T = 18 min). (iii) An increase in the phosphatase activity can also result in activity measurements below the equilibrium value (T = 15 min).
From these simple schemes, it seems obvious that dissecting a node regulated by a kinase will be way easier with reversible sensors. Nevertheless, one should keep in mind that despite the name of sensors like KAR, reversibility mirrors the equilibrium of two enzymes. Thus, the measure corresponds to the kinase/phosphatase balance and biological interpretation should be made accordingly.
6. Amenability of FRET-based biosensors for high throughput
Perspectives are on different battleground for KAR use: (1) detection on environment or within living organisms and/or (2) untangling the host-pathogen interaction and the hijacking of host metabolism and signaling pathways (either to benefit from them or to mask host presence). Requested tools have therefore to be chosen accordingly to the purpose and to face the demand for high-throughput strategies or to face the complexity of molecular interactions within living organisms.
Energy transfer biosensors’ sensitivity has been increased by the numerous multidisciplinary advances in the fields of photophysics, instrumentation and even nanomaterials. Abovementioned advantages of KAR have thus made these tools amenable for high throughput [61] and led the kinase sensors to be cited as best biosensors in physiology [62].
Abbreviations
AKAR | Protein kinase A activity reporter |
AktAR | Akt activity reporter |
AMPK | AMP-activated protein kinase |
AMPKAR | AMP-activated protein kinase activity reporter |
ATM | Ataxia Telangiectasia mutated |
ATOMIC | ATM observation method in cell |
BKAR | B kinase activity reporter |
cAMP | Cyclic adenosine monophosphate |
Cdk1 | Cyclin dependent kinase 1 |
EAS | ERK activity sensors |
EGF | Epidermal growth factor |
EGFR | Epidermal growth factor receptor |
EKAR | Extracellular signal regulated kinase activity reporter |
Epac | Exchange proteins activated by cAMP |
Erk | Extracellular regulated kinase |
FAK | Focal adhesion kinase |
FRET | Förster Resonance Energy Transfer |
GPCR | G protein coupled receptor |
JNK | c-Jun N-terminal kinase |
JNKAR | JNK activity reporter |
KAR | Kinase activity reporters |
MAPK | Mitogen activated protein kinase |
MARK | Microtubule affinity regulating kinase |
MK2 | MAP kinase activated protein kinase 2 |
PAABD | Phosphoamino acid binding domain |
PICCHU | Phosphorylation indicator of CrkII chimeric unit |
PKA | Protein kinase A |
PKB | Protein kinase B |
PKC | Protein kinase C |
Plk | Polo-kinase |
RNAi | Ribonucleic acid interference |
RSK | p90 Ribosomal S6 kinase |
SAP3K | Stress-activated protein kinase |
References
- 1.
McKerrow JH, Caffrey C, Kelly B, Loke P, Sajid M. Proteases in parasitic diseases. Annual Review of Pathology. 2006; 1 :497-536 - 2.
Robert-Gangneux F, Creuzet C, Dupouy-Camet J, Roisin MP. Mitogen activated protein kinases (MAPK) and Toxoplasma gondii host cell invasion. Annales Pharmaceutiques Françaises. 2001;59 (5):297-304 - 3.
Soares-Silva M, Diniz FF, Gomes GN, Bahia D. The mitogen-activated protein kinase (MAPK) pathway: Role in immune evasion by Trypanosomatids. Frontiers in microbiology. 2016; 7 :183. DOI: 10.3389/fmicb.2016.00183 - 4.
Webb AJ, Kelwick R, Doenhoff MJ, Kylilis N, MacDonald JT, Wen KY, McKeown C, Baldwin G, Ellis T, Jensen K, Freemont PS. A protease-based biosensor for thedetection of schistosome cercariae. Scientific Reports. 2016; 6 :24725. DOI: 10.1038/srep24725 - 5.
Turner APF. Biosensors: Sense and sensibility. Chemical Society Reviews. 2013; 42 :3184 - 6.
Yoo EH, Lee SY. Glucose biosensors: An overview of use in clinical practice. Sensors (Basel). 2010; 10 (5):4558-4576. DOI: 10.3390/s100504558. Epub May 4, 2010. Review. PubMed PMID: 22399892; PubMed Central PMCID: PMC3292132 - 7.
Arshak K, Velusamy V, Korostynska O, Oliwa-Stasiak K, Adley C. Conducting polymers and their applications to biosensors: Emphasizing on foodborne pathogen detection. IEEE Sensors Journal. 2010; 9 (12):1942-1951 - 8.
Campbell K, Rawn DF, Niedzwiadek B, Elliott CT. Paralytic shellfish poisoning (PSP) toxin binders for optical biosensor technology: Problems and possibilities for the future: A review. Food Additives & Contaminants. Part A, Chemistry, Analysis, Control, Exposure & Risk Assessment. 2011; 28 (6):711-725. DOI: 10.1080/19440049.2010.531198 - 9.
Liu C, Li H, Jiang L, Luo X and Cai X. Electrochemical biosensors for the determination of glutamate pyravate transaminase and creatine kinase. International Journal of Nanoscience, 2006; 05 (06):865-870 - 10.
Herbst KJ, Allen MD, Zhang J. Luminescent kinase activity biosensors based on a versatile bimolecular switch. Journal of the American Chemical Society. 2011; 133 (15):5676-5679 - 11.
Van TN, Pellerano M, Lykaso S, Morris MC. Fluorescent protein biosensor for probing CDK/cyclin activity in vitro and in living cells. Chembiochem. 2014; 15 (15):2298-2305 - 12.
Yin H, Sun B, Dong L, Li B, Zhou Y, Ai S. A signal “on” photoelectrochemical biosensor for assay of protein kinase activity and its inhibitor based on graphite-like carbon nitride, Phos-tag and alkaline phosphatase. Biosensors & Bioelectronics. 2015; 64 :462-468 - 13.
Cui W, Parker LL. A time-resolved luminescence biosensor assay for anaplastic lymphoma kinase (ALK) activity. Chemical Communications. 2015; 51 (2):362-365 - 14.
Vidic J, Manzano M, Chang CM, Jaffrezic-Renault N. Advanced biosensors for detection of pathogens related to livestock and poultry. Veterinary Research. Feb 21, 2017; 48 (1):11. DOI: 10.1186/s13567-017-0418-5 - 15.
Vandame P, Spriet C, Trinel D, Gelaude A, Caillau K, Bompard C, Biondi E, Bodart JF. The spatio-temporal dynamics of PKA activity profile during mitosis and its correlation to chromosome segregation. Cell Cycle. 2014; 13 (20):3232-3240. DOI: 10.4161/15384101.2014.950907 - 16.
Vandame P, Sipieter F, Spriet C, Leray A, Vincent P, Trinel D, Bodart JF, Riquet FB, Héliot L. From FRET imaging to practical methodology for kinase activity sensing in living cells. Progress in Molecular Biology and Translational Science. 2013; 113 :145-216. DOI: 10.1016/B978-0-12-386932-6.00005-3 - 17.
Vandame P et al. Optimization of ERK activity biosensors for both ratiometric and lifetime FRET measurements. Sensors (Basel). 2013; 14 :1140-1115 - 18.
Ting AY, Kain KH, Klemke RL, Tsien RY. Genetically encoded fluorescent reporters of protein tyrosine kinase activities in living cells. Proceedings of the National Academy of Sciences of the United States of America. 2001; 98 (26):15003-15008 - 19.
Kurokawa K, Mochizuki N, Ohba Y, Mizuno H, Miyawaki A, Matsuda MA. Pair of fluorescent resonance energy transfer-based probes for tyrosine phosphorylation of the CrkII adaptor protein in vivo. The Journal of Biological Chemistry. 2001; 276 (33):31305-31310 - 20.
Gao X, Zhang J. Spatiotemporal analysis of differential Akt regulation in plasma membrane microdomains. Molecular Biology of the Cell. 2008; 19 (10):4366-4373. DOI: 10.1091/mbc.E08-05-0449 - 21.
Sato M, Umezawa Y. Imaging protein phosphorylation by fluorescence in single living cells. Methods. 2004; 32 (4):451-455 - 22.
Yoshizaki H, Aoki K, Nakamura T, Matsuda M. Regulation of RalA GTPase by phosphatidylinositol 3-kinase as visualized by FRET probes. Biochemical Society Transactions. 2006; 34 (Pt 5):851-854 - 23.
Kunkel MT, Ni Q, Tsien RY, Zhang J, Newton AC. Spatio-temporal dynamics of protein kinase B/Akt signaling revealed by a genetically encoded fluorescent reporter. The Journal of Biological Chemistry. 2005; 280 (7):5581-5587 - 24.
Calleja V, Alcor D, Laguerre M, Park J, Vojnovic B, Hemmings BA, Downward J, Parker PJ, Larijani B. Intramolecular and intermolecular interactions of protein kinase B define its activation in vivo. PLoS Biology. 2007; 5 (4):e95 - 25.
Ananthanarayanan B, Fosbrink M, Rahdar M, Zhang J. Live-cell molecular analysis of Akt activation reveals roles for activation loop phosphorylation. The Journal of Biological Chemistry. 2007; 282 (50):36634-36641 - 26.
Tsou P, Zheng B, Hsu CH, Sasaki AT, Cantley LC. A fluorescent reporter of AMPK activity and cellular energy stress. Cell Metabolism. 2011; 13 (4):476-486. DOI: 10.1016/j.cmet.2011.03.006 - 27.
Chu Y, Yao PY, Wang W, Wang D, Wang Z, Zhang L, Huang Y, Ke Y, Ding X, Yao X. Aurora B kinase activation requires survivin priming phosphorylation by PLK1. Journal of Molecular Cell Biology. 2011; 3 (4):260-267. DOI: 10.1093/jmcb/mjq037 - 28.
Johnson SA, You Z, Hunter T, Monitoring ATM. Kinase activity in living cells. DNA Repair (Amst). 2007; 6 (9):1277-1284 - 29.
Gavet O, Pines J. Activation of cyclin B1-Cdk1 synchronizes events in the nucleus and the cytoplasm at mitosis. The Journal of Cell Biology. 2010; 189 (2):247-259. DOI: 10.1083/jcb.200909144 - 30.
Offterdinger M, Georget V, Girod A, Bastiaens PI. Imaging phosphorylation dynamics of the epidermal growth factor receptor. The Journal of Biological Chemistry. 2004; 279 (35):36972-36981 - 31.
Harvey CD, Ehrhardt AG, Cellurale C, Zhong H, Yasuda R, Davis RJ, Svoboda K. A genetically encoded fluorescent sensor of ERK activity. Proceedings of the National Academy of Sciences of the United States of America. 2008; 105 (49):19264-19269. DOI: 10.1073/pnas.0804598105 - 32.
Green HM, Alberola-Ila J. Development of ERK activity sensor, an in vitro, FRET-based sensor of extracellular regulated kinase activity. BMC Chemical Biology. 2005; 5 :1 - 33.
Fujioka A, Terai K, Itoh RE, Aoki K, Nakamura T, Kuroda S, Nishida E, Matsuda M. Dynamics of the Ras/ERK MAPK cascade as monitored by fluorescent probes. Journal of Biological Chemistry. 2006; 281 (13):8917-8926 - 34.
Seong J, Ouyang M, Kim T, Sun J, Wen PC, Lu S, Zhuo Y, Llewellyn NM, Schlaepfer DD, Guan JL, Chien S, Wang Y. Detection of focal adhesion kinase activation at membrane microdomains by fluorescence resonance energy transfer. Nature Communications. 2011; 2 :406. DOI: 10.1038/ncomms1414 - 35.
Ding SY, Nkobena A, Kraft CA, Markwardt ML, Rizzo MA. Glucagon-like peptide 1 stimulates post-translational activation of glucokinase in pancreatic beta cells. The Journal of Biological Chemistry. 2011; 286 (19):16768-16774. DOI: 10.1074/jbc.M110.192799 - 36.
Lin CW, Ting AY. A genetically encoded fluorescent reporter of histone phosphorylation in living cells. Angewandte Chemie International Edition (in English). 2004; 43 (22):2940-2943 - 37.
Fosbrink M, Aye-Han NN, Cheong R, Levchenko A, Zhang J. Visualization of JNK activity dynamics with a genetically encoded fluorescent biosensor. Proceedings of the National Academy of Sciences of the United States of America. Mar 23, 2010; 107 (12):5459-5464. DOI: 10.1073/pnas.0909671107 - 38.
Neininger A, Thielemann H, Gaestel M. FRET-based detection of different conformations of MK2. EMBO Reports. 2001; 2 (8):703-708 - 39.
Timm T, von Kries JP, Li X, Zempel H, Mandelkow E, Mandelkow EM. Microtubule affinity regulating kinase activity in living neurons was examined by a genetically encoded fluorescence resonance energy transfer/fluorescence lifetime imaging-based biosensor: Inhibitors with therapeutic potential. The Journal of Biological Chemistry. 2011; 286 (48):41711-41722. DOI: 10.1074/jbc.M111.257865 - 40.
Macůrek L, Lindqvist A, Lim D, Lampson MA, Klompmaker R, Freire R, Clouin C, Taylor SS, Yaffe MB, Medema RH. Polo-like kinase-1 is activated by aurora a to promote checkpoint recovery. Nature. 2008; 455 (7209):119-123. DOI: 10.1038/nature07185 - 41.
Zhang L, Lee KC, Bhojani MS, Khan AP, Shilman A, Holland EC, Ross BD, Rehemtulla A. Molecular imaging of Akt kinase activity. Nature Medicine. 2007; 13 (9):1114-1119 - 42.
Nagai Y, Miyazaki M, Aoki R, Zama T, Inouye S, Hirose K, Iino M, Hagiwara MA. Fluorescent indicator for visualizing cAMP-induced phosphorylation in vivo. Nature Biotechnology. 2000; 18 (3):313-316 - 43.
Violin JD, Zhang J, Tsien RY, Newton ACA. Genetically encoded fluorescent reporter reveals oscillatory phosphorylation by protein kinase C. The Journal of Cell Biology. 2003; 161 (5):899-909 - 44.
Komatsu N, Aoki K, Yamada M, Yukinaga H, Fujita Y, Kamioka Y, Matsuda M. Development of an optimized backbone of FRET biosensors for kinases and GTPases. Molecular Biology of the Cell. 2011; 22 (23):4647-4656. DOI: 10.1091/mbc.E11-01-0072 - 45.
Tomida T, Takekawa M, O'Grady P, Saito H. Stimulus-specific distinctions in spatial and temporal dynamics of stress-activated protein kinase kinase kinases revealed by a fluorescence resonance energy transfer biosensor. Molecular and Cellular Biology. 2009; 29 (22):6117-6127. DOI: 10.1128/MCB.00571-09 - 46.
Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Research. 2003; 13 (11):2498-2504 - 47.
Krachler AM, Woolery AR, Orth K. Manipulation of kinase signaling by bacterial pathogens. Journal of Cell Biology. Dec 26, 2011; 195 (7):1083-1092. DOI: 10.1083/jcb.201107132 - 48.
Bodart JF, Chopra A, Liang X, Duesbery N, Anthrax MEK. cancer. Cell Cycle. 2002; 1 (1):10-15 - 49.
Duesbery NS, Vande Woude GF. Anthrax lethal factor causes proteolytic inactivation of mitogen-activated protein kinase kinase. Journal of Applied Microbiology. 1999; 87 (2):289-293 - 50.
Roach SK, Schorey JS. Differential regulation of the mitogen-activated protein kinases by pathogenic and nonpathogenic mycobacteria. Infection and Immunity. 2002; 70 (6):3040-3052 - 51.
Trosky JE, Li Y, Mukherjee S, Keitany G, Ball H, Orth K. VopA inhibits ATP binding by acetylating the catalytic loop of MAPK kinases. Journal of Biological Chemistry. 2007; 282 (47):34299-34305 - 52.
Cthuluunbaatar U, Roller R, Mohr I. Suppression of extracellular signal-regulated kinase activity in herpes simplex virus 1-infected cells by the Us3 protein kinase. Journal of Virology. 2012; 86 (15):7771-7776. DOI: 10.1128/JVI.00622-12 - 53.
Mukherjee S, Keitany G, Li Y, Wang Y, Ball HL, Goldsmith EJ, Orth K. Yersinia YopJ acetylates and inhibits kinase activation by blocking phosphorylation. Science. May 26, 2006; 312 (5777):1211-1214 - 54.
Kim Y, Lee C. Extracellular signal-regulated kinase (ERK) activation is required for porcine epidemic diarrhea virus replication. Virology. 2015; 484 :181-193. DOI: 10.1016/j.virol.2015.06.007 - 55.
Yang X, Gabuzda D. Regulation of human immunodeficiency virus type 1 infectivity by the ERK mitogen-activated protein kinase signaling pathway. Journal of Virology. 1999; 73 (4):3460-3466 - 56.
Tripathi S, Pohl MO, Zhou Y, Rodriguez-Frandsen A, Wang G, Stein DA, Moulton HM, DeJesus P, Che J, Mulder LC, Yángüez E, Andenmatten D, Pache L, Manicassamy B, Albrecht RA, Gonzalez MG, Nguyen Q, Brass A, Elledge S, White M, Shapira S, Hacohen N, Karlas A, Meyer TF, Shales M, Gatorano A, Johnson JR, Jang G, Johnson T, Verschueren E, Sanders D, Krogan N, Shaw M, König R, Stertz S, García-Sastre A, Chanda SK. Meta- and orthogonal integration of influenza “OMICs” data defines a role for UBR4 in virus budding. Cell Host & Microbe. 2015; 18 (6):723-735. DOI: 10.1016/j.chom.2015.11.002 - 57.
Pohl MO, von Recum-Knepper J, Rodriguez-Frandsen A, Lanz C, Yángüez E, Soonthornvacharin S, Wolff T, Chanda SK, Stertz S. Identification of Polo-like kinases as potential novel drug targets for influenza A virus. Scientific Reports 2017; 7 (1):8629. DOI: 10.1038/s41598-017-08942-7 - 58.
Pouvreau S. Spatiotemporal mapping of PKA activity using biosensors. Cell Cycle. 2015; 14 (4):471. DOI: 10.1080/15384101.2015.1006555 - 59.
Kunkel MT, Newton AC. Spatiotemporal dynamics of kinase Signaling visualized by targeted reporters. Current Protocols in Chemical Biology. 2009; 1 (1):17-18 - 60.
Gavet O, Pines J. Progressive activation of CyclinB1-Cdk1 coordinates entry to mitosis. Developmental Cell. 2010; 18 (4):533-543. DOI: 10.1016/j.devcel.2010.02.013 - 61.
Rogers MS, Cryan LM, Habeshian KA, Bazinet L, Caldwell TP, Ackroyd PC, Christensen KA. A FRET-based high throughput screening assay to identify inhibitors of anthrax protective antigen binding to capillary morphogenesis gene 2 protein. PLoS One. 2012; 7 (6):e39911. DOI: 10.1371/journal.pone.0039911 - 62.
Oldach L, Zhang J. Genetically encoded fluorescent biosensors for live-cell visualization of protein phosphorylation. Chemistry & Biology. 2014; 21 :186-197. DOI: 10.1016/j.chembiol.2013.12.012