Literature DB >> 15107238

Standard mixtures for proteome studies.

Samuel Purvine1, Alex F Picone, Eugene Kolker.   

Abstract

Mixtures of moderate complexity were formed from 23 peptides and 12 proteins digested with trypsin, all individually characterized. These mixtures were analyzed with replicates in full and windowed m/z ranges using online high-performance reverse phase liquid chromatography coupled via electrospray ionization to an ion trap mass spectrometer. The resulting spectra were searched using SEQUEST against databases of different sizes and contents and confidences of the observed identifications were evaluated by our earlier statistical model. These data were then combined with biologically derived spectral data, searched, and further evaluated. All peptides but one and all proteins were identified with high confidence. Additionally, the presence and behavior of quadruply charged peptides was analyzed. The properties of the proposed peptide and protein mixtures as well as the performance of the statistical model were carefully investigated. These mixtures mimic the complexity seen in large-scale proteomics experiments, and are proposed to serve as quality assessment standards for future proteome studies.

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Year:  2004        PMID: 15107238     DOI: 10.1089/153623104773547507

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  15 in total

1.  Improved peptide elution time prediction for reversed-phase liquid chromatography-MS by incorporating peptide sequence information.

Authors:  Konstantinos Petritis; Lars J Kangas; Bo Yan; Matthew E Monroe; Eric F Strittmatter; Wei-Jun Qian; Joshua N Adkins; Ronald J Moore; Ying Xu; Mary S Lipton; David G Camp; Richard D Smith
Journal:  Anal Chem       Date:  2006-07-15       Impact factor: 6.986

2.  Bayesian nonparametric model for the validation of peptide identification in shotgun proteomics.

Authors:  Jiyang Zhang; Jie Ma; Lei Dou; Songfeng Wu; Xiaohong Qian; Hongwei Xie; Yunping Zhu; Fuchu He
Journal:  Mol Cell Proteomics       Date:  2008-11-12       Impact factor: 5.911

3.  MASIC: a software program for fast quantitation and flexible visualization of chromatographic profiles from detected LC-MS(/MS) features.

Authors:  Matthew E Monroe; Jason L Shaw; Don S Daly; Joshua N Adkins; Richard D Smith
Journal:  Comput Biol Chem       Date:  2008-02-26       Impact factor: 2.877

4.  Comparative proteogenomics: combining mass spectrometry and comparative genomics to analyze multiple genomes.

Authors:  Nitin Gupta; Jamal Benhamida; Vipul Bhargava; Daniel Goodman; Elisabeth Kain; Ian Kerman; Ngan Nguyen; Noah Ollikainen; Jesse Rodriguez; Jian Wang; Mary S Lipton; Margaret Romine; Vineet Bafna; Richard D Smith; Pavel A Pevzner
Journal:  Genome Res       Date:  2008-04-21       Impact factor: 9.043

Review 5.  Improving protein identification from tandem mass spectrometry data by one-step methods and integrating data from other platforms.

Authors:  Sinjini Sikdar; Ryan Gill; Susmita Datta
Journal:  Brief Bioinform       Date:  2015-07-03       Impact factor: 11.622

6.  Proteomics of Pyrococcus furiosus (Pfu): Identification of Extracted Proteins by Three Independent Methods.

Authors:  Catherine C L Wong; Daniel Cociorva; Christine A Miller; Alexander Schmidt; Craig Monell; Ruedi Aebersold; John R Yates
Journal:  J Proteome Res       Date:  2013-01-18       Impact factor: 4.466

7.  Global profiling of Shewanella oneidensis MR-1: expression of hypothetical genes and improved functional annotations.

Authors:  Eugene Kolker; Alex F Picone; Michael Y Galperin; Margaret F Romine; Roger Higdon; Kira S Makarova; Natali Kolker; Gordon A Anderson; Xiaoyun Qiu; Kenneth J Auberry; Gyorgy Babnigg; Alex S Beliaev; Paul Edlefsen; Dwayne A Elias; Yuri A Gorby; Ted Holzman; Joel A Klappenbach; Konstantinos T Konstantinidis; Miriam L Land; Mary S Lipton; Lee-Ann McCue; Matthew Monroe; Ljiljana Pasa-Tolic; Grigoriy Pinchuk; Samuel Purvine; Margrethe H Serres; Sasha Tsapin; Brian A Zakrajsek; Wenhong Zhu; Jizhong Zhou; Frank W Larimer; Charles E Lawrence; Monica Riley; Frank R Collart; John R Yates; Richard D Smith; Carol S Giometti; Kenneth H Nealson; James K Fredrickson; James M Tiedje
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-31       Impact factor: 11.205

8.  Design and initial characterization of the SC-200 proteomics standard mixture.

Authors:  Andrew Bauman; Roger Higdon; Sean Rapson; Brenton Loiue; Jason Hogan; Robin Stacy; Alberto Napuli; Wenjin Guo; Wesley van Voorhis; Jared Roach; Vincent Lu; Elizabeth Landorf; Elizabeth Stewart; Natali Kolker; Frank Collart; Peter Myler; Gerald van Belle; Eugene Kolker
Journal:  OMICS       Date:  2011-01-21

9.  Formation of iron complexes from trifluoroacetic acid based liquid chromatography mobile phases as interference ions in liquid chromatography/electrospray ionization mass spectrometric analysis.

Authors:  Anil Shukla; Rui Zhang; Daniel J Orton; Rui Zhao; Therese R W Clauss; Ronald Moore; Richard D Smith
Journal:  Rapid Commun Mass Spectrom       Date:  2011-05-30       Impact factor: 2.419

10.  The standard protein mix database: a diverse data set to assist in the production of improved Peptide and protein identification software tools.

Authors:  John Klimek; James S Eddes; Laura Hohmann; Jennifer Jackson; Amelia Peterson; Simon Letarte; Philip R Gafken; Jonathan E Katz; Parag Mallick; Hookeun Lee; Alexander Schmidt; Reto Ossola; Jimmy K Eng; Ruedi Aebersold; Daniel B Martin
Journal:  J Proteome Res       Date:  2007-08-21       Impact factor: 4.466

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