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ANCILLARY SCIENTISTS SYMPOSIUM |
* Department of Animal Science, North Carolina State University, Raleigh 27695-7621
2 Corresponding author: hc_liu{at}ncsu.edu
| ABSTRACT |
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Key Words: proteomics systems biology infectious disease
| INTRODUCTION |
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The yeast 2-hybrid system was originally developed as a genetic means for identifying and characterizing the interaction between 2 proteins. The yeast 2-hybrid system also provides a powerful and complementary approach to classical biochemical methods, such as coimmunoprecipitation and electrophoretic mobility shift analysis, for characterizing protein-protein interactions (Fields and Song, 1989). Today the yeast 2-hybrid system has become a popular method for global screening of protein interactions. The simplified concept of the yeast 2-hybrid system is based upon the utilization of the yeast protein GAL4 transcription factor, which functions to regulate the expression of galactolytic enzymes and consists of 2 distinct and independent functional domains. The first domain binds to a specific DNA sequence near the promoter from which the galactolytic enzymes are expressed, whereas the second domain functions to activate transcription by physically interacting with RNA polymerase. In the yeast 2-hybrid system, the "bait" protein is fused to the DNA-binding domain and the "prey" proteins are fused to the activation domain. If the bait and a prey interact, the 2 domains are brought together and reconstitute a functional GAL4 molecule, which can then activate expression of the reporter gene, which is often ß-galactosidase (reviewed by Miller and Stagliar, 2004). Yeast cells then grown in the presence of the chromogenic substrate X-gal will turn blue due to the hydrolysis of the X-gal by the newly expressed ß-galactosidase. Today, there are many variations of the yeast 2-hybrid system in use.
Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) has become a popular and quite powerful way to characterize whole protein extracts of a particular sample. In 2D-PAGE, proteins are first applied to the end of a rod or strip of a polyacrylamide gel containing a pH gradient. An electric current is then applied to the gel and proteins are then separated in the first dimension by their charge, which is dependent on their isoelectric points. As a given protein migrates through the gel toward an electrode, the protein will enter a region of the pH gradient that equals its isoelectric point, and the protein will then assume a net charge of zero and will cease to migrate any further along the gel. Proteins in the second dimension are separated according to their mass. Separation is achieved by placing the gel rod containing the proteins separated in the first dimension onto a second polyacrylamide gel containing the anionic detergent sodium dodecyl sulfate. In the presence of the detergent, all of the proteins assume an equal charge to mass ratio and are then electrophoretically separated as proteins of higher masses migrate toward the anode more slowly through the gel than do proteins of lower masses. The gel is then stained so that the proteins can be visualized, and the stained gel reveals a map on which the position of each protein is determined by coordinates consisting of pH on the first axis and mass on the second axis (reviewed by Wittmann-Liebold et al., 2006). Two-dimensional gel electrophoresis is often used in conjunction with mass spectrometry to identify specific proteins of interest.
Mass spectrometry was originally developed in the early 1900s as a tool to study characteristics, such as mass and charge, of compounds. It is most often used to identify an unknown compound based on these characteristics. In mass spectrometry a sample is exposed to an ionizing source, such as a photon beam, which ionizes the sample. These ions are carried into a mass analyzer and are separated based on their mass-to-charge ratio. This separation leads to the production of a mass spectrum (the mass to charge ratios of all of the ions that compose the sample), which can then be used to identify the sample. Mass spectrometry is a vital component of proteomic analysis because it allows for the identification of proteins. High performance liquid chromatography is often used prior to mass spectrometry analyses, such as electrospray ionization mass spectrometry (ESI-MS), to separate peptides and proteins (reviewed by Listgarten and Emili, 2005). There are 2 phases in HPLC, a mobile (liquid) phase and a stationary phase. The liquid phase (contains the peptides) is forcibly passed through a column (stationary phase) containing small uniform particles. Separation is controlled by the interaction of the particles with the solutes present in the sample, and the peptides are separated based on their chemical properties. Once peptide separation is achieved, mass spectrometry is used to identify the peptides. Liquid chromatography is also often used in conjunction with tandem mass spectrometry (LC-MS/MS). In tandem mass spectrometry there is an initial scan of all of the ions in the sample followed by another mass spectrometry scan in which only certain ions are analyzed and used in determining the peptide sequence (Listgarten and Emili, 2005).
In proteomics one of the most frequently used mass spectrometry methods is matrix-assisted laser desorption/ionization (MALDI) coupled with time of flight (TOF). This mass spectrometry approach is often used in conjunction with 2D-PAGE. Interesting proteins identified by 2D-PAGE are excised from the gel and trypsin digested to create small peptide fragments. In MALDI the protein sample is dissolved on a solid matrix, and a laser light is directed onto the matrix, which absorbs the energy and vaporizes so the matrix and the sample are now ionized and in a gas phase (reviewed by Zaluzec et al., 1995). When used with TOF, the ionized sample is then passed into a TOF analyzer where smaller ions will move faster and reach the detector first. The mass spectrum produced can then be used to identify the peptides. These peptides are then searched against protein databases to identify the parent protein from which they originally came.
Another mass spectrometry technique that is often used in proteomics is ESI-MS. In ESI-MS a liquid sample is sprayed from a capillary in a strong electric field, which creates a spray of highly charged droplets (reviewed by Smith et al., 2006). These charged droplets are attracted toward the mass analyzer. As they move toward the mass analyzer, gas, heat, or both is applied to the droplets, causing them to decrease in diameter. This decreased diameter brings the ions closer together creating repulsion forces that exceed the surface tension forces, which causes ions to leave the droplet. The ions now enter the mass analyzer, and their mass to charges ratios can be determined.
| BENEFITS AND LIMITATIONS OF PROTEOMICS |
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Though proteomics can give much information about protein expression, there are some limitations. For example, one of the most limiting factors in the use of proteomics is the lack of comprehensive databases (Han et al., 2005; Kuo et al., 2005; Lam et al., 2006). Characterizations of peptide sequences determined from mass spectrometry spectra are only useful if good protein databases exist for comparison. Another limitation in regard to mass spectrometry is the inability to identify a protein due to the small amount of starting material (Lam et al., 2006). Sometimes with mass spectrometry, ambiguous results make it impossible to definitively identify a protein (Han et al., 2005). Another large limitation found in proteomics is that the proteins identified depend on how the sample was solubilized. Different solubilization procedures could lead to different proteome maps of the same sample (Stagsted et al., 2004). So depending upon how protein solubilization was preformed, critical proteins could be lost. In regard to 2D-PAGE, often there is a lack of comparative reproducibility between gels due to operator and reagent variation. Despite these limitations proteomics has and will continue to be a good source of data for systems biology.
| SYSTEMS BIOLOGY |
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| CHICKEN AS A MODEL ORGANISM |
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| PROTEOMICS AND THE EGG |
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Egg production is a large economic part of the poultry industry worldwide. Understanding the processes and pathways that control egg production could greatly benefit this industry. In the chicken, hormones secreted by the hypothalamus control reproduction and therefore control egg production (Kuo et al., 2005). In their work, Kuo et al. used a proteomics approach to study and compare hypothalamic proteins in high-egg-producing birds vs. low-egg-producing birds in an attempt to discover new markers for selection of high egg production. Hypothalamic proteins from 2 strains of birds (originally from the same population) that differ in egg production rates were analyzed by 2D-PAGE and by HPLC and nano-ESI-MS. After comparing protein expression between the strains prior to and during egg production, 8 protein spots with differential expression were identified. Six of these spots were able to be identified by LC-MS/MS. One of the proteins in these spots was identified as HNRPH3, which is a member of a group of nuclear ribonucleoproteins that regulate gene expression at the mRNA level by transport, stability, and editing of mRNA (Kuo et al., 2005). The HNRPH3 was found to have a higher expression level in the hypothalamus of high egg production birds than low-egg-producing birds. It was thought perhaps HNRPH3 contributes to higher stability and expression of gonadal hormone mRNA in the hypothalamus, which, in turn, increases egg production. Using proteomics this study was able to identify a potential marker for high egg production in poultry.
| PROTEOME OF GERM CELLS |
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| PROTEOMICS AND FACIAL DEVELOPMENT |
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| PROTEOMICS AND THE EYE |
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Another study used the chicken as a model to study the lens crystallins proteome (Wilmarth et al., 2004). It is known that the lens in vertebrates is mainly made up of crystallins. Proteomic tools were used to study the different isoforms of the crystallin proteins in the chicken eye. After 2D-PAGE and MS/MS analysis it was found that there are 2 isoforms of
crystallin (
A and
B), as well as a phosphorylated isoform of
B and 4 isoforms of ß crystallin, 3 phosphorylated isoforms (ß A1, ß A2, ß B1), and 1 isoform of ß B3 (Wilmarth et al., 2004). The DNA sequence analysis revealed that these isoforms arise from alternative splicing and posttranslational modifications such as acetylation and phosphorylation.
| PROTEOMICS AND MUSCLE |
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Another study used 2D-PAGE and MALDI-TOF mass spectrometry in concordance with an immunologic approach to look at oxidized proteins in the chicken pectoralis muscle (Stagsted et al., 2004). This knowledge is useful because understanding and controlling protein oxidation in muscle tissue could lead to better meat quality. In this work, antibodies specific for carbonyl groups and 3-nitrotyrosines (specific for oxidized proteins) were used to detect oxidized proteins in both 1D- and 2D-PAGE. Identified oxidized proteins were then further analyzed by MALDI-TOF, which revealed that the oxidized proteins were
-enolase, actin, heat shock protein 70, and creatine kinase. Alphaenolase was abundantly expressed in the pectoralis and thigh muscles and was also extensively oxidized in both. This study identified the oxidation of enolase as a possible marker of the antioxidative status of muscle.
| PROTEOMICS AND THE AVIAN IMMUNE SYSTEM |
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To create a functional model of the bursa of Fabricius, a study that used differential detergent fractionation-multidimensional protein identification technology was used to identify almost 6,000 proteins expressed in the bursa (McCarthy et al., 2006). Differential detergent fractionation uses a series of detergents to separate cytosolic, membrane, and nuclear proteins. By superimposing these proteins over previously characterized mammalian pathways, putative pathways in the chicken were determined. These pathways included those involved in programmed cell death (apoptosis) and cell proliferation and differentiation.
Another area where proteomics has been useful is in the study of antimicrobial substances. A study of antimicrobial proteins present in the chicken reproductive system discovered 2 proteins with antimicrobial activity in the ovary and oviduct (Silphaduang et al., 2006). Isolation and partial sequencing of 2 peptides by tandem nanoelectrospray mass spectrometry revealed that histones H1 and H2B were the antimicrobial proteins. In different study of antimicrobial proteins from Martín-Platero et al. (2006), the uropygial gland of birds is a preen gland that produces a hydrophobic fatty acid secretion. A bacterium, Enterococcus faecalis, has been isolated from the uropygial gland and has been shown to have antimicrobial properties. Two antimicrobial peptides from E. faecalis were isolated and subjected to MALDI/TOF analysis. The analysis revealed that both peptides had a molecular mass of ~5.2 kDa and were types of bacteriocins/enterions. Because this bacterium was isolated from nesting mothers and chicks, it is speculated this bacteria helps protect the mother and chicks during the nesting period from microbial infections.
| PROTEOMICS AND AVIAN PARASITES |
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| PROTEOMICS AND AVIAN VIRUSES |
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Infectious bursa disease virus (IBDV) is a member of the birnaviridae family. The virus consists of a dsRNA 2-segment genome and is nonenveloped. Infection with IBDV serotype I results in immunosuppression due to the destruction of B-lymphoid cells and thus represents a major problem for the poultry industry. This virus encodes 5 proteins, 3 nonstructural and 2 structural. The VP1 is the RNA-dependent RNA polymerase, VP2 is structural and makes up the outer layer of the virion, VP3 makes up the inner layer of the virion, VP4 is a viral protease, and VP5 is a nonstructural protein of unknown function, although it is not needed for viral replication. A yeast 2-hybrid screen to study interactions among the viral proteins revealed that with the exception of VP1, all of the IBSV proteins strongly interact with themselves. The VP1 was found to weakly interact with itself. It was also discovered that VP1 and VP3 interact (Tacken et al., 2000, 2003). To determine which domains are involved in these interactions, 5 deletion mutations were created for each protein and assayed by yeast 2-hybrid (Tacken et al., 2003). For VP2 all mutants showed interactions although in varying degrees, indicating that this protein interacts with itself at more than 1 contact site. For VP3, deletion mutants revealed that it interacts with itself at the N-terminal domain and with VP1 at the C-terminal domain. Further deletions revealed that residues 33129 in the N-terminal domain are involved in VP3-VP3 interactions. The viral protease VP4 proved to be very sensitive with none of the mutations exhibiting interactions. Finally, for VP5 only 1 mutation in the C-terminal domain failed to show self-interaction. Further analysis revealed that residues 7390 are required for VP5-VP5 interactions, whereas the flanking domains enhance this interaction. The RNase treatments and RT-PCR revealed that VP3 also interacts with both dsRNA segments of the IBDV genome (Tacken et al., 2002).
Mareks disease virus (MDV) is a herpesvirus that induces Mareks disease, which is a lymphoproliferative disease in chickens. Mareks disease is detrimental to the poultry industry resulting in the loss of millions of dollars worldwide. As stated earlier, certain genes, such as MHC haplotypes, have been associated with susceptibility and resistance to MDV. However, susceptibility and resistance to MDV are complex and are governed by many different genes as well as environmental factors. It was found that an infectious clone of MDV, RM1, had lost its oncogenicity and that there was an insertion of a LTR upstream of the MDV SORF2 gene of this clone (Witter et al., 1997). A yeast 2-hybrid screen using a splenic cDNA library and SORF2 revealed an interaction between SORF2 and growth hormone (Liu et al., 2001). This interaction was confirmed by a coimmunoprecipitation assay, and it was also demonstrated via indirect immunoflourescence that SORF2 and growth hormone could be coexpressed in vivo. A genetic study further suggested that growth hormone could contribute to Mareks disease resistance.
Like other herpes viruses, MDV has a lytic and a latent phase of infection. The switch from the lytic to the latent stage and vice versa is poorly understood, so proteomic profiles of cells lytically infected with MDV and cells in which MDV is latent could reveal what proteins are involved in this switch (Liu et al., 2006). A proteomic profile of MDV lytically infected chicken embryo fibro-blast cells using strong cation exchange chromatography and microcapillary reversed-phase liquid chromatography-tandem mass spectrometry identified 82 expressed MDV proteins, covering almost 80% of MDV proteins. The most frequently sequenced proteins included those involved in DNA replication and capsid formation, which would be expected during productive infection. A proteomic profile of latently infected cells could reveal differences in proteins expressed during both stages.
In addition to yeast 2-hybrid, other methods have been utilized in the study of protein-protein interactions in avian infectious diseases. For example, Chai and Bates (2006) recently used an alternative approach to identify the host receptor of avian leukosis virus subgroup J, which is a retrovirus that induces myeloid leukosis. These investigators identified the receptor by first fusing the surface subunit domain of the viral envelope glycoprotein to the Fc region of rabbit IgG. This fusion protein was then biotinylated and used to precipitate permissive cell surface proteins that interact with the envelope glycoprotein. After SDS-PAGE analysis the interacting proteins were in gel trypsin digested, sequenced via mass spectrometry, and a potential receptor for avian leukosis virus subgroup J, NHE1, was identified.
| CONCLUDING REMARKS |
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| FOOTNOTES |
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Received for publication February 6, 2007. Accepted for publication February 10, 2007.
| REFERENCES |
|---|
|
|
|---|
Belli, S. I., M. Lee, P. Thebo, M. G. Wallach, B. Schwartsburd, and N. C. Smith. 2002. Biochemical characterisation of the 56 and 82 kDa immunodominant gametocyte antigens from Eimeria maxima. Int. J. Parasitol. 32:805816.[ISI][Medline]
Brown, W. R. A., S. J. Hubbard, C. Tickle, and S. A. Wilson. 2003. The chicken as a model for large-scale analysis of vertebrate gene function. Nature Reviews 4:8798.[Medline]
Chai, N., and P. Bates. 2006. Na+/H+ exchanger type 1 is a receptor for pathogenic subgroup J avian leukosis virus. Proc. Natl. Acad. Sci. USA 103:55315536.
Cumberbatch, J. A., D. Brewer, I. Vidavsky, and S. Sharif. 2006. Chicken major histocompatibility complex class II molecules of the B19 haplotype present self and foreign peptides. Anim. Genet. 37:393396.[ISI][Medline]
Doherty, M. K., L. McLean, J. R. Hayter, J. M. Pratt, D. H. L. Robertson, A. El-Shafei, S. J. Gaskell, and R. J. Beyon. 2004. The proteome of chicken skeletal muscle: Changes in soluble protein expression during growth in a layer strain. Proteomics 4:20822093.[ISI][Medline]
Drake V. J., S. L. Koprowski, J. W. Lough, and S. M. Smith. 2005. Gastrulating chick embryo as a model for evaluating teratogenicity: A comparison of three approaches. Birth Defects Res. A Clin. Mol. Teratol. 76(1):6671.[ISI]
Fields, S., and O. Song. 1989. A novel genetic system to detect protein-protein interactions. Nature 340:245246.[Medline]
Greger, J. G., R. A. Katz, A. M. Ishov, G. G. Maul, and A. M. Skalka. 2005. The cellular protein Daxx interacts with avian sarcoma virus integrase and viral DNA to repress viral transcription. J. Virol. 79:46104618.
Guérin-Dubiard, C., M. Pasco, D. Mollé, C. Désert, T. Croguennec, and F. Nau. 2006. Proteomic analysis of hen egg white. J. Agric. Food Chem. 54:39013910.[ISI][Medline]
Haeri, M., L. R. Read, B. N. Wilkie, and S. Sharif. 2005. Identification of peptides associated with chicken major histocompatibility complex class II molecules of B21 and B19 haplotypes. Immunogenetics 56:854859.[ISI][Medline]
Han, B. K., J. N. Kim, J. H. Shin, J. K. Kim, D. H. Jo, H. Kim, and J. Y. Han. 2005. Proteome analysis of chicken embryonic gonads: Identification of major proteins from cultured gonadal primordial germ cells. Mol. Reprod. Dev. 72:521529.[ISI][Medline]
Kuo, Y. M., Y. S. Shiue, C. F. Chen, P. C. Tang, and Y. P. Lee. 2005. Proteomic analysis of hypothalamic proteins of high and low egg production strains of chickens. Theriogenology 64:14901502.[ISI][Medline]
Lam, T. C., K. K. Li, S. C. L. Lo, J. A. Guggenheim, and C. H. To. 2006. A chick retinal proteome database and differential retinal protein expressions during early ocular development. J. Proteome Res. 5:771784.[ISI][Medline]
Listgarten, J., and A. Emili. 2005. Statistical and computational methods for comparative proteomic profiling using liquid chromatography-tandem mass spectrometry. Mol. Cell. Proteomics 4:419434.
Liu, H. C., H. J. Kung, J. E. Fulton, R. W. Morgan, and H. H. Cheng. 2001. Growth hormone interacts with the Mareks disease virus SORF2 protein and is associated with disease resistance on chicken. Proc. Natl. Acad. Sci. USA 98:92039208.
Liu, H. C. S., E. J. Soderblom, and M. B. Goshe. 2006. A mass spectrometry-based proteomic approach to study Mareks disease virus gene expression. J. Virol. Methods 135:6675.[ISI][Medline]
Mangum, J. E., P. G. Farlie, and M. J. Hubbard. 2005. Proteomic profiling of facial development in chick embryos. Proteomics 5:25422550.[ISI][Medline]
Mann, I. C. 1921. On the development of the fissural and associated regions in the eye of the chick, with some observations on the mammal. J. Anat. 55:113118.[Medline]
Martín-Platero, A. M., E. Valdivia, M. Ruíz-Rodríguez, J. J. Soler, M. Martín-Vivaldi, M. Maqueda, and M. Martínez-Bueno. 2006. Characterization of antimicrobial substances produced by Enterococcus faecalis MRR 10-3, isolated from the uropygial gland of the hoopoe (Upupa epops). Appl. Environ. Microbiol. 72:42454249.
McCarthy, F. M., A. M. Cooksey, N. Wang, S. M. Bridges, G. T. Pharr, and S. C. Burgess. 2006. Modeling a whole organ using proteomics: The avian bursa of Fabricius. Proteomics 6:27592771.[ISI][Medline]
Miller, J., and I. Stagliar. 2004. Using the yeast two-hybrid system to identify interacting proteins. Methods Mol. Biol. 261:247262.[Medline]
Silphaduang, U., M. T. Hincke, Y. Nys, and Y. Mine. 2006. Antimicrobial proteins in chicken reproductive system. Biochem. Biophys. Res. Commun. 340:648655.[ISI][Medline]
Smith, R. D., K. Tang, and Y. Shen. 2006. Ultra-sensitive and quantitative characterization of proteomes. Molecular Biosystems 2:221230.[ISI][Medline]
Stagsted, J., E. Bendixen, and H. J. Andersen. 2004. Identification of specific oxidatively modified proteins in chicken muscles using a combined immunologic and proteomic approach. J. Agric. Food Chem. 52:39673974.[ISI][Medline]
Tacken, M. G. J., B. P. H. Peeters, A. A. M. Thomas, P. J. M. Rottier, and H. J. Boot. 2002. Infectious bursal disease virus capsid protein VP3 interacts both with VP1, the RNA-dependent RNA polymerase, and with viral double-stranded RNA. J. Virol. 76:1130111311.
Tacken, M. G. J., P. J. M. Rottier, A. L. J. Gielkens, and B. P. H. Peeters. 2000. Interactions in vivo between the proteins of infectious bursal disease virus: Capsid protein VP3 interacts with RNA-dependent RNA polymerase, VP1. J. Gen. Virol. 81:209218.
Tacken, M. G. J., P. A. J. Van Den Beuken, B. P. H. Peeters, A. A. M. Thomas, P. J. M. Rottier, and H. J. Boot. 2003. Homotypic interactions of the infectious bursal disease virus proteins VP3, pVp2, VP4, and VP5: Mapping interacting domains. Virology 312:306319.[ISI][Medline]
Wallach, M., D. Mencher, S. Yrus, S. Pillemer, A. Halabi, and T. Pugatsch. 1989. Eimeria maxima: Identification of gametocyte protein antigens. Exp. Parasitol. 68:4956.[ISI][Medline]
Wasinger, V. C., S. J. Cordwell, A. Cerpa-Poljak, J. X. Yan, A. A. Gooley, M. R. Wilkins, M. W. Duncan, R. Harris, K. L. Williams, and I. Humphery-Smith. 1995. Progress with gene-product mapping of the Mollicutes: Mycoplasma genitalium. Electrophoresis 16:10901094.[ISI][Medline]
Wilmarth, P. A., J. R. Taube, M. A. Riviere, M. K. Duncan, and L. L. David. 2004. Proteomic and sequence analysis of chicken lens crystallins reveals alternate splicing and translational forms of ß B2 and ß A2 crystallins. Invest. Ophthalmol. Vis. Sci. 45:27052715.
Witter, R. L., D. Li, D. Jones, L. F. Lee, and K. J. Kung. 1997. Retroviral insertional mutagenesis of a herpesvirus: A Mareks disease virus mutant attenuated for oncogenicity but not for immunosuppression or in vivo replication. Avian Dis. 41:407421.[ISI][Medline]
Wittmann-Liebold, B., H. R. Graack, and T. Pohl. 2006. Two-dimensional gel electrophoresis as tool for proteomics studies in combination with protein identification by mass spectrometry. Proteomics 6:46884703.[ISI][Medline]
Zaluzec, E. J., D. A. Gage, and J. T. Watson. 1995. Matrix-assisted laser desorption ionization mass spectrometry: Applications in peptide and protein characterization. Protein Expr. Purif. 6:109123.[ISI][Medline]
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