期刊论文详细信息
Clinical Proteomics
Application of quantitative proteomics to the integrated analysis of the ubiquitylated and global proteomes of xenograft tumor tissues
Robert J Cotter1  Hui Zhang2  Stefani N Thomas2 
[1]Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore 21205, MD, USA
[2]Department of Pathology, Clinical Chemistry Division, Johns Hopkins University School of Medicine, 1550 Orleans Street CRBII Room 3M06, Baltimore 21231, MD, USA
关键词: Tissue;    Xenograft;    Quantification;    iTRAQ;    Proteomics;    Mass spectrometry;    Ubiquitylation;   
Others  :  1208993
DOI  :  10.1186/s12014-015-9086-5
 received in 2014-12-19, accepted in 2015-05-11,  发布年份 2015
PDF
【 摘 要 】

Background

Post-translational modification by ubiquitin is a fundamental regulatory mechanism that is implicated in many cellular processes including the cell cycle, apoptosis, cell adhesion, angiogenesis, and tumor growth. The low stoichiometry of ubiquitylation presents an analytical challenge for the detection of endogenously modified proteins in the absence of enrichment strategies. The recent availability of antibodies recognizing peptides with Lys residues containing a di-Gly ubiquitin remnant (K-ε-GG) has greatly improved the ability to enrich and identify ubiquitylation sites from complex protein lysates via mass spectrometry. To date, there have not been any published studies that quantitatively assess the changes in endogenous ubiquitin-modification protein stoichiometry status at the proteome level from different tissues.

Results

In this study, we applied an integrated quantitative mass spectrometry based approach using isobaric tags for relative and absolute quantitation (iTRAQ) to interrogate the ubiquitin-modified proteome and the cognate global proteome levels from luminal and basal breast cancer patient-derived xenograft tissues. Among the proteins with quantitative global and ubiquitylation data, 91 % had unchanged levels of total protein relative abundance, and less than 5 % of these proteins had up- or down-regulated ubiquitylation levels. Of particular note, greater than half of the proteins with observed changes in their total protein level also had up- or down-regulated changes in their ubiquitylation level.

Conclusions

This is the first report of the application of iTRAQ-based quantification to the integrated analysis of the ubiquitylated and global proteomes at the tissue level. Our results underscore the importance of conducting integrated analyses of the global and ubiquitylated proteomes toward elucidating the specific functional significance of ubiquitylation.

【 授权许可】

   
2015 Thomas et al.; licensee BioMed Central.

【 预 览 】
附件列表
Files Size Format View
20150601031919860.pdf 1667KB PDF download
Fig. 6. 68KB Image download
Fig. 5. 43KB Image download
Fig. 4. 56KB Image download
Fig. 3. 81KB Image download
Fig. 2. 29KB Image download
Fig. 1. 35KB Image download
【 图 表 】

Fig. 1.

Fig. 2.

Fig. 3.

Fig. 4.

Fig. 5.

Fig. 6.

【 参考文献 】
  • [1]Glickman MH, Ciechanover A. The ubiquitin-proteasome proteolytic pathway: destruction for the sake of construction. Physiol Rev. 2002; 82:373-428.
  • [2]Haglund K, Dikic I. Ubiquitylation and cell signaling. Embo J. 2005; 24:3353-9.
  • [3]Hershko A, Ciechanover A. The ubiquitin system. Annu Rev Biochem. 1998; 67:425-79.
  • [4]Mukhopadhyay D, Riezman H. Proteasome-independent functions of ubiquitin in endocytosis and signaling. Science. 2007; 315:201-5.
  • [5]McDowell GS, Philpott A. Non-canonical ubiquitylation: mechanisms and consequences. Int J Biochem Cell Biol. 2013; 45:1833-42.
  • [6]Pickart CM, Eddins MJ. Ubiquitin: structures, functions, mechanisms. Biochim Biophys Acta. 2004; 1695:55-72.
  • [7]Komander D, Rape M. The ubiquitin code. Annu Rev Biochem. 2012; 81:203-29.
  • [8]Weissman AM, Shabek N, Ciechanover A. The predator becomes the prey: regulating the ubiquitin system by ubiquitylation and degradation. Nat Rev Mol Cell Biol. 2011; 12:605-20.
  • [9]Bennett EJ, Shaler TA, Woodman B, Ryu KY, Zaitseva TS, Becker CH et al.. Global changes to the ubiquitin system in Huntington’s disease. Nature. 2007; 448:704-8.
  • [10]Sacco JJ, Coulson JM, Clague MJ, Urbe S. Emerging roles of deubiquitinases in cancer-associated pathways. IUBMB Life. 2010; 62:140-57.
  • [11]Bedford L, Lowe J, Dick LR, Mayer RJ, Brownell JE. Ubiquitin-like protein conjugation and the ubiquitin-proteasome system as drug targets. Nat Rev Drug Discov. 2011; 10:29-46.
  • [12]Edelmann MJ, Nicholson B, Kessler BM. Pharmacological targets in the ubiquitin system offer new ways of treating cancer, neurodegenerative disorders and infectious diseases. Expert Rev Mol Med. 2011; 13: Article ID e35
  • [13]Cohen P, Tcherpakov M. Will the ubiquitin system furnish as many drug targets as protein kinases? Cell. 2010; 143:686-93.
  • [14]Theurillat JP, Udeshi ND, Errington WJ, Svinkina T, Baca SC, Pop M et al.. Prostate cancer. Ubiquitylome analysis identifies dysregulation of effector substrates in SPOP-mutant prostate cancer. Science. 2014; 346:85-9.
  • [15]Danielsen JM, Sylvestersen KB, Bekker-Jensen S, Szklarczyk D, Poulsen JW, Horn H et al.. Mass spectrometric analysis of lysine ubiquitylation reveals promiscuity at site level. Mol Cell Proteomics. 2011; 10:M110 003590.
  • [16]Kim W, Bennett EJ, Huttlin EL, Guo A, Li J, Possemato A et al.. Systematic and quantitative assessment of the ubiquitin-modified proteome. Mol Cell. 2011; 44:325-40.
  • [17]Udeshi ND, Mani DR, Eisenhaure T, Mertins P, Jaffe JD, Clauser KR et al.. Methods for quantification of in vivo changes in protein ubiquitination following proteasome and deubiquitinase inhibition. Mol Cell Proteomics. 2012; 11:148-59.
  • [18]Udeshi ND, Mertins P, Svinkina T, Carr SA. Large-scale identification of ubiquitination sites by mass spectrometry. Nat Protoc. 2013; 8:1950-60.
  • [19]Udeshi ND, Svinkina T, Mertins P, Kuhn E, Mani DR, Qiao JW et al.. Refined preparation and use of anti-diglycine remnant (K-epsilon-GG) antibody enables routine quantification of 10,000s of ubiquitination sites in single proteomics experiments. Mol Cell Proteomics. 2013; 12:825-31.
  • [20]Wagner SA, Beli P, Weinert BT, Nielsen ML, Cox J, Mann M et al.. A proteome-wide, quantitative survey of in vivo ubiquitylation sites reveals widespread regulatory roles. Mol Cell Proteomics. 2011; 10:M111 013284.
  • [21]Wagner SA, Beli P, Weinert BT, Scholz C, Kelstrup CD, Young C et al.. Proteomic analyses reveal divergent ubiquitylation site patterns in murine tissues. Mol Cell Proteomics. 2012; 11:1578-85.
  • [22]Xu G, Paige JS, Jaffrey SR. Global analysis of lysine ubiquitination by ubiquitin remnant immunoaffinity profiling. Nat Biotechnol. 2010; 28:868-73.
  • [23]Peng J, Schwartz D, Elias JE, Thoreen CC, Cheng D, Marsischky G et al.. A proteomics approach to understanding protein ubiquitination. Nat Biotechnol. 2003; 21:921-6.
  • [24]Iwabuchi M, Sheng H, Thompson J, Wang L, Dubois LG, Gooden D et al.. Characterization of the ubiquitin-modified proteome regulated by transient forebrain ischemia. J Cereb Blood Flow Metab. 2014; 34:425-32.
  • [25]Prabakaran S, Lippens G, Steen H, Gunawardena J. Post-translational modification: nature’s escape from genetic imprisonment and the basis for dynamic information encoding. Wiley Interdiscip Rev Syst Biol Med. 2012; 4:565-83.
  • [26]Olsen JV, Vermeulen M, Santamaria A, Kumar C, Miller ML, Jensen LJ et al.. Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis. Sci Signal. 2012; 3:ra3.
  • [27]Goldbeter A, Koshland DE. An amplified sensitivity arising from covalent modification in biological systems. Proc Natl Acad Sci U S A. 1981; 78:6840-4.
  • [28]Komander D, Clague MJ, Urbe S. Breaking the chains: structure and function of the deubiquitinases. Nat Rev Mol Cell Biol. 2009; 10:550-63.
  • [29]Li S, Shen D, Shao J, Crowder R, Liu W, Prat A et al.. Endocrine-therapy-resistant ESR1 variants revealed by genomic characterization of breast-cancer-derived xenografts. Cell Rep. 2013; 4:1116-30.
  • [30]Olsen JV, Ong SE, Mann M. Trypsin cleaves exclusively C-terminal to arginine and lysine residues. Mol Cell Proteomics. 2004; 3:608-14.
  • [31]Seyfried NT, Xu P, Duong DM, Cheng D, Hanfelt J, Peng J. Systematic approach for validating the ubiquitinated proteome. Anal Chem. 2008; 80:4161-9.
  • [32]Thrower JS, Hoffman L, Rechsteiner M, Pickart CM. Recognition of the polyubiquitin proteolytic signal. Embo J. 2000; 19:94-102.
  • [33]Ikeda F, Dikic I. Atypical ubiquitin chains: new molecular signals. ‘Protein Modifications: Beyond the Usual Suspects’ review series. EMBO Rep. 2008; 9:536-42.
  • [34]Polge C, Uttenweiler-Joseph S, Leulmi R, Heng AE, Burlet-Schiltz O, Attaix D et al.. Deciphering the ubiquitin proteome: limits and advantages of high throughput global affinity purification-mass spectrometry approaches. Int J Biochem Cell Biol. 2013; 45:2136-46.
  • [35]Bhatia VN, Perlman DH, Costello CE, McComb ME. Software tool for researching annotations of proteins: open-source protein annotation software with data visualization. Anal Chem. 2009; 81:9819-23.
  • [36]Yang F, Shen Y, Camp DG, Smith RD. High-pH reversed-phase chromatography with fraction concatenation for 2D proteomic analysis. Expert Rev Proteomics. 2012; 9:129-34.
  • [37]Network TCGA. Comprehensive molecular portraits of human breast tumours. Nature. 2012; 490:61-70.
  • [38]Hu Z, Fan C, Oh DS, Marron JS, He X, Qaqish BF et al.. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 2006; 7:96. BioMed Central Full Text
  • [39]Fan C, Oh DS, Wessels L, Weigelt B, Nuyten DS, Nobel AB et al.. Concordance among gene-expression-based predictors for breast cancer. N Engl J Med. 2006; 355:560-9.
  • [40]Warburg O. On the origin of cancer cells. Science. 1956; 123:309-14.
  • [41]Na CH, Jones DR, Yang Y, Wang X, Xu Y, Peng J. Synaptic protein ubiquitination in rat brain revealed by antibody-based ubiquitome analysis. J Proteome Res. 2012; 11:4722-32.
  • [42]Geiger T, Cox J, Ostasiewicz P, Wisniewski JR, Mann M. Super-SILAC mix for quantitative proteomics of human tumor tissue. Nat Methods. 2010; 7:383-5.
  • [43]Ong SE, Blagoev B, Kratchmarova I, Kristensen DB, Steen H, Pandey A et al.. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol Cell Proteomics. 2002; 1:376-86.
  • [44]Zhang G, Fenyo D, Neubert TA. Evaluation of the variation in sample preparation for comparative proteomics using stable isotope labeling by amino acids in cell culture. J Proteome Res. 2009; 8:1285-92.
  • [45]Ding L, Ellis MJ, Li S, Larson DE, Chen K, Wallis JW et al.. Genome remodelling in a basal-like breast cancer metastasis and xenograft. Nature. 2010; 464:999-1005.
  • [46]Nielsen ML, Vermeulen M, Bonaldi T, Cox J, Moroder L, Mann M. Iodoacetamide-induced artifact mimics ubiquitination in mass spectrometry. Nat Methods. 2008; 5:459-60.
  • [47]Rappsilber J, Mann M, Ishihama Y. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat Protoc. 2007; 2:1896-906.
  文献评价指标  
  下载次数:12次 浏览次数:20次