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Sci Adv. 2021 Oct 15;7(42):eabg6045. doi: 10.1126/sciadv.abg6045. Epub 2021 Oct 13.

Copy-scAT: Deconvoluting single-cell chromatin accessibility of genetic subclones in cancer.

Science advances

Ana Nikolic, Divya Singhal, Katrina Ellestad, Michael Johnston, Yaoqing Shen, Aaron Gillmor, Sorana Morrissy, J Gregory Cairncross, Steven Jones, Mathieu Lupien, Jennifer A Chan, Paola Neri, Nizar Bahlis, Marco Gallo

Affiliations

  1. Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
  2. Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
  3. Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
  4. Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, BC, Canada.
  5. Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
  6. Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
  7. Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
  8. Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
  9. Ontario Institute for Cancer Research, Toronto, ON, Canada.

PMID: 34644115 PMCID: PMC8514091 DOI: 10.1126/sciadv.abg6045

Abstract

Single-cell epigenomic assays have tremendous potential to illuminate mechanisms of transcriptional control in functionally diverse cancer cell populations. However, application of these techniques to clinical tumor specimens has been hampered by the current inability to distinguish malignant from nonmalignant cells, which potently confounds data analysis and interpretation. Here, we describe Copy-scAT, an R package that uses single-cell epigenomic data to infer copy number variants (CNVs) that define cancer cells. Copy-scAT enables studies of subclonal chromatin dynamics in complex tumors like glioblastoma. By deploying Copy-scAT, we uncovered potent influences of genetics on chromatin accessibility profiles in individual subclones. Consequently, some genetic subclones were predisposed to acquire stem-like or more differentiated molecular phenotypes, reminiscent of developmental paradigms. Copy-scAT is ideal for studies of the relationships between genetics and epigenetics in malignancies with high levels of intratumoral heterogeneity and to investigate how cancer cells interface with their microenvironment.

References

  1. Nature. 2019 Aug;572(7767):67-73 - PubMed
  2. Nat Commun. 2019 Apr 23;10(1):1903 - PubMed
  3. Science. 2017 Mar 31;355(6332): - PubMed
  4. R J. 2016 Aug;8(1):289-317 - PubMed
  5. Nature. 2015 Jul 23;523(7561):486-90 - PubMed
  6. Cell Rep. 2017 Oct 31;21(5):1399-1410 - PubMed
  7. Nature. 2016 Nov 10;539(7628):309-313 - PubMed
  8. PLoS Comput Biol. 2016 Apr 21;12(4):e1004873 - PubMed
  9. Science. 2014 Jun 20;344(6190):1396-401 - PubMed
  10. Cancer Res. 2019 May 1;79(9):2111-2123 - PubMed
  11. Nat Methods. 2017 Oct;14(10):975-978 - PubMed
  12. Cell. 2019 Aug 8;178(4):835-849.e21 - PubMed
  13. Nucleic Acids Res. 2018 Jan 4;46(D1):D260-D266 - PubMed
  14. Bioinformatics. 2018 Sep 15;34(18):3217-3219 - PubMed
  15. Bioinformatics. 2009 Jul 15;25(14):1754-60 - PubMed
  16. Cancer Cell. 2011 Dec 13;20(6):810-7 - PubMed
  17. Nat Biotechnol. 2018 Jun;36(5):411-420 - PubMed
  18. Cancer Cell. 2015 Sep 14;28(3):307-317 - PubMed
  19. Bioinformatics. 2010 Jan 1;26(1):139-40 - PubMed
  20. Nat Methods. 2013 Dec;10(12):1213-8 - PubMed
  21. Cancer Cell. 2020 Apr 13;37(4):456-470 - PubMed
  22. Bioinformatics. 2009 Aug 15;25(16):2078-9 - PubMed
  23. Nat Genet. 2021 Oct;53(10):1456-1468 - PubMed
  24. Bioinformatics. 2010 Mar 15;26(6):841-2 - PubMed
  25. Cancer Cell. 2020 Jul 13;38(1):44-59.e9 - PubMed

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