Label-Free Imaging of Cell Apoptosis by a Light-Addressable Electrochemical Sensor

Fangming Chen1, Qian Guo2, Qiaoyu Yang1

  • 1Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.

PubMed

Insights

This study introduces a new method to visualize cancer cell apoptosis without labels using a light-addressable electrochemical sensor. The technique reveals heterogeneous apoptosis in drug-treated cells, aiding in cancer therapy evaluation.

Area of Science:

  • Biomedical Engineering
  • Electrochemistry
  • Cancer Research

Background:

  • Label-free visualization of cancer cell apoptosis is crucial for developing effective cancer therapies.
  • Current methods may lack the sensitivity or specificity to capture the heterogeneity of apoptosis.
  • Noninvasive imaging techniques are needed for real-time monitoring of cellular responses to treatment.

Purpose of the Study:

  • To develop a noninvasive, label-free imaging method for visualizing drug-induced cancer cell apoptosis.
  • To investigate the dynamic changes in electrochemical signals during apoptosis.
  • To explore the heterogeneity of apoptosis at the single-cell level.

Main Methods:

  • Utilized a light-addressable electrochemical sensor (LAES) for imaging.
  • Monitored dynamic AC photocurrent changes in MCF-7 breast adenocarcinoma cells treated with tamoxifen.
  • Analyzed changes in ζ potential and Faradaic impedance to understand photocurrent variations.

Main Results:

  • Observed an increase in AC photocurrent on apoptotic MCF-7 cells.
  • Demonstrated heterogeneous degrees of apoptosis among individual cells.
  • Correlated photocurrent increase with increased cell membrane permeability and cell-substrate gap widening during apoptosis.

Conclusions:

  • The LAES method provides a novel approach for label-free visualization of apoptosis heterogeneity.
  • This technique has significant potential for drug screening and evaluating drug efficacy in cancer therapy.
  • Understanding apoptosis heterogeneity is key for personalized cancer treatment strategies.

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