학술논문
Stress resilience is promoted by a Zfp189-driven transcriptional network in prefrontal cortex
Document Type
Article
Author
Lorsch, Zachary; Hamilton, Peter; Ramakrishnan, Aarthi; Parise, Eric; Salery, Marine; Wright, William; Lepack, Ashley; Mews, Philipp; Issler, Orna; McKenzie, Andrew; Zhou, Xianxiao; Parise, Lyonna; Pirpinias, Stephen; Ortiz Torres, Idelisse; Kronman, Hope; Montgomery, Sarah; Loh, Yong-Hwee; Labonté, Benoit; Conkey, Andrew; Symonds, Ann; Neve, Rachael; Turecki, Gustavo; Maze, Ian; Dong, Yan; Zhang, Bin; Shen, Li; Bagot, Rosemary; Nestler, Eric
Source
Nature Neuroscience; 20240101, Issue: Preprints p1-11, 11p
Subject
Language
ISSN
10976256; 15461726
Abstract
Understanding the transcriptional changes that are engaged in stress resilience may reveal novel antidepressant targets. Here we use gene co-expression analysis of RNA-sequencing data from brains of resilient mice to identify a gene network that is unique to resilience. Zfp189, which encodes a previously unstudied zinc finger protein, is the highest-ranked key driver gene in the network, and overexpression of Zfp189in prefrontal cortical neurons preferentially activates this network and promotes behavioral resilience. The transcription factor CREB is a predicted upstream regulator of this network and binds to the Zfp189promoter. To probe CREB–Zfp189interactions, we employ CRISPR-mediated locus-specific transcriptional reprogramming to direct CREB or G9a (a repressive histone methyltransferase) to the Zfp189promoter in prefrontal cortex neurons. Induction of Zfp189with site-specific CREB is pro-resilient, whereas suppressing Zfp189expression with G9a increases susceptibility. These findings reveal an essential role for Zfp189and CREB–Zfp189interactions in mediating a central transcriptional network of resilience. Researchers identify a transcriptional network engaged in stress-resilient mice that is regulated by a previously unstudied transcription factor, Zfp189, and elucidate molecular mechanisms controlling this network and resilience behavior.