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

Humberto Contreras-Trujillo1, Jiya Eerdeng1, Samir Akre1

  • 1Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.

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Summary
This summary is machine-generated.

Cellular heterogeneity drives cancer treatment resistance. This study links single-cell gene expression to cancer cell growth, metastasis, and treatment response using an integrated system, revealing distinct cellular behaviors.

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Area of Science:

  • Oncology
  • Genomics
  • Systems Biology

Background:

  • Cellular heterogeneity is a significant challenge in cancer treatment resistance.
  • Current single-cell technologies struggle to connect molecular profiles with cellular functions.
  • Understanding the link between gene expression and cancer cell behavior is crucial.

Purpose of the Study:

  • To develop an integrated experimental system connecting single-cell gene expression with cancer cell growth, metastasis, and treatment response.
  • To investigate the molecular basis of intratumoral heterogeneity in cancer progression and therapeutic resistance.

Main Methods:

  • Integration of single-cell transcriptome profiling with DNA barcode-based clonal tracking.
  • Utilized patient-derived xenograft (PDX) models for leukemia studies.
  • Correlated specific gene expression profiles with distinct cellular responses to chemotherapy.

Main Results:

  • Leukemia cells with unique gene expression patterns exhibited consistent, distinct responses to various chemotherapies across multiple mouse models.
  • Identified a spatially confined leukemia expansion within bone marrow, driven by specific gene-expressing cells.
  • Demonstrated the system's capability to interrogate heterogeneity's role in disease progression.

Conclusions:

  • The developed integrated system effectively links single-cell gene expression to functional cellular activities in cancer.
  • This approach provides novel insights into the mechanisms of leukemia expansion and treatment resistance.
  • The system offers a powerful tool for dissecting intratumoral heterogeneity in cancer research.