Literature DB >> 15852344

Comprehensive proteomics in yeast using chromatographic fractionation, gas phase fractionation, protein gel electrophoresis, and isoelectric focusing.

Linda Breci1, Emily Hattrup, Matthew Keeler, Jessica Letarte, Roxanne Johnson, Paul A Haynes.   

Abstract

We have investigated the use of a variety of different techniques to identify as many proteins as possible in a yeast lysate, with the aim of investigating the overlap and complementarity of data from different approaches. A standard lysate was prepared from log phase yeast (Saccharomyces cerevisiae). This was then subjected to analysis via five different approaches aimed at identifying as many proteins as possible using an ion trap mass spectrometer. The total number of non-redundant protein identifications from each experiment was: 524 proteins by 2-D (SCX/C18) nanoflow liquid chromatography-liquid chromatography tandem mass spectrometry (nanoLC-LC MS/MS (MudPIT)); 381 proteins by nanoLC-MS/MS with gas phase fractionation by mass range selection; 390 proteins by nanoLC-MS/MS with gas phase fractionation by ion abundance selection; 898 proteins by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) separation of proteins, in-gel digestion, and nanoLC-MS/MS of gel slices; and 422 proteins by isoelectric focusing of proteins, in-gel digestion and nanoLC-MS/MS of gel slices. The total number of non-redundant protein identifications in the five experiments was 1204. Combining only the two best experiments, the SDS-PAGE gel slices and the Mudpit, produces 1024 proteins identified, more than 85% of the total. Clearly, combining a Mudpit analysis with an SDS-PAGE gel slice experiment gives the greatest amount of protein identification information from a limited amount of sample.

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Year:  2005        PMID: 15852344     DOI: 10.1002/pmic.200401103

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  31 in total

1.  Combining isoelectric point-based fractionation, liquid chromatography and mass spectrometry to improve peptide detection and protein identification.

Authors:  Stephanie M Cologna; William K Russell; Peniel J Lim; Gyula Vigh; David H Russell
Journal:  J Am Soc Mass Spectrom       Date:  2010-04-24       Impact factor: 3.109

2.  Meta-analysis for protein identification: a case study on yeast data.

Authors:  Roger Higdon; Winston Haynes; Eugene Kolker
Journal:  OMICS       Date:  2010-06

3.  Combining low and high mass ion accumulation for enhancing shotgun proteome analysis by accurate mass measurement.

Authors:  Richard L Wong; I Jonathan Amster
Journal:  J Am Soc Mass Spectrom       Date:  2006-01-18       Impact factor: 3.109

4.  Clustering millions of tandem mass spectra.

Authors:  Ari M Frank; Nuno Bandeira; Zhouxin Shen; Stephen Tanner; Steven P Briggs; Richard D Smith; Pavel A Pevzner
Journal:  J Proteome Res       Date:  2007-12-08       Impact factor: 4.466

5.  Functional specialization of beta-arrestin interactions revealed by proteomic analysis.

Authors:  Kunhong Xiao; Daniel B McClatchy; Arun K Shukla; Yang Zhao; Minyong Chen; Sudha K Shenoy; John R Yates; Robert J Lefkowitz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-09       Impact factor: 11.205

6.  A systematic evaluation of chip-based nanoelectrospray parameters for rapid identification of proteins from a complex mixture.

Authors:  Ana Gabriela Pereira-Medrano; Alistair Sterling; Ambrosius P L Snijders; Kenneth F Reardon; Phillip C Wright
Journal:  J Am Soc Mass Spectrom       Date:  2007-06-30       Impact factor: 3.109

7.  Proteomic studies in biomedically and industrially relevant fungi.

Authors:  Stephen Carberry; Sean Doyle
Journal:  Cytotechnology       Date:  2007-02-17       Impact factor: 2.058

8.  Enhanced Lipidome Coverage in Shotgun Analyses by using Gas-Phase Fractionation.

Authors:  Milad Nazari; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-25       Impact factor: 3.109

9.  Evolution of Cinnamate/p-coumarate carboxyl methyltransferases and their role in the biosynthesis of methylcinnamate.

Authors:  Jeremy Kapteyn; Anthony V Qualley; Zhengzhi Xie; Eyal Fridman; Natalia Dudareva; David R Gang
Journal:  Plant Cell       Date:  2007-10-19       Impact factor: 11.277

10.  Transcript and protein profiling identify candidate gene sets of potential adaptive significance in New Zealand Pachycladon.

Authors:  Claudia Voelckel; Mehdi Mirzaei; Michael Reichelt; Zhiwei Luo; Dana Pascovici; Peter B Heenan; Silvia Schmidt; Bart Janssen; Paul A Haynes; Peter J Lockhart
Journal:  BMC Evol Biol       Date:  2010-05-20       Impact factor: 3.260

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