paperKB
coga / coga-kb
Help
Sign in

Chunk #51 — Integrating omics into addiction studies — Transcriptomics.

Source
Genetics of substance use disorders in the era of big data.
Embedded
yes

Text

Another approach to investigate transcriptomic changes is based on cultured cell line models. In induced pluripotent stem cell (iPSC)-derived neural cell cultures obtained from healthy individuals and those with AD, significant changes in the expression of the candidate loci GABRA1, GABRG2, and GABRD were observed following 21-day alcohol exposure152. A model based on forebrain neural cells showed a module of 58 co-expressed genes that were uniformly decreased following alcohol exposure153. These alcohol-responsive genes are related to biological functions related to cell cycle, Notch signalling, and cholesterol biosynthesis pathways. An early neural differentiation model showed a wide range of ethanol-mediated transcriptional alterations, including a strong association among modulators involved in protein modification, protein synthesis, and gene expression154. A dopaminergic neuronal model based on SH-SY5Y-differentiated cells showed that cocaine exposure is associated with transcriptomic changes in genes involved in transcription regulation, cell cycle, adhesion, cell projection, mitogen-activated protein kinase, cAMP response element-binding protein, and neurotrophin and neuregulin signalling155. In the same model, cocaine exposure was associated with the down-regulation of several microRNAs, which are involved in post-transcriptional regulation of gene expression in