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Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery

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 netw...

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Autores principales: Delahaye-Duriez, Andree, Srivastava, Prashant, Shkura, Kirill, Langley, Sarah R., Laaniste, Liisi, Moreno-Moral, Aida, Danis, Bénédicte, Mazzuferi, Manuela, Foerch, Patrik, Gazina, Elena V., Richards, Kay, Petrou, Steven, Kaminski, Rafal M., Petretto, Enrico, Johnson, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154105/
https://www.ncbi.nlm.nih.gov/pubmed/27955713
http://dx.doi.org/10.1186/s13059-016-1097-7
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author Delahaye-Duriez, Andree
Srivastava, Prashant
Shkura, Kirill
Langley, Sarah R.
Laaniste, Liisi
Moreno-Moral, Aida
Danis, Bénédicte
Mazzuferi, Manuela
Foerch, Patrik
Gazina, Elena V.
Richards, Kay
Petrou, Steven
Kaminski, Rafal M.
Petretto, Enrico
Johnson, Michael R.
author_facet Delahaye-Duriez, Andree
Srivastava, Prashant
Shkura, Kirill
Langley, Sarah R.
Laaniste, Liisi
Moreno-Moral, Aida
Danis, Bénédicte
Mazzuferi, Manuela
Foerch, Patrik
Gazina, Elena V.
Richards, Kay
Petrou, Steven
Kaminski, Rafal M.
Petretto, Enrico
Johnson, Michael R.
author_sort Delahaye-Duriez, Andree
collection PubMed
description 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 identified 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 the 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 the M30 network were preferentially disrupted by deleterious de novo mutations for monogenic epilepsy, in line with the centrality-lethality hypothesis. Analysis of M30 expression revealed consistent downregulation 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 downregulation 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1097-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-51541052016-12-20 Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery Delahaye-Duriez, Andree Srivastava, Prashant Shkura, Kirill Langley, Sarah R. Laaniste, Liisi Moreno-Moral, Aida Danis, Bénédicte Mazzuferi, Manuela Foerch, Patrik Gazina, Elena V. Richards, Kay Petrou, Steven Kaminski, Rafal M. Petretto, Enrico Johnson, Michael R. Genome Biol Research 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 identified 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 the 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 the M30 network were preferentially disrupted by deleterious de novo mutations for monogenic epilepsy, in line with the centrality-lethality hypothesis. Analysis of M30 expression revealed consistent downregulation 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 downregulation 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1097-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-13 /pmc/articles/PMC5154105/ /pubmed/27955713 http://dx.doi.org/10.1186/s13059-016-1097-7 Text en © The Author(s). 2016 Open AccessThis 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.
spellingShingle Research
Delahaye-Duriez, Andree
Srivastava, Prashant
Shkura, Kirill
Langley, Sarah R.
Laaniste, Liisi
Moreno-Moral, Aida
Danis, Bénédicte
Mazzuferi, Manuela
Foerch, Patrik
Gazina, Elena V.
Richards, Kay
Petrou, Steven
Kaminski, Rafal M.
Petretto, Enrico
Johnson, Michael R.
Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
title Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
title_full Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
title_fullStr Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
title_full_unstemmed Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
title_short Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
title_sort rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154105/
https://www.ncbi.nlm.nih.gov/pubmed/27955713
http://dx.doi.org/10.1186/s13059-016-1097-7
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