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Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles

Despite recent advances in mass spectrometry, proteomic characterization of transport vesicles remains challenging. Here, we describe a multivariate proteomics approach to analyzing clathrin-coated vesicles (CCVs) from HeLa cells. siRNA knockdown of coat components and different fractionation protoc...

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Autores principales: Borner, Georg H.H., Antrobus, Robin, Hirst, Jennifer, Bhumbra, Gary S., Kozik, Patrycja, Jackson, Lauren P., Sahlender, Daniela A., Robinson, Margaret S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Rockefeller University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317806/
https://www.ncbi.nlm.nih.gov/pubmed/22472443
http://dx.doi.org/10.1083/jcb.201111049
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author Borner, Georg H.H.
Antrobus, Robin
Hirst, Jennifer
Bhumbra, Gary S.
Kozik, Patrycja
Jackson, Lauren P.
Sahlender, Daniela A.
Robinson, Margaret S.
author_facet Borner, Georg H.H.
Antrobus, Robin
Hirst, Jennifer
Bhumbra, Gary S.
Kozik, Patrycja
Jackson, Lauren P.
Sahlender, Daniela A.
Robinson, Margaret S.
author_sort Borner, Georg H.H.
collection PubMed
description Despite recent advances in mass spectrometry, proteomic characterization of transport vesicles remains challenging. Here, we describe a multivariate proteomics approach to analyzing clathrin-coated vesicles (CCVs) from HeLa cells. siRNA knockdown of coat components and different fractionation protocols were used to obtain modified coated vesicle-enriched fractions, which were compared by stable isotope labeling of amino acids in cell culture (SILAC)-based quantitative mass spectrometry. 10 datasets were combined through principal component analysis into a “profiling” cluster analysis. Overall, 136 CCV-associated proteins were predicted, including 36 new proteins. The method identified >93% of established CCV coat proteins and assigned >91% correctly to intracellular or endocytic CCVs. Furthermore, the profiling analysis extends to less well characterized types of coated vesicles, and we identify and characterize the first AP-4 accessory protein, which we have named tepsin. Finally, our data explain how sequestration of TACC3 in cytosolic clathrin cages causes the severe mitotic defects observed in auxilin-depleted cells. The profiling approach can be adapted to address related cell and systems biological questions.
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spelling pubmed-33178062012-10-02 Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles Borner, Georg H.H. Antrobus, Robin Hirst, Jennifer Bhumbra, Gary S. Kozik, Patrycja Jackson, Lauren P. Sahlender, Daniela A. Robinson, Margaret S. J Cell Biol Tools Despite recent advances in mass spectrometry, proteomic characterization of transport vesicles remains challenging. Here, we describe a multivariate proteomics approach to analyzing clathrin-coated vesicles (CCVs) from HeLa cells. siRNA knockdown of coat components and different fractionation protocols were used to obtain modified coated vesicle-enriched fractions, which were compared by stable isotope labeling of amino acids in cell culture (SILAC)-based quantitative mass spectrometry. 10 datasets were combined through principal component analysis into a “profiling” cluster analysis. Overall, 136 CCV-associated proteins were predicted, including 36 new proteins. The method identified >93% of established CCV coat proteins and assigned >91% correctly to intracellular or endocytic CCVs. Furthermore, the profiling analysis extends to less well characterized types of coated vesicles, and we identify and characterize the first AP-4 accessory protein, which we have named tepsin. Finally, our data explain how sequestration of TACC3 in cytosolic clathrin cages causes the severe mitotic defects observed in auxilin-depleted cells. The profiling approach can be adapted to address related cell and systems biological questions. The Rockefeller University Press 2012-04-02 /pmc/articles/PMC3317806/ /pubmed/22472443 http://dx.doi.org/10.1083/jcb.201111049 Text en © 2012 Borner et al. This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Tools
Borner, Georg H.H.
Antrobus, Robin
Hirst, Jennifer
Bhumbra, Gary S.
Kozik, Patrycja
Jackson, Lauren P.
Sahlender, Daniela A.
Robinson, Margaret S.
Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
title Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
title_full Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
title_fullStr Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
title_full_unstemmed Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
title_short Multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
title_sort multivariate proteomic profiling identifies novel accessory proteins of coated vesicles
topic Tools
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317806/
https://www.ncbi.nlm.nih.gov/pubmed/22472443
http://dx.doi.org/10.1083/jcb.201111049
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