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Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
Authors:Ramya Raviram  Pedro P. Rocha  Vincent M. Luo  Emily Swanzey  Emily R. Miraldi  Cédric Feschotte  Richard Bonneau  Jane A. Skok
Affiliation:1.Department of Pathology,New York University School of Medicine,New York,USA;2.Department of Biology,New York University,New York,USA;3.Ludwig Institute for Cancer Research,La Jolla,USA;4.Division of Developmental Biology,Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH,Bethesda,USA;5.Department of Developmental Genetics,New York University School of Medicine,New York,USA;6.Department of Computer Science,Courant Institute of Mathematical Sciences,New York,USA;7.Simons Center for Data Analysis,New York,USA;8.Divisions of Immunobiology and Biomedical Informatics,Cincinnati Children’s Hospital,Cincinnati,USA;9.BioFrontiers Institute, Department of Molecular, Cellular, and Developmental Biology,University of Colorado Boulder,Boulder,USA;10.Department of Molecular Biology and Genetics,Cornell University,Ithaca,USA
Abstract:

Background

The organization of chromatin in the nucleus plays an essential role in gene regulation. About half of the mammalian genome comprises transposable elements. Given their repetitive nature, reads associated with these elements are generally discarded or randomly distributed among elements of the same type in genome-wide analyses. Thus, it is challenging to identify the activities and properties of individual transposons. As a result, we only have a partial understanding of how transposons contribute to chromatin folding and how they impact gene regulation.

Results

Using PCR and Capture-based chromosome conformation capture (3C) approaches, collectively called 4Tran, we take advantage of the repetitive nature of transposons to capture interactions from multiple copies of endogenous retrovirus (ERVs) in the human and mouse genomes. With 4Tran-PCR, reads are selectively mapped to unique regions in the genome. This enables the identification of transposable element interaction profiles for individual ERV families and integration events specific to particular genomes. With this approach, we demonstrate that transposons engage in long-range intra-chromosomal interactions guided by the separation of chromosomes into A and B compartments as well as topologically associated domains (TADs). In contrast to 4Tran-PCR, Capture-4Tran can uniquely identify both ends of an interaction that involve retroviral repeat sequences, providing a powerful tool for uncovering the individual transposable element insertions that interact with and potentially regulate target genes.

Conclusions

4Tran provides new insight into the manner in which transposons contribute to chromosome architecture and identifies target genes that transposable elements can potentially control.
Keywords:
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