Evidence map›Paper›PMID 23334424›Full record

ArticleNature2013

A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis.

Paola Picotti, Mathieu Clément-Ziza, Henry Lam, David S Campbell, Alexander Schmidt, Eric W Deutsch, Hannes Röst, Zhi Sun, Oliver Rinner, Lukas Reiter and 9 more

Abstract read
In one paragraph

Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed
–field-weighted citation impact
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

144 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Understanding the molecular diversity of synapses.Nature reviews. Neuroscience · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Quantitative Peptidomics: General Considerations.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. International journal of molecular sciences · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Paola PicottiDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093, Switzerland. paola.picotti@bc.biol.ethz.ch
Mathieu Clément-Ziza
Henry Lam
David S Campbell
Alexander Schmidt
Eric W Deutsch
Hannes Röst
Zhi Sun
Oliver Rinner
Lukas Reiter
Qin Shen
Jacob J Michaelson
Andreas Frei
Simon Alberti
Ulrike Kusebauch
Bernd Wollscheid
Robert L Moritz
Andreas Beyer
Ruedi Aebersold

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Complete Human Peptide- and MRM-AtlasRC2HG005805 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HOOD, LEROY E, MORITZ, ROBERT L · 2009 to 2010
$4.6M
NHLBI PROTEOMICS INITIATIVE-268028179N01HV028179 · HV · INSTITUTE FOR SYSTEMS BIOLOGY · 2002 to 2002
–
European Research Council 233226NHGRI NIH HHS RC2 HG005805NHLBI NIH HHS N01 HV028179NHLBI NIH HHS N01-HV-28179NIGMS NIH HHS P50 GM076547
6 · The paper itself

Abstract

Experience from different fields of life sciences suggests that accessible, complete reference maps of the components of the system under study are highly beneficial research tools. Examples of such maps include libraries of the spectroscopic properties of molecules, or databases of drug structures in analytical or forensic chemistry. Such maps, and methods to navigate them, constitute reliable assays to probe any sample for the presence and amount of molecules contained in the map. So far, attempts to generate such maps for any proteome have failed to reach complete proteome coverage. Here we use a strategy based on high-throughput peptide synthesis and mass spectrometry to generate an almost complete reference map (97% of the genome-predicted proteins) of the Saccharomyces cerevisiae proteome. We generated two versions of this mass-spectrometric map, one supporting discovery-driven (shotgun) and the other supporting hypothesis-driven (targeted) proteomic measurements. Together, the two versions of the map constitute a complete set of proteomic assays to support most studies performed with contemporary proteomic technologies. To show the utility of the maps, we applied them to a protein quantitative trait locus (QTL) analysis, which requires precise measurement of the same set of peptides over a large number of samples. Protein measurements over 78 S. cerevisiae strains revealed a complex relationship between independent genetic loci, influencing the levels of related proteins. Our results suggest that selective pressure favours the acquisition of sets of polymorphisms that adapt protein levels but also maintain the stoichiometry of functionally related pathway members.

Indexed as

Mass SpectrometryPeptide LibraryPolymorphism, GeneticProteomeProteomicsQuantitative Trait LociReference ValuesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSelection, GeneticPeptide LibraryProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID23334424
PMCPMC3951219

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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.