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Assessing sub-cellular resolution in spatial proteomics experiments

The sub-cellular localisation of a protein is vital in defining its function, and a protein's mis-localisation is known to lead to adverse effect. As a result, numerous experimental techniques and datasets have been published, with the aim of deciphering the localisation of proteins at various...

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Detalles Bibliográficos
Autores principales: Gatto, Laurent, Breckels, Lisa M., Lilley, Kathryn S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391913/
https://www.ncbi.nlm.nih.gov/pubmed/30711721
http://dx.doi.org/10.1016/j.cbpa.2018.11.015
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author Gatto, Laurent
Breckels, Lisa M.
Lilley, Kathryn S.
author_facet Gatto, Laurent
Breckels, Lisa M.
Lilley, Kathryn S.
author_sort Gatto, Laurent
collection PubMed
description The sub-cellular localisation of a protein is vital in defining its function, and a protein's mis-localisation is known to lead to adverse effect. As a result, numerous experimental techniques and datasets have been published, with the aim of deciphering the localisation of proteins at various scales and resolutions, including high profile mass spectrometry-based efforts. Here, we present a meta-analysis assessing and comparing the sub-cellular resolution of 29 such mass spectrometry-based spatial proteomics experiments using a newly developed tool termed QSep. Our goal is to provide a simple quantitative report of how well spatial proteomics resolve the sub-cellular niches they describe to inform and guide developers and users of such methods.
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spelling pubmed-63919132019-03-07 Assessing sub-cellular resolution in spatial proteomics experiments Gatto, Laurent Breckels, Lisa M. Lilley, Kathryn S. Curr Opin Chem Biol Article The sub-cellular localisation of a protein is vital in defining its function, and a protein's mis-localisation is known to lead to adverse effect. As a result, numerous experimental techniques and datasets have been published, with the aim of deciphering the localisation of proteins at various scales and resolutions, including high profile mass spectrometry-based efforts. Here, we present a meta-analysis assessing and comparing the sub-cellular resolution of 29 such mass spectrometry-based spatial proteomics experiments using a newly developed tool termed QSep. Our goal is to provide a simple quantitative report of how well spatial proteomics resolve the sub-cellular niches they describe to inform and guide developers and users of such methods. Elsevier 2019-02 /pmc/articles/PMC6391913/ /pubmed/30711721 http://dx.doi.org/10.1016/j.cbpa.2018.11.015 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gatto, Laurent
Breckels, Lisa M.
Lilley, Kathryn S.
Assessing sub-cellular resolution in spatial proteomics experiments
title Assessing sub-cellular resolution in spatial proteomics experiments
title_full Assessing sub-cellular resolution in spatial proteomics experiments
title_fullStr Assessing sub-cellular resolution in spatial proteomics experiments
title_full_unstemmed Assessing sub-cellular resolution in spatial proteomics experiments
title_short Assessing sub-cellular resolution in spatial proteomics experiments
title_sort assessing sub-cellular resolution in spatial proteomics experiments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391913/
https://www.ncbi.nlm.nih.gov/pubmed/30711721
http://dx.doi.org/10.1016/j.cbpa.2018.11.015
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