• Home
  • About
  • Repositories
  • Search
  • Web API
  • Feedback
<< Go Back

Metadata

Name
Genome-wide profiling of SWI/SNF chromatin remodeler BRAHMA (BRM) and BRM Interacting Protein 1/2 (BRIP1/2) in Arabidopsis
Repository
Gene Expression Omnibus
Identifier
geo.series:GSE142621
Description
SWI/SNF chromatin remodeling complexes control gene expression by regulating chromatin structure. However, the full subunit composition of SWI/SNF complexes in plants remains unclear. Here we show that BRAHMA Interacting Protein 1 (BRIP1) and BRIP2 in Arabidopsis thaliana are core subunits of plant SWI/SNF complexes. BRIP1 and 2 are two homolog proteins. brip1 brip2 double mutants exhibit developmental phenotypes and a transcriptome strikingly similar to those of BRAHMA (BRM) mutants. Genetic interaction tests indicated that BRIP1 and 2 act together with BRM to regulate gene expression. Furthermore, BRIP1 and 2 physically interact with BRM-containing SWI/SNF complexes, and extensively co-localize with BRM at endogenous genes. Loss-of-brip1brip2 results in decreased BRM occupancy at almost all BRM target genes and substantially reduced subunits incorporation into the BRM-containing SWI/SNF complexes. Together, our work identifies new core subunits of BRM-containing SWI/SNF complexes in plants, and uncovers the essential role of these subunits in regulating the integrity (assembly) of SWI/SNF complexes in plants.
Data or Study Types
Genome binding/occupancy profiling by high throughput sequencing
Source Organization
National Center for Biotechnology Information
Access Conditions
available
Year
2020
Access Hyperlink
http://www.ncbi.nlm.nih.gov/sites/GDSbrowser?acc=GSE142621

Distributions

  • Encoding Format: TXT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE142621/matrix/
  • Encoding Format: MINiML ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE142621/miniml/
  • Encoding Format: SOFT ; URL: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE1nnn/GSE142621/soft/
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.