Literature DB >> 15849271

Quantitative proteomic analysis using isobaric protein tags enables rapid comparison of changes in transcript and protein levels in transformed cells.

Richard D Unwin1, Andrew Pierce, Rod B Watson, David W Sternberg, Anthony D Whetton.   

Abstract

Isobaric tags for relative and absolute quantitation, an approach to concurrent, relative quantification of proteins present in four cell preparations, have recently been described. To validate this approach using complex mammalian cell samples that show subtle differences in protein levels, a model stem cell-like cell line (FDCP-mix) in the presence or absence of the leukemogenic oncogene TEL/PDGFRbeta has been studied. Cell lysates were proteolytically digested, and peptides within each sample were labeled with one of four isobaric, isotope-coded tags via their N-terminal and/or lysine side chains. The four labeled samples are mixed and peptides separated by two-dimensional liquid chromatography online to a mass spectrometer (LC-MS). Upon peptide fragmentation, each tag releases a distinct mass reporter ion; the ratio of the four reporters therefore gives relative abundances of the given peptide. Relative quantification of proteins is derived using summed data from a number of peptides. TEL/PDGFRbeta leukemic oncogene-mediated changes in protein levels were compared with those seen in microarray analysis of control and transfected FDCP-mix cells. Changes at the protein level in most cases reflected those seen at the transcriptome level. Nonetheless, novel differences in protein expression were found that indicate potential mechanisms for effects of this oncogene.

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Year:  2005        PMID: 15849271     DOI: 10.1074/mcp.M400193-MCP200

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


  38 in total

1.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

2.  A multiplexed proteomics approach to differentiate neurite outgrowth patterns.

Authors:  Tong Liu; Veera D'mello; Longwen Deng; Jun Hu; Michael Ricardo; Sanqiang Pan; Xiaodong Lu; Scott Wadsworth; John Siekierka; Raymond Birge; Hong Li
Journal:  J Neurosci Methods       Date:  2006-06-23       Impact factor: 2.390

Review 3.  A proteomic primer for the clinician.

Authors:  Yurong Guo; Zongming Fu; Jennifer E Van Eyk
Journal:  Proc Am Thorac Soc       Date:  2007-01

4.  Comparative time-dependent analysis of potential inflammation biomarkers in lymphoma-bearing SJL mice.

Authors:  Monica H Kristiansson; Vadiraja B Bhat; I Ramesh Babu; John S Wishnok; Steven R Tannenbaum
Journal:  J Proteome Res       Date:  2007-03-28       Impact factor: 4.466

Review 5.  Biomarker method validation in anticancer drug development.

Authors:  J Cummings; T H Ward; A Greystoke; M Ranson; C Dive
Journal:  Br J Pharmacol       Date:  2007-09-17       Impact factor: 8.739

6.  A statistical model for iTRAQ data analysis.

Authors:  Elizabeth G Hill; John H Schwacke; Susana Comte-Walters; Elizabeth H Slate; Ann L Oberg; Jeanette E Eckel-Passow; Terry M Therneau; Kevin L Schey
Journal:  J Proteome Res       Date:  2008-06-26       Impact factor: 4.466

7.  Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 16O/18O labeling and integrated two-dimensional LC-ESI-MALDI tandem MS.

Authors:  Lang-Ming Chi; Chien-Wei Lee; Kai-Ping Chang; Sheng-Po Hao; Hang-Mao Lee; Ying Liang; Chuen Hsueh; Chia-Jung Yu; I-Neng Lee; Yin-Ju Chang; Shih-Ying Lee; Yuan-Ming Yeh; Yu-Sun Chang; Kun-Yi Chien; Jau-Song Yu
Journal:  Mol Cell Proteomics       Date:  2009-03-18       Impact factor: 5.911

8.  An integrated mass-spectrometry pipeline identifies novel protein coding-regions in the human genome.

Authors:  Danny A Bitton; Duncan L Smith; Yvonne Connolly; Paul J Scutt; Crispin J Miller
Journal:  PLoS One       Date:  2010-01-28       Impact factor: 3.240

9.  Ocular proteomics with emphasis on two-dimensional gel electrophoresis and mass spectrometry.

Authors:  Bent Honoré; Henrik Vorum; Nakul Mandal; Steffen Heegaard; Jan Ulrik Prause
Journal:  Biol Proced Online       Date:  2009-12-24       Impact factor: 3.244

10.  Quantitative proteomics analysis of maternal plasma in Down syndrome pregnancies using isobaric tagging reagent (iTRAQ).

Authors:  Varaprasad Kolla; Paul Jenö; Suzette Moes; Sevgi Tercanli; Olav Lapaire; Mahesh Choolani; Sinuhe Hahn
Journal:  J Biomed Biotechnol       Date:  2009-11-05
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