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Evolutionary stability of topologically associating domains is associated with conserved gene regulation

Overview of attention for article published in BMC Biology, August 2018
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Title
Evolutionary stability of topologically associating domains is associated with conserved gene regulation
Published in
BMC Biology, August 2018
DOI 10.1186/s12915-018-0556-x
Pubmed ID
Authors

Jan Krefting, Miguel A. Andrade-Navarro, Jonas Ibn-Salem

Abstract

The human genome is highly organized in the three-dimensional nucleus. Chromosomes fold locally into topologically associating domains (TADs) defined by increased intra-domain chromatin contacts. TADs contribute to gene regulation by restricting chromatin interactions of regulatory sequences, such as enhancers, with their target genes. Disruption of TADs can result in altered gene expression and is associated to genetic diseases and cancers. However, it is not clear to which extent TAD regions are conserved in evolution and whether disruption of TADs by evolutionary rearrangements can alter gene expression. Here, we hypothesize that TADs represent essential functional units of genomes, which are stable against rearrangements during evolution. We investigate this using whole-genome alignments to identify evolutionary rearrangement breakpoints of different vertebrate species. Rearrangement breakpoints are strongly enriched at TAD boundaries and depleted within TADs across species. Furthermore, using gene expression data across many tissues in mouse and human, we show that genes within TADs have more conserved expression patterns. Disruption of TADs by evolutionary rearrangements is associated with changes in gene expression profiles, consistent with a functional role of TADs in gene expression regulation. Together, these results indicate that TADs are conserved building blocks of genomes with regulatory functions that are often reshuffled as a whole instead of being disrupted by rearrangements.

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The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 200 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 28%
Researcher 31 16%
Student > Master 22 11%
Student > Doctoral Student 11 6%
Student > Bachelor 10 5%
Other 20 10%
Unknown 50 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 87 44%
Agricultural and Biological Sciences 39 20%
Medicine and Dentistry 6 3%
Computer Science 6 3%
Neuroscience 3 2%
Other 8 4%
Unknown 51 26%