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Related Experiment Video

Updated: Jun 13, 2026

A Flow Cytometry-Based Cell Surface Protein Binding Assay for Assessing Selectivity and Specificity of an Anticancer Aptamer
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Using aptamers to visualize and capture cancer cells.

Ying Pu1, Zhi Zhu, Huixia Liu

  • 1Xiangya Hospital, Central South University, P.O. Box 190, Changsha, Hunan 410008, China.

Analytical and Bioanalytical Chemistry
|May 19, 2010
PubMed
Summary

This study introduces a fast, simple, and sensitive method for capturing and visualizing rare cancer cells using aptamers. This advance aids in early cancer diagnosis, treatment monitoring, and tracking tumor progression.

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Oncology

Background:

  • Early-stage cancer detection is challenging due to the low concentration of diseased cells.
  • Accurate methods for capturing and visualizing cancer cells are crucial for diagnosis, treatment stratification, and monitoring.
  • Current methods may lack the sensitivity, speed, or cost-effectiveness required for widespread clinical application.

Purpose of the Study:

  • To develop an improved method for capturing and visualizing diseased cells.
  • To enhance the sensitivity, speed, and cost-effectiveness of cancer cell detection.
  • To create a multiplexed platform for improved clinical management of cancer.

Main Methods:

  • Utilized cell-SELEX (systematic evolution of ligands by exponential enrichment)-based aptamers.

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Last Updated: Jun 13, 2026

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  • Integrated advanced biotechnological and analytical techniques.
  • Developed a platform for improved capture and visualization of diseased cells.
  • Main Results:

    • Achieved inexpensive, simple, sensitive, and fast capture and visualization of diseased cells.
    • Demonstrated the potential for multiplexed cancer detection.
    • Improved control over clinical exigencies related to cancer.

    Conclusions:

    • The developed aptamer-based platform offers a significant advancement in diseased cell detection.
    • This method enhances capabilities in cancer diagnosis, therapeutic strategies, and drug delivery.
    • The platform provides a versatile tool for managing various clinical challenges in oncology.