Other

Dataset Information

0

Invariant TAD boundaries constrain cell type-specific looping interactions between promoters and distal elements around the CFTR locus.


ABSTRACT: Three-dimensional genome structure plays an important role in gene regulation. Globally chromosomes are organized into active and inactive compartments, while at the gene level looping interactions connect promoters to regulatory elements. Topologically Associating Domains (TADs), typically several hundred kilobases in size form an intermediate level of organization. Major questions include how TADs are formed and what their relation is with looping interactions between genes and regulatory elements. Here we performed a focused 5C analysis of a 2.8 Mb region on chromosome 7 surrounding CFTR in a panel of cell types. We find that the same TAD boundaries are present in all cell types, indicating that TADs represent a universal chromosome architecture. Further, we find that these TAD boundaries are present irrespective of expression and looping of genes located between them. In contrast looping interactions between promoters and regulatory elements are cell-type specific and occur mostly within TADs. This is exemplified by the CFTR promoter that in different cell types interacts with distinct sets of distal cell type-specific regulatory elements that are all located within the same TAD. Finally, we find that long-range associations between loci located in different TADs are also detected but these display much lower interaction frequencies than looping interactions within TADs. Interestingly, interactions between TADs are also highly cell type-specific and often involve loci clustered around TAD boundaries. These data point to key roles of invariant TAD boundaries in constraining as well as mediating cell type-specific long-range interactions and gene regulation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE75634 | GEO | 2016/01/07

SECONDARY ACCESSION(S): PRJNA304769

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-01-07 | E-GEOD-75634 | biostudies-arrayexpress
2016-01-07 | E-GEOD-74709 | biostudies-arrayexpress
| PRJNA304769 | ENA
2015-10-26 | E-GEOD-69013 | biostudies-arrayexpress
2016-01-07 | GSE74709 | GEO
2018-05-30 | GSE115063 | GEO
2018-05-30 | GSE115062 | GEO
2018-05-30 | GSE115064 | GEO
2018-05-31 | GSE101921 | GEO
2024-04-04 | GSE263270 | GEO