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Molecular & Cellular Proteomics
Article . 2010 . Peer-reviewed
License: CC BY
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Molecular & Cellular Proteomics
Article
License: CC BY
Data sources: UnpayWall
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Proteomics of Saccharomyces cerevisiae Organelles

Authors: Bert Poolman; Liesbeth M. Veenhoff; Elena Wiederhold; Dirk Jan Slotboom;

Proteomics of Saccharomyces cerevisiae Organelles

Abstract

Knowledge of the subcellular localization of proteins is indispensable to understand their physiological roles. In the past decade, 18 studies have been performed to analyze the protein content of isolated organelles from Saccharomyces cerevisiae. Here, we integrate the data sets and compare them with other large scale studies on protein localization and abundance. We evaluate the completeness and reliability of the organelle proteomics studies. Reliability depends on the purity of the organelle preparations, which unavoidably contain (small) amounts of contaminants from different locations. Quantitative proteomics methods can be used to distinguish between true organellar constituents and contaminants. Completeness is compromised when loosely or dynamically associated proteins are lost during organelle preparation and also depends on the sensitivity of the analytical methods for protein detection. There is a clear trend in the data from the 18 organelle proteomics studies showing that proteins of low abundance frequently escape detection. Proteins with unknown function or cellular abundance are also infrequently detected, indicating that these proteins may not be expressed under the conditions used. We discuss that the yeast organelle proteomics studies provide powerful lead data for further detailed studies and that methodological advances in organelle preparation and in protein detection may help to improve the completeness and reliability of the data.

Country
Netherlands
Related Organizations
Keywords

Organelles, Proteomics, Saccharomyces cerevisiae Proteins, IDENTIFICATION, MEMBRANE-PROTEINS, ENDOPLASMIC-RETICULUM, NUCLEAR-PORE COMPLEX, YEAST MITOCHONDRIAL PROTEOME, MASS-SPECTROMETRY, Saccharomyces cerevisiae, SEPARATION TECHNIQUES, PLASMA-MEMBRANE, Humans, SUBCELLULAR-LOCALIZATION, PEROXISOMES, Subcellular Fractions

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Top 10%
Top 10%
Top 10%
gold