Literature DB >> 17071406

Quantitative proteomics to study mitogen-activated protein kinases.

Blagoy Blagoev1, Matthias Mann.   

Abstract

In the last several years, the impact of mass spectrometry (MS)-based proteomics on cell signaling research has increased dramatically. This development has been driven both by better instrumentation and by the progression of proteomics from mainly qualitative measurements towards quantitative analyses. In this regard, Stable Isotope Labeling by Amino acids in Cell culture (SILAC) has established itself as one of the most popular and useful quantitative proteomic methodologies to study signaling networks. SILAC relies on the metabolic incorporation of non-radioactive heavy isotopes in the whole proteome of desired cell line, making all proteins from these cells easily distinguishable in the mass spectrometers from the proteins originating from control cells. The procedure does not involve any chemical derivatization steps and, importantly, allows mixing of the two cell populations for combined additional sample manipulation, thus leading to highly reliable results with minimal errors. In this chapter, we describe in detail the SILAC labeling procedure and explain how to design SILAC experiments to examine the level and duration of phosphorylation of endogenous MAP kinases and their substrates in cell culture systems.

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Year:  2006        PMID: 17071406     DOI: 10.1016/j.ymeth.2006.08.001

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  26 in total

1.  Dynamics of the skeletal muscle secretome during myoblast differentiation.

Authors:  Jeanette Henningsen; Kristoffer T G Rigbolt; Blagoy Blagoev; Bente Klarlund Pedersen; Irina Kratchmarova
Journal:  Mol Cell Proteomics       Date:  2010-07-14       Impact factor: 5.911

Review 2.  Functional proteomics to dissect tyrosine kinase signalling pathways in cancer.

Authors:  Walter Kolch; Andrew Pitt
Journal:  Nat Rev Cancer       Date:  2010-08-19       Impact factor: 60.716

3.  Temporal profiling and pulsed SILAC labeling identify novel secreted proteins during ex vivo osteoblast differentiation of human stromal stem cells.

Authors:  Lars P Kristensen; Li Chen; Maria Overbeck Nielsen; Diyako W Qanie; Irina Kratchmarova; Moustapha Kassem; Jens S Andersen
Journal:  Mol Cell Proteomics       Date:  2012-07-16       Impact factor: 5.911

4.  Research resource: New and diverse substrates for the insulin receptor isoform A revealed by quantitative proteomics after stimulation with IGF-II or insulin.

Authors:  Alaide Morcavallo; Marco Gaspari; Giuseppe Pandini; Angela Palummo; Giovanni Cuda; Martin R Larsen; Riccardo Vigneri; Antonino Belfiore
Journal:  Mol Endocrinol       Date:  2011-06-16

5.  Quantitative proteomics and transcriptomics addressing the estrogen receptor subtype-mediated effects in T47D breast cancer cells exposed to the phytoestrogen genistein.

Authors:  Ana M Sotoca; Maarten D Sollewijn Gelpke; Sjef Boeren; Anders Ström; Jan-Åke Gustafsson; Albertinka J Murk; Ivonne M C M Rietjens; Jacques Vervoort
Journal:  Mol Cell Proteomics       Date:  2010-09-30       Impact factor: 5.911

6.  Evaluation of the variation in sample preparation for comparative proteomics using stable isotope labeling by amino acids in cell culture.

Authors:  Guoan Zhang; David Fenyö; Thomas A Neubert
Journal:  J Proteome Res       Date:  2009-03       Impact factor: 4.466

7.  Screening for EphB signaling effectors using SILAC with a linear ion trap-orbitrap mass spectrometer.

Authors:  Guoan Zhang; David Fenyö; Thomas A Neubert
Journal:  J Proteome Res       Date:  2008-09-25       Impact factor: 4.466

8.  A genetic engineering solution to the "arginine conversion problem" in stable isotope labeling by amino acids in cell culture (SILAC).

Authors:  Claudia C Bicho; Flavia de Lima Alves; Zhuo A Chen; Juri Rappsilber; Kenneth E Sawin
Journal:  Mol Cell Proteomics       Date:  2010-05-10       Impact factor: 5.911

9.  Prevention of amino acid conversion in SILAC experiments with embryonic stem cells.

Authors:  Sean C Bendall; Chris Hughes; Morag H Stewart; Brad Doble; Mickie Bhatia; Gilles A Lajoie
Journal:  Mol Cell Proteomics       Date:  2008-05-16       Impact factor: 5.911

10.  Proline-rich sequence recognition: I. Marking GYF and WW domain assembly sites in early spliceosomal complexes.

Authors:  Michael Kofler; Michael Schuemann; Christian Merz; Daniela Kosslick; Andreas Schlundt; Astrid Tannert; Michael Schaefer; Reinhard Lührmann; Eberhard Krause; Christian Freund
Journal:  Mol Cell Proteomics       Date:  2009-05-30       Impact factor: 5.911

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