Publication

Insulator function and topological domain border strength scale with architectural protein occupancy

Downloadable Content

Persistent URL
Last modified
  • 02/20/2025
Type of Material
Authors
    Kevin Van Bortle, Emory UniversityMichael H Nichols, Emory UniversityLi Li, Emory UniversityOng Chin-Tong, Emory UniversityNaomi Takenaka, Emory UniversityZhaohui Qin, Emory UniversityVictor Corces, Emory University
Language
  • English
Date
  • 2014-01-01
Publisher
  • BioMed Central
Publication Version
Copyright Statement
  • © 2014 Van Bortle et al.; licensee BioMed Central Ltd.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1465-6906
Volume
  • 15
Issue
  • 6
Start Page
  • R82
End Page
  • R82
Grant/Funding Information
  • This work was supported by US Public Health Service Award R01GM035463 from the National Institutes of Health.
  • The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
  • We thank the Drosophila Genomic Resource Center (supported by NIH grant OD010949-10) for reagents, and The Genomic Services Lab at the HudsonAlpha Institute for Biotechnology for their help in performing Illumina sequencing of ChIP-Seq samples.
Supplemental Material (URL)
Abstract
  • Chromosome conformation capture studies suggest that eukaryotic genomes are organized into structures called topologically associating domains. The borders of these domains are highly enriched for architectural proteins with characterized roles in insulator function. However, a majority of architectural protein binding sites localize within topological domains, suggesting sites associated with domain borders represent a functionally different subclass of these regulatory elements. How topologically associating domains are established and what differentiates border-associated from non-border architectural protein binding sites remain unanswered questions.
Author Notes
Keywords
Research Categories
  • Biology, Bioinformatics
  • Biology, Biostatistics

Tools

Relations

In Collection:

Items