Transcriptomic and epigenomic dynamics associated with development of human iPSC-derived GABAergic interneurons
Year: 2020
Type: article
Abstract: GABAergic interneurons (GINs) are a heterogeneous population of inhibitory neurons that collectively contribute to the maintenance of normal neuronal excitability and network activity. Identification of the genetic regulatory elements and transcription factors that contribute toward GIN function may provide new insight into the pathways underlying proper GIN activity while also indicating potential therapeutic targets for GIN-associated disorders, such as schizophrenia and epilepsy. In this study, we examined the temporal changes in gene expression and chromatin accessibility during GIN development by performing transcriptomic and epigenomic analyses on human induced pluripotent stem cell-derived neurons at 22, 50 and 78 days (D) post-differentiation. We observed 13 221 differentially accessible regions (DARs) of chromatin that associate with temporal changes in gene expression at D78 and D50, relative to D22. We also classified families of transcription factors that are increasingly enriched at DARs during differentiation, indicating regulatory networks that likely drive GIN development. Collectively, these data provide a resource for examining the molecular networks regulating GIN functionality.
Source: Human Molecular Genetics
DOI: 10.1093/hmg/ddaa150
Institution: Emory University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,390
Awards: Training in Translational Research in Neurology, MODELING TSC AND TRANSLATING FOR THERAPEUTICS WITH HUMAN CEREBRAL ORGANOIDS., Chaperone-mediated Autophagy and Synaptic Dysfunction in Parkinson's Disease, Towards a Better Understanding of SCN8A-Derived Epilepsy, G6367328219, Towards a better understanding of the regulation of the SCN1A sodium channel, G8159434103, Engineering a human brain organoid-based platform to study neurotropic viruses
OpenAlex ID: W3043819789
