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Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations
Epilepsy is a highly prevalent neurological disorder characterized by recurrent seizures. Patients exhibit broad genetic, molecular, and clinical diversity involving mild to severe comorbidities. The factors that contribute to this phenotypic diversity remain unclear. We used publicly available data...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274872/ https://www.ncbi.nlm.nih.gov/pubmed/37333355 http://dx.doi.org/10.1101/2023.06.09.544142 |
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author | Chi, Wanhao Kiskinis, Evangelos |
author_facet | Chi, Wanhao Kiskinis, Evangelos |
author_sort | Chi, Wanhao |
collection | PubMed |
description | Epilepsy is a highly prevalent neurological disorder characterized by recurrent seizures. Patients exhibit broad genetic, molecular, and clinical diversity involving mild to severe comorbidities. The factors that contribute to this phenotypic diversity remain unclear. We used publicly available datasets to systematically interrogate the expression pattern of 247 epilepsy-associated genes across human tissues, developmental stages, and central nervous system (CNS) cellular subtypes. We grouped genes based on their curated phenotypes into 3 broad classes: core epilepsy genes (CEG), where seizures are the core syndrome, developmental and epileptic encephalopathy genes (DEEG) that are associated with developmental delay, and seizure-related genes (SRG), which are characterized by developmental delay and gross brain malformations. We find that DEEGs are highly expressed within the CNS, while SRGs are most abundant in non-CNS tissues. DEEGs and CEGs exhibit highly dynamic expression in various brain regions across development, spiking during the prenatal to infancy transition. Lastly, the abundance of CEGs and SRGs is comparable within cellular subtypes in the brain, while the average expression level of DEEGs is significantly higher in GABAergic neurons and non-neuronal cells. Our analysis provides an overview of the expression pattern of epilepsy-associated genes with spatiotemporal resolution and establishes a broad expression-phenotype correlation in epilepsy. |
format | Online Article Text |
id | pubmed-10274872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-102748722023-06-17 Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations Chi, Wanhao Kiskinis, Evangelos bioRxiv Article Epilepsy is a highly prevalent neurological disorder characterized by recurrent seizures. Patients exhibit broad genetic, molecular, and clinical diversity involving mild to severe comorbidities. The factors that contribute to this phenotypic diversity remain unclear. We used publicly available datasets to systematically interrogate the expression pattern of 247 epilepsy-associated genes across human tissues, developmental stages, and central nervous system (CNS) cellular subtypes. We grouped genes based on their curated phenotypes into 3 broad classes: core epilepsy genes (CEG), where seizures are the core syndrome, developmental and epileptic encephalopathy genes (DEEG) that are associated with developmental delay, and seizure-related genes (SRG), which are characterized by developmental delay and gross brain malformations. We find that DEEGs are highly expressed within the CNS, while SRGs are most abundant in non-CNS tissues. DEEGs and CEGs exhibit highly dynamic expression in various brain regions across development, spiking during the prenatal to infancy transition. Lastly, the abundance of CEGs and SRGs is comparable within cellular subtypes in the brain, while the average expression level of DEEGs is significantly higher in GABAergic neurons and non-neuronal cells. Our analysis provides an overview of the expression pattern of epilepsy-associated genes with spatiotemporal resolution and establishes a broad expression-phenotype correlation in epilepsy. Cold Spring Harbor Laboratory 2023-06-11 /pmc/articles/PMC10274872/ /pubmed/37333355 http://dx.doi.org/10.1101/2023.06.09.544142 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Chi, Wanhao Kiskinis, Evangelos Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations |
title | Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations |
title_full | Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations |
title_fullStr | Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations |
title_full_unstemmed | Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations |
title_short | Integrative Analysis of Epilepsy-Associated Genes Reveals Expression-Phenotype Correlations |
title_sort | integrative analysis of epilepsy-associated genes reveals expression-phenotype correlations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10274872/ https://www.ncbi.nlm.nih.gov/pubmed/37333355 http://dx.doi.org/10.1101/2023.06.09.544142 |
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