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Resolving sub-clonal heterogeneity within cell-line growths by single cell sequencing genomic DNA

Enrique I. Velazquez-Villarreal, Shamoni Maheshwari, Jon Sorenson, Ian T. Fiddes, Vijay Kumar, Yifeng Yin, Michelle Webb, Claudia Catalanotti, Mira Grigorova, Paul A. Edwards, John D. Carpten, David W. Craig
doi: https://doi.org/10.1101/757211
Enrique I. Velazquez-Villarreal
1Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles CA, United States
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  • For correspondence: eivelazq@usc.edu davidwcr@usc.edu
Shamoni Maheshwari
210X Genomics, Pleasanton CA, United States
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Jon Sorenson
210X Genomics, Pleasanton CA, United States
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Ian T. Fiddes
210X Genomics, Pleasanton CA, United States
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Vijay Kumar
210X Genomics, Pleasanton CA, United States
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Yifeng Yin
210X Genomics, Pleasanton CA, United States
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Michelle Webb
1Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles CA, United States
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Claudia Catalanotti
210X Genomics, Pleasanton CA, United States
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Mira Grigorova
3Cancer Research UK Cambridge Institute, Cambridge, United Kingdom
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Paul A. Edwards
3Cancer Research UK Cambridge Institute, Cambridge, United Kingdom
4Hutchison-MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
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John D. Carpten
1Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles CA, United States
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David W. Craig
1Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles CA, United States
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  • For correspondence: eivelazq@usc.edu davidwcr@usc.edu
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ABSTRACT

We performed shallow single-cell sequencing of genomic DNA across 1,475 cells from a well-studied cell-line, COLO829, to resolve overall tumor complexity and clonality. This melanoma tumor-line has been previously characterized by multiple technologies and provides a benchmark for evaluating somatic alterations, though has exhibited conflicting and indeterminate copy number states. We identified at least four major sub-clones by discriminant analysis of principal components (DAPC) of single cell copy number data. Break-point and loss of heterozygosity (LOH) analysis of aggregated data from sub-clones revealed a complex rearrangement of chromosomes 1, 10 and 18 that was maintained in all but two sub-clones. Likewise, two of the sub-clones were distinguished by loss of 1 copy of chromosome 8. Re-analysis of previous spectral karyotyping data and bulk sequencing data recapitulated these sub-clone hallmark features and explains why the original bulk sequencing experiments generated conflicting copy number results. Overall, our results demonstrate how shallow copy number profiling together with clustering analysis of single cell sequencing can uncover significant hidden insights even in well studied cell-lines.

Footnotes

  • https://support.10xgenomics.com/single-cell-dna/datasets/1.0.0/colo829_G1_1k

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 05, 2019.
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Resolving sub-clonal heterogeneity within cell-line growths by single cell sequencing genomic DNA
Enrique I. Velazquez-Villarreal, Shamoni Maheshwari, Jon Sorenson, Ian T. Fiddes, Vijay Kumar, Yifeng Yin, Michelle Webb, Claudia Catalanotti, Mira Grigorova, Paul A. Edwards, John D. Carpten, David W. Craig
bioRxiv 757211; doi: https://doi.org/10.1101/757211
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Resolving sub-clonal heterogeneity within cell-line growths by single cell sequencing genomic DNA
Enrique I. Velazquez-Villarreal, Shamoni Maheshwari, Jon Sorenson, Ian T. Fiddes, Vijay Kumar, Yifeng Yin, Michelle Webb, Claudia Catalanotti, Mira Grigorova, Paul A. Edwards, John D. Carpten, David W. Craig
bioRxiv 757211; doi: https://doi.org/10.1101/757211

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