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Related Experiment Video

Updated: Jan 30, 2026

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
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Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

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Single-Cell Analysis of Circulating Tumor Cells.

Jana- A Thiele1, Pavel Pitule1, James Hicks2

  • 1Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.

Methods in Molecular Biology (Clifton, N.J.)
|January 17, 2019
PubMed
Summary

Circulating tumor cells (CTCs) are rare cells in blood that offer prognostic insights. New high-definition single-cell analysis (HD-SCA) reveals CTC heterogeneity for precision medicine applications.

Keywords:
CNVCTCCirculating tumor cellsCopy number variationLiquid biopsyPrecision medicineSingle-cell analysis

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Area of Science:

  • Oncology
  • Genomics
  • Cell Biology

Background:

  • Circulating tumor cells (CTCs) are rare cells in cancer patient blood, serving as vital prognostic markers.
  • Recent advancements enable detection of CTC phenotypic diversity, reflecting tumor cell populations.
  • Single-cell proteogenomics offers a powerful approach to study CTC heterogeneity and clinical potential.

Purpose of the Study:

  • To investigate circulating tumor cell (CTC) heterogeneity using advanced single-cell analysis.
  • To explore the potential of CTCs in precision medicine through detailed molecular and morphological profiling.
  • To describe the high-definition single-cell analysis (HD-SCA) workflow for CTC research.

Main Methods:

  • Detailed protocols for the high-definition single-cell analysis (HD-SCA) workflow are presented.
  • The workflow includes isolation of candidate cells from microscopy slides.
  • Methods cover whole-genome amplification, library preparation, and copy number variation (CNV) analysis.

Main Results:

  • The HD-SCA workflow enables detection of the entire CTC population and rare cancer-related cells.
  • It facilitates single-cell genomic analysis, providing insights into subpopulations.
  • Molecular and morphological data from HD-SCA contribute to understanding CTC heterogeneity.

Conclusions:

  • HD-SCA offers a comprehensive approach to deconstruct CTC heterogeneity and cellular dynamics.
  • This workflow enhances understanding of metastatic processes and therapeutic responses.
  • The described protocols are adaptable for various platforms analyzing isolated cells or microscopy slides.