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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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2021-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-88945-7 |
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doaj-3100788543c544378e78f9e3f69c92a72021-05-11T14:56:06ZengNature Publishing GroupScientific Reports2045-23222021-05-011111910.1038/s41598-021-88945-7A unified resource and configurable model of the synapse proteome and its role in diseaseOksana Sorokina0Colin Mclean1Mike D. R. Croning2Katharina F. Heil3Emilia Wysocka4Xin He5David Sterratt6Seth G. N. Grant7Thomas I. Simpson8J. Douglas Armstrong9The School of Informatics, University of EdinburghThe School of Informatics, University of EdinburghCentre for Clinical Brain Sciences, University of EdinburghThe School of Informatics, University of EdinburghThe School of Informatics, University of EdinburghThe School of Informatics, University of EdinburghThe School of Informatics, University of EdinburghCentre for Clinical Brain Sciences, University of EdinburghThe School of Informatics, University of EdinburghThe School of Informatics, University of EdinburghAbstract 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.https://doi.org/10.1038/s41598-021-88945-7 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| 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 |
| spellingShingle |
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 Scientific Reports |
| 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 Publishing Group |
| series |
Scientific Reports |
| issn |
2045-2322 |
| publishDate |
2021-05-01 |
| 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. |
| url |
https://doi.org/10.1038/s41598-021-88945-7 |
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