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Updated: Feb 15, 2026

A Method for Screening and Validation of Resistant Mutations Against Kinase Inhibitors
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Multiple single cell screening and DNA MDA amplification chip for oncogenic mutation profiling

Ren Li1, Mingxing Zhou, Chunyan Yue

  • 1CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China. Huzy@nanoctr.cn weizw@nanoctr.cn.

Lab on a Chip
|January 24, 2018
PubMed

Insights

This study presents a microfluidic chip for precise single-cell mutation profiling in cancer. The cost-effective method accurately identifies oncogenic and resistance mutations, crucial for targeted therapy response prediction.

Area of Science:

  • Oncology
  • Biotechnology
  • Genomics

Background:

  • Cancer cell mutation heterogeneity impacts targeted therapy response and resistance.
  • Accurate single-cell mutation profiling is hindered by non-cancerous cell noise and high sequencing costs.
  • Existing methods struggle to provide comprehensive mutation information at the single-cell level.

Purpose of the Study:

  • To develop a cost-effective microfluidic chip for single-cell mutation profiling.
  • To overcome challenges of background noise and high workload in mutation analysis.
  • To enable accurate evaluation of oncogenic and resistant mutations at the single-cell level.

Main Methods:

  • Development of a microfluidic chip with novel tri-state valves for precise cell and reagent control.
  • Integration of cell trapping, identification, lysis, and in situ multiple displacement amplification (MDA) on a single chip.
  • Validation using a proof-of-concept assay for EGFR-targeted Gefitinib treatment in lung cancer cells.

Main Results:

  • The microfluidic chip successfully enabled single-cell analysis, including MDA amplification.
  • The system demonstrated the capability to detect multiple mutations within individual cells.
  • Complete mutation scenario information was obtained at the single-cell level using cost-effective Sanger sequencing.

Conclusions:

  • The developed microfluidic chip offers a precise and cost-effective solution for single-cell mutation profiling.
  • This method accurately identifies mutation heterogeneity, essential for predicting targeted therapy outcomes.
  • The technology has the potential to improve personalized cancer treatment strategies.

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