Literature DB >> 17164402

On the proper use of mass accuracy in proteomics.

Roman Zubarev1, Matthias Mann.   

Abstract

Mass measurement is the main outcome of mass spectrometry-based proteomics yet the potential of recent advances in accurate mass measurements remains largely unexploited. There is not even a clear definition of mass accuracy in the proteomics literature, and we identify at least three uses of this term: anecdotal mass accuracy, statistical mass accuracy, and the maximum mass deviation (MMD) allowed in a database search. We suggest using the second of these terms as the generic one. To make the best use of the mass precision offered by modern instruments we propose a series of simple steps involving recalibration of the data on "internal standards" contained in every proteomics data set. Each data set should be accompanied by a plot of mass errors from which the appropriate MMD can be chosen. More advanced uses of high mass accuracy include an MMD that depends on the signal abundance of each peptide. Adapting search engines to high mass accuracy in the MS/MS data is also a high priority. Proper use of high mass accuracy data can make MS-based proteomics one of the most "digital" and accurate post-genomics disciplines.

Mesh:

Year:  2006        PMID: 17164402     DOI: 10.1074/mcp.M600380-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  53 in total

1.  Accurate mass measurement: terminology and treatment of data.

Authors:  A Gareth Brenton; A Ruth Godfrey
Journal:  J Am Soc Mass Spectrom       Date:  2010-06-19       Impact factor: 3.109

2.  Calibration function for the Orbitrap FTMS accounting for the space charge effect.

Authors:  Mikhail V Gorshkov; David M Good; Yaroslav Lyutvinskiy; Hongqian Yang; Roman A Zubarev
Journal:  J Am Soc Mass Spectrom       Date:  2010-07-07       Impact factor: 3.109

Review 3.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

4.  Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum.

Authors:  Huan Wang; Hsin-Yao Tang; Glenn C Tan; David W Speicher
Journal:  J Proteome Res       Date:  2011-10-18       Impact factor: 4.466

5.  Comparison of modification sites formed on human serum albumin at various stages of glycation.

Authors:  Omar S Barnaby; Ronald L Cerny; William Clarke; David S Hage
Journal:  Clin Chim Acta       Date:  2010-10-27       Impact factor: 3.786

Review 6.  Accurate mass measurements in proteomics.

Authors:  Tao Liu; Mikhail E Belov; Navdeep Jaitly; Wei-Jun Qian; Richard D Smith
Journal:  Chem Rev       Date:  2007-07-25       Impact factor: 60.622

7.  Systematic characterization of high mass accuracy influence on false discovery and probability scoring in peptide mass fingerprinting.

Authors:  Eric D Dodds; Brian H Clowers; Paul J Hagerman; Carlito B Lebrilla
Journal:  Anal Biochem       Date:  2007-10-11       Impact factor: 3.365

8.  Hyperglycemia alters the schwann cell mitochondrial proteome and decreases coupled respiration in the absence of superoxide production.

Authors:  Liang Zhang; Cuijuan Yu; Francisco E Vasquez; Nadya Galeva; Isaac Onyango; Russell H Swerdlow; Rick T Dobrowsky
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

9.  Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instruments.

Authors:  Aleksey V Tolmachev; Matthew E Monroe; Samuel O Purvine; Ronald J Moore; Navdeep Jaitly; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  Anal Chem       Date:  2008-10-15       Impact factor: 6.986

10.  Mechanisms of human adenovirus inactivation by sunlight and UVC light as examined by quantitative PCR and quantitative proteomics.

Authors:  Franziska Bosshard; Florence Armand; Romain Hamelin; Tamar Kohn
Journal:  Appl Environ Microbiol       Date:  2012-12-14       Impact factor: 4.792

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