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  SynGO: An evidence-based, expert-curated knowledge base for the synapse.

Koopmans, F., van Nierop, P., Andres-Alonso, M., Byrnes, A., Cijsouw, T., Coba, M. P., et al. (2019). SynGO: An evidence-based, expert-curated knowledge base for the synapse. Neuron, 103(2), 217-234. doi:10.1016/j.neuron.2019.05.002.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-CC1F-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4BB1-0
Genre: Journal Article

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 Creators:
Koopmans, F., Author
van Nierop, P., Author
Andres-Alonso, M., Author
Byrnes, A., Author
Cijsouw, T., Author
Coba, M. P., Author
Cornelisse, L. N., Author
Farrell, R. J., Author
Goldschmidt, H. L., Author
Howrigan, D. P., Author
Hussain, N. K., Author
Imig, C., Author
de Jong, A. P. H., Author
Jung, H., Author
Kohansalnodehi, M.1, Author              
Kramarz, B., Author
Lipstein, N., Author
Lovering, R. C., Author
MacGillavry, H., Author
Mariano, V., Author
Mi, H., AuthorNinov, M.1, Author              Osumi-Sutherland, D., AuthorPielot, R., AuthorSmalla, K. H., AuthorTang, H., AuthorTashman, K., AuthorToonen, R. F. G., AuthorVerpelli, C., AuthorReig-Viader, R., AuthorWatanabe, K., Authorvan Weering, J., AuthorAchsel, T., AuthorAshrafi, G., AuthorAsi, N., AuthorBrown, T. C., AuthorDe Camilli, P., AuthorFeuermann, M., AuthorFoulger, R. E., AuthorGaudet, P., AuthorJoglekar, A., AuthorKanellopoulos, Al., AuthorMalenka, R., AuthorNicoll, R. A., AuthorPulido, C., Authorde Juan-Sanz, J., AuthorSheng, M., AuthorSüdhof, T. C., AuthorTilgner, H. U., AuthorBagni, C., AuthorBayés, A., AuthorBiederer, T., AuthorBrose, N., AuthorChua, J. J. E., AuthorDieterich, D. C., AuthorGundelfinger, E. D., AuthorHoogenraad, C., AuthorHuganir, R. L., AuthorJahn, R.2, Author              Kaeser, P. S., AuthorKim, E., AuthorKreutz, M. R., AuthorMcPherson, P. S., AuthorNeale, B. M., AuthorO’Connor, V., AuthorPosthuma, D., AuthorRyan, T. A., AuthorSala, C., AuthorFeng, G., AuthorHyman, S. E., AuthorThomas, P. D., AuthorSmit, A. B., AuthorVerhage, M., Author more..
Affiliations:
1Department of Neurobiology, MPI for Biophysical Chemistry, Max Planck Society, ou_578595              
2Department of Neurobiology, MPI for biophysical chemistry, Max Planck Society, ou_578595              

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Free keywords: Gene Ontology; enrichment study; gene annotation; gene set analysis; synapse; synaptic plasticity; synaptic proteome network; synaptome; synaptopathies
 Abstract: Synapses are fundamental information-processing units of the brain, and synaptic dysregulation is central to many brain disorders (“synaptopathies”). However, systematic annotation of synaptic genes and ontology of synaptic processes are currently lacking. We established SynGO, an interactive knowledge base that accumulates available research about synapse biology using Gene Ontology (GO) annotations to novel ontology terms: 87 synaptic locations and 179 synaptic processes. SynGO annotations are exclusively based on published, expert-curated evidence. Using 2,922 annotations for 1,112 genes, we show that synaptic genes are exceptionally well conserved and less tolerant to mutations than other genes. Many SynGO terms are significantly overrepresented among gene variations associated with intelligence, educational attainment, ADHD, autism, and bipolar disorder and among de novo variants associated with neurodevelopmental disorders, including schizophrenia. SynGO is a public, universal reference for synapse research and an online analysis platform for interpretation of large-scale -omics data (https://syngoportal.org and http://geneontology.org).

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Language(s): eng - English
 Dates: 2019-06-032019-07-17
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuron.2019.05.002
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Title: Neuron
Source Genre: Journal
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Pages: - Volume / Issue: 103 (2) Sequence Number: - Start / End Page: 217 - 234 Identifier: -