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Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility
Cancer risk by environmental exposure is modulated by an individual’s genetics and age at exposure. This age-specific period of susceptibility is referred to as the “Window of Susceptibility” (WOS). Rats have a similar WOS for developing breast cancer. A previous study in rat identified an age-speci...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787344/ https://www.ncbi.nlm.nih.gov/pubmed/35087569 http://dx.doi.org/10.3389/fgene.2021.788318 |
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author | Baur, Brittany Lee, Da-Inn Haag, Jill Chasman, Deborah Gould, Michael Roy, Sushmita |
author_facet | Baur, Brittany Lee, Da-Inn Haag, Jill Chasman, Deborah Gould, Michael Roy, Sushmita |
author_sort | Baur, Brittany |
collection | PubMed |
description | Cancer risk by environmental exposure is modulated by an individual’s genetics and age at exposure. This age-specific period of susceptibility is referred to as the “Window of Susceptibility” (WOS). Rats have a similar WOS for developing breast cancer. A previous study in rat identified an age-specific long-range regulatory interaction for the cancer gene, Pappa, that is associated with breast cancer susceptibility. However, the global role of three-dimensional genome organization and downstream gene expression programs in the WOS is not known. Therefore, we generated Hi-C and RNA-seq data in rat mammary epithelial cells within and outside the WOS. To systematically identify higher-order changes in 3D genome organization, we developed NE-MVNMF that combines network enhancement followed by multitask non-negative matrix factorization. We examined three-dimensional genome organization dynamics at the level of individual loops as well as higher-order domains. Differential chromatin interactions tend to be associated with differentially up-regulated genes with the WOS and recapitulate several human SNP-gene interactions associated with breast cancer susceptibility. Our approach identified genomic blocks of regions with greater overall differences in contact count between the two time points when the cluster assignments change and identified genes and pathways implicated in early carcinogenesis and cancer treatment. Our results suggest that WOS-specific changes in 3D genome organization are linked to transcriptional changes that may influence susceptibility to breast cancer. |
format | Online Article Text |
id | pubmed-8787344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87873442022-01-26 Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility Baur, Brittany Lee, Da-Inn Haag, Jill Chasman, Deborah Gould, Michael Roy, Sushmita Front Genet Genetics Cancer risk by environmental exposure is modulated by an individual’s genetics and age at exposure. This age-specific period of susceptibility is referred to as the “Window of Susceptibility” (WOS). Rats have a similar WOS for developing breast cancer. A previous study in rat identified an age-specific long-range regulatory interaction for the cancer gene, Pappa, that is associated with breast cancer susceptibility. However, the global role of three-dimensional genome organization and downstream gene expression programs in the WOS is not known. Therefore, we generated Hi-C and RNA-seq data in rat mammary epithelial cells within and outside the WOS. To systematically identify higher-order changes in 3D genome organization, we developed NE-MVNMF that combines network enhancement followed by multitask non-negative matrix factorization. We examined three-dimensional genome organization dynamics at the level of individual loops as well as higher-order domains. Differential chromatin interactions tend to be associated with differentially up-regulated genes with the WOS and recapitulate several human SNP-gene interactions associated with breast cancer susceptibility. Our approach identified genomic blocks of regions with greater overall differences in contact count between the two time points when the cluster assignments change and identified genes and pathways implicated in early carcinogenesis and cancer treatment. Our results suggest that WOS-specific changes in 3D genome organization are linked to transcriptional changes that may influence susceptibility to breast cancer. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8787344/ /pubmed/35087569 http://dx.doi.org/10.3389/fgene.2021.788318 Text en Copyright © 2022 Baur, Lee, Haag, Chasman, Gould and Roy. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Baur, Brittany Lee, Da-Inn Haag, Jill Chasman, Deborah Gould, Michael Roy, Sushmita Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility |
title | Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility |
title_full | Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility |
title_fullStr | Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility |
title_full_unstemmed | Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility |
title_short | Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility |
title_sort | deciphering the role of 3d genome organization in breast cancer susceptibility |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787344/ https://www.ncbi.nlm.nih.gov/pubmed/35087569 http://dx.doi.org/10.3389/fgene.2021.788318 |
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