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Epigenetic Regulations of GABAergic Neurotransmission: Relevance for Neurological Disorders and Epigenetic Therapy
Open accessAbstract
The GABAergic neurotransmission is a highly conserved system that has been attributed to various regulatory events. There has been a notable number of studies on the importance of GABAergic neurotransmission, both excitatory and inhibitory, in neurogenesis and central nervous system development including its control of neuronal cell proliferation and migration, synaptogenesis, dendrite formation and branching, and new neuronal cell integration in the adult brain. There has been remarkable progress in understanding the epigenetic regulations of GABAergic genes and their aberrant expressions in various neurological disorders such as autism spectrum disorder, Rett's syndrome, schizophrenia and PWS. The roles of histone modifications, chromatin looping and gene methylation have been implicated in altered regulations of key genes in the GABAergic pathway. Taken together, they affect the functioning of GABAergic neurotransmission and disrupt various events in brain development. Here, we focus on the role of GABAergic neurotransmission in brain development and on how various genetic and epigenetic events regulate the GABAergic genes in pre- and postnatal brain. We also discuss how these regulatory mechanisms contribute to the pathogenesis of neurological disorders and, therefore, can be used in the development of potential epigenetic therapy for these diseases.
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Metadata
- Authors
- Shrestha, S., & Offer, S. M.
- Venue
- Medical Epigenetics
- Publisher
- S. Karger AG
- Published
- 2016-03-24
- Volume
- 4
- Issue
- 1
- Pages
- 1-19
- ISSN
- 1664-5561 (ISSN-L)
- OpenAlex
- W2320983896
- Cited by
- 8,914
- References
- 69
- FWCI
- 507.72
- Type
- journal article
- Language
- en
- Open access
- diamond
- Licence
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- creativecommons.org/licenses/by-nc-nd/4.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.