| Literature DB >> 27181059 |
Rosemary C Bagot1, Hannah M Cates1, Immanuel Purushothaman1, Zachary S Lorsch1, Deena M Walker1, Junshi Wang2, Xiaojie Huang2, Oliver M Schlüter2, Ian Maze1, Catherine J Peña1, Elizabeth A Heller3, Orna Issler1, Minghui Wang4, Won-Min Song4, Jason L Stein5, Xiaochuan Liu1, Marie A Doyle1, Kimberly N Scobie1, Hao Sheng Sun1, Rachael L Neve6, Daniel Geschwind7, Yan Dong2, Li Shen8, Bin Zhang9, Eric J Nestler10.
Abstract
Depression is a complex, heterogeneous disorder and a leading contributor to the global burden of disease. Most previous research has focused on individual brain regions and genes contributing to depression. However, emerging evidence in humans and animal models suggests that dysregulated circuit function and gene expression across multiple brain regions drive depressive phenotypes. Here, we performed RNA sequencing on four brain regions from control animals and those susceptible or resilient to chronic social defeat stress at multiple time points. We employed an integrative network biology approach to identify transcriptional networks and key driver genes that regulate susceptibility to depressive-like symptoms. Further, we validated in vivo several key drivers and their associated transcriptional networks that regulate depression susceptibility and confirmed their functional significance at the levels of gene transcription, synaptic regulation, and behavior. Our study reveals novel transcriptional networks that control stress susceptibility and offers fundamentally new leads for antidepressant drug discovery.Entities:
Mesh:
Year: 2016 PMID: 27181059 PMCID: PMC4896746 DOI: 10.1016/j.neuron.2016.04.015
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 17.173