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

Autor: Alexandros K. Kanellopoulos, Neale Bm, Harold D. MacGillavry, Mahdokht Kohansal-Nodehi, Natasha K. Hussain, Rebecca E. Foulger, Vincent O'Connor, Ruud F. Toonen, Ghazaleh Ashrafi, Camila Pulido, Cordelia Imig, Arthur P.H. de Jong, Michael R. Kreutz, L. Niels Cornelisse, Timothy A. Ryan, Tilmann Achsel, Guoping Feng, Morgan Sheng, John Jia En Chua, Eckart D. Gundelfinger, Paul Thomas, David Osumi-Sutherland, Noa Lipstein, Haiming Tang, Danielle Posthuma, Hagen Tilgner, Chiara Verpelli, Nimra Asi, Kyoko Watanabe, Pietro De Camilli, Hana L. Goldschmidt, Jaime de Juan-Sanz, Rita Reig-Viader, Momchil Ninov, Barbara Kramarz, Àlex Bayés, Peter S. McPherson, Pim van Nierop, Hwajin Jung, Tony Cijsouw, Huaiyu Mi, Pascal S. Kaeser, Thomas C. Südhof, Marcelo P. Coba, Eunjoon Kim, Richard L. Huganir, Robert C. Malenka, Marc Feuermann, Daniel P. Howrigan, Roger A. Nicoll, Nils Brose, Pascale Gaudet, Daniela C. Dieterich, Andrea Byrnes, Carlo Sala, Anoushka Joglekar, Jan R.T. van Weering, Claudia Bagni, Frank Koopmans, Casper C. Hoogenraad, Matthijs Verhage, Katherine Tashman, Ryan J. Farrell, Vittoria Mariano, Rainer Pielot, Thomas Biederer, Reinhard Jahn, August B. Smit, Ruth C. Lovering, Karl-Heinz Smalla, Maria Andres-Alonso, Steven E. Hyman, Tyler C. Brown
Přispěvatelé: Sub Cell Biology, Celbiologie, Human genetics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Reproduction & Development (AR&D), Molecular and Cellular Neurobiology, AIMMS, Functional Genomics, Complex Trait Genetics
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Neuron, 103(2), 217. Cell Press
Neuron
Koopmans, F, van Nierop, P, Andres-Alonso, M, Byrnes, A, Cijsouw, T, Coba, M P, Cornelisse, L N, Farrell, R J, Goldschmidt, H L, Howrigan, D P, Hussain, N K, Imig, C, de Jong, A P H, Jung, H, Kohansalnodehi, M, Kramarz, B, Lipstein, N, Lovering, R C, MacGillavry, H, Mariano, V, Mi, H, Ninov, M, Osumi-Sutherland, D, Pielot, R, Smalla, K-H, Tang, H, Tashman, K, Toonen, R F G, Verpelli, C, Reig-Viader, R, Watanabe, K, van Weering, J, Achsel, T, Ashrafi, G, Asi, N, Brown, T C, de Camilli, P, Feuermann, M, Foulger, R E, Gaudet, P, Joglekar, A, Kanellopoulos, A, Malenka, R, Nicoll, R A, Pulido, C, de Juan-Sanz, J, Sheng, M, Südhof, T C, Tilgner, H U, Bagni, C, Bayés, À, Biederer, T, Brose, N, Chua, J J E, Dieterich, D C, Gundelfinger, E D, Hoogenraad, C, Huganir, R L, Jahn, R, Kaeser, P S, Kim, E, Kreutz, M R, McPherson, P S, Neale, B M, O'Connor, V, Posthuma, D, Ryan, T A, Sala, C, Feng, G, Hyman, S E, Thomas, P D, Smit, A B & 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
Koopmans, F, van Nierop, P, Andres-Alonso, M, Byrnes, A, Cijsouw, T, Coba, M P, Cornelisse, L N, Farrell, R J, Goldschmidt, H L, Howrigan, D P, Hussain, N K, Imig, C, de Jong, A P H, Jung, H, Kohansalnodehi, M, Kramarz, B, Lipstein, N, Lovering, R C, MacGillavry, H, Mariano, V, Mi, H, Ninov, M, Osumi-Sutherland, D, Pielot, R, Smalla, K H, Tang, H, Tashman, K, Toonen, R F G, Verpelli, C, Reig-Viader, R, Watanabe, K, van Weering, J, Achsel, T, Ashrafi, G, Asi, N, Brown, T C, De Camilli, P, Feuermann, M, Foulger, R E, Gaudet, P, Joglekar, A, Kanellopoulos, A, Malenka, R, Nicoll, R A, Pulido, C, de Juan-Sanz, J, Sheng, M, Südhof, T C, Tilgner, H U, Bagni, C, Bayés, À, Biederer, T, Brose, N, Chua, J J E, Dieterich, D C, Gundelfinger, E D, Hoogenraad, C, Huganir, R L, Jahn, R, Kaeser, P S, Kim, E, Kreutz, M R, McPherson, P S, Neale, B M, O'Connor, V, Posthuma, D, Ryan, T A, Sala, C, Feng, G, Hyman, S E, Thomas, P D, Smit, A B & 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
NEURON
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname
PMC
Neuron, 103(2), 217-234.e4. Cell Press
ISSN: 0896-6273
DOI: 10.1016/j.neuron.2019.05.002
Popis: © 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.
Databáze: OpenAIRE