Literature DB >> 20467045

Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Johannes A Hewel1, Jian Liu, Kento Onishi, Vincent Fong, Shamanta Chandran, Jonathan B Olsen, Oxana Pogoutse, Mike Schutkowski, Holger Wenschuh, Dirk F H Winkler, Larry Eckler, Peter W Zandstra, Andrew Emili.   

Abstract

Effective methods to detect and quantify functionally linked regulatory proteins in complex biological samples are essential for investigating mammalian signaling pathways. Traditional immunoassays depend on proprietary reagents that are difficult to generate and multiplex, whereas global proteomic profiling can be tedious and can miss low abundance proteins. Here, we report a target-driven liquid chromatography-tandem mass spectrometry (LC-MS/MS) strategy for selectively examining the levels of multiple low abundance components of signaling pathways which are refractory to standard shotgun screening procedures and hence appear limited in current MS/MS repositories. Our stepwise approach consists of: (i) synthesizing microscale peptide arrays, including heavy isotope-labeled internal standards, for use as high quality references to (ii) build empirically validated high density LC-MS/MS detection assays with a retention time scheduling system that can be used to (iii) identify and quantify endogenous low abundance protein targets in complex biological mixtures with high accuracy by correlation to a spectral database using new software tools. The method offers a flexible, rapid, and cost-effective means for routine proteomic exploration of biological systems including "label-free" quantification, while minimizing spurious interferences. As proof-of-concept, we have examined the abundance of transcription factors and protein kinases mediating pluripotency and self-renewal in embryonic stem cell populations.

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Year:  2010        PMID: 20467045      PMCID: PMC2984235          DOI: 10.1074/mcp.M900456-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  55 in total

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2.  How do shotgun proteomics algorithms identify proteins?

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Review 3.  A human proteome detection and quantitation project.

Authors:  N Leigh Anderson; Norman G Anderson; Terry W Pearson; Christoph H Borchers; Amanda G Paulovich; Scott D Patterson; Michael Gillette; Ruedi Aebersold; Steven A Carr
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4.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

Authors:  Terri A Addona; Susan E Abbatiello; Birgit Schilling; Steven J Skates; D R Mani; David M Bunk; Clifford H Spiegelman; Lisa J Zimmerman; Amy-Joan L Ham; Hasmik Keshishian; Steven C Hall; Simon Allen; Ronald K Blackman; Christoph H Borchers; Charles Buck; Helene L Cardasis; Michael P Cusack; Nathan G Dodder; Bradford W Gibson; Jason M Held; Tara Hiltke; Angela Jackson; Eric B Johansen; Christopher R Kinsinger; Jing Li; Mehdi Mesri; Thomas A Neubert; Richard K Niles; Trenton C Pulsipher; David Ransohoff; Henry Rodriguez; Paul A Rudnick; Derek Smith; David L Tabb; Tony J Tegeler; Asokan M Variyath; Lorenzo J Vega-Montoto; Asa Wahlander; Sofia Waldemarson; Mu Wang; Jeffrey R Whiteaker; Lei Zhao; N Leigh Anderson; Susan J Fisher; Daniel C Liebler; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

5.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

Review 6.  Integration of proteomic-based tools for improved biomarkers of myocardial injury.

Authors:  Robert E Gerszten; Steven A Carr; Marc Sabatine
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

7.  LIF-mediated control of embryonic stem cell self-renewal emerges due to an autoregulatory loop.

Authors:  Ryan E Davey; Kento Onishi; Alborz Mahdavi; Peter W Zandstra
Journal:  FASEB J       Date:  2007-03-13       Impact factor: 5.191

8.  Quantification of cardiovascular biomarkers in patient plasma by targeted mass spectrometry and stable isotope dilution.

Authors:  Hasmik Keshishian; Terri Addona; Michael Burgess; D R Mani; Xu Shi; Eric Kuhn; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2009-07-13       Impact factor: 5.911

9.  Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring.

Authors:  Geraldine M Walsh; Shujun Lin; Daniel M Evans; Arash Khosrovi-Eghbal; Ronald C Beavis; Juergen Kast
Journal:  J Proteomics       Date:  2008-12-06       Impact factor: 4.044

10.  Evaluation of data-dependent versus targeted shotgun proteomic approaches for monitoring transcription factor expression in breast cancer.

Authors:  Charanjit Sandhu; Johannes A Hewel; Gwenael Badis; Shaheynoor Talukder; Jian Liu; Timothy R Hughes; Andrew Emili
Journal:  J Proteome Res       Date:  2008-02-27       Impact factor: 4.466

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Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

2.  Cand1 promotes assembly of new SCF complexes through dynamic exchange of F box proteins.

Authors:  Nathan W Pierce; J Eugene Lee; Xing Liu; Michael J Sweredoski; Robert L J Graham; Elizabeth A Larimore; Michael Rome; Ning Zheng; Bruce E Clurman; Sonja Hess; Shu-ou Shan; Raymond J Deshaies
Journal:  Cell       Date:  2013-02-28       Impact factor: 41.582

3.  A systematic model of the LC-MS proteomics pipeline.

Authors:  Youting Sun; Ulisses Braga-Neto; Edward R Dougherty
Journal:  BMC Genomics       Date:  2012-10-26       Impact factor: 3.969

  3 in total

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