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3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome

Three-dimensional (3D) genome organization is tightly coupled with gene regulation in various biological processes and diseases. In cancer, various types of large-scale genomic rearrangements can disrupt the 3D genome, leading to oncogenic gene expression. However, unraveling the pathogenicity of th...

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Autores principales: Kim, Kyukwang, Jang, Insu, Kim, Mooyoung, Choi, Jinhyuk, Kim, Min-Seo, Lee, Byungwook, Jung, Inkyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778885/
https://www.ncbi.nlm.nih.gov/pubmed/33245777
http://dx.doi.org/10.1093/nar/gkaa1078
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author Kim, Kyukwang
Jang, Insu
Kim, Mooyoung
Choi, Jinhyuk
Kim, Min-Seo
Lee, Byungwook
Jung, Inkyung
author_facet Kim, Kyukwang
Jang, Insu
Kim, Mooyoung
Choi, Jinhyuk
Kim, Min-Seo
Lee, Byungwook
Jung, Inkyung
author_sort Kim, Kyukwang
collection PubMed
description Three-dimensional (3D) genome organization is tightly coupled with gene regulation in various biological processes and diseases. In cancer, various types of large-scale genomic rearrangements can disrupt the 3D genome, leading to oncogenic gene expression. However, unraveling the pathogenicity of the 3D cancer genome remains a challenge since closer examinations have been greatly limited due to the lack of appropriate tools specialized for disorganized higher-order chromatin structure. Here, we updated a 3D-genome Interaction Viewer and database named 3DIV by uniformly processing ∼230 billion raw Hi-C reads to expand our contents to the 3D cancer genome. The updates of 3DIV are listed as follows: (i) the collection of 401 samples including 220 cancer cell line/tumor Hi-C data, 153 normal cell line/tissue Hi-C data, and 28 promoter capture Hi-C data, (ii) the live interactive manipulation of the 3D cancer genome to simulate the impact of structural variations and (iii) the reconstruction of Hi-C contact maps by user-defined chromosome order to investigate the 3D genome of the complex genomic rearrangement. In summary, the updated 3DIV will be the most comprehensive resource to explore the gene regulatory effects of both the normal and cancer 3D genome. ‘3DIV’ is freely available at http://3div.kr.
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spelling pubmed-77788852021-01-06 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome Kim, Kyukwang Jang, Insu Kim, Mooyoung Choi, Jinhyuk Kim, Min-Seo Lee, Byungwook Jung, Inkyung Nucleic Acids Res Database Issue Three-dimensional (3D) genome organization is tightly coupled with gene regulation in various biological processes and diseases. In cancer, various types of large-scale genomic rearrangements can disrupt the 3D genome, leading to oncogenic gene expression. However, unraveling the pathogenicity of the 3D cancer genome remains a challenge since closer examinations have been greatly limited due to the lack of appropriate tools specialized for disorganized higher-order chromatin structure. Here, we updated a 3D-genome Interaction Viewer and database named 3DIV by uniformly processing ∼230 billion raw Hi-C reads to expand our contents to the 3D cancer genome. The updates of 3DIV are listed as follows: (i) the collection of 401 samples including 220 cancer cell line/tumor Hi-C data, 153 normal cell line/tissue Hi-C data, and 28 promoter capture Hi-C data, (ii) the live interactive manipulation of the 3D cancer genome to simulate the impact of structural variations and (iii) the reconstruction of Hi-C contact maps by user-defined chromosome order to investigate the 3D genome of the complex genomic rearrangement. In summary, the updated 3DIV will be the most comprehensive resource to explore the gene regulatory effects of both the normal and cancer 3D genome. ‘3DIV’ is freely available at http://3div.kr. Oxford University Press 2020-11-27 /pmc/articles/PMC7778885/ /pubmed/33245777 http://dx.doi.org/10.1093/nar/gkaa1078 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Kim, Kyukwang
Jang, Insu
Kim, Mooyoung
Choi, Jinhyuk
Kim, Min-Seo
Lee, Byungwook
Jung, Inkyung
3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
title 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
title_full 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
title_fullStr 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
title_full_unstemmed 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
title_short 3DIV update for 2021: a comprehensive resource of 3D genome and 3D cancer genome
title_sort 3div update for 2021: a comprehensive resource of 3d genome and 3d cancer genome
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778885/
https://www.ncbi.nlm.nih.gov/pubmed/33245777
http://dx.doi.org/10.1093/nar/gkaa1078
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