High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics

Maurizio Pellegrino, Adam Sciambi, Sebastian Treusch, Robert Durruthy-Durruthy, Kaustubh Gokhale, Jose Jacob, Tina X. Chen, Jennifer A. Geis, William Oldham, Jairo Matthews, Hagop Kantarjian, P. Andrew Futreal, Keyur Patel, Keith W. Jones, Koichi Takahashi, Dennis J. Eastburn

Research output: Contribution to journalArticlepeer-review

142 Scopus citations

Abstract

To enable the characterization of genetic heterogeneity in tumor cell populations, we developed a novel microfluidic approach that barcodes amplified genomic DNA from thousands of individual cancer cells confined to droplets. The barcodes are then used to reassemble the genetic profiles of cells from next-generation sequencing data. By using this approach, we sequenced longitudinally collected acute myeloid leukemia (AML) tumor populations from two patients and genotyped up to 62 disease relevant loci across more than 16,000 individual cells. Targeted single-cell sequencing was able to sensitively identify cells harboring pathogenic mutations during complete remission and uncovered complex clonal evolution within AML tumors that was not observable with bulk sequencing. We anticipate that this approach will make feasible the routine analysis of AML heterogeneity, leading to improved stratification and therapy selection for the disease.

Original languageEnglish (US)
Pages (from-to)1345-1352
Number of pages8
JournalGenome research
Volume28
Issue number9
DOIs
StatePublished - Sep 2018

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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