Literature DB >> 12832456

The application of new software tools to quantitative protein profiling via isotope-coded affinity tag (ICAT) and tandem mass spectrometry: I. Statistically annotated datasets for peptide sequences and proteins identified via the application of ICAT and tandem mass spectrometry to proteins copurifying with T cell lipid rafts.

Priska D von Haller1, Eugene Yi, Samuel Donohoe, Kelly Vaughn, Andrew Keller, Alexey I Nesvizhskii, Jimmy Eng, Xiao-jun Li, David R Goodlett, Ruedi Aebersold, Julian D Watts.   

Abstract

Lipid rafts were prepared according to standard protocols from Jurkat T cells stimulated via T cell receptor/CD28 cross-linking and from control (unstimulated) cells. Co-isolating proteins from the control and stimulated cell preparations were labeled with isotopically normal (d0) and heavy (d8) versions of the same isotope-coded affinity tag (ICAT) reagent, respectively. Samples were combined, proteolyzed, and resultant peptides fractionated via cation exchange chromatography. Cysteine-containing (ICAT-labeled) peptides were recovered via the biotin tag component of the ICAT reagents by avidin-affinity chromatography. On-line micro-capillary liquid chromatography tandem mass spectrometry was performed on both avidin-affinity (ICAT-labeled) and flow-through (unlabeled) fractions. Initial peptide sequence identification was by searching recorded tandem mass spectrometry spectra against a human sequence data base using SEQUEST software. New statistical data modeling algorithms were then applied to the SEQUEST search results. These allowed for discrimination between likely "correct" and "incorrect" peptide assignments, and from these the inferred proteins that they collectively represented, by calculating estimated probabilities that each peptide assignment and subsequent protein identification was a member of the "correct" population. For convenience, the resultant lists of peptide sequences assigned and the proteins to which they corresponded were filtered at an arbitrarily set cut-off of 0.5 (i.e. 50% likely to be "correct") and above and compiled into two separate datasets. In total, these data sets contained 7667 individual peptide identifications, which represented 2669 unique peptide sequences, corresponding to 685 proteins and related protein groups.

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Year:  2003        PMID: 12832456     DOI: 10.1074/mcp.D300002-MCP200

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


  16 in total

1.  A systematic characterization of mitochondrial proteome from human T leukemia cells.

Authors:  Karim Rezaul; Linfeng Wu; Viveka Mayya; Sun-Il Hwang; David Han
Journal:  Mol Cell Proteomics       Date:  2004-12-14       Impact factor: 5.911

Review 2.  Proteome research based on modern liquid chromatography--tandem mass spectrometry: separation, identification and quantification.

Authors:  T Fröhlich; G J Arnold
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

3.  A new protocol of analyzing isotope-coded affinity tag data from high-resolution LC-MS spectrometry.

Authors:  Weichuan Yu; Junfeng Liu; Chris Colangelo; Erol Gulcicek; Hongyu Zhao
Journal:  Comput Biol Chem       Date:  2007-03-20       Impact factor: 2.877

Review 4.  Methods and approaches for the comprehensive characterization and quantification of cellular proteomes using mass spectrometry.

Authors:  Shama P Mirza; Michael Olivier
Journal:  Physiol Genomics       Date:  2007-12-27       Impact factor: 3.107

5.  Maternal serum serpin B7 is associated with early spontaneous preterm birth.

Authors:  Samuel Parry; Heping Zhang; Joseph Biggio; Radek Bukowski; Michael Varner; Yaji Xu; William W Andrews; George R Saade; M Sean Esplin; Rita Leite; John Ilekis; Uma M Reddy; Yoel Sadovsky; Ian A Blair
Journal:  Am J Obstet Gynecol       Date:  2014-06-19       Impact factor: 8.661

Review 6.  Minireview: progress and challenges in proteomics data management, sharing, and integration.

Authors:  Lauren B Becnel; Neil J McKenna
Journal:  Mol Endocrinol       Date:  2012-08-17

7.  Matching isotopic distributions from metabolically labeled samples.

Authors:  Sean McIlwain; David Page; Edward L Huttlin; Michael R Sussman
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

8.  Identification and quantification of preterm birth biomarkers in human cervicovaginal fluid by liquid chromatography/tandem mass spectrometry.

Authors:  Sumit J Shah; Kenneth H Yu; Vineet Sangar; Samuel I Parry; Ian A Blair
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

9.  Mitochondria do not contain lipid rafts, and lipid rafts do not contain mitochondrial proteins.

Authors:  Yu Zi Zheng; Kyra B Berg; Leonard J Foster
Journal:  J Lipid Res       Date:  2009-01-09       Impact factor: 5.922

Review 10.  Contributions of quantitative proteomics to understanding membrane microdomains.

Authors:  Yu Zi Zheng; Leonard J Foster
Journal:  J Lipid Res       Date:  2009-07-03       Impact factor: 5.922

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