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Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
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Title: | Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery |
Authors: | Delahaye-Duriez, A Srivastava, P Shkura, K Langley, SR Laaniste, L Moreno-Moral, A Danis, B Foerch, P Gazina, EV Richards, K Petrou, S Kaminski, R Petretto, E Johnson, MR |
Item Type: | Journal Article |
Abstract: | Background The relationship between monogenic and polygenic forms of epilepsy is poorly understood, and the extent to which the genetic and acquired epilepsies share common pathways is unclear. Here, we use an integrated systems-level analysis of brain gene expression data to identify molecular networks disrupted in epilepsy. Results We identify a co-expression network of 320 genes (M30), which is significantly enriched for non-synonymous de novo mutations ascertained from patients with monogenic epilepsy, and for common variants associated with polygenic epilepsy. The genes in M30 network are expressed widely in the human brain under tight developmental control, and encode physically interacting proteins involved in synaptic processes. The most highly connected proteins within M30 network are preferentially disrupted by deleterious de novo mutations for monogenic epilepsy, in line with the centrality-lethality hypothesis. Analysis of M30 expression revealed consistent down-regulation in the epileptic brain in heterogeneous forms of epilepsy including human temporal lobe epilepsy, a mouse model of acquired temporal lobe epilepsy, and a mouse model of monogenic Dravet (SCN1A) disease. These results suggest functional disruption of M30 via gene mutation or altered expression as a convergent mechanism regulating susceptibility to epilepsy broadly. Using the large collection of drug-induced gene expression data from Connectivity Map, several drugs were predicted to preferentially restore the down-regulation of M30 in epilepsy toward health, most notably valproic acid, whose effect on M30 expression was replicated in neurons. Conclusions Taken together, our results suggest targeting the expression of M30 as a potential new therapeutic strategy in epilepsy. |
Issue Date: | 13-Dec-2016 |
Date of Acceptance: | 2-Nov-2016 |
URI: | http://hdl.handle.net/10044/1/42291 |
DOI: | https://dx.doi.org/10.1186/s13059-016-1097-7 |
ISSN: | 1474-760X |
Publisher: | BioMed Central |
Journal / Book Title: | Genome Biology |
Volume: | 17 |
Copyright Statement: | © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
Sponsor/Funder: | Commission of the European Communities Commission of the European Communities UCB Biopharma SPRL Imperial College Healthcare NHS Trust- BRC Funding |
Funder's Grant Number: | 602102 626229 4400109351 RDA03 |
Keywords: | Science & Technology Life Sciences & Biomedicine Biotechnology & Applied Microbiology Genetics & Heredity Epilepsy Systems genetics Co-expression Regulatory network Protein-protein interactions Epileptic encephalopathy SCN1A Valproic acid DE-NOVO MUTATIONS TEMPORAL-LOBE EPILEPSY ADULT HUMAN BRAIN PROTEIN-INTERACTION NETWORKS GENOME-WIDE ASSOCIATION INTELLECTUAL DISABILITY COEXPRESSION NETWORKS TOPOLOGICAL FEATURES PILOCARPINE MODEL VALPROIC ACID Bioinformatics 05 Environmental Sciences 06 Biological Sciences 08 Information And Computing Sciences |
Publication Status: | Published |
Article Number: | 245 |
Appears in Collections: | Department of Medicine (up to 2019) |