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A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage

A major challenge in cell biology is to identify the subcellular distribution of proteins within cells and to characterize how protein localization changes under different cell growth conditions and in response to stress and other external signals. Protein localization is usually determined either b...

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Autores principales: Boisvert, François-Michel, Lam, Yun Wah, Lamont, Douglas, Lamond, Angus I.
Formato: Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2849709/
https://www.ncbi.nlm.nih.gov/pubmed/20026476
http://dx.doi.org/10.1074/mcp.M900429-MCP200
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author Boisvert, François-Michel
Lam, Yun Wah
Lamont, Douglas
Lamond, Angus I.
author_facet Boisvert, François-Michel
Lam, Yun Wah
Lamont, Douglas
Lamond, Angus I.
author_sort Boisvert, François-Michel
collection PubMed
description A major challenge in cell biology is to identify the subcellular distribution of proteins within cells and to characterize how protein localization changes under different cell growth conditions and in response to stress and other external signals. Protein localization is usually determined either by microscopy or by using cell fractionation combined with protein blotting techniques. Both these approaches are intrinsically low throughput and limited to the analysis of known components. Here we use mass spectrometry-based proteomics to provide an unbiased, quantitative, and high throughput approach for measuring the subcellular distribution of the proteome, termed “spatial proteomics.” The spatial proteomics method analyzes a whole cell extract created by recombining differentially labeled subcellular fractions derived from cells in which proteins have been mass-labeled with heavy isotopes. This was used here to measure the relative distribution between cytoplasm, nucleus, and nucleolus of over 2,000 proteins in HCT116 cells. The data show that, at steady state, the proteome is predominantly partitioned into specific subcellular locations with only a minor subset of proteins equally distributed between two or more compartments. Spatial proteomics also facilitates a proteome-wide comparison of changes in protein localization in response to a wide range of physiological and experimental perturbations, shown here by characterizing dynamic changes in protein localization elicited during the cellular response to DNA damage following treatment of HCT116 cells with etoposide. DNA damage was found to cause dissociation of the proteasome from inhibitory proteins and assembly chaperones in the cytoplasm and relocation to associate with proteasome activators in the nucleus.
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spelling pubmed-28497092010-04-15 A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage Boisvert, François-Michel Lam, Yun Wah Lamont, Douglas Lamond, Angus I. Mol Cell Proteomics Research A major challenge in cell biology is to identify the subcellular distribution of proteins within cells and to characterize how protein localization changes under different cell growth conditions and in response to stress and other external signals. Protein localization is usually determined either by microscopy or by using cell fractionation combined with protein blotting techniques. Both these approaches are intrinsically low throughput and limited to the analysis of known components. Here we use mass spectrometry-based proteomics to provide an unbiased, quantitative, and high throughput approach for measuring the subcellular distribution of the proteome, termed “spatial proteomics.” The spatial proteomics method analyzes a whole cell extract created by recombining differentially labeled subcellular fractions derived from cells in which proteins have been mass-labeled with heavy isotopes. This was used here to measure the relative distribution between cytoplasm, nucleus, and nucleolus of over 2,000 proteins in HCT116 cells. The data show that, at steady state, the proteome is predominantly partitioned into specific subcellular locations with only a minor subset of proteins equally distributed between two or more compartments. Spatial proteomics also facilitates a proteome-wide comparison of changes in protein localization in response to a wide range of physiological and experimental perturbations, shown here by characterizing dynamic changes in protein localization elicited during the cellular response to DNA damage following treatment of HCT116 cells with etoposide. DNA damage was found to cause dissociation of the proteasome from inhibitory proteins and assembly chaperones in the cytoplasm and relocation to associate with proteasome activators in the nucleus. The American Society for Biochemistry and Molecular Biology 2010-03 2009-12-21 /pmc/articles/PMC2849709/ /pubmed/20026476 http://dx.doi.org/10.1074/mcp.M900429-MCP200 Text en © 2010 by The American Society for Biochemistry and Molecular Biology, Inc. Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) applies to Author Choice Articles
spellingShingle Research
Boisvert, François-Michel
Lam, Yun Wah
Lamont, Douglas
Lamond, Angus I.
A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage
title A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage
title_full A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage
title_fullStr A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage
title_full_unstemmed A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage
title_short A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage
title_sort quantitative proteomics analysis of subcellular proteome localization and changes induced by dna damage
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2849709/
https://www.ncbi.nlm.nih.gov/pubmed/20026476
http://dx.doi.org/10.1074/mcp.M900429-MCP200
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