Long non-coding RNAs direct the SWI/SNF complex to cell type-specific enhancers
1 January 2025·,,,,,,,,,,,,,,,,,,,,·
0 min read
James A. Oo
Dr. Timothy Warwick
Katalin Pálfi
Frederike Lam
Francois McNicoll
Cristian Prieto-Garcia
Stefan Günther
Can Cao
Yinuo Zhou
Alexey A. Gavrilov
Sergey V. Razin
Alfredo Cabrera-Orefice
Ilka Wittig
Soni Savai Pullamsetti
Leo Kurian
Ralf Gilsbach
Marcel H. Schulz
Ivan Dikic
Michaela Müller-McNicoll
Ralf P. Brandes
Matthias S. Leisegang
Abstract
The coordination of chromatin remodeling is essential for DNA accessibility and gene expression control. The highly conserved and ubiquitously expressed SWItch/Sucrose Non-Fermentable (SWI/SNF) chromatin remodeling complex plays a central role in cell type- and context-dependent gene expression. Despite the absence of a defined DNA recognition motif, SWI/SNF binds lineage specific enhancers genome-wide where it actively maintains open chromatin state. It does so while retaining the ability to respond dynamically to cellular signals. However, the mechanisms that guide SWI/SNF to specific genomic targets have remained elusive. Here we demonstrate that trans-acting long non-coding RNAs (lncRNAs) direct the SWI/SNF complex to cell type-specific enhancers. SWI/SNF preferentially binds lncRNAs and these predominantly bind DNA targets in trans. Together they localize to enhancers, many of which are cell type-specific. Knockdown of SWI/SNF- and enhancer-bound lncRNAs causes the genome-wide redistribution of SWI/SNF away from enhancers and a concomitant differential expression of spatially connected target genes. These lncRNA-SWI/SNF-enhancer networks support an enhancer hub model of SWI/SNF genomic targeting. Our findings reveal that lncRNAs competitively recruit SWI/SNF, providing a specific and dynamic layer of control over chromatin accessibility, and reinforcing their role in mediating enhancer activity and gene expression.
Type
Publication
Nature Communications
Authors
Dr. Timothy Warwick
(he/him)
Senior AI Research Scientist
Alex Johnson is a Senior AI Research Scientist at Meta AI. His research
has been published in top conferences like NeurIPS and ICML, with over
10,000 citations. Alex is passionate about pushing the boundaries of AI
while ensuring ethical development.