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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, MP; Cornelisse, LN; ... Verhage, M; + view all (2019) SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse. Neuron , 103 (2) 217-234.e4. 10.1016/j.neuron.2019.05.002. Green open access

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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).

Type: Article
Title: SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuron.2019.05.002
Publisher version: https://doi.org/10.1016/j.neuron.2019.05.002
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Gene Ontology, enrichment study, gene annotation, gene set analysis, synapse, synaptic plasticity, synaptic proteome network, synaptome, synaptopathies
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Pre-clinical and Fundamental Science
URI: https://discovery.ucl.ac.uk/id/eprint/10078733
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