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dc.contributor.authorFeng, Guoping
dc.date.accessioned2022-09-26T19:37:05Z
dc.date.available2021-10-27T20:09:19Z
dc.date.available2022-09-26T19:37:05Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/134814.2
dc.description.abstract© 2019 Elsevier Inc. 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). The SynGO consortium presents a framework to annotate synaptic protein locations and functions and annotations for 1,112 synaptic genes based on published experimental evidence. SynGO reports exceptional features and disease associations for synaptic genes and provides an online data analysis platform.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.NEURON.2019.05.002en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleSynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapseen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalNeuronen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-07-20T15:51:36Z
dspace.orderedauthorsKoopmans, F; van Nierop, P; Andres-Alonso, M; Byrnes, A; Cijsouw, T; Coba, MP; Cornelisse, LN; Farrell, RJ; Goldschmidt, HL; Howrigan, DP; Hussain, NK; Imig, C; de Jong, APH; Jung, H; Kohansalnodehi, M; Kramarz, B; Lipstein, N; Lovering, RC; MacGillavry, H; Mariano, V; Mi, H; Ninov, M; Osumi-Sutherland, D; Pielot, R; Smalla, K-H; Tang, H; Tashman, K; Toonen, RFG; Verpelli, C; Reig-Viader, R; Watanabe, K; van Weering, J; Achsel, T; Ashrafi, G; Asi, N; Brown, TC; De Camilli, P; Feuermann, M; Foulger, RE; Gaudet, P; Joglekar, A; Kanellopoulos, A; Malenka, R; Nicoll, RA; Pulido, C; de Juan-Sanz, J; Sheng, M; Südhof, TC; Tilgner, HU; Bagni, C; Bayés, À; Biederer, T; Brose, N; Chua, JJE; Dieterich, DC; Gundelfinger, ED; Hoogenraad, C; Huganir, RL; Jahn, R; Kaeser, PS; Kim, E; Kreutz, MR; McPherson, PS; Neale, BM; O’Connor, V; Posthuma, D; Ryan, TA; Sala, C; Feng, G; Hyman, SE; Thomas, PD; Smit, AB; Verhage, Men_US
dspace.date.submission2020-07-20T15:51:38Z
mit.journal.volume103en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusPublication Information Neededen_US


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