Literature DB >> 33950496

2nSILAC for Quantitative Proteomics of Prototrophic Baker's Yeast.

Stefan Dannenmaier1, Silke Oeljeklaus1,2, Bettina Warscheid3,4.   

Abstract

Stable isotope labeling by amino acids in cell culture (SILAC) combined with high-resolution mass spectrometry is a quantitative strategy for the comparative analysis of (sub)proteomes. It is based on the metabolic incorporation of stable isotope-coded amino acids during growth of cells or organisms. Here, complete labeling of proteins with the amino acid(s) selected for incorporation needs to be guaranteed to enable accurate quantification on a proteomic scale. Wild-type strains of baker's yeast (Saccharomyces cerevisiae ), which is a widely accepted and well-studied eukaryotic model organism, are generally able to synthesize all amino acids on their own (i.e., prototrophic). To render them amenable to SILAC, auxotrophies are introduced by genetic manipulations. We addressed this limitation by developing a generic strategy for complete "native" labeling of prototrophic S. cerevisiae with isotope-coded arginine and lysine, referred to as "2nSILAC". It allows for directly using and screening several genome-wide yeast mutant collections that are easily accessible to the scientific community for functional proteomic studies but are based on prototrophic variants of S. cerevisiae.

Entities:  

Keywords:  2nSILAC; Mass spectrometry; Mitochondria; Native SILAC; Prototroph; Quantitative proteome analysis; SILAC; Yeast

Year:  2021        PMID: 33950496     DOI: 10.1007/978-1-0716-1024-4_18

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


  32 in total

1.  SILAC for the study of mammalian cell lines and yeast protein complexes.

Authors:  Heike Piechura; Silke Oeljeklaus; Bettina Warscheid
Journal:  Methods Mol Biol       Date:  2012

Review 2.  Development and application of proteomics technologies in Saccharomyces cerevisiae.

Authors:  Annemieke Kolkman; Monique Slijper; Albert J R Heck
Journal:  Trends Biotechnol       Date:  2005-10-03       Impact factor: 19.536

3.  Preventing arginine-to-proline conversion in a cell-line-independent manner during cell cultivation under stable isotope labeling by amino acids in cell culture (SILAC) conditions.

Authors:  Christopher Lössner; Uwe Warnken; Armin Pscherer; Martina Schnölzer
Journal:  Anal Biochem       Date:  2011-01-15       Impact factor: 3.365

4.  [Rupture of the biceps tendon].

Authors:  J Cepuder
Journal:  Acta Chir Iugosl       Date:  1988

5.  Properties of 13C-substituted arginine in stable isotope labeling by amino acids in cell culture (SILAC).

Authors:  Shao-En Ong; Irina Kratchmarova; Matthias Mann
Journal:  J Proteome Res       Date:  2003 Mar-Apr       Impact factor: 4.466

6.  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

7.  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

8.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

9.  A computational approach to correct arginine-to-proline conversion in quantitative proteomics.

Authors:  Sung Kyu Park; Lujian Liao; Jin Young Kim; John R Yates
Journal:  Nat Methods       Date:  2009-03       Impact factor: 28.547

10.  Comparing SILAC- and stable isotope dimethyl-labeling approaches for quantitative proteomics.

Authors:  Ho-Tak Lau; Hyong Won Suh; Martin Golkowski; Shao-En Ong
Journal:  J Proteome Res       Date:  2014-08-12       Impact factor: 4.466

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