Literature DB >> 20839105

Proteome-wide quantitation by SILAC.

Kristoffer T G Rigbolt1, Blagoy Blagoev.   

Abstract

Ongoing improvements in instrumentation, fractionation techniques, and enrichment procedures have dramatically increased the coverage of the proteome achievable via LC-MS/MS-based methodologies, opening the call for approaches to quantitatively assess differences at a proteome-wide scale. Stable isotope labeling by amino acids in cell culture (SILAC) has emerged as a powerful and versatile approach for proteome-wide quantitation by mass spectrometry. SILAC utilizes the cells' own metabolism to incorporate isotopically labeled amino acids into its proteome which can be mixed with the proteome of unlabeled cells and differences in protein expression can easily be read out by comparing the abundance of the labeled versus unlabeled proteins. SILAC has been applied to numerous different cell lines and the technique has been adapted for a wide range of experimental procedures. In this chapter we provide detailed procedure for performing SILAC-based experiment for proteome-wide quantitation, including a protocol for optimizing SILAC labeling. We also provide an update on the most recent developments of this technique.

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Year:  2010        PMID: 20839105     DOI: 10.1007/978-1-60761-780-8_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

1.  Characterization of early autophagy signaling by quantitative phosphoproteomics.

Authors:  Kristoffer Tg Rigbolt; Mostafa Zarei; Adrian Sprenger; Andrea C Becker; Britta Diedrich; Xun Huang; Sven Eiselein; Anders R Kristensen; Christine Gretzmeier; Jens S Andersen; Zhike Zi; Jörn Dengjel
Journal:  Autophagy       Date:  2013-11-21       Impact factor: 16.016

2.  GProX, a user-friendly platform for bioinformatics analysis and visualization of quantitative proteomics data.

Authors:  Kristoffer T G Rigbolt; Jens T Vanselow; Blagoy Blagoev
Journal:  Mol Cell Proteomics       Date:  2011-05-20       Impact factor: 5.911

3.  Investigating the secretome: lessons about the cells that comprise the heart.

Authors:  Miroslava Stastna; Jennifer E Van Eyk
Journal:  Circ Cardiovasc Genet       Date:  2012-02-01

4.  Poxvirus exploitation of the ubiquitin-proteasome system.

Authors:  Michele Barry; Nicholas Van Buuren; Kristin Burles; Kelly Mottet; Qian Wang; Alastair Teale
Journal:  Viruses       Date:  2010-10-19       Impact factor: 5.818

5.  PIQMIe: a web server for semi-quantitative proteomics data management and analysis.

Authors:  Arnold Kuzniar; Roland Kanaar
Journal:  Nucleic Acids Res       Date:  2014-05-26       Impact factor: 16.971

6.  Drosophila protein interaction map (DPiM): a paradigm for metazoan protein complex interactions.

Authors:  K G Guruharsha; Robert A Obar; Julian Mintseris; K Aishwarya; R T Krishnan; K Vijayraghavan; Spyros Artavanis-Tsakonas
Journal:  Fly (Austin)       Date:  2012 Oct-Dec       Impact factor: 2.160

7.  MDM2 facilitates adipocyte differentiation through CRTC-mediated activation of STAT3.

Authors:  P Hallenborg; M Siersbæk; I Barrio-Hernandez; R Nielsen; K Kristiansen; S Mandrup; L Grøntved; B Blagoev
Journal:  Cell Death Dis       Date:  2016-06-30       Impact factor: 8.469

  7 in total

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