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Related Experiment Video

Updated: Jul 12, 2026

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications
14:14

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

Published on: February 28, 2014

Cell-Interaction Analysis and Functional Studies Using Circulating Tumor Cell Models.

Hubing Shi1, Jinen Song2

  • 1Institute of Breast Health Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, 610041, China. shihb@scu.edu.cn.

Methods in Molecular Biology (Clifton, N.J.)
|July 9, 2026
PubMed
Summary

This study outlines a method to analyze circulating tumor cell (CTC) interactions using single-cell sequencing. The approach helps identify potential therapeutic targets for cancer treatment.

Keywords:
Cell interactionCellphoneDBCirculating tumor cellsImmune evasionMetastasisSingle-cell RNA

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Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research

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Last Updated: Jul 12, 2026

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications
14:14

Adaptation of Semiautomated Circulating Tumor Cell (CTC) Assays for Clinical and Preclinical Research Applications

Published on: February 28, 2014

Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment
05:17

Micromanipulation of Circulating Tumor Cells for Downstream Molecular Analysis and Metastatic Potential Assessment

Published on: May 14, 2019

Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research
07:47

Circulating Tumor Cell Lines: an Innovative Tool for Fundamental and Translational Research

Published on: December 25, 2021

Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Circulating tumor cells (CTCs) are crucial in cancer metastasis.
  • Understanding CTC interactions in the blood microenvironment is key for targeted therapies.

Purpose of the Study:

  • To present a detailed methodology for analyzing CTC interactions.
  • To enable comprehensive single-cell transcriptomic sequencing and data analysis of CTCs.
  • To identify potential therapeutic targets by studying CTC-blood cell interactions.

Main Methods:

  • Data preprocessing and quality control of raw sequencing data.
  • Seurat analysis for dimensionality reduction (PCA, t-SNE, UMAP) and CTC clustering.
  • CellphoneDB integration to analyze CTC interactions with blood cells.
  • Statistical graphics using ggplot2 for data visualization and interpretation.

Main Results:

  • A robust methodology for CTC interaction analysis was established.
  • Gene expression profiles of CTCs were analyzed and visualized.
  • Potential CTC interaction pairs were identified for therapeutic targeting.

Conclusions:

  • The presented methodology offers valuable insights into CTC interactions.
  • This framework can inform the development of novel targeted therapies in oncology.
  • Facilitates interpretation of complex genomic data for oncologists and biologists.