1. Introduction
The zebrafish,
Forward genetics has been applied, successfully, using methods for large-scale mutagenesis and screening for altered phenotypes, resulting in the discovery of more than 2000 mutations that perturb the normal development of zebrafish7–9. In addition to these advantages, their embryonic developmental processes are easily observed in live because of transparent embryos. Methods for standard (non-targeting) germline transgenesis of zebrafish are established10,11, with several modifications for increasing their efficiency also reported12–16. One advantage of zebrafish transgenics having compared with the mammalian counterpart technology is that reproduction involves external fertilization and embryo development, eliminating the need for surgical intervention. Nowadays, the zebrafish are becoming a useful genetic model and starting to be employed in various researches such as infection desiease17, cancer research18, chemical genetic screening19, toxicology20, and proteome21. Some researchers noted on zebrafish as an
2. Omics research in zebrafish
Modern biomedical research greatly benefits from large-scale genome-sequencing projects ranging from studies of viruses, bacteria, and yeast to multicellular organisms. There are currently many organisms whose genomes are undergoing systematic sequencing by the next-generation sequencer. The zebrafish genome-sequencing project has been started in 2001 at the Sanger Institute, and all the genome sequence will become available near the future. Zebrafish microarrays have been produced that contain either DNA fragments derived from expressed sequence tag (EST) and cDNA libraries23, or from oligonucleotide libraries based on all the genes or transcriptional units predicted from bioinformatic analysis of the entire zebrafish genome. At present, 14,000-22,000 zebrafish genes are included on commercially available arrays (Agilent, Affymetrix, Compugen/Sigma-Aldrich, MWGBiotech and Qiagen/Operon) offering a standardized toolset for zebrafish transcriptional profiling. Recently, microRNA expression profiles have been characterized24 adding this new family of control factors for gene expression to the zebrafish toolbox repertoire.
An important challenge facing life sciences is to quantitatively describe the bewildering complexity of living organisms25, both to appreciate the elegance of nature and to make medically relevant predictions. Indeed, the scope of this complexity is vast. Even the function of a single mammalian cell typically involves coordinated activities among over 20,000 genes, 100,000 proteins26, and thousands of small-molecule lipids, carbohydrates and metabolites, each of which may be expressed at differing levels over time. These components interact in physical complexes and functional modules that operate at many levels of organization25. On the other hand, the classic method for reverse engineering a system is to poke a component with a stick and then to characterize the effect of the perturbation26. An alternative is to poke many components simultaneously and at random, repeating the experiment over many random sets of components27. Conveniently, the genetic variation that occurs naturally within a population is a source of multifactorial perturbation28,29. The use of natural genetic variation to probe the causal network that links genotype and phenotype has grown recently as large data sets have been generated for many experimental model species, crops and humans30-32.
Activity-based profiling (ABP) of proteomes is a powerful strategy for identifying the functional participants in complex biological processes33. The recent development of ABP, in which a chemical probe can be used to label and isolate an enzyme from a complex mixture, provides associated with a particular biological activity, thereby taking a step toward their functional identification34,35. Moreover, although transcriptional profiling assesses changes in the amount of RNA transcripts in response to a perturbation in environment of an organism, organ, or cell36, the abundance of the encoded protein cannot be predicted from the abundance of the transcript. Chromatographic, electrophoretic, and mass spectroscopic methods have also been developed to separate and quantify the amount of individual proteins in proteomes37. However, the absolute amount of a protein is also, at best, an indirect indicator of its function. The biological potency and activity of a protein cannot be predicted from its abundance; posttranslational modification (phosphorylation, acetylation, or glycosylation) often is the switch for turning the biological activity of a protein on or off. Therefore, protein microarray provides a new strategy for assessing the in vitro interactions of selected members if a proteome with selected ligands38. Yet this approach is limited by the availability of relevant proteins and ligands. The zebrafish is also suitable for chemical genomics, in part as a result of the permeability of its embryos to small molecules and consequent avoidance of external confounding maternal effects39. The use of zebrafish in high-throughput (HTP) screens of small molecules may allow time-series analyses that could be particularly useful for studying variable gene expression in early development and for toxicogenomic studies. On the other hand, genetic suppressor screens may identify second-site mutations that modify the effect of an existing genetic mutation40. In this case, zebrafish larvae are most commonly used for whole-organism screens. Adult zebrafish are popular, too, but their mobility and larger size make them less convenient to use. Embryos develop quickly: within three days of fertilization a zebrafish has a vascular system, a beating heart, the fish equivalent of a pancreas and kidneys. Even better, the larvae, as well as some mutant adult strains, are transparent, facilitating imaging41.
Metabolomics is an emerging tool that can be used to gain insights into cellular and physiological responses. In principle, the metabolome, particularly the unbiased metabolome, would be more diverse and dynamic in terms of chemical and physical properties of metabolites than the transcriptome and proteome. Therefore, the analysis of the metabolome would be suitable for describing the dynamic changes that occur during embryogenesis. However, there have been no reports on the practical application of metabolomics for determining the mechanisms underlying specific biological processes in higher organisms. Therefore, early embryogenesis was a suitable period for determining whether metabolomics can be used to understand complex biological processes. We first identified and profiled 63 types of metabolites from 24 developmental stages, i.e., from 1-cell stage to 48 h postfertilization (hpf), of zebrafish embryos by using gas chromatography/mass spectrometry (GC/MS) method42. Analysis of the GC/MS data with partial least square (PLS) regression clearly indicated a good correlation between metabolomes and developmental stages. Next, we developed a model for predicting embryonic stages on the basis of the metabolome. Thus, zebrafish model is a practical tool to analyze the biological processes in early development.
3. Studies on activity-based profiling with disease-associated proteins using zebrafish
Proteomic technology can be very useful in development of production processes for therapeutic proteins by use of genetically engineered animal cells43,44 or human stem cells45. However, the analysis of proteomes is significantly more challenging that of genomes. In particular, there is greater diversity in proteins at the amino acid composition level; the proteome is dynamic, both spatially and temporally; and a wide range of variation of protein concentrations exists within cells46. Moreover, proteomic analysis is substrate limited, because methods for protein amplification are not available. Therefore, two main areas of this field are ‘profiling’ and ‘functional’ proteomics. Profiling proteomics encompasses the description of the whole proteome of an organism (by analogy with the genome) and includes organelle mapping and differential measurement of expression levels between cells or conditions. Functional proteomics characterizes protein activity, interactions and the presence of posttranslational modifications.
We are focusing on posttranslational modifications in our laboratory and have recently reported protein
4. Recent genetic engineering in zebrafish
The transgenic fish technology is employed in diverse areas of biological researches including analysis of regulatory elements, gene over-expression, tracing of cellular lineages, mutagenesis and protein analysis. The method of gene transfer into vertebrate embryos is commonly performed by microinjection into embryo at the one cell stage. However, in the most of the mammalian’s cases, it is generally difficult to obtain the embryos at quite early stage, and more difficult to maintain externally those isolated embryos. In the case of zebrafish, a huge number of embryos at one cell stage are easily available at one time because eggs are external-fertilized and spawned hundreds of eggs weekly. In general, microinjection into zebrafish embryos is relatively easier than that of other fish because of their soft chorion. Therefore, it is easy to imagine that a large numbers of injections will be needed for developing protein expression in zebrafish. To improve performance of injection by hand, we are developing auto-injection machine for zebrafish eggs (Figure 2). This injection system can currently operate 100 pL per embryo level injection, and the injectioin speed is 20 eggs per minute.
Techniques for reverse genetic approaches in zebrafish are limited to mRNA knockdown strategies using modified antisense oligomers (morpholinos) 52 and TILLING for point mutations by detection of heterozygosity in a locus of interest, and subsequent sequencing, among a library of chemically mutagenized gametes. On the other hand, conventional gene targeting, a powerful technique for gene disruption in mouse embryonic stem cells53, often requires positive-negative selection with cytotoxic drugs54, which is inapplicable in the context of a vertebrate embryo. In 2008, the use of zinc-finger nucleases (ZFNs) for somatic and germline disruption of genes in zebrafish, in which targeted mutagenesis was previously intractable, have been repoted55,56. ZFNs induce a targeted double-strand break in the genome that is repaired to generate small insertions and deletions. Therefore, only co-injection of mRNAs encoding these ZFNs into one-cell-stage zebrafish embryos led to mutagenic lesions at the target site that were transmitted through the germ line with high frequency. In near future, the use of engineered ZFNs to introduce heritable mutations into a genome obviates the need for embryonic stem cell lines and should be applicable to most animal species for which early stage embryos are easily accessible.
5. Development of protein expression vectors in zebrafish
The plasmid DNA has been used for expression of exogenous gene in wide variety of animals. For the zebrafish, the pXeX vector might be first used for protein expression in zebrafish, which is originally used for protein expression in
We constructed the pZex vector derived from the pXI vector in our laboratory (Figure 3A). This vector included the promoter region of zebrafish he1 (hatching enzyme 1) gene and GFP is expressed in hatching gland cells during only early developmental stages up to 72 hrs post-fertilization (hpf) (Figure 3B). Furthermore, since tissue-specific and stage-specific protein expression by pZex can be possible in zebrafish embryos, even some apoptosis-related protein is able to express. Although one of the critical problems for protein expression in zebrafish embryos is expression efficiency, most target proteins were easily expressed by pZex in more than 30% of injected embryos. Furthermore, we constructed a pXI-EGFP-pZex-DsRed vector tandemly connected with both pXI-EGFP and pZex-DsRed, (Figure 3C). EGFP and DsRed can be successfully expressed in each promoter-dependent manner (Figure 3D). These constructs can be applied for the identification of embryos expressing target proteins. Thus, we can choose efficiently the embryos expressing the target protein only observed by monitoring fluorescence.
6. Zebrafish as a model for combinatorial bioengineering
In recent years, the importance of the target proteins with therapeutic potential and drug discovery is getting more and more increasing. For example, several monoclonal antibodies have already applied to human cancer therapy because of their minimum side effects and specificity to the target disease. For the purpose of developing the novel molecular target drugs, the spatiotemporal protein-protein interactions in normal or abnormal tissue has been attempted to analyze extensively. In addition, the effective production of such a functional mammalian protein in large scale and at low cost will be also demanded as spreading the use of these proteins in human therapy or researches like protein structure analysis for novel drug discovery.
Although expression and preparation of target proteins in large scale has been tried in bacterial cells, bacterial recombinant proteins often lost their native properties. It is due to the differences of protein synthesis system between eukaryotic cells and prokaryotic cells. That is, protein synthesis on endoplasmic reticulum (ER) follows by various posttranslational modifications such as glycosylation, phosphorylation, and N-terminus conjugation of several lipids in eukaryotic cells. Accordingly, such posttranslational modifications never occur in prokaryotic cells. On the other hand, the posttranslational modifications are often critical for the correct folding or functions of mammalian proteins. For this reason, the mammalian proteins for pharmaceutical agent or protein structure analysis has been produced by eukaryotic cells or extracted from mammalian tissues. However, these methods are not efficient and often less expensive. Therefore, several alternative ways to produce mammalian proteins more efficient than using cell cultures has been studied and one successful example are to secrete the protein in the milk of transgenic mammals, like a pig59,60. However, maintenance of such a large mammal needs large spaces and high cost. In addition, it is originally unable to produce and keep various kinds of transgenic mammals.
The zebrafish are easy to maintain large population in a small space, lay thousands of eggs weekly, and can generate and reproduce transgenic fishes easily. Therefore, we introduced and described the advantage of zebrafish researches. In order to apply this tool to combinatorial bioengineering in the post-genomic era, we attempt to use the ability and
potentiality of zebrafish “embryoarray” as protein sources (Figure 4). In fact, there are many and various kinds of libraries for not only genes but also natural or artificial compounds. For instance, if complete cDNAs encoding a total of human genes were able to transfer into the zebrafish, human protein library would be obtained and could be stably expressed in all generations of transgenic zebrafish with their native properties. Thus, we believe that transgenic zebrafish have brought us remarkable advances in many areas of biological researches. Therefore, we would like to emphasize the additional advantages that the target proteins expressed in zebrafish would have a proper conformation, activity and posttranslational modifications. The effective production of such functional mammalian proteins will become gradually important as increasing attention to developing pharmaceutical proteins.
7. Zebrafish and its potential application on drug discovery
The low-cost and high clutch-size zebrafish is, at the embryonal and larval stages, optically transparent, permitting visualization of pathogens and lesions in real time61, as well as offering exciting possibilities for high-throughput imaging62. Zebrafish are also amenable to forward genetic screening, or reverse genetics techniques such as injection of morpholinos (inhibitory of mRNA translation)63,64. More recently, it is clear that much can be learned about Tuberculosis (TB) from the study of
Acknowledgments
This work was supported by grants from the Wakayama Prefecture Collaboration of Regional Entities for the Advancement of Technological Excellence (Y.T) and SENTAN (Y.T), Japan Science and the Technology Agency and the New Energy and Industrial Technology Development Organization (02A09003d) (Y.T).
References
- 1.
Schilling T. F. Webb J. 2007 308B:515 522 . - 2.
Alestrom P. Holter J. L. Nourizadeh-Lillabadi R. 200624 24 15 21 . - 3.
Streisinger G. Walker C. Dower N. Knauber D. Singer F. 1981 291 293 296 . - 4.
Kimmel CB. Genetics and early development of zebrafish. Trends Genet19895 5:283 288 . - 5.
Nusslein-Volhard C. 1994 266 572 574 . - 6.
Sprague J. Clements D. Conlin T. Edwards P. Frazer K. Schaper K. Segerdell E. Song P. Sprunger B. Westerfield M. 2003 31 1 241 243 . - 7.
Currie PD. Zebrafish genetics: mutant cornucopia. Curr Biol 19966 6 1548 1552 . - 8.
Holder N. Mc Mahon A. Genes from. zebrafish Nature. 1996 384 515 516 . - 9.
van Eeden F. J. Granato M. Odenthal J. Haffter P. 199960 60 21 41 . - 10.
Stuart G. W. Mc Murray J. V. Westerfield M. Replication integration. stable germline. transmission of. foreign sequences. injected into. early zebrafish. embryos 198810 103 2 403 412 . - 11.
Collas P. Aleström P. Nuclear localization. signals a. driving force. for nuclear. transport of. plasmid D. N. A. in zebrafish. 19977 75 5 633 640 . - 12.
Collas P. Alestrom P. 19987 7 303 309 . - 13.
Liang M. R. Aleström P. Collas P. Glowing zebrafish. single luciferase. transgene integration. transmission expression promoted. by nuclear. localization signals. 20005 55 1 8 13 . - 14.
Thermes V. Grabher C. Ristoratore F. Bourrat F. Choulika A. Wittbrodt J. Joly-Sce J. S. I. meganuclease I. mediates highly. efficient transgenesis. in fish. 200211 118 (1-2): 91-98. - 15.
Davidson A. E. Balciunas D. Mohn D. Shaffer J. Hermanson S. Sivasubbu S. Cliff M. P. Hackett P. B. Ekker S. C. 2 263 191 202 2003 - 16.
Shin J. Park H. C. Topczewska J. M. Mawdsley D. J. Appel B. 2 BAC transgenics. Methods Cell Sci 2003; 25 (1-2): 7-14. - 17.
Carvalho R. de Sonneville J. Stockhammer O. W. Savage N. D. Veneman W. J. Ottenhoff T. H. Dirks R. P. Meijer A. H. Spaink H. P. A. high-throughput screen. for tuberculosis. progression P. Lo 2011 6 (2): e16779. - 18.
White R. M. Cech J. Ratanasirintrawoot S. Lin C. Y. Rahl P. B. Burke C. J. Langdon E. Tomlinson M. L. Mosher J. Kaufman C. Chen F. Long H. K. Kramer M. Datta S. Neuberg D. Granter S. Young R. A. Morrison S. Wheeler G. N. Zon L. I. D. H. O. D. H. modulates transcriptional. elongation in. the neural. crest melanoma 201147 471 7339 518 522 . - 19.
Kaufman C. K. White R. M. Zon L. 2009 4 10 1422 1432 . - 20.
Weigta S. Hueblera N. Streckerb R. Braunbeckb T. Broscharda T. H. Zebrafish . Danio rerio. as embryos a. model for. testing proteratogens. 281 25 36 2011 - 21.
Link V. Shevchenko A. CP Heisenberg 2006 - 22.
Hwang G. Müller M. Rahman Darren. W. Williams Paul. J. Murdock K. Pasi J. Goldspink G. Farahmand H. Maclean N. as Fish Bioreactors. Transgene Expression. of Human. Coagulation Factor. V. I. I. in Fish. Embryos 20046 6 485 492 . - 23.
Handley-Goldstone HM, Grow MW, Stegeman JJ. Cardiovascular gene expression profiles of dioxin exposure in zebrafish embryos. Toxicol Sci200585 85 683 693 . - 24.
Wienholds E. Kloosterman W. P. Miska E. Alvarez-Saavedra E. Berezikov E. de Bruijn E. Horvitz H. R. Kauppinen S. Plasterk R. H. Micro R. N. A. expression in. zebrafish embryonic. development 2005 309 310 311 . - 25.
Stelling J. Sauer U. Szallasi Z. Doyle F. J. I. I. I. Doyle J. 118 675 685 2004 - 26.
Koonin EV, Wolf YI, Karev G.P. The structure of the protein universe and genome evolution. Nature2002 420 218 223 . - 27.
Rockman MV. Reverse engineering the genotype-phenotype map with natural genetic variation. Nature2008 456 738 744 . - 28.
Jansen RC, Nap JP. Genetical genomics: the added value from segregation. Trends Genet200117 17 388 391 . - 29.
Jansen RC. Studying complex biological systems using multifactorial perturbation. Nature Rev Genet4 145 151 2003 - 30.
Brem R. B. Yvert G. Clinton R. Kruglyak L. 296 752 755 2002 - 31.
EE Schadt Monks. S. A. Drake T. A. Lusis A. J. Che Colinayo N. Ruff V. Milligan T. G. Lamb S. B. Cavet J. R. Linsley G. Mao P. S. Stoughton M. Friend R. B. S. H. 2003 422 297 302 . - 32.
Rockman M. V. Kruglyak L. 20067 7: 862-872 (2006). - 33.
Gerlt JA. “Fishing” for the functional proteome. Nat Biotechnol200220 20 786 787 . - 34.
Cravatt BF, Sorensen EJ. Chemical strategies for the global analysis of protein function. Curr Opin Chem Biol20004 4 663 668 . - 35.
Greenbaum D. Medzihradszky K. F. Burlingame A. Bogyo M. 20007 7 569 581 . - 36.
Schena M. Shalon D. Davis R. W. Brown P. O. 1995 270 467 470 . - 37.
Aebersold R. Goodlett D. R. 2001 101 269 295 . - 38.
Mac Beath. G. Schreiber S. L. 2000 289 1760 1763 . - 39.
Pichler F. B. Laurenson S. Williams L. C. Dodd A. Copp B. R. Love D. 200321 21 879 883 . - 40.
Peterson RT, Shaw SY, Peterson TA, Milan DJ, Zhong TP, Schreiber SL, MacRae CA, Fishman MC. Chemical suppression of a genetic mutation in a zebrafish model of aortic coarctation. Nat Biotechnol200422 22 595 599 . - 41.
Baker M. Screening the. age of. fishes 2011 8 1 47 51 . - 42.
Hayashi S. Akiyama S. Tamaru Y. Takeda Y. Fujiwara T. Inoue K. Kobayashi A. Maegawa S. Fukusaki E. A. novel application. of metabolomics. in vertebrate. development 200938 386 1 268 272 . - 43.
Gupta P. Lee K. H. 200725 25 324 330 . - 44.
Al-Fageeh MB, Marchant RJ, Carden M., Smales CM. The cold-shock response in cultured mammalian cells: Harnessing the response for the improvement of recombinant protein production. Biotech Bioeng2005 93 829 835 . - 45.
Li Y. Powell S. Brunette E. Lebkowski J. Mandalam R. 200591 91 688 698 . - 46.
Choudhary J. Grant S. G. N. 20047 7 440 445 . - 47.
Avsar-Ban E. Ishikawa H. Manya H. Watanabe M. Akiyama S. Miyake H. Endo T. Tamaru Y. 20102 20 9 1089 1102 . - 48.
Manya H. Chiba A. Yoshida A. Wang X. Chiba Y. Jigami Y. Margolis R. U. Endo T. 1 mammalian protein O-mannosyltransferase activity: coexpression of POMT1 and POMT2 required for enzymatic activity. Proc Natl Acad Sci USA 2004;101 2 500 505 . - 49.
Beltran-Valero de Bernabe. D. Currier S. Steinbrecher A. Celli J. van Beusekom E. van der Zwaag B. Kayserili H. Merlini L. Chitayat D. Dobyns W. B. Cormand B. Lehesjoki A. E. Cruces J. Voit T. CA Walsh van Bokhoven. H. Brunner H. G. 1 give rise to the severe neuronal migration disorder Walker-Warburg syndrome. Am J Hum Genet. 2002;71 5 1033 1043 . - 50.
van Reeuwijk J. Janssen M. van den Elzen. C. Beltran-Valero de Bernabe. D. Sabatelli P. Merlini L. Boon M. Sche"er H. Brockington M. Muntoni F. MA Huynen Verrips. A. CA Walsh Barth. P. G. Brunner H. G. van Bokhoven 2 POMT2 mutations cause α-dystroglycan hypoglycosylation and Walker-Warburg syndrome. J Med Genet. 2005;42 12 907 912 . - 51.
Kawahara G. Karpf J. A. Myers J. A. MS Alexander Guyon. J. R. Kunkel L. M. 201110 108 13 5331 5336 . - 52.
Nasevicius A. Ekker S. C. 200026 26 216 220 . - 53.
Thomas KR, Folger KR, Capecchi MR. High frequency targeting of genes to specific sites in the mammalian genome. Cell198644 44 419 428 . - 54.
Sedivy JM, Joyner AL. Gene Targeting. (Oxford University Press, Oxford,1992 - 55.
Meng X. Noyes M. B. Zhu L. J. Lawson N. D. Wolfe S. A. 26 695 701 2008 - 56.
Doyon Y. Mc Cammon J. M. Miller J. C. Faraji F. Ngo C. Katibah G. E. Amora R. Hocking T. D. Zhang L. Rebar E. J. Gregory P. D. Urnov F. D. Amacher S. L. 200826 26 702 708 . - 57.
Johnson AD, Krieg PA. pXeX, a vector for efficient expression of cloned sequences in Xenopus embryos. 1994 147 223 226 . - 58.
Amsterdam A. Lin S. Hopkins N. 1995 171 123 129 . - 59.
Paleyanda R. K. Velander W. H. Lee T. K. Scandella D. H. Gwazdauskas F. C. Knight J. W. Hoyer L. W. Drohan W. N. Lubon H. 199715 15 971 975 . - 60.
Van Cott K. E. Lubon H. Gwazdauskas F. C. Knight J. Drohan W. N. Velander W. H. 200110 10 43 51 . - 61.
Lesley R. Ramakrishnan L. 20081 11 3 277 283 . - 62.
Pardo-Martin C. Chang T. Y. Koo B. K. Gilleland C. L. Wasserman S. C. Yanik M. F. 2010 7 8 634 636 . - 63.
Amsterdam A. Hopkins N. 20062 22 (9):473 478 . - 64.
Nasevicius A. Ekker S. C. 20002 26 2 216 220 . - 65.
Carvalho R. de Sonneville J. Stockhammer O. W. Savage N. D. Veneman W. J. Ottenhoff T. H. Dirks R. P. Meijer A. H. Spaink H. P. A. high-throughput screen. for tuberculosis. progression P. Lo 2011 6 (2): e16779.