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Journal ArticleDOI

Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome.

TLDR
The combination of strong cation exchange (SCX) and reversed-phase (RP) chromatography to achieve two-dimensional separation prior to MS/MS and 1,504 yeast proteins were unambiguously identified in this single analysis.
Abstract
Highly complex protein mixtures can be directly analyzed after proteolysis by liquid chromatography coupled with tandem mass spectrometry (LC−MS/MS). In this paper, we have utilized the combination of strong cation exchange (SCX) and reversed-phase (RP) chromatography to achieve two-dimensional separation prior to MS/MS. One milligram of whole yeast protein was proteolyzed and separated by SCX chromatography (2.1 mm i.d.) with fraction collection every minute during an 80-min elution. Eighty fractions were reduced in volume and then re-injected via an autosampler in an automated fashion using a vented-column (100 μm i.d.) approach for RP-LC−MS/MS analysis. More than 162 000 MS/MS spectra were collected with 26 815 matched to yeast peptides (7537 unique peptides). A total of 1504 yeast proteins were unambiguously identified in this single analysis. We present a comparison of this experiment with a previously published yeast proteome analysis by Yates and colleagues (Washburn, M. P.; Wolters, D.; Yates, J. ...

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Citations
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Journal ArticleDOI

Mass spectrometry-based proteomics

TL;DR: The ability of mass spectrometry to identify and, increasingly, to precisely quantify thousands of proteins from complex samples can be expected to impact broadly on biology and medicine.
Journal ArticleDOI

Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry

TL;DR: This work clarifies the preferred methodology by addressing four issues based on observed decoy hit frequencies: the major assumptions made with this database search strategy are reasonable, concatenated target-decoy database searches are preferable to separate target and decoydatabase searches, and the theoretical error associated with target-Decoy false positive (FP) rate measurements can be estimated.
Journal ArticleDOI

Semi-supervised learning for peptide identification from shotgun proteomics datasets

TL;DR: An algorithm, called Percolator, is described, for improving the rate of confident peptide identifications from a collection of tandem mass spectra, using semi-supervised machine learning to discriminate between correct and decoy spectrum identifications.
Journal ArticleDOI

Comparing protein abundance and mRNA expression levels on a genomic scale

TL;DR: This work merges many of the available yeast protein-abundance datasets, using the resulting larger 'meta-dataset' to find correlations between protein and mRNA expression, both globally and within smaller categories.
Journal ArticleDOI

Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS

TL;DR: The AQUA strategy was used to quantify low abundance yeast proteins involved in gene silencing, quantitatively determine the cell cycle-dependent phosphorylation of Ser-1126 of human separase protein, and identify kinases capable of phosphorylating Ser-1501 of separase in an in vitro kinase assay.
References
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Journal ArticleDOI

High resolution two-dimensional electrophoresis of proteins.

TL;DR: This technique provides a method for estimation of the number of proteins made by any biological system and can resolve proteins differing in a single charge and consequently can be used in the analysis of in vivo modifications resulting in a change in charge.
Journal ArticleDOI

Probability-based protein identification by searching sequence databases using mass spectrometry data.

TL;DR: A new computer program, Mascot, is presented, which integrates all three types of search for protein identification by searching a sequence database using mass spectrometry data, and the scoring algorithm is probability based.
Journal ArticleDOI

Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

TL;DR: MudPIT was applied to the proteome of the Saccharomyces cerevisiae strain BJ5460 grown to mid-log phase and yielded the largest proteome analysis to date, identifying 131 proteins with three or more predicted transmembrane domains which allowed us to map the soluble domains of many of the integral membrane proteins.
Journal ArticleDOI

Proteomics to study genes and genomes

TL;DR: Proteomics can be divided into three main areas: protein micro-characterization for large-scale identification of proteins and their post-translational modifications; ‘differential display’ proteomics for comparison of protein levels with potential application in a wide range of diseases; and studies of protein–protein interactions using techniques such as mass spectrometry or the yeast two-hybrid system.
Journal ArticleDOI

The current state of two-dimensional electrophoresis with immobilized pH gradients.

TL;DR: The original protocol of two-dimensional electrophoresis with immobilized pH gradient (IPG-Dalt) is updated in this article, and the results with extended separation distances as well as automated procedures are demonstrated, and a comparison between protein detection by silver staining and fluorescent dyes is given.
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