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SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse.

Authors :
Koopmans 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 KH
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 M
Source :
Neuron [Neuron] 2019 Jul 17; Vol. 103 (2), pp. 217-234.e4. Date of Electronic Publication: 2019 Jun 03.
Publication Year :
2019

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).<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1097-4199
Volume :
103
Issue :
2
Database :
MEDLINE
Journal :
Neuron
Publication Type :
Academic Journal
Accession number :
31171447
Full Text :
https://doi.org/10.1016/j.neuron.2019.05.002