Literature DB >> 25855955

One-hour proteome analysis in yeast.

Alicia L Richards1, Alexander S Hebert2, Arne Ulbrich1, Derek J Bailey1, Emma E Coughlin3, Michael S Westphall3, Joshua J Coon4.   

Abstract

Recent advances in chromatography and mass spectrometry (MS) have made rapid and deep proteomic profiling possible. To maximize the performance of the recently produced Orbitrap hybrid mass spectrometer, we have developed a protocol that combines improved sample preparation (including optimized cellular lysis by extensive bead beating) and chromatographic conditions (specifically, 30-cm capillary columns packed with 1.7-μm bridged ethylene hybrid material) and the manufacture of a column heater (to accommodate flow rates of 350-375 nl/min) that increases the number of proteins identified across a single liquid chromatography-tandem MS (LC-MS/MS) separation, thereby reducing the need for extensive sample fractionation. This strategy allowed the identification of up to 4,002 proteins (at a 1% false discovery rate (FDR)) in yeast (Saccharomyces cerevisiae strain BY4741) over 70 min of LC-MS/MS analysis. Quintuplicate analysis of technical replicates reveals 83% overlap at the protein level, thus demonstrating the reproducibility of this procedure. This protocol, which includes cell lysis, overnight tryptic digestion, sample analysis and database searching, takes ∼24 h to complete. Aspects of this protocol, including chromatographic separation and instrument parameters, can be adapted for the optimal analysis of other organisms.

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Year:  2015        PMID: 25855955      PMCID: PMC6434932          DOI: 10.1038/nprot.2015.040

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  18 in total

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2.  Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast.

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10.  The one hour yeast proteome.

Authors:  Alexander S Hebert; Alicia L Richards; Derek J Bailey; Arne Ulbrich; Emma E Coughlin; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2013-10-19       Impact factor: 5.911

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