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Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses

Author

Listed:
  • Humberto Contreras-Trujillo

    (University of Southern California)

  • Jiya Eerdeng

    (University of Southern California)

  • Samir Akre

    (University of Southern California)

  • Du Jiang

    (University of Southern California)

  • Jorge Contreras

    (University of Southern California)

  • Basia Gala

    (University of Southern California)

  • Mary C. Vergel-Rodriguez

    (University of Southern California)

  • Yeachan Lee

    (University of Southern California)

  • Aparna Jorapur

    (University of Southern California)

  • Areen Andreasian

    (University of Southern California)

  • Lisa Harton

    (University of Southern California)

  • Charles S. Bramlett

    (University of Southern California)

  • Anna Nogalska

    (University of Southern California)

  • Gang Xiao

    (Yale University)

  • Jae-Woong Lee

    (Yale University)

  • Lai N. Chan

    (Yale University)

  • Markus Müschen

    (Yale University
    Yale University)

  • Akil A. Merchant

    (Cedars-Sinai Medical Center)

  • Rong Lu

    (University of Southern California)

Abstract

Cellular heterogeneity is a major cause of treatment resistance in cancer. Despite recent advances in single-cell genomic and transcriptomic sequencing, it remains difficult to relate measured molecular profiles to the cellular activities underlying cancer. Here, we present an integrated experimental system that connects single cell gene expression to heterogeneous cancer cell growth, metastasis, and treatment response. Our system integrates single cell transcriptome profiling with DNA barcode based clonal tracking in patient-derived xenograft models. We show that leukemia cells exhibiting unique gene expression respond to different chemotherapies in distinct but consistent manners across multiple mice. In addition, we uncover a form of leukemia expansion that is spatially confined to the bone marrow of single anatomical sites and driven by cells with distinct gene expression. Our integrated experimental system can interrogate the molecular and cellular basis of the intratumoral heterogeneity underlying disease progression and treatment resistance.

Suggested Citation

  • Humberto Contreras-Trujillo & Jiya Eerdeng & Samir Akre & Du Jiang & Jorge Contreras & Basia Gala & Mary C. Vergel-Rodriguez & Yeachan Lee & Aparna Jorapur & Areen Andreasian & Lisa Harton & Charles S, 2021. "Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26771-1
    DOI: 10.1038/s41467-021-26771-1
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