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- W1989017913 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." @default.
- W1989017913 created "2016-06-24" @default.
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- W1989017913 creator A5045055598 @default.
- W1989017913 creator A5066264903 @default.
- W1989017913 creator A5075802016 @default.
- W1989017913 date "2010-03-01" @default.
- W1989017913 modified "2023-09-27" @default.
- W1989017913 title "Proteomics of Saccharomyces cerevisiae Organelles" @default.
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- W1989017913 doi "https://doi.org/10.1074/mcp.r900002-mcp200" @default.
- W1989017913 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2849710" @default.
- W1989017913 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19955081" @default.
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