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

Authors :
Jon Sorenson
Vijay Kumar
Yifeng Yin
John D. Carpten
Shamoni Maheshwari
Enrique I. Velazquez-Villarreal
Mira Grigorova
Ian T. Fiddes
Claudia Catalanotti
Michelle Webb
David Craig
Paul A.W. Edwards
Edwards, Paul A. [0000-0002-4789-3374]
Carpten, John D. [0000-0002-6862-2821]
Apollo - University of Cambridge Repository
Edwards, Paul A [0000-0002-4789-3374]
Carpten, John D [0000-0002-6862-2821]
Source :
Communications Biology, Communications Biology, Vol 3, Iss 1, Pp 1-8 (2020)
Publication Year :
2020
Publisher :
Nature Publishing Group UK, 2020.

Abstract

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.<br />Through shallow single-cell sequencing of genomic DNA followed by clustering analysis, Velazquez-Villarreal et al. reveal sub-clones of the melanoma cell line COLO829 and further identify and validate chromosome translocations and copy number changes. This study illustrates how copy number variation analysis can provide insights into cancer cell heterogeneity.

Details

Database :
OpenAIRE
Journal :
Communications Biology, Communications Biology, Vol 3, Iss 1, Pp 1-8 (2020)
Accession number :
edsair.doi.dedup.....219e237cf3f86c03faec80d9ec3ff1e4