Literature DB >> 18165257

Relative protein quantification by isobaric SILAC with immonium ion splitting (ISIS).

Mara Colzani1, Frédéric Schütz, Alexandra Potts, Patrice Waridel, Manfredo Quadroni.   

Abstract

Metabolic labeling techniques have recently become popular tools for the quantitative profiling of proteomes. Classical stable isotope labeling with amino acids in cell cultures (SILAC) uses pairs of heavy/light isotopic forms of amino acids to introduce predictable mass differences in protein samples to be compared. After proteolysis, pairs of cognate precursor peptides can be correlated, and their intensities can be used for mass spectrometry-based relative protein quantification. We present an alternative SILAC approach by which two cell cultures are grown in media containing isobaric forms of amino acids, labeled either with 13C on the carbonyl (C-1) carbon or 15N on backbone nitrogen. Labeled peptides from both samples have the same nominal mass and nearly identical MS/MS spectra but generate upon fragmentation distinct immonium ions separated by 1 amu. When labeled protein samples are mixed, the intensities of these immonium ions can be used for the relative quantification of the parent proteins. We validated the labeling of cellular proteins with valine, isoleucine, and leucine with coverage of 97% of all tryptic peptides. We improved the sensitivity for the detection of the quantification ions on a pulsing instrument by using a specific fast scan event. The analysis of a protein mixture with a known heavy/light ratio showed reliable quantification. Finally the application of the technique to the analysis of two melanoma cell lines yielded quantitative data consistent with those obtained by a classical two-dimensional DIGE analysis of the same samples. Our method combines the features of the SILAC technique with the advantages of isobaric labeling schemes like iTRAQ. We discuss advantages and disadvantages of isobaric SILAC with immonium ion splitting as well as possible ways to improve it.

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Year:  2007        PMID: 18165257     DOI: 10.1074/mcp.M700440-MCP200

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


  5 in total

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Journal:  Mol Cell Proteomics       Date:  2012-05-03       Impact factor: 5.911

2.  Network-guided analysis of genes with altered somatic copy number and gene expression reveals pathways commonly perturbed in metastatic melanoma.

Authors:  Armand Valsesia; Donata Rimoldi; Danielle Martinet; Mark Ibberson; Paola Benaglio; Manfredo Quadroni; Patrice Waridel; Muriel Gaillard; Mireille Pidoux; Blandine Rapin; Carlo Rivolta; Ioannis Xenarios; Andrew J G Simpson; Stylianos E Antonarakis; Jacques S Beckmann; C Victor Jongeneel; Christian Iseli; Brian J Stevenson
Journal:  PLoS One       Date:  2011-04-08       Impact factor: 3.240

Review 3.  A Review: Proteomics in Nasopharyngeal Carcinoma.

Authors:  Ze-Tan Chen; Zhong-Guo Liang; Xiao-Dong Zhu
Journal:  Int J Mol Sci       Date:  2015-07-08       Impact factor: 5.923

Review 4.  The role of quantitative mass spectrometry in the discovery of pancreatic cancer biomarkers for translational science.

Authors:  Daniel Ansari; Linus Aronsson; Agata Sasor; Charlotte Welinder; Melinda Rezeli; György Marko-Varga; Roland Andersson
Journal:  J Transl Med       Date:  2014-04-05       Impact factor: 5.531

5.  Evaluation of a method for nitrotyrosine site identification and relative quantitation using a stable isotope-labeled nitrated spike-in standard and high resolution fourier transform MS and MS/MS analysis.

Authors:  Kent W Seeley; Alison R Fertig; Craig P Dufresne; Joao P C Pinho; Stanley M Stevens
Journal:  Int J Mol Sci       Date:  2014-04-14       Impact factor: 5.923

  5 in total

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