Literature DB >> 33245777

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

Kyukwang Kim1, Insu Jang2, Mooyoung Kim1, Jinhyuk Choi2, Min-Seo Kim2, Byungwook Lee2, Inkyung Jung1.   

Abstract

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33245777     DOI: 10.1093/nar/gkaa1078

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  4 in total

1.  The 2021 Nucleic Acids Research database issue and the online molecular biology database collection.

Authors:  Daniel J Rigden; Xosé M Fernández
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

2.  Identification of Recessively Inherited Genetic Variants Potentially Linked to Pancreatic Cancer Risk.

Authors:  Ye Lu; Manuel Gentiluomo; Angelica Macauda; Domenica Gioffreda; Maria Gazouli; Maria C Petrone; Dezső Kelemen; Laura Ginocchi; Luca Morelli; Konstantinos Papiris; William Greenhalf; Jakob R Izbicki; Vytautas Kiudelis; Beatrice Mohelníková-Duchoňová; Bas Bueno-de-Mesquita; Pavel Vodicka; Hermann Brenner; Markus K Diener; Raffaele Pezzilli; Audrius Ivanauskas; Roberto Salvia; Andrea Szentesi; Mateus Nóbrega Aoki; Balázs C Németh; Cosimo Sperti; Krzysztof Jamroziak; Roger Chammas; Martin Oliverius; Livia Archibugi; Stefano Ermini; János Novák; Juozas Kupcinskas; Ondřej Strouhal; Pavel Souček; Giulia M Cavestro; Anna C Milanetto; Giuseppe Vanella; John P Neoptolemos; George E Theodoropoulos; Hanneke W M van Laarhoven; Andrea Mambrini; Stefania Moz; Zdenek Kala; Martin Loveček; Daniela Basso; Faik G Uzunoglu; Thilo Hackert; Sabrina G G Testoni; Viktor Hlaváč; Angelo Andriulli; Maurizio Lucchesi; Francesca Tavano; Silvia Carrara; Péter Hegyi; Paolo G Arcidiacono; Olivier R Busch; Rita T Lawlor; Marta Puzzono; Ugo Boggi; Feng Guo; Ewa Małecka-Panas; Gabriele Capurso; Stefano Landi; Renata Talar-Wojnarowska; Oliver Strobel; Xin Gao; Yogesh Vashist; Daniele Campa; Federico Canzian
Journal:  Front Oncol       Date:  2021-12-03       Impact factor: 6.244

3.  Topologically associating domains are disrupted by evolutionary genome rearrangements forming species-specific enhancer connections in mice and humans.

Authors:  Sarah E Gilbertson; Hannah C Walter; Katherine Gardner; Spencer N Wren; Golnaz Vahedi; Amy S Weinmann
Journal:  Cell Rep       Date:  2022-05-03       Impact factor: 9.995

4.  covNorm: An R package for coverage based normalization of Hi-C and capture Hi-C data.

Authors:  Kyukwang Kim; Inkyung Jung
Journal:  Comput Struct Biotechnol J       Date:  2021-05-27       Impact factor: 7.271

  4 in total

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