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PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer

Centromeric α-satellite repeats represent ∼6% of the human genome, but their length and repetitive nature make sequencing and analysis of those regions challenging. However, centromeres are essential for the stable propagation of chromosomes, so tools are urgently needed to monitor centromere copy n...

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Autores principales: de Lima, Leonardo Gomes, Howe, Edmund, Singh, Vijay Pratap, Potapova, Tamara, Li, Hua, Xu, Baoshan, Castle, Jemma, Crozier, Steve, Harrison, Christine J., Clifford, Steve C., Miga, Karen H., Ryan, Sarra L., Gerton, Jennifer L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730464/
https://www.ncbi.nlm.nih.gov/pubmed/34993501
http://dx.doi.org/10.1016/j.xgen.2021.100064
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author de Lima, Leonardo Gomes
Howe, Edmund
Singh, Vijay Pratap
Potapova, Tamara
Li, Hua
Xu, Baoshan
Castle, Jemma
Crozier, Steve
Harrison, Christine J.
Clifford, Steve C.
Miga, Karen H.
Ryan, Sarra L.
Gerton, Jennifer L.
author_facet de Lima, Leonardo Gomes
Howe, Edmund
Singh, Vijay Pratap
Potapova, Tamara
Li, Hua
Xu, Baoshan
Castle, Jemma
Crozier, Steve
Harrison, Christine J.
Clifford, Steve C.
Miga, Karen H.
Ryan, Sarra L.
Gerton, Jennifer L.
author_sort de Lima, Leonardo Gomes
collection PubMed
description Centromeric α-satellite repeats represent ∼6% of the human genome, but their length and repetitive nature make sequencing and analysis of those regions challenging. However, centromeres are essential for the stable propagation of chromosomes, so tools are urgently needed to monitor centromere copy number and how it influences chromosome transmission and genome stability. We developed and benchmarked droplet digital PCR (ddPCR) assays that measure copy number for five human centromeric arrays. We applied them to characterize natural variation in centromeric array size, analyzing normal tissue from 37 individuals from China and 39 individuals from the US and UK. Each chromosome-specific array varies in size up to 10-fold across individuals and up to 50-fold across chromosomes, indicating a unique complement of arrays in each individual. We also used the ddPCR assays to analyze centromere copy number in 76 matched tumor-normal samples across four cancer types, representing the most-comprehensive quantitative analysis of centromeric array stability in cancer to date. In contrast to stable transmission in cultured cells, centromeric arrays show gain and loss events in each of the cancer types, suggesting centromeric α-satellite DNA represents a new category of genome instability in cancer. Our methodology for measuring human centromeric-array copy number will advance research on centromeres and genome integrity in normal and disease states.
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spelling pubmed-87304642022-01-05 PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer de Lima, Leonardo Gomes Howe, Edmund Singh, Vijay Pratap Potapova, Tamara Li, Hua Xu, Baoshan Castle, Jemma Crozier, Steve Harrison, Christine J. Clifford, Steve C. Miga, Karen H. Ryan, Sarra L. Gerton, Jennifer L. Cell Genom Technology Centromeric α-satellite repeats represent ∼6% of the human genome, but their length and repetitive nature make sequencing and analysis of those regions challenging. However, centromeres are essential for the stable propagation of chromosomes, so tools are urgently needed to monitor centromere copy number and how it influences chromosome transmission and genome stability. We developed and benchmarked droplet digital PCR (ddPCR) assays that measure copy number for five human centromeric arrays. We applied them to characterize natural variation in centromeric array size, analyzing normal tissue from 37 individuals from China and 39 individuals from the US and UK. Each chromosome-specific array varies in size up to 10-fold across individuals and up to 50-fold across chromosomes, indicating a unique complement of arrays in each individual. We also used the ddPCR assays to analyze centromere copy number in 76 matched tumor-normal samples across four cancer types, representing the most-comprehensive quantitative analysis of centromeric array stability in cancer to date. In contrast to stable transmission in cultured cells, centromeric arrays show gain and loss events in each of the cancer types, suggesting centromeric α-satellite DNA represents a new category of genome instability in cancer. Our methodology for measuring human centromeric-array copy number will advance research on centromeres and genome integrity in normal and disease states. Elsevier 2021-12-08 /pmc/articles/PMC8730464/ /pubmed/34993501 http://dx.doi.org/10.1016/j.xgen.2021.100064 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Technology
de Lima, Leonardo Gomes
Howe, Edmund
Singh, Vijay Pratap
Potapova, Tamara
Li, Hua
Xu, Baoshan
Castle, Jemma
Crozier, Steve
Harrison, Christine J.
Clifford, Steve C.
Miga, Karen H.
Ryan, Sarra L.
Gerton, Jennifer L.
PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
title PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
title_full PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
title_fullStr PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
title_full_unstemmed PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
title_short PCR amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
title_sort pcr amplicons identify widespread copy number variation in human centromeric arrays and instability in cancer
topic Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730464/
https://www.ncbi.nlm.nih.gov/pubmed/34993501
http://dx.doi.org/10.1016/j.xgen.2021.100064
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