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Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line

We performed shallow single-cell sequencing of genomic DNA across 1475 cells from a cell-line, COLO829, to resolve overall complexity and clonality. This melanoma tumor-line has been previously characterized by multiple technologies and is a benchmark for evaluating somatic alterations. In some of t...

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Autores principales: Velazquez-Villarreal, Enrique I., Maheshwari, Shamoni, Sorenson, Jon, Fiddes, Ian T., Kumar, Vijay, Yin, Yifeng, Webb, Michelle G., Catalanotti, Claudia, Grigorova, Mira, Edwards, Paul A., Carpten, John D., Craig, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316972/
https://www.ncbi.nlm.nih.gov/pubmed/32587328
http://dx.doi.org/10.1038/s42003-020-1044-8
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author Velazquez-Villarreal, Enrique I.
Maheshwari, Shamoni
Sorenson, Jon
Fiddes, Ian T.
Kumar, Vijay
Yin, Yifeng
Webb, Michelle G.
Catalanotti, Claudia
Grigorova, Mira
Edwards, Paul A.
Carpten, John D.
Craig, David W.
author_facet Velazquez-Villarreal, Enrique I.
Maheshwari, Shamoni
Sorenson, Jon
Fiddes, Ian T.
Kumar, Vijay
Yin, Yifeng
Webb, Michelle G.
Catalanotti, Claudia
Grigorova, Mira
Edwards, Paul A.
Carpten, John D.
Craig, David W.
author_sort Velazquez-Villarreal, Enrique I.
collection PubMed
description We performed shallow single-cell sequencing of genomic DNA across 1475 cells from a cell-line, COLO829, to resolve overall complexity and clonality. This melanoma tumor-line has been previously characterized by multiple technologies and is a benchmark for evaluating somatic alterations. In some of these studies, COLO829 has shown conflicting and/or indeterminate copy number and, thus, single-cell sequencing provides a tool for gaining insight. Following shallow single-cell sequencing, we first identified at least four major sub-clones by discriminant analysis of principal components of single-cell copy number data. Based on clustering, break-point and loss of heterozygosity analysis of aggregated data from sub-clones, we identified distinct hallmark events that were validated within bulk sequencing and spectral karyotyping. In summary, COLO829 exhibits a classical Dutrillaux’s monosomic/trisomic pattern of karyotype evolution with endoreduplication, where consistent sub-clones emerge from the loss/gain of abnormal chromosomes. Overall, our results demonstrate how shallow copy number profiling can uncover hidden biological insights.
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spelling pubmed-73169722020-06-30 Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line Velazquez-Villarreal, Enrique I. Maheshwari, Shamoni Sorenson, Jon Fiddes, Ian T. Kumar, Vijay Yin, Yifeng Webb, Michelle G. Catalanotti, Claudia Grigorova, Mira Edwards, Paul A. Carpten, John D. Craig, David W. Commun Biol Article We performed shallow single-cell sequencing of genomic DNA across 1475 cells from a cell-line, COLO829, to resolve overall complexity and clonality. This melanoma tumor-line has been previously characterized by multiple technologies and is a benchmark for evaluating somatic alterations. In some of these studies, COLO829 has shown conflicting and/or indeterminate copy number and, thus, single-cell sequencing provides a tool for gaining insight. Following shallow single-cell sequencing, we first identified at least four major sub-clones by discriminant analysis of principal components of single-cell copy number data. Based on clustering, break-point and loss of heterozygosity analysis of aggregated data from sub-clones, we identified distinct hallmark events that were validated within bulk sequencing and spectral karyotyping. In summary, COLO829 exhibits a classical Dutrillaux’s monosomic/trisomic pattern of karyotype evolution with endoreduplication, where consistent sub-clones emerge from the loss/gain of abnormal chromosomes. Overall, our results demonstrate how shallow copy number profiling can uncover hidden biological insights. Nature Publishing Group UK 2020-06-25 /pmc/articles/PMC7316972/ /pubmed/32587328 http://dx.doi.org/10.1038/s42003-020-1044-8 Text en © The Author(s) 2020 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
Velazquez-Villarreal, Enrique I.
Maheshwari, Shamoni
Sorenson, Jon
Fiddes, Ian T.
Kumar, Vijay
Yin, Yifeng
Webb, Michelle G.
Catalanotti, Claudia
Grigorova, Mira
Edwards, Paul A.
Carpten, John D.
Craig, David W.
Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line
title Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line
title_full Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line
title_fullStr Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line
title_full_unstemmed Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line
title_short Single-cell sequencing of genomic DNA resolves sub-clonal heterogeneity in a melanoma cell line
title_sort single-cell sequencing of genomic dna resolves sub-clonal heterogeneity in a melanoma cell line
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316972/
https://www.ncbi.nlm.nih.gov/pubmed/32587328
http://dx.doi.org/10.1038/s42003-020-1044-8
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