Analysis of Single Nucleotide-Mutated Single-Cancer Cells Using the Combined Technologies of Single-Cell Microarray

Hajime Shigeto1, Eriko Yamada1, Mizuki Kitamatsu2

  • 1Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2217-14 Hayashi-cho, Takamatsu, Kagawa 761-0395, Japan.

Micromachines
|July 2, 2020
PubMed

Insights

This study introduces a novel system for detecting single cancer cells with specific gene mutations, like T790M-mutated epidermal growth factor receptor (EGFR), within larger cell populations. This advancement aids in analyzing drug-resistant cancer cells more effectively.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Cancer Research

Background:

  • Detecting single cancer cells with specific gene mutations, particularly those conferring drug resistance, remains a challenge in cancer research.
  • Existing methods struggle to analyze target single nucleotide-mutated cells within complex samples like cancer tissue.

Purpose of the Study:

  • To develop a new system for detecting and isolating single cancer cells expressing the T790M-mutated epidermal growth factor receptor (EGFR) mRNA.
  • To enable the analysis of rare drug-resistant cancer cells within a heterogeneous population.

Main Methods:

  • Utilized a single-cell microarray chip with 62,410 microchambers for cell separation.
  • Employed peptide nucleic acid (PNA)-DNA probes conjugated with fluorescein isothiocyanate (FITC) for specific T790M mutation detection.
  • Successfully separated T790M-mutated (NCI-H1975) and non-mutated (A549) lung cancer cell lines into individual microchambers.

Main Results:

  • The developed system successfully separated lung cancer cell lines into single cells within microchambers.
  • Fluorescein isothiocyanate (FITC)-conjugated PNA probes specifically stained T790M-mutated NCI-H1975 cells.
  • Quantitative analysis of T790M-mutated cells spiked into non-mutated cells was achieved within 1 hour, with detection rates varying from 0-20% based on concentration.

Conclusions:

  • The combined use of single-cell microarray chips and PNA-DNA probes provides an effective system for detecting and isolating rare, drug-resistant cancer cells.
  • This technology holds significant potential for analyzing cancer tissue containing a low percentage of anticancer drug-resistant cells.
  • The system facilitates a deeper understanding of cancer cell heterogeneity and drug resistance mechanisms at the single-cell level.