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High-Throughput Analysis of Subcellular Localization in Budding Yeast

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Air date: Friday, February 06, 2004, 1:00:00 PM
Time displayed is Eastern Time, Washington DC Local
Category: Proteomics
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Description: A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular milieu. We have constructed and analyzed a collection of yeast strains expressing full-length, chromosomally-tagged green fluorescent protein (GFP) fusion proteins. We classified these proteins, representing 75% of the yeast proteome, into twenty-two distinct subcellular localization categories and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization dataset in the context of transcriptional and protein-protein interaction data helps reveal the logic of transcriptional co-regulation and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.

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Runtime: 01:15:11
NLM Title: High-throughput analysis of subcellular localization in budding yeast [electronic resource] / Erin O'Shea.
Series: Global analysis of protein localization in budding yeast
Author: O'Shea, Erin.
National Institutes of Health (U.S.)
Publisher: [Bethesda, Md. : National Institutes of Health, 2004]
Other Title(s): Global analysis of protein localization in budding yeast
Abstract: (CIT): A fundamental goal of cell biology is to define the functions of proteins in the context of compartments that organize them in the cellular milieu. We have constructed and analyzed a collection of yeast strains expressing full-length, chromosomally-tagged green fluorescent protein (GFP) fusion proteins. We classified these proteins, representing 75% of the yeast proteome, into twenty-two distinct subcellular localization categories and provide localization information for 70% of previously unlocalized proteins. Analysis of this high-resolution, high-coverage localization dataset in the context of transcriptional and protein-protein interaction data helps reveal the logic of transcriptional co-regulation and provides a comprehensive view of interactions within and between organelles in eukaryotic cells. For more information, visit the Proteomics Interest Group.
Subjects: Gene Expression Regulation
Protein Transport
Proteomics
Saccharomyces cerevisiae Proteins
Saccharomyces cerevisiae
Publication Types: Government Publications
Lectures
Webcasts
Rights: This is a work of the United States Government. No copyright exists on this material. It may be disseminated freely.
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NLM Classification: QU 58.5
NLM ID: 101268357
Tunnel: HDS mode
Alternate bitrates:     Show bandwidth
CIT File ID: 11812
CIT Live ID: 3063
Permanent link: http://videocast.nih.gov/launch.asp?11812