Proteomics

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Global Subcellular Characterization of Protein Degradation Using Quantitative Proteomics


ABSTRACT: Protein degradation provides an important regulatory mechanism used to control cell cycle progression and many other cellular pathways. To comprehensively analyze the spatial control of protein degradation in U2OS osteosarcoma cells, we have combined drug treatment and SILAC-based quantitative mass spectrometry with subcellular and protein fractionation. The resulting data set analyzed more than 74,000 peptides, corresponding to ?5000 proteins, from nuclear, cytosolic, membrane, and cytoskeletal compartments. These data identified rapidly degraded proteasome targets, such as PRR11 and highlighted a feedback mechanism resulting in translation inhibition, induced by blocking the proteasome. We show this is mediated by activation of the unfolded protein response. We observed compartment-specific differences in protein degradation, including proteins that would not have been characterized as rapidly degraded through analysis of whole cell lysates. Bioinformatic analysis of the entire data set is presented in the Encyclopedia of Proteome Dynamics, a web-based resource, with proteins annotated for stability and subcellular distribution.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Angus Lamond  

PROVIDER: MSV000080816 | MassIVE | Fri Mar 31 01:46:00 BST 2017

SECONDARY ACCESSION(S): PXD003239

REPOSITORIES: MassIVE

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Global subcellular characterization of protein degradation using quantitative proteomics.

Larance Mark M   Ahmad Yasmeen Y   Kirkwood Kathryn J KJ   Ly Tony T   Lamond Angus I AI  

Molecular & cellular proteomics : MCP 20121212 3


Protein degradation provides an important regulatory mechanism used to control cell cycle progression and many other cellular pathways. To comprehensively analyze the spatial control of protein degradation in U2OS osteosarcoma cells, we have combined drug treatment and SILAC-based quantitative mass spectrometry with subcellular and protein fractionation. The resulting data set analyzed more than 74,000 peptides, corresponding to ~5000 proteins, from nuclear, cytosolic, membrane, and cytoskeletal  ...[more]

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