Literature DB >> 16635985

Optimization and use of peptide mass measurement accuracy in shotgun proteomics.

Wilhelm Haas1, Brendan K Faherty, Scott A Gerber, Joshua E Elias, Sean A Beausoleil, Corey E Bakalarski, Xue Li, Judit Villén, Steven P Gygi.   

Abstract

Mass spectrometers that provide high mass accuracy such as FT-ICR instruments are increasingly used in proteomic studies. Although the importance of accurately determined molecular masses for the identification of biomolecules is generally accepted, its role in the analysis of shotgun proteomic data has not been thoroughly studied. To gain insight into this role, we used a hybrid linear quadrupole ion trap/FT-ICR (LTQ FT) mass spectrometer for LC-MS/MS analysis of a highly complex peptide mixture derived from a fraction of the yeast proteome. We applied three data-dependent MS/MS acquisition methods. The FT-ICR part of the hybrid mass spectrometer was either not exploited, used only for survey MS scans, or also used for acquiring selected ion monitoring scans to optimize mass accuracy. MS/MS data were assigned with the SEQUEST algorithm, and peptide identifications were validated by estimating the number of incorrect assignments using the composite target/decoy database search strategy. We developed a simple mass calibration strategy exploiting polydimethylcyclosiloxane background ions as calibrant ions. This strategy allowed us to substantially improve mass accuracy without reducing the number of MS/MS spectra acquired in an LC-MS/MS run. The benefits of high mass accuracy were greatest for assigning MS/MS spectra with low signal-to-noise ratios and for assigning phosphopeptides. Confident peptide identification rates from these data sets could be doubled by the use of mass accuracy information. It was also shown that improving mass accuracy at a cost to the MS/MS acquisition rate substantially lowered the sensitivity of LC-MS/MS analyses. The use of FT-ICR selected ion monitoring scans to maximize mass accuracy reduced the number of protein identifications by 40%.

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Year:  2006        PMID: 16635985     DOI: 10.1074/mcp.M500339-MCP200

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


  144 in total

1.  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

2.  Tempest: GPU-CPU computing for high-throughput database spectral matching.

Authors:  Jeffrey A Milloy; Brendan K Faherty; Scott A Gerber
Journal:  J Proteome Res       Date:  2012-06-08       Impact factor: 4.466

3.  BH3-triggered structural reorganization drives the activation of proapoptotic BAX.

Authors:  Evripidis Gavathiotis; Denis E Reyna; Marguerite L Davis; Gregory H Bird; Loren D Walensky
Journal:  Mol Cell       Date:  2010-11-12       Impact factor: 17.970

4.  Cold Temperature Induces the Reprogramming of Proteolytic Pathways in Yeast.

Authors:  Marta Isasa; Clara Suñer; Miguel Díaz; Pilar Puig-Sàrries; Alice Zuin; Anne Bichman; Steven P Gygi; Elena Rebollo; Bernat Crosas
Journal:  J Biol Chem       Date:  2015-11-24       Impact factor: 5.157

5.  Proteomic analysis of excretory secretory products from Clonorchis sinensis adult worms: molecular characterization and serological reactivity of a excretory-secretory antigen-fructose-1,6-bisphosphatase.

Authors:  Minghui Zheng; Kunhua Hu; Wei Liu; Xuchu Hu; Fengyu Hu; Lisi Huang; Peng Wang; Yue Hu; Yan Huang; Wenfang Li; Chi Liang; Xingfeng Yin; Qingyu He; Xinbing Yu
Journal:  Parasitol Res       Date:  2011-03-22       Impact factor: 2.289

6.  Large-scale phosphorylation analysis of mouse liver.

Authors:  Judit Villén; Sean A Beausoleil; Scott A Gerber; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-22       Impact factor: 11.205

7.  A high-confidence interaction map identifies SIRT1 as a mediator of acetylation of USP22 and the SAGA coactivator complex.

Authors:  Sean M Armour; Eric J Bennett; Craig R Braun; Xiao-Yong Zhang; Steven B McMahon; Steven P Gygi; J Wade Harper; David A Sinclair
Journal:  Mol Cell Biol       Date:  2013-02-04       Impact factor: 4.272

8.  MassMatrix: a database search program for rapid characterization of proteins and peptides from tandem mass spectrometry data.

Authors:  Hua Xu; Michael A Freitas
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

9.  Activity-based mass spectrometric characterization of proteases and inhibitors in human saliva.

Authors:  Xiuli Sun; Erdjan Salih; Frank G Oppenheim; Eva J Helmerhorst
Journal:  Proteomics Clin Appl       Date:  2009-07-01       Impact factor: 3.494

10.  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

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