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The three-dimensional genome organization of Drosophila melanogaster through data integration

BACKGROUND: Genome structures are dynamic and non-randomly organized in the nucleus of higher eukaryotes. To maximize the accuracy and coverage of three-dimensional genome structural models, it is important to integrate all available sources of experimental information about a genome’s organization....

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Autores principales: Li, Qingjiao, Tjong, Harianto, Li, Xiao, Gong, Ke, Zhou, Xianghong Jasmine, Chiolo, Irene, Alber, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576134/
https://www.ncbi.nlm.nih.gov/pubmed/28760140
http://dx.doi.org/10.1186/s13059-017-1264-5
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author Li, Qingjiao
Tjong, Harianto
Li, Xiao
Gong, Ke
Zhou, Xianghong Jasmine
Chiolo, Irene
Alber, Frank
author_facet Li, Qingjiao
Tjong, Harianto
Li, Xiao
Gong, Ke
Zhou, Xianghong Jasmine
Chiolo, Irene
Alber, Frank
author_sort Li, Qingjiao
collection PubMed
description BACKGROUND: Genome structures are dynamic and non-randomly organized in the nucleus of higher eukaryotes. To maximize the accuracy and coverage of three-dimensional genome structural models, it is important to integrate all available sources of experimental information about a genome’s organization. It remains a major challenge to integrate such data from various complementary experimental methods. Here, we present an approach for data integration to determine a population of complete three-dimensional genome structures that are statistically consistent with data from both genome-wide chromosome conformation capture (Hi-C) and lamina-DamID experiments. RESULTS: Our structures resolve the genome at the resolution of topological domains, and reproduce simultaneously both sets of experimental data. Importantly, this data deconvolution framework allows for structural heterogeneity between cells, and hence accounts for the expected plasticity of genome structures. As a case study we choose Drosophila melanogaster embryonic cells, for which both data types are available. Our three-dimensional genome structures have strong predictive power for structural features not directly visible in the initial data sets, and reproduce experimental hallmarks of the D. melanogaster genome organization from independent and our own imaging experiments. Also they reveal a number of new insights about genome organization and its functional relevance, including the preferred locations of heterochromatic satellites of different chromosomes, and observations about homologous pairing that cannot be directly observed in the original Hi-C or lamina-DamID data. CONCLUSIONS: Our approach allows systematic integration of Hi-C and lamina-DamID data for complete three-dimensional genome structure calculation, while also explicitly considering genome structural variability. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1264-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-55761342017-08-30 The three-dimensional genome organization of Drosophila melanogaster through data integration Li, Qingjiao Tjong, Harianto Li, Xiao Gong, Ke Zhou, Xianghong Jasmine Chiolo, Irene Alber, Frank Genome Biol Research BACKGROUND: Genome structures are dynamic and non-randomly organized in the nucleus of higher eukaryotes. To maximize the accuracy and coverage of three-dimensional genome structural models, it is important to integrate all available sources of experimental information about a genome’s organization. It remains a major challenge to integrate such data from various complementary experimental methods. Here, we present an approach for data integration to determine a population of complete three-dimensional genome structures that are statistically consistent with data from both genome-wide chromosome conformation capture (Hi-C) and lamina-DamID experiments. RESULTS: Our structures resolve the genome at the resolution of topological domains, and reproduce simultaneously both sets of experimental data. Importantly, this data deconvolution framework allows for structural heterogeneity between cells, and hence accounts for the expected plasticity of genome structures. As a case study we choose Drosophila melanogaster embryonic cells, for which both data types are available. Our three-dimensional genome structures have strong predictive power for structural features not directly visible in the initial data sets, and reproduce experimental hallmarks of the D. melanogaster genome organization from independent and our own imaging experiments. Also they reveal a number of new insights about genome organization and its functional relevance, including the preferred locations of heterochromatic satellites of different chromosomes, and observations about homologous pairing that cannot be directly observed in the original Hi-C or lamina-DamID data. CONCLUSIONS: Our approach allows systematic integration of Hi-C and lamina-DamID data for complete three-dimensional genome structure calculation, while also explicitly considering genome structural variability. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1264-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-31 /pmc/articles/PMC5576134/ /pubmed/28760140 http://dx.doi.org/10.1186/s13059-017-1264-5 Text en © The Author(s). 2017 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
Li, Qingjiao
Tjong, Harianto
Li, Xiao
Gong, Ke
Zhou, Xianghong Jasmine
Chiolo, Irene
Alber, Frank
The three-dimensional genome organization of Drosophila melanogaster through data integration
title The three-dimensional genome organization of Drosophila melanogaster through data integration
title_full The three-dimensional genome organization of Drosophila melanogaster through data integration
title_fullStr The three-dimensional genome organization of Drosophila melanogaster through data integration
title_full_unstemmed The three-dimensional genome organization of Drosophila melanogaster through data integration
title_short The three-dimensional genome organization of Drosophila melanogaster through data integration
title_sort three-dimensional genome organization of drosophila melanogaster through data integration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576134/
https://www.ncbi.nlm.nih.gov/pubmed/28760140
http://dx.doi.org/10.1186/s13059-017-1264-5
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