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Series GSE156385 Query DataSets for GSE156385
Status Public on Apr 24, 2022
Title Stochastic models of nucleosome dynamics reveal regulatory rules of stimulus-induced epigenome remodeling
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary The genomic positions of nucleosomes are a defining feature of the epigenomic state and hence of cell identity. Signal-dependent transcription factors (SDTFs), upon activation, modify the positioning of nucleosomes and cause epigenome remodeling. Here, we developed Markov models of nucleosome wrapping and unwrapping, and fit them to high resolution deep sequencing data of DNA accessibility to reveal biophysical principles of nucleosome dynamics. We found that 1) the dynamics of DNA unwrapping are significantly slower in vivo than reported from in vitro experimental data, 2) there is clear evidence for cooperativity in wrapping and unwrapping, 3) SDTF activity produced highest eviction probability when its binding site is close to but not on top of the nucleosome dyad, and 4) oscillatory SDTFs produce more variability than constant SDTF activities. Our work uncovers the regulatory rules governing nucleosome dynamics in vivo, which can predict epigenomic alterations during inflammation at single nucleosome resolution.
 
Overall design Paired-end ATAC-sequencing of mutant macrophage cells at 0hrs and treated with TNF and LPS at 4hrs.
 
Contributor(s) Sheu KM, Hoffmann A, Kim J, Enciso G
Citation(s) 35830792
Submission date Aug 18, 2020
Last update date Sep 28, 2023
Contact name Katherine M Sheu
E-mail(s) katherinesheu@ucla.edu
Organization name UCLA
Street address 611 Charles E Young Dr E
City Los Angeles
State/province CA
ZIP/Postal code 90095
Country USA
 
Platforms (2)
GPL21493 Illumina HiSeq 3000 (Mus musculus)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (4)
GSM4730005 4KO_0hr
GSM4730006 4KO_4hr
GSM5678258 WT_LPS0hr
Relations
BioProject PRJNA657750
SRA SRP277892

Download family Format
SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE156385_RAW.tar 2.4 Gb (http)(custom) TAR (of BIGWIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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