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3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome

Structural variants (SVs) that alter DNA sequence emerge as a driving force involved in the reorganisation of DNA spatial folding, thus affecting gene transcription. In this work, we describe an improved version of our integrated web service for structural modeling of three-dimensional genome (3D-GN...

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Autores principales: Wlasnowolski, Michal, Sadowski, Michal, Czarnota, Tymon, Jodkowska, Karolina, Szalaj, Przemyslaw, Tang, Zhonghui, Ruan, Yijun, Plewczynski, Dariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319547/
https://www.ncbi.nlm.nih.gov/pubmed/32442297
http://dx.doi.org/10.1093/nar/gkaa388
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author Wlasnowolski, Michal
Sadowski, Michal
Czarnota, Tymon
Jodkowska, Karolina
Szalaj, Przemyslaw
Tang, Zhonghui
Ruan, Yijun
Plewczynski, Dariusz
author_facet Wlasnowolski, Michal
Sadowski, Michal
Czarnota, Tymon
Jodkowska, Karolina
Szalaj, Przemyslaw
Tang, Zhonghui
Ruan, Yijun
Plewczynski, Dariusz
author_sort Wlasnowolski, Michal
collection PubMed
description Structural variants (SVs) that alter DNA sequence emerge as a driving force involved in the reorganisation of DNA spatial folding, thus affecting gene transcription. In this work, we describe an improved version of our integrated web service for structural modeling of three-dimensional genome (3D-GNOME), which now incorporates all types of SVs to model changes to the reference 3D conformation of chromatin. In 3D-GNOME 2.0, the default reference 3D genome structure is generated using ChIA-PET data from the GM12878 cell line and SVs data are sourced from the population-scale catalogue of SVs identified by the 1000 Genomes Consortium. However, users may also submit their own structural data to set a customized reference genome structure, and/or a custom input list of SVs. 3D-GNOME 2.0 provides novel tools to inspect, visualize and compare 3D models for regions that differ in terms of their linear genomic sequence. Contact diagrams are displayed to compare the reference 3D structure with the one altered by SVs. In our opinion, 3D-GNOME 2.0 is a unique online tool for modeling and analyzing conformational changes to the human genome induced by SVs across populations. It can be freely accessed at https://3dgnome.cent.uw.edu.pl/.
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spelling pubmed-73195472020-07-01 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome Wlasnowolski, Michal Sadowski, Michal Czarnota, Tymon Jodkowska, Karolina Szalaj, Przemyslaw Tang, Zhonghui Ruan, Yijun Plewczynski, Dariusz Nucleic Acids Res Web Server Issue Structural variants (SVs) that alter DNA sequence emerge as a driving force involved in the reorganisation of DNA spatial folding, thus affecting gene transcription. In this work, we describe an improved version of our integrated web service for structural modeling of three-dimensional genome (3D-GNOME), which now incorporates all types of SVs to model changes to the reference 3D conformation of chromatin. In 3D-GNOME 2.0, the default reference 3D genome structure is generated using ChIA-PET data from the GM12878 cell line and SVs data are sourced from the population-scale catalogue of SVs identified by the 1000 Genomes Consortium. However, users may also submit their own structural data to set a customized reference genome structure, and/or a custom input list of SVs. 3D-GNOME 2.0 provides novel tools to inspect, visualize and compare 3D models for regions that differ in terms of their linear genomic sequence. Contact diagrams are displayed to compare the reference 3D structure with the one altered by SVs. In our opinion, 3D-GNOME 2.0 is a unique online tool for modeling and analyzing conformational changes to the human genome induced by SVs across populations. It can be freely accessed at https://3dgnome.cent.uw.edu.pl/. Oxford University Press 2020-07-02 2020-05-22 /pmc/articles/PMC7319547/ /pubmed/32442297 http://dx.doi.org/10.1093/nar/gkaa388 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Wlasnowolski, Michal
Sadowski, Michal
Czarnota, Tymon
Jodkowska, Karolina
Szalaj, Przemyslaw
Tang, Zhonghui
Ruan, Yijun
Plewczynski, Dariusz
3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
title 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
title_full 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
title_fullStr 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
title_full_unstemmed 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
title_short 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
title_sort 3d-gnome 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319547/
https://www.ncbi.nlm.nih.gov/pubmed/32442297
http://dx.doi.org/10.1093/nar/gkaa388
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