Cargando…

Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Raviram, Ramya, Rocha, Pedro P., Luo, Vincent M., Swanzey, Emily, Miraldi, Emily R., Chuong, Edward B., Feschotte, Cédric, Bonneau, Richard, Skok, Jane A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292174/
https://www.ncbi.nlm.nih.gov/pubmed/30541598
http://dx.doi.org/10.1186/s13059-018-1598-7
_version_ 1783380366355070976
author Raviram, Ramya
Rocha, Pedro P.
Luo, Vincent M.
Swanzey, Emily
Miraldi, Emily R.
Chuong, Edward B.
Feschotte, Cédric
Bonneau, Richard
Skok, Jane A.
author_facet Raviram, Ramya
Rocha, Pedro P.
Luo, Vincent M.
Swanzey, Emily
Miraldi, Emily R.
Chuong, Edward B.
Feschotte, Cédric
Bonneau, Richard
Skok, Jane A.
author_sort Raviram, Ramya
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1598-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6292174
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-62921742018-12-17 Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate Raviram, Ramya Rocha, Pedro P. Luo, Vincent M. Swanzey, Emily Miraldi, Emily R. Chuong, Edward B. Feschotte, Cédric Bonneau, Richard Skok, Jane A. Genome Biol Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1598-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-13 /pmc/articles/PMC6292174/ /pubmed/30541598 http://dx.doi.org/10.1186/s13059-018-1598-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Raviram, Ramya
Rocha, Pedro P.
Luo, Vincent M.
Swanzey, Emily
Miraldi, Emily R.
Chuong, Edward B.
Feschotte, Cédric
Bonneau, Richard
Skok, Jane A.
Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
title Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
title_full Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
title_fullStr Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
title_full_unstemmed Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
title_short Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate
title_sort analysis of 3d genomic interactions identifies candidate host genes that transposable elements potentially regulate
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292174/
https://www.ncbi.nlm.nih.gov/pubmed/30541598
http://dx.doi.org/10.1186/s13059-018-1598-7
work_keys_str_mv AT raviramramya analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT rochapedrop analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT luovincentm analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT swanzeyemily analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT miraldiemilyr analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT chuongedwardb analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT feschottecedric analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT bonneaurichard analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate
AT skokjanea analysisof3dgenomicinteractionsidentifiescandidatehostgenesthattransposableelementspotentiallyregulate