This title appears in the Scientific Report :
2021
Please use the identifier:
http://dx.doi.org/10.1038/s41598-021-88945-7 in citations.
Please use the identifier: http://hdl.handle.net/2128/30617 in citations.
A unified resource and configurable model of the synapse proteome and its role in disease
A unified resource and configurable model of the synapse proteome and its role in disease
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...
Saved in:
Personal Name(s): | Sorokina, Oksana (Corresponding author) |
---|---|
Mclean, Colin (Corresponding author) / Croning, Mike D. R. / Heil, Katharina F. / Wysocka, Emilia / He, Xin / Sterratt, David / Grant, Seth G. N. / Simpson, T. Ian / Armstrong, J. Douglas | |
Contributing Institute: |
Computational Biomedicine; INM-9 Computational Biomedicine; IAS-5 |
Published in: | Scientific reports, 11 (2021) 1, S. 9967 |
Imprint: |
[London]
Macmillan Publishers Limited, part of Springer Nature
2021
|
PubMed ID: |
33976238 |
DOI: |
10.1038/s41598-021-88945-7 |
Document Type: |
Journal Article |
Research Program: |
Brain Dysfunction and Plasticity |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/30617 in citations.
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. |