Evidence map›Paper›PMID 25561506›Full record

ArticleMolecular & cellular proteomics : MCP2015

Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometry.

Nathalie Selevsek, Ching-Yun Chang, Ludovic C Gillet, Pedro Navarro, Oliver M Bernhardt, Lukas Reiter, Lin-Yang Cheng, Olga Vitek, Ruedi Aebersold

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
16.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 2 syntheses or guidelines pooled it, 184 citations in OpenAlex.

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  20. Ultra-fast proteomics with Scanning SWATH.Nature biotechnology · 2021
    Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Nathalie SelevsekFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland;
Ching-Yun Chang§Department of Statistics, Purdue University, West Lafayette IN, USA;
Ludovic C GilletFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland;
Pedro Navarro‖‖Institute for Immunology, University Medical Center of the Johannes-Gutenberg University Mainz, Mainz, Germany.
Oliver M Bernhardt¶Biognosys, 8952 Zürich, Switzerland;
Lukas Reiter¶Biognosys, 8952 Zürich, Switzerland;
Lin-Yang Cheng§Department of Statistics, Purdue University, West Lafayette IN, USA;
Olga Vitek‖College of Science, Northeastern University, 02115 Boston Massachusetts;
Ruedi AebersoldFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland; ‡‡Faculty of Science, University of Zürich, Switzerland; aebersold@imsb.biol.ethz.ch.
ETH Zurich · CHBiognosys (Switzerland) · CHPurdue University West Lafayette · USNortheastern University · USUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted mass spectrometry by selected reaction monitoring (S/MRM) has proven to be a suitable technique for the consistent and reproducible quantification of proteins across multiple biological samples and a wide dynamic range. This performance profile is an important prerequisite for systems biology and biomedical research. However, the method is limited to the measurements of a few hundred peptides per LC-MS analysis. Recently, we introduced SWATH-MS, a combination of data independent acquisition and targeted data analysis that vastly extends the number of peptides/proteins quantified per sample, while maintaining the favorable performance profile of S/MRM. Here we applied the SWATH-MS technique to quantify changes over time in a large fraction of the proteome expressed in Saccharomyces cerevisiae in response to osmotic stress. We sampled cell cultures in biological triplicates at six time points following the application of osmotic stress and acquired single injection data independent acquisition data sets on a high-resolution 5600 tripleTOF instrument operated in SWATH mode. Proteins were quantified by the targeted extraction and integration of transition signal groups from the SWATH-MS datasets for peptides that are proteotypic for specific yeast proteins. We consistently identified and quantified more than 15,000 peptides and 2500 proteins across the 18 samples. We demonstrate high reproducibility between technical and biological replicates across all time points and protein abundances. In addition, we show that the abundance of hundreds of proteins was significantly regulated upon osmotic shock, and pathway enrichment analysis revealed that the proteins reacting to osmotic shock are mainly involved in the carbohydrate and amino acid metabolism. Overall, this study demonstrates the ability of SWATH-MS to efficiently generate reproducible, consistent, and quantitatively accurate measurements of a large fraction of a proteome across multiple samples.

Indexed as

Carbohydrate MetabolismMass SpectrometryOsmosisPeptidesProteomicsReproducibility of ResultsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsPeptidesSaccharomyces cerevisiae Proteins

Identifiers

PMID25561506
PMCPMC4349991
OpenAlexW2021613526

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.