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Related Concept Videos

Cancer Stem Cells and Tumor Maintenance02:40

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Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
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Related Experiment Video

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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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High-dimensional single-cell cancer biology.

Jonathan M Irish1, Deon B Doxie

  • 1Vanderbilt University, Nashville, TN, USA, jonathan.irish@vanderbilt.edu.

Current Topics in Microbiology and Immunology
|March 28, 2014
PubMed
Summary

High-dimensional flow cytometry offers a single-cell view of cancer, revealing mechanisms of tumor evolution and therapy resistance. This technology aids in identifying rare cancer cell populations and advancing personalized cancer treatments.

Area of Science:

  • Single-cell biology
  • Cancer research
  • Immunology

Background:

  • Cancer cells exhibit unique features driving tumor evolution and treatment resistance.
  • Understanding cellular heterogeneity is crucial for effective cancer therapy.

Purpose of the Study:

  • To describe advanced flow cytometry techniques for single-cell analysis in human tumors.
  • To enable systematic measurement of tumor initiation, progression, and therapy resistance mechanisms.

Main Methods:

  • Utilizing high-dimensional techniques like mass cytometry for multiplexed single-cell analysis.
  • Analyzing cell identity, biomarkers, signaling networks, transcription factors, and functional readouts (proliferation, apoptosis).
  • Employing a signaling profiles approach to dissect mechanisms by perturbing and measuring signaling network nodes.

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Main Results:

  • Single-cell approaches reveal cellular heterogeneity in primary tissues.
  • Identification of rare cell populations, including stem cells and therapy-resistant cancer cells.
  • Enabling comparison of distinct cell subsets within the same sample.

Conclusions:

  • Single-cell analysis provides deep insights into cell signaling and fate decisions.
  • These techniques are critical for tracking minimal residual disease and disease progression.
  • Future applications include programming cells as therapeutic agents and optimizing next-generation cancer treatments combining targeted therapies and immunotherapy.