Literature DB >> 21241653

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.

Christopher Lössner1, Uwe Warnken, Armin Pscherer, Martina Schnölzer.   

Abstract

Quantitative proteomics has increasingly gained impact in life science research as a tool to describe changes in protein expression between different cellular states. Stable isotope labeling by amino acids in cell culture (SILAC) is a powerful technique for relative quantification of proteins. However, the accuracy of quantification is impaired by the metabolic conversion of arginine to proline resulting in additional heavy labeled proline peptide satellites. Here we reinvestigated the addition of unlabeled proline during cell cultivation under SILAC conditions considering several thousand peptides and demonstrated that the arginine-to-proline conversion is prevented independent of the cell line used.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21241653     DOI: 10.1016/j.ab.2011.01.011

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  12 in total

1.  Ubiquitin ligase substrate identification through quantitative proteomics at both the protein and peptide levels.

Authors:  Kimberly A Lee; Lisa P Hammerle; Paul S Andrews; Matthew P Stokes; Tomas Mustelin; Jeffrey C Silva; Roy A Black; John R Doedens
Journal:  J Biol Chem       Date:  2011-10-10       Impact factor: 5.157

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

Authors:  Stefan Dannenmaier; Silke Oeljeklaus; Bettina Warscheid
Journal:  Methods Mol Biol       Date:  2021

3.  Deciphering the Acute Cellular Phosphoproteome Response to Irradiation with X-rays, Protons and Carbon Ions.

Authors:  Martin Winter; Ivana Dokic; Julian Schlegel; Uwe Warnken; Jürgen Debus; Amir Abdollahi; Martina Schnölzer
Journal:  Mol Cell Proteomics       Date:  2017-03-16       Impact factor: 5.911

4.  Quantitative proteomics identify novel miR-155 target proteins.

Authors:  Christopher Lössner; Jan Meier; Uwe Warnken; Michael A Rogers; Peter Lichter; Armin Pscherer; Martina Schnölzer
Journal:  PLoS One       Date:  2011-07-25       Impact factor: 3.240

5.  (Phospho)proteomic Profiling of Microsatellite Unstable CRC Cells Reveals Alterations in Nuclear Signaling and Cholesterol Metabolism Caused by Frameshift Mutation of NMD Regulator UPF3A.

Authors:  Malwina Michalak; Eva-Maria Katzenmaier; Nina Roeckel; Stefan M Woerner; Vera Fuchs; Uwe Warnken; Yan P Yuan; Peer Bork; Gabriele Neu-Yilik; Andreas Kulozik; Magnus von Knebel Doeberitz; Matthias Kloor; Jürgen Kopitz; Johannes Gebert
Journal:  Int J Mol Sci       Date:  2020-07-23       Impact factor: 5.923

6.  REX1 is the critical target of RNF12 in imprinted X chromosome inactivation in mice.

Authors:  Cristina Gontan; Hegias Mira-Bontenbal; Aristea Magaraki; Catherine Dupont; Tahsin Stefan Barakat; Eveline Rentmeester; Jeroen Demmers; Joost Gribnau
Journal:  Nat Commun       Date:  2018-11-12       Impact factor: 14.919

7.  Rab18 binds to hepatitis C virus NS5A and promotes interaction between sites of viral replication and lipid droplets.

Authors:  Shadi Salloum; Hongliang Wang; Charles Ferguson; Robert G Parton; Andrew W Tai
Journal:  PLoS Pathog       Date:  2013-08-01       Impact factor: 6.823

8.  Impact of microRNA-130a on the neutrophil proteome.

Authors:  Corinna Cavan Pedersen; Jan Christian Refsgaard; Ole Østergaard; Lars Juhl Jensen; Niels Henrik Helweg Heegaard; Niels Borregaard; Jack Bernard Cowland
Journal:  BMC Immunol       Date:  2015-11-25       Impact factor: 3.615

Review 9.  Proteomic discovery of host kinase signaling in bacterial infections.

Authors:  Erik Richter; Jörg Mostertz; Falko Hochgräfe
Journal:  Proteomics Clin Appl       Date:  2016-09-09       Impact factor: 3.494

10.  A Novel Glycoproteomics Workflow Reveals Dynamic O-GlcNAcylation of COPγ1 as a Candidate Regulator of Protein Trafficking.

Authors:  Nathan J Cox; Peter M Luo; Timothy J Smith; Brittany J Bisnett; Erik J Soderblom; Michael Boyce
Journal:  Front Endocrinol (Lausanne)       Date:  2018-10-15       Impact factor: 5.555

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