Logo image
Molecular signatures of mood stabilisers highlight the role of the transcription factor REST/NRSF
Journal article   Open access   Peer reviewed

Molecular signatures of mood stabilisers highlight the role of the transcription factor REST/NRSF

A. Warburton, A.L. Savage, P. Myers, D. Peeney, V.J. Bubb and J.P. Quinn
Journal of Affective Disorders, Vol.172, pp.63-73
2015
pdf
Molecular signatures of mood stabilisers highlight the role of the transcription factor REST NRSF.pdfDownloadView
Published (Version of Record)CC BY V4.0 Open Access
url
Free to Read *No subscription requiredView

Abstract

Background The purpose of this study was to address the affects of mood modifying drugs on the transcriptome, in a tissue culture model, using qPCR arrays as a cost effective approach to identifying regulatory networks and pathways that might coordinate the cell response to a specific drug. Methods We addressed the gene expression profile of 90 plus genes associated with human mood disorders using the StellARray™ qPCR gene expression system in the human derived SH-SY5Y neuroblastoma cell line. Results Global Pattern Recognition (GPR) analysis identified a total of 9 genes (DRD3⁎, FOS†, JUN⁎, GAD1⁎†, NRG1⁎, PAFAH1B3⁎, PER3⁎, RELN⁎ and RGS4⁎) to be significantly regulated in response to cellular challenge with the mood stabilisers sodium valproate (⁎) and lithium (†). Modulation of FOS and JUN highlights the importance of the activator protein 1 (AP-1) transcription factor pathway in the cell response. Enrichment analysis of transcriptional networks relating to this gene set also identified the transcription factor neuron restrictive silencing factor (NRSF) and the oestrogen receptor as an important regulatory mechanism. Limitations Cell line models offer a window of what might happen in vivo but have the benefit of being human derived and homogenous with regard to cell type. Conclusions This data highlights transcription factor pathways, acting synergistically or separately, in the modulation of specific neuronal gene networks in response to mood stabilising drugs. This model can be utilised in the comparison of the action of multiple drug regimes or for initial screening purposes to inform optimal drug design.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

13 File views/ downloads
35 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics
3 Agriculture, Environment & Ecology
3.16 Phytochemicals
3.16.2410 Medicinal Plant Extracts
Web Of Science research areas
Clinical Neurology
Psychiatry
ESI research areas
Psychiatry/Psychology
Logo image