Genomics

Dataset Information

0

Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolution


ABSTRACT: Chromatin Immunoprecipitation followed by sequencing (ChIP-seq) has been instrumental to our current view of chromatin structure and function. It allows genome-wide mapping of histone marks, which demarcate biologically relevant domains. However, ChIP-seq is an ensemble measurement reporting the average occupancy of individual marks in a cell population. Consequently, our understanding of the combinatorial nature of chromatin states relies almost exclusively on correlation between the genomic distributions of individual marks. Here, we report the development of Combinatorial-iChIP to determine the genome-wide co-occurrence of histone marks at single nucleosome resolution. By comparing to null model, we show that certain combinations of overlapping marks (H3K36me3 and H3K79me3) co-occur more frequently than expected by chance, while others (H3K4me3 and H3K36me3) do not, reflecting differences in the underlying chromatin pathways. We further use combinatorial-iChIP to illuminate aspects of the Set2-RPD3S pathway. This approach promises to improve our understanding of the combinatorial complexity of chromatin.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE84240 | GEO | 2016/08/02

SECONDARY ACCESSION(S): PRJNA328453

REPOSITORIES: GEO

Similar Datasets

2016-08-02 | E-GEOD-84240 | biostudies-arrayexpress
2011-03-31 | E-GEOD-26020 | biostudies-arrayexpress
2023-07-03 | PXD043381 | iProX
2011-12-08 | E-MEXP-3217 | biostudies-arrayexpress
2007-05-16 | E-TABM-260 | biostudies-arrayexpress
2017-10-09 | PXD007582 | Pride
2016-02-04 | GSE66821 | GEO
2014-08-08 | GSE59992 | GEO
2014-08-08 | GSE59636 | GEO
2014-08-08 | GSE60101 | GEO