Nature CommunicationsMolecular BiologyPeer-reviewed journal article
Long non-coding RNAs direct the SWI/SNF complex to cell-specific enhancers
James A. OoiD, Timothy WarwickiD, Katalin PálfiiD, Frederike LamiD, François McNicolliD, Cristian Prieto‐GarciaiD, Stefan GüntheriD, Can CaoiD, Yinuo Zhou, Alexey A. GavriloviD, Sergey V. RaziniD, Alfredo Cabrera‐OreficeiD, Ilka WittigiD, Soni Savai PullamsettiiD, Leo KurianiD, Ralf GilsbachiD, Marcel H. SchulziD, Ivan ĐikićiD, Michaela Müller-McNicolliD, Ralf Peter BrandesiD, Matthias S. LeisegangiD
Abstract
The coordination of chromatin remodeling is essential for DNA accessibility and gene expression control1. 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 expression2. Despite the absence of a defined DNA recognition motif, SWI/SNF binds lineage specific enhancers genome-wide where it actively maintains open chromatin state2-5. It does so while retaining the ability to respond dynamically to cellular signals4. 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 a competitive recruitment of SWI/SNF by lncRNAs which provide a specific and dynamic layer of control in chromatin accessibility and gene expression.
- organism: human
- assay: ChIP-seq
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 26
- FWCI
- 7.76
- Field percentile
- top 2%
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