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

F. Koopmans, Pim van Nierop, M. Andres-Alonso, Andrea Byrnes, Tony Cijsouw, Marcelo P. Coba, L. Niels Cornelisse, Ryan J. Farrell, Hana L. Goldschmidt, Daniel P. Howrigan, Natasha K. Hussain, Cordelia Imig, Arthur P.H. de Jong, Hwajin Jung, Mahdokht Kohansalnodehi, Barbara Kramarz, Noa Lipstein, Ruth C. Lovering, Harold MacGillavry, Vittoria Mariano & 53 others Huaiyu Mi, Momchil Ninov, D. Osumi-Sutherland, Rainer Pielot, Karl Heinz Smalla, Haiming Tang, Katherine Tashman, Ruud F.G. Toonen, Chiara Verpelli, Rita Reig-Viader, K. Watanabe, Jan van Weering, Tilmann Achsel, Ghazaleh Ashrafi, N. Asi, Tyler C. Brown, Pietro De Camilli, Marc Feuermann, Rebecca E. Foulger, Pascale Gaudet, Anoushka Joglekar, Alexandros Kanellopoulos, Robert Malenka, Roger A. Nicoll, Camila Pulido, J. de Juan-Sanz, Morgan Sheng, Thomas C. Südhof, Hagen U. Tilgner, Claudia Bagni, Àlex Bayés, Thomas Biederer, Nils Brose, John Jia En Chua, Daniela C. Dieterich, Eckart D. Gundelfinger, Casper Hoogenraad, Richard L. Huganir, Reinhard Jahn, Pascal S. Kaeser, Eunjoon Kim, Michael R. Kreutz, Peter S. McPherson, B. M. Neale, Vincent O'Connor, Danielle Posthuma, Timothy A. Ryan, C. Sala, Guoping Feng, Steven E. Hyman, Paul D. Thomas, August B. Smit, Matthijs Verhage

Research output: Contribution to JournalArticleAcademicpeer-review

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). 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.

Original languageEnglish
Pages (from-to)217-234.e4
Number of pages22
JournalNeuron
Volume103
Issue number2
Early online date3 Jun 2019
DOIs
Publication statusPublished - 17 Jul 2019

Fingerprint

Knowledge Bases
Synapses
Genes
Gene Ontology
Molecular Sequence Annotation
Brain Diseases
Autistic Disorder
Intelligence
Automatic Data Processing
Bipolar Disorder
Research
Schizophrenia
Mutation
Brain
Proteins

Keywords

  • enrichment study
  • gene annotation
  • Gene Ontology
  • gene set analysis
  • synapse
  • synaptic plasticity
  • synaptic proteome network
  • synaptome
  • synaptopathies

Cite this

Koopmans, F., van Nierop, P., Andres-Alonso, M., Byrnes, A., Cijsouw, T., Coba, M. P., ... Verhage, M. (2019). SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse. Neuron, 103(2), 217-234.e4. https://doi.org/10.1016/j.neuron.2019.05.002
Koopmans, F. ; van Nierop, Pim ; Andres-Alonso, M. ; Byrnes, Andrea ; Cijsouw, Tony ; Coba, Marcelo P. ; Cornelisse, L. Niels ; Farrell, Ryan J. ; Goldschmidt, Hana L. ; Howrigan, Daniel P. ; Hussain, Natasha K. ; Imig, Cordelia ; de Jong, Arthur P.H. ; Jung, Hwajin ; Kohansalnodehi, Mahdokht ; Kramarz, Barbara ; Lipstein, Noa ; Lovering, Ruth C. ; MacGillavry, Harold ; Mariano, Vittoria ; Mi, Huaiyu ; Ninov, Momchil ; Osumi-Sutherland, D. ; Pielot, Rainer ; Smalla, Karl Heinz ; Tang, Haiming ; Tashman, Katherine ; Toonen, Ruud F.G. ; Verpelli, Chiara ; Reig-Viader, Rita ; Watanabe, K. ; van Weering, Jan ; Achsel, Tilmann ; Ashrafi, Ghazaleh ; Asi, N. ; Brown, Tyler C. ; De Camilli, Pietro ; Feuermann, Marc ; Foulger, Rebecca E. ; Gaudet, Pascale ; Joglekar, Anoushka ; Kanellopoulos, Alexandros ; Malenka, Robert ; Nicoll, Roger A. ; Pulido, Camila ; de Juan-Sanz, J. ; Sheng, Morgan ; Südhof, Thomas C. ; Tilgner, Hagen U. ; Bagni, Claudia ; Bayés, Àlex ; Biederer, Thomas ; Brose, Nils ; Chua, John Jia En ; Dieterich, Daniela C. ; Gundelfinger, Eckart D. ; Hoogenraad, Casper ; Huganir, Richard L. ; Jahn, Reinhard ; Kaeser, Pascal S. ; Kim, Eunjoon ; Kreutz, Michael R. ; McPherson, Peter S. ; Neale, B. M. ; O'Connor, Vincent ; Posthuma, Danielle ; Ryan, Timothy A. ; Sala, C. ; Feng, Guoping ; Hyman, Steven E. ; Thomas, Paul D. ; Smit, August B. ; Verhage, Matthijs. / SynGO : An Evidence-Based, Expert-Curated Knowledge Base for the Synapse. In: Neuron. 2019 ; Vol. 103, No. 2. pp. 217-234.e4.
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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). 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.",
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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 2019, 'SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse' Neuron, vol. 103, no. 2, pp. 217-234.e4. https://doi.org/10.1016/j.neuron.2019.05.002

SynGO : An Evidence-Based, Expert-Curated Knowledge Base for the Synapse. / Koopmans, F.; van Nierop, Pim; Andres-Alonso, M.; Byrnes, Andrea; Cijsouw, Tony; Coba, Marcelo P.; Cornelisse, L. Niels; Farrell, Ryan J.; Goldschmidt, Hana L.; Howrigan, Daniel P.; Hussain, Natasha K.; Imig, Cordelia; de Jong, Arthur P.H.; Jung, Hwajin; Kohansalnodehi, Mahdokht; Kramarz, Barbara; Lipstein, Noa; Lovering, Ruth C.; MacGillavry, Harold; Mariano, Vittoria; Mi, Huaiyu; Ninov, Momchil; Osumi-Sutherland, D.; Pielot, Rainer; Smalla, Karl Heinz; Tang, Haiming; Tashman, Katherine; Toonen, Ruud F.G.; Verpelli, Chiara; Reig-Viader, Rita; Watanabe, K.; van Weering, Jan; Achsel, Tilmann; Ashrafi, Ghazaleh; Asi, N.; Brown, Tyler C.; De Camilli, Pietro; Feuermann, Marc; Foulger, Rebecca E.; Gaudet, Pascale; Joglekar, Anoushka; Kanellopoulos, Alexandros; Malenka, Robert; Nicoll, Roger A.; Pulido, Camila; de Juan-Sanz, J.; Sheng, Morgan; Südhof, Thomas C.; Tilgner, Hagen U.; Bagni, Claudia; Bayés, Àlex; Biederer, Thomas; Brose, Nils; Chua, John Jia En; Dieterich, Daniela C.; Gundelfinger, Eckart D.; Hoogenraad, Casper; Huganir, Richard L.; Jahn, Reinhard; Kaeser, Pascal S.; Kim, Eunjoon; Kreutz, Michael R.; McPherson, Peter S.; Neale, B. M.; O'Connor, Vincent; Posthuma, Danielle; Ryan, Timothy A.; Sala, C.; Feng, Guoping; Hyman, Steven E.; Thomas, Paul D.; Smit, August B.; Verhage, Matthijs.

In: Neuron, Vol. 103, No. 2, 17.07.2019, p. 217-234.e4.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - SynGO

T2 - An Evidence-Based, Expert-Curated Knowledge Base for the Synapse

AU - Koopmans, F.

AU - van Nierop, Pim

AU - Andres-Alonso, M.

AU - Byrnes, Andrea

AU - Cijsouw, Tony

AU - Coba, Marcelo P.

AU - Cornelisse, L. Niels

AU - Farrell, Ryan J.

AU - Goldschmidt, Hana L.

AU - Howrigan, Daniel P.

AU - Hussain, Natasha K.

AU - Imig, Cordelia

AU - de Jong, Arthur P.H.

AU - Jung, Hwajin

AU - Kohansalnodehi, Mahdokht

AU - Kramarz, Barbara

AU - Lipstein, Noa

AU - Lovering, Ruth C.

AU - MacGillavry, Harold

AU - Mariano, Vittoria

AU - Mi, Huaiyu

AU - Ninov, Momchil

AU - Osumi-Sutherland, D.

AU - Pielot, Rainer

AU - Smalla, Karl Heinz

AU - Tang, Haiming

AU - Tashman, Katherine

AU - Toonen, Ruud F.G.

AU - Verpelli, Chiara

AU - Reig-Viader, Rita

AU - Watanabe, K.

AU - van Weering, Jan

AU - Achsel, Tilmann

AU - Ashrafi, Ghazaleh

AU - Asi, N.

AU - Brown, Tyler C.

AU - De Camilli, Pietro

AU - Feuermann, Marc

AU - Foulger, Rebecca E.

AU - Gaudet, Pascale

AU - Joglekar, Anoushka

AU - Kanellopoulos, Alexandros

AU - Malenka, Robert

AU - Nicoll, Roger A.

AU - Pulido, Camila

AU - de Juan-Sanz, J.

AU - Sheng, Morgan

AU - Südhof, Thomas C.

AU - Tilgner, Hagen U.

AU - Bagni, Claudia

AU - Bayés, Àlex

AU - Biederer, Thomas

AU - Brose, Nils

AU - Chua, John Jia En

AU - Dieterich, Daniela C.

AU - Gundelfinger, Eckart D.

AU - Hoogenraad, Casper

AU - Huganir, Richard L.

AU - Jahn, Reinhard

AU - Kaeser, Pascal S.

AU - Kim, Eunjoon

AU - Kreutz, Michael R.

AU - McPherson, Peter S.

AU - Neale, B. M.

AU - O'Connor, Vincent

AU - Posthuma, Danielle

AU - Ryan, Timothy A.

AU - Sala, C.

AU - Feng, Guoping

AU - Hyman, Steven E.

AU - Thomas, Paul D.

AU - Smit, August B.

AU - Verhage, Matthijs

PY - 2019/7/17

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N2 - 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.

AB - 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.

KW - enrichment study

KW - gene annotation

KW - Gene Ontology

KW - gene set analysis

KW - synapse

KW - synaptic plasticity

KW - synaptic proteome network

KW - synaptome

KW - synaptopathies

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Koopmans F, van Nierop P, Andres-Alonso M, Byrnes A, Cijsouw T, Coba MP et al. SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse. Neuron. 2019 Jul 17;103(2):217-234.e4. https://doi.org/10.1016/j.neuron.2019.05.002