Literature DB >> 12298092

Approaching complete peroxisome characterization by gas-phase fractionation.

Eugene C Yi1, Marcello Marelli, Hookeun Lee, Samuel O Purvine, Ruedi Aebersold, John D Aitchison, David R Goodlett.   

Abstract

We examined the utility of gas-phase fractionation (GPF) in the m/z dimension to increase proteome coverage and reproducibility of peptide ion selection by direct microliquid chromatography/electrospray ionization-tandem mass spectrometry (microLC/ESI-MS/MS) analysis of the peptides produced by proteolytic digestion of unfractionated proteins from a yeast whole-cell lysate and in a peroxisomal membrane protein fraction derived from isolated yeast peroxisomes. We also investigated GPF in the relative ion intensity dimension and propose denoting the two types of GPF as GPF(m/z) and GPF(RI). Comparison of results of direct nuLC/ESI-MS/MS analysis of the unfractionated mixture of peptides from proteolysis of a yeast whole cell lysate by DD ion selection from 400-1800 m/z in triplicate and GPF(m/z) from 400-800, 800-1200 and 1200-1800 produced the following results: (i) 1.3 x more proteins were identified by GPF(m/z) for an equal amount of effort (i.e., 3 microLC/ESI-MS/MS) and (ii) proteins identified by GPF(m/z) had a lower average codon bias value. Use of GPF(RI) identified more proteins per m/z unit scanned than GPF(m/z) or triplicate analysis over a wide m/z range. After tryptic digestion of all the proteins from a discontinuous Nycodenz gradient fraction known to be enriched with yeast peroxisomal membrane proteins we detected 93% (38/41) of known peroxisomal proteins using GPF(m/z), but only 73% using a standard wide m/z range survey scan.

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Year:  2002        PMID: 12298092     DOI: 10.1002/1522-2683(200209)23:18<3205::AID-ELPS3205>3.0.CO;2-Y

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  60 in total

1.  Data-independent proteomic screen identifies novel tamoxifen agonist that mediates drug resistance.

Authors:  Shawna Mae Hengel; Euan Murray; Simon Langdon; Larry Hayward; Jean O'Donoghue; Alexandre Panchaud; Ted Hupp; David R Goodlett
Journal:  J Proteome Res       Date:  2011-09-21       Impact factor: 4.466

2.  Quantitative proteomic analysis of chromatin-associated factors.

Authors:  Yuzuru Shiio; Robert N Eisenman; Eugene C Yi; Sam Donohoe; David R Goodlett; Ruedi Aebersold
Journal:  J Am Soc Mass Spectrom       Date:  2003-07       Impact factor: 3.109

3.  Nanospray FAIMS fractionation provides significant increases in proteome coverage of unfractionated complex protein digests.

Authors:  Kristian E Swearingen; Michael R Hoopmann; Richard S Johnson; Ramsey A Saleem; John D Aitchison; Robert L Moritz
Journal:  Mol Cell Proteomics       Date:  2011-12-20       Impact factor: 5.911

4.  Systematic comparison of a two-dimensional ion trap and a three-dimensional ion trap mass spectrometer in proteomics.

Authors:  Viveka Mayya; Karim Rezaul; Yu-Sheng Cong; David Han
Journal:  Mol Cell Proteomics       Date:  2004-12-17       Impact factor: 5.911

5.  Simultaneous quantification and identification using 18O labeling with an ion trap mass spectrometer and the analysis software application "ZoomQuant".

Authors:  Wayne A Hicks; Brian D Halligan; Ronit Y Slyper; Simon N Twigger; Andrew S Greene; Michael Olivier
Journal:  J Am Soc Mass Spectrom       Date:  2005-04-15       Impact factor: 3.109

Review 6.  Proteomics of the peroxisome.

Authors:  R A Saleem; J J Smith; J D Aitchison
Journal:  Biochim Biophys Acta       Date:  2006-09-12

Review 7.  A Review on Quantitative Multiplexed Proteomics.

Authors:  Nishant Pappireddi; Lance Martin; Martin Wühr
Journal:  Chembiochem       Date:  2019-04-18       Impact factor: 3.164

8.  Proteomic analysis of Pseudomonas aeruginosa grown under magnesium limitation.

Authors:  Tina Guina; Manhong Wu; Samuel I Miller; Samuel O Purvine; Eugene C Yi; Jimmy Eng; David R Goodlett; Ruedi Aebersold; Robert K Ernst; Kimberly A Lee
Journal:  J Am Soc Mass Spectrom       Date:  2003-07       Impact factor: 3.109

9.  Mass-biased partitioning to enhance middle down proteomics analysis.

Authors:  Joe R Cannon; Nathan J Edwards; Catherine Fenselau
Journal:  J Mass Spectrom       Date:  2013-03       Impact factor: 1.982

Review 10.  Proteomics of Saccharomyces cerevisiae Organelles.

Authors:  Elena Wiederhold; Liesbeth M Veenhoff; Bert Poolman; Dirk Jan Slotboom
Journal:  Mol Cell Proteomics       Date:  2009-12-01       Impact factor: 5.911

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