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  4. Chromosome-level organization of the regulatory genome in the Drosophila nervous system
 
research article

Chromosome-level organization of the regulatory genome in the Drosophila nervous system

Mohana, Giriram
•
Dorier, Julien  
•
Li, Xiao
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August 31, 2023
Cell

Previous studies have identified topologically associating domains (TADs) as basic units of genome organization. We present evidence of a previously unreported level of genome folding, where distant TAD pairs, megabases apart, interact to form meta-domains. Within meta-domains, gene promoters and structural intergenic elements present in distant TADs are specifically paired. The associated genes encode neuronal determinants, including those engaged in axonal guidance and adhesion. These long-range associations occur in a large fraction of neurons but support transcription in only a subset of neurons. Meta-domains are formed by diverse transcription factors that are able to pair over long and flexible distances. We present evidence that two such factors, GAF and CTCF, play direct roles in this process. The relative simplicity of higher-order meta-domain interactions in Drosophila, compared with those previously described in mammals, allowed the demonstration that genomes can fold into highly specialized cell-type-specific scaffolds that enable mega base-scale regulatory associations.

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Type
research article
DOI
10.1016/j.cell.2023.07.008
Web of Science ID

WOS:001075282100001

Author(s)
Mohana, Giriram
Dorier, Julien  
Li, Xiao
Mouginot, Marion
Smith, Rebecca C.  
Malek, Helena
Leleu, Marion  
Rodriguez, Daniel
Khadka, Jenisha
Rosa, Patrycja
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Date Issued

2023-08-31

Published in
Cell
Volume

186

Issue

18

Start page

3826

End page
Subjects

Biochemistry & Molecular Biology

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Cell Biology

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Biochemistry & Molecular Biology

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Cell Biology

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long-range interactions

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r package

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enhancer

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principles

•

reveals

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domains

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transcription

•

activation

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alignment

•

dynamics

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
BICC  
Available on Infoscience
October 23, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/201808
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