Literature DB >> 19140678

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

Guoan Zhang1, David Fenyö, Thomas A Neubert.   

Abstract

In comparative proteomic studies, it is important to know the variability associated with sample preparation. In this study, we report the strategy of using SILAC (stable isotope labeling by amino acids in cell culture) to evaluate the effect of the variation in sample preparation for quantitative proteomics. Variability can be measured when equal amounts of light and heavy SILAC samples undergo the same sample preparation procedures in parallel, and the two samples are mixed for relative protein quantitation by mass spectrometry. The high quantitative accuracy of SILAC allows for characterization of small variations. First, the reproducibility of immunoprecipitation (IP) and in-gel digestion was evaluated, and the impact of replicate number on quantitative accuracy was characterized. Second, we evaluated the overall variation in a comparative workflow involving three sequential sample preparation steps: IP, SDS-PAGE fractionation, and in-gel digestion. The evaluation of individual sample preparation steps was very valuable for experimental design: the optimal number of replicates for each step could be readily determined and the overall variation of the workflow could be predicted from the variation of the individual steps involved. By using informed experimental design, we demonstrated that the error associated with multiple steps of sample preparation in a comparative experiment can be limited to a reasonably low level.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19140678      PMCID: PMC2693445          DOI: 10.1021/pr8006107

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  26 in total

1.  Accurate quantitation of protein expression and site-specific phosphorylation.

Authors:  Y Oda; K Huang; F R Cross; D Cowburn; B T Chait
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-08       Impact factor: 11.205

2.  Quantification of proteins and metabolites by mass spectrometry without isotopic labeling or spiked standards.

Authors:  Weixun Wang; Haihong Zhou; Hua Lin; Sushmita Roy; Thomas A Shaler; Lander R Hill; Scott Norton; Praveen Kumar; Markus Anderle; Christopher H Becker
Journal:  Anal Chem       Date:  2003-09-15       Impact factor: 6.986

3.  Differential mass spectrometry: a label-free LC-MS method for finding significant differences in complex peptide and protein mixtures.

Authors:  Matthew C Wiener; Jeffrey R Sachs; Ekaterina G Deyanova; Nathan A Yates
Journal:  Anal Chem       Date:  2004-10-15       Impact factor: 6.986

4.  Mass spectrometric sequencing of proteins silver-stained polyacrylamide gels.

Authors:  A Shevchenko; M Wilm; O Vorm; M Mann
Journal:  Anal Chem       Date:  1996-03-01       Impact factor: 6.986

5.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.

Authors:  S P Gygi; B Rist; S A Gerber; F Turecek; M H Gelb; R Aebersold
Journal:  Nat Biotechnol       Date:  1999-10       Impact factor: 54.908

6.  Mechanism of inhibition of protein-tyrosine phosphatases by vanadate and pervanadate.

Authors:  G Huyer; S Liu; J Kelly; J Moffat; P Payette; B Kennedy; G Tsaprailis; M J Gresser; C Ramachandran
Journal:  J Biol Chem       Date:  1997-01-10       Impact factor: 5.157

7.  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

8.  Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics.

Authors:  Blagoy Blagoev; Shao-En Ong; Irina Kratchmarova; Matthias Mann
Journal:  Nat Biotechnol       Date:  2004-08-15       Impact factor: 54.908

9.  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

10.  Use of DNA ladders for reproducible protein fractionation by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) for quantitative proteomics.

Authors:  Guoan Zhang; David Fenyö; Thomas A Neubert
Journal:  J Proteome Res       Date:  2008-01-12       Impact factor: 4.466

View more
  10 in total

1.  Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling.

Authors:  Fang-Ke Huang; Guoan Zhang; Kevin Lawlor; Arpi Nazarian; John Philip; Paul Tempst; Noah Dephoure; Thomas A Neubert
Journal:  J Proteome Res       Date:  2017-02-03       Impact factor: 4.466

2.  Protein quantitation using mass spectrometry.

Authors:  Guoan Zhang; Beatrix M Ueberheide; Sofia Waldemarson; Sunnie Myung; Kelly Molloy; Jan Eriksson; Brian T Chait; Thomas A Neubert; David Fenyö
Journal:  Methods Mol Biol       Date:  2010

3.  Sensing Small Changes in Protein Abundance: Stimulation of Caco-2 Cells by Human Whey Proteins.

Authors:  Judy K Cundiff; Elizabeth J McConnell; Kimberly J Lohe; Sarah D Maria; Robert J McMahon; Qiang Zhang
Journal:  J Proteome Res       Date:  2015-12-15       Impact factor: 4.466

4.  Application of quantitative proteomics to the integrated analysis of the ubiquitylated and global proteomes of xenograft tumor tissues.

Authors:  Stefani N Thomas; Hui Zhang; Robert J Cotter
Journal:  Clin Proteomics       Date:  2015-05-20       Impact factor: 3.988

5.  The effects of IFITM1 and IFITM3 gene deletion on IFNγ stimulated protein synthesis.

Authors:  Maria Gómez-Herranz; Marta Nekulova; Jakub Faktor; Lenka Hernychova; Sachin Kote; Elizabeth H Sinclair; Rudolf Nenutil; Borivoj Vojtesek; Kathryn L Ball; Ted R Hupp
Journal:  Cell Signal       Date:  2019-04-02       Impact factor: 4.315

6.  Noise Exposures Causing Hearing Loss Generate Proteotoxic Stress and Activate the Proteostasis Network.

Authors:  Nopporn Jongkamonwiwat; Miguel A Ramirez; Seby Edassery; Ann C Y Wong; Jintao Yu; Tirzah Abbott; Kwang Pak; Allen F Ryan; Jeffrey N Savas
Journal:  Cell Rep       Date:  2020-11-24       Impact factor: 9.423

7.  Profound changes in cerebrospinal fluid proteome and metabolic profile are associated with congenital hydrocephalus.

Authors:  Alicia Requena-Jimenez; Mohammad Nabiuni; Jaleel A Miyan
Journal:  J Cereb Blood Flow Metab       Date:  2021-08-20       Impact factor: 6.200

8.  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

9.  Deducing the presence of proteins and proteoforms in quantitative proteomics.

Authors:  Casimir Bamberger; Salvador Martínez-Bartolomé; Miranda Montgomery; Sandra Pankow; John D Hulleman; Jeffery W Kelly; John R Yates
Journal:  Nat Commun       Date:  2018-06-13       Impact factor: 14.919

10.  Minimal deuterium isotope effects in quantitation of dimethyl-labeled complex proteomes analyzed with capillary zone electrophoresis/mass spectrometry.

Authors:  Xiaojing Yan; Liangliang Sun; Norman J Dovichi; Matthew M Champion
Journal:  Electrophoresis       Date:  2020-06-16       Impact factor: 3.535

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.