Literature DB >> 18369856

Stable isotope labeling by amino acids in cell culture (SILAC).

S Gruhler1, Irina Kratchmarova.   

Abstract

Quantitative proteomics has become a pivotal tool that has been applied to the investigation of many different biological processes such diverse as the detection of biomarkers in tissue samples, the regulation of cell signaling, and the characterization of protein interactions. Stable isotope labeling techniques have facilitated the precise quantitation of changes in protein abundance by mass spectrometry. Among different choices, Stable Isotope Labeling by Amino acids in Cell culture (SILAC) is an easy and reliable method for unbiased comparative proteomic experiments, which has been employed to study post-translational modifications such as protein phosphorylation and methylation, to characterize signaling pathways and to determine specific protein interactions. Here we describe detailed procedures for SILAC experiments in mammalian and yeast cells.

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Year:  2008        PMID: 18369856     DOI: 10.1007/978-1-60327-064-9_9

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


  12 in total

1.  ProteoMirExpress: inferring microRNA and protein-centered regulatory networks from high-throughput proteomic and mRNA expression data.

Authors:  Jing Qin; Mulin Jun Li; Panwen Wang; Nai Sum Wong; Maria P Wong; Zhengyuan Xia; George S W Tsao; Michael Q Zhang; Junwen Wang
Journal:  Mol Cell Proteomics       Date:  2013-08-07       Impact factor: 5.911

2.  The molecular aetiology of tRNA synthetase depletion: induction of a GCN4 amino acid starvation response despite homeostatic maintenance of charged tRNA levels.

Authors:  Matthew R McFarland; Corina D Keller; Brandon M Childers; Stephen A Adeniyi; Holly Corrigall; Adélaïde Raguin; M Carmen Romano; Ian Stansfield
Journal:  Nucleic Acids Res       Date:  2020-04-06       Impact factor: 16.971

3.  Quantitative analysis of the secretome of TGF-beta signaling-deficient mammary fibroblasts.

Authors:  Baogang J Xu; Wenwei Yan; Bojana Jovanovic; Angel Q An; Nikki Cheng; Mary E Aakre; Yajun Yi; Jimmy Eng; Andrew J Link; Harold L Moses
Journal:  Proteomics       Date:  2010-07       Impact factor: 3.984

4.  Profiling pancreatic cancer-secreted proteome using 15N amino acids and serum-free media.

Authors:  Jing Xiao; Wai-Nang Paul Lee; Yingchun Zhao; Rui Cao; Vay Liang W Go; Robert R Recker; Qi Wang; Gary Guishan Xiao
Journal:  Pancreas       Date:  2010-01       Impact factor: 3.327

Review 5.  Applications of proteomics in the study of inflammatory bowel diseases: Current status and future directions with available technologies.

Authors:  Philip Alex; Marjan Gucek; Xuhang Li
Journal:  Inflamm Bowel Dis       Date:  2009-04       Impact factor: 5.325

6.  Isotopic ratio outlier analysis global metabolomics of Caenorhabditis elegans.

Authors:  Gregory S Stupp; Chaevien S Clendinen; Ramadan Ajredini; Mark A Szewc; Timothy Garrett; Robert F Menger; Richard A Yost; Chris Beecher; Arthur S Edison
Journal:  Anal Chem       Date:  2013-12-04       Impact factor: 6.986

7.  Technical phosphoproteomic and bioinformatic tools useful in cancer research.

Authors:  Paulino Gómez-Puertas; Sarbelio Rodríguez Muñoz; Elena López; Jan-Jaap Wesselink; Isabel López; Jesús Mendieta
Journal:  J Clin Bioinforma       Date:  2011-10-03

8.  Clinical and technical phosphoproteomic research.

Authors:  Elena López; Isabel López; Antonio Ferreira; Julia Sequí
Journal:  Proteome Sci       Date:  2011-06-02       Impact factor: 2.480

9.  Stable isotope metabolic labeling with a novel N-enriched bacteria diet for improved proteomic analyses of mouse models for psychopathologies.

Authors:  Elisabeth Frank; Melanie S Kessler; Michaela D Filiou; Yaoyang Zhang; Giuseppina Maccarrone; Stefan Reckow; Mirjam Bunck; Hermann Heumann; Christoph W Turck; Rainer Landgraf; Boris Hambsch
Journal:  PLoS One       Date:  2009-11-13       Impact factor: 3.240

Review 10.  Phosphoproteomics and lung cancer research.

Authors:  Elena López; William C S Cho
Journal:  Int J Mol Sci       Date:  2012-09-26       Impact factor: 5.923

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