Functional and topological characteristics of mammalian regulatory domains
Long-range regulatory interactions play an important role in shaping gene-expression programs. However, the genomic features that organize these activities are still poorly characterized. We conducted a large operational analysis to chart the distribution of gene regulatory activities along the mous...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
January 7, 2014
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| In: |
Genome research
Year: 2014, Jahrgang: 24, Heft: 3, Pages: 390-400 |
| ISSN: | 1549-5469 |
| DOI: | 10.1101/gr.163519.113 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1101/gr.163519.113 Verlag, kostenfrei, Volltext: http://genome.cshlp.org/content/24/3/390 
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| Verfasserangaben: | Orsolya Symmons, Veli Vural Uslu, Taro Tsujimura, Sandra Ruf, Sonya Nassari, Wibke Schwarzer, Laurence Ettwiller, François Spitz |
| Zusammenfassung: | Long-range regulatory interactions play an important role in shaping gene-expression programs. However, the genomic features that organize these activities are still poorly characterized. We conducted a large operational analysis to chart the distribution of gene regulatory activities along the mouse genome, using hundreds of insertions of a regulatory sensor. We found that enhancers distribute their activities along broad regions and not in a gene-centric manner, defining large regulatory domains. Remarkably, these domains correlate strongly with the recently described TADs, which partition the genome into distinct self-interacting blocks. Different features, including specific repeats and CTCF-binding sites, correlate with the transition zones separating regulatory domains, and may help to further organize promiscuously distributed regulatory influences within large domains. These findings support a model of genomic organization where TADs confine regulatory activities to specific but large regulatory domains, contributing to the establishment of specific gene expression profiles. |
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| Beschreibung: | Gesehen am 24.05.2017 |
| Beschreibung: | Online Resource |
| ISSN: | 1549-5469 |
| DOI: | 10.1101/gr.163519.113 |