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Spatial density of open chromatin: an effective metric for the functional characterization of topologically associated domains
- Source :
- Briefings in Bioinformatics
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- Topologically associated domains (TADs) are spatial and functional units of metazoan chromatin structure. Interpretation of the interplay between regulatory factors and chromatin structure within TADs is crucial to understand the spatial and temporal regulation of gene expression. However, a computational metric for the sensitive characterization of TAD regulatory landscape is lacking. Here, we present the spatial density of open chromatin (SDOC) metric as a quantitative measurement of intra-TAD chromatin state and structure. SDOC sensitively reflects epigenetic properties and gene transcriptional activity in TADs. During mouse T-cell development, we found that TADs with decreased SDOC are enriched in repressed developmental genes, and the joint effect of SDOC-decreasing and TAD clustering corresponds to the highest level of gene repression. In addition, we revealed a pervasive preference for TADs with similar SDOC to interact with each other, which may reflect the principle of chromatin organization.
- Subjects :
- Epigenomics
AcademicSubjects/SCI01060
T-Lymphocytes
Computational biology
Biology
Cell Line
Developmental genes
03 medical and health sciences
0302 clinical medicine
Hi-C
Transcriptional regulation
Animals
Cluster Analysis
Humans
transcriptional regulation
RNA-Seq
Epigenetics
Molecular Biology
Gene
030304 developmental biology
Regulation of gene expression
Spatial density
0303 health sciences
Genome
topologically associated domains
Gene Expression Profiling
Computational Biology
Reproducibility of Results
Cell Differentiation
Chromatin Assembly and Disassembly
Chromatin
Metric (mathematics)
Problem Solving Protocol
K562 Cells
Algorithms
030217 neurology & neurosurgery
Information Systems
Subjects
Details
- ISSN :
- 14774054 and 14675463
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....4d7c9285870c8a75cf1f690169f7b048
- Full Text :
- https://doi.org/10.1093/bib/bbaa210