A unified resource and configurable model of the synapse proteome and its role in disease

Abstract Genes encoding synaptic proteins are highly associated with neuronal disorders many of which show clinical co-morbidity. We integrated 58 published synaptic proteomic datasets that describe over 8000 proteins and combined them with direct protein–protein interactions and functional metadata...

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Autores principales:	Oksana Sorokina, Colin Mclean, Mike D. R. Croning, Katharina F. Heil, Emilia Wysocka, Xin He, David Sterratt, Seth G. N. Grant, Thomas I. Simpson, J. Douglas Armstrong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3100788543c544378e78f9e3f69c92a7
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spelling	oai:doaj.org-article:3100788543c544378e78f9e3f69c92a72021-12-02T16:58:20ZA unified resource and configurable model of the synapse proteome and its role in disease10.1038/s41598-021-88945-72045-2322https://doaj.org/article/3100788543c544378e78f9e3f69c92a72021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88945-7https://doaj.org/toc/2045-2322Abstract Genes encoding synaptic proteins are highly associated with neuronal disorders many of which show clinical co-morbidity. We integrated 58 published synaptic proteomic datasets that describe over 8000 proteins and combined them with direct protein–protein interactions and functional metadata to build a network resource that reveals the shared and unique protein components that underpin multiple disorders. All the data are provided in a flexible and accessible format to encourage custom use.Oksana SorokinaColin McleanMike D. R. CroningKatharina F. HeilEmilia WysockaXin HeDavid SterrattSeth G. N. GrantThomas I. SimpsonJ. Douglas ArmstrongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Oksana Sorokina Colin Mclean Mike D. R. Croning Katharina F. Heil Emilia Wysocka Xin He David Sterratt Seth G. N. Grant Thomas I. Simpson J. Douglas Armstrong A unified resource and configurable model of the synapse proteome and its role in disease
description	Abstract Genes encoding synaptic proteins are highly associated with neuronal disorders many of which show clinical co-morbidity. We integrated 58 published synaptic proteomic datasets that describe over 8000 proteins and combined them with direct protein–protein interactions and functional metadata to build a network resource that reveals the shared and unique protein components that underpin multiple disorders. All the data are provided in a flexible and accessible format to encourage custom use.
format	article
author	Oksana Sorokina Colin Mclean Mike D. R. Croning Katharina F. Heil Emilia Wysocka Xin He David Sterratt Seth G. N. Grant Thomas I. Simpson J. Douglas Armstrong
author_facet	Oksana Sorokina Colin Mclean Mike D. R. Croning Katharina F. Heil Emilia Wysocka Xin He David Sterratt Seth G. N. Grant Thomas I. Simpson J. Douglas Armstrong
author_sort	Oksana Sorokina
title	A unified resource and configurable model of the synapse proteome and its role in disease
title_short	A unified resource and configurable model of the synapse proteome and its role in disease
title_full	A unified resource and configurable model of the synapse proteome and its role in disease
title_fullStr	A unified resource and configurable model of the synapse proteome and its role in disease
title_full_unstemmed	A unified resource and configurable model of the synapse proteome and its role in disease
title_sort	unified resource and configurable model of the synapse proteome and its role in disease
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3100788543c544378e78f9e3f69c92a7
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A unified resource and configurable model of the synapse proteome and its role in disease

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