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The Genomic Landscape of Centromeres in Cancers
Centromere genomics remain poorly characterized in cancer, due to technologic limitations in sequencing and bioinformatics methodologies that make high-resolution delineation of centromeric loci difficult to achieve. We here leverage a highly specific and targeted rapid PCR methodology to quantitati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677800/ https://www.ncbi.nlm.nih.gov/pubmed/31375789 http://dx.doi.org/10.1038/s41598-019-47757-6 |
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author | Saha, Anjan K. Mourad, Mohamad Kaplan, Mark H. Chefetz, Ilana Malek, Sami N. Buckanovich, Ronald Markovitz, David M. Contreras-Galindo, Rafael |
author_facet | Saha, Anjan K. Mourad, Mohamad Kaplan, Mark H. Chefetz, Ilana Malek, Sami N. Buckanovich, Ronald Markovitz, David M. Contreras-Galindo, Rafael |
author_sort | Saha, Anjan K. |
collection | PubMed |
description | Centromere genomics remain poorly characterized in cancer, due to technologic limitations in sequencing and bioinformatics methodologies that make high-resolution delineation of centromeric loci difficult to achieve. We here leverage a highly specific and targeted rapid PCR methodology to quantitatively assess the genomic landscape of centromeres in cancer cell lines and primary tissue. PCR-based profiling of centromeres revealed widespread heterogeneity of centromeric and pericentromeric sequences in cancer cells and tissues as compared to healthy counterparts. Quantitative reductions in centromeric core and pericentromeric markers (α-satellite units and HERV-K copies) were observed in neoplastic samples as compared to healthy counterparts. Subsequent phylogenetic analysis of a pericentromeric endogenous retrovirus amplified by PCR revealed possible gene conversion events occurring at numerous pericentromeric loci in the setting of malignancy. Our findings collectively represent a more comprehensive evaluation of centromere genetics in the setting of malignancy, providing valuable insight into the evolution and reshuffling of centromeric sequences in cancer development and progression. |
format | Online Article Text |
id | pubmed-6677800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66778002019-08-08 The Genomic Landscape of Centromeres in Cancers Saha, Anjan K. Mourad, Mohamad Kaplan, Mark H. Chefetz, Ilana Malek, Sami N. Buckanovich, Ronald Markovitz, David M. Contreras-Galindo, Rafael Sci Rep Article Centromere genomics remain poorly characterized in cancer, due to technologic limitations in sequencing and bioinformatics methodologies that make high-resolution delineation of centromeric loci difficult to achieve. We here leverage a highly specific and targeted rapid PCR methodology to quantitatively assess the genomic landscape of centromeres in cancer cell lines and primary tissue. PCR-based profiling of centromeres revealed widespread heterogeneity of centromeric and pericentromeric sequences in cancer cells and tissues as compared to healthy counterparts. Quantitative reductions in centromeric core and pericentromeric markers (α-satellite units and HERV-K copies) were observed in neoplastic samples as compared to healthy counterparts. Subsequent phylogenetic analysis of a pericentromeric endogenous retrovirus amplified by PCR revealed possible gene conversion events occurring at numerous pericentromeric loci in the setting of malignancy. Our findings collectively represent a more comprehensive evaluation of centromere genetics in the setting of malignancy, providing valuable insight into the evolution and reshuffling of centromeric sequences in cancer development and progression. Nature Publishing Group UK 2019-08-02 /pmc/articles/PMC6677800/ /pubmed/31375789 http://dx.doi.org/10.1038/s41598-019-47757-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Saha, Anjan K. Mourad, Mohamad Kaplan, Mark H. Chefetz, Ilana Malek, Sami N. Buckanovich, Ronald Markovitz, David M. Contreras-Galindo, Rafael The Genomic Landscape of Centromeres in Cancers |
title | The Genomic Landscape of Centromeres in Cancers |
title_full | The Genomic Landscape of Centromeres in Cancers |
title_fullStr | The Genomic Landscape of Centromeres in Cancers |
title_full_unstemmed | The Genomic Landscape of Centromeres in Cancers |
title_short | The Genomic Landscape of Centromeres in Cancers |
title_sort | genomic landscape of centromeres in cancers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677800/ https://www.ncbi.nlm.nih.gov/pubmed/31375789 http://dx.doi.org/10.1038/s41598-019-47757-6 |
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