SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse.
Details
Serval ID
serval:BIB_09976E2B9E69
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse.
Journal
Neuron
ISSN
1097-4199 (Electronic)
ISSN-L
0896-6273
Publication state
Published
Issued date
17/07/2019
Peer-reviewed
Oui
Volume
103
Number
2
Pages
217-234.e4
Language
english
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
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).
Keywords
Animals, Brain/cytology, Brain/physiology, Databases, Genetic, Gene Ontology, Humans, Knowledge Bases, Proteomics, Software, Synapses/physiology, Synaptic Potentials/physiology, Synaptosomes, enrichment study, gene annotation, gene set analysis, synapse, synaptic plasticity, synaptic proteome network, synaptome, synaptopathies
Pubmed
Web of science
Open Access
Yes
Create date
24/06/2019 8:01
Last modification date
25/10/2019 13:39