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Nano-Electro-Sampling and Intelligent Analysis System for Real-Time Gene Profiling of Living Cells
Zhaocun Huang1, Feng Liu1, Deyuan Zhi2
1School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Small (Weinheim an Der Bergstrasse, Germany)
|September 30, 2025
Summary
A new Nano-Electro-Sampling and Intelligent Analysis (Nesta) system enables real-time genetic profiling of living cells. This breakthrough facilitates dynamic therapeutic monitoring and timely treatment optimization for diseases like lung cancer.
Area of Science:
- Biotechnology
- Molecular Biology
- Medical Diagnostics
Background:
- Accurate intracellular genetic profiling of living cells is crucial for monitoring therapeutic responses and optimizing treatments.
- Existing methods face challenges in achieving real-time gene analysis while preserving cell viability.
Purpose of the Study:
- To develop a novel system for real-time intracellular genetic profiling of living cells.
- To enable dynamic monitoring of therapeutic response and facilitate timely treatment optimization.
Main Methods:
- Development of a Nano-Electro-Sampling and Intelligent Analysis (Nesta) system with a portable biochip.
- Utilizing nanopore-focused electric fields for safe cell membrane perforation and intracellular gene extraction.
- Employing chip rotation for sample transfer, minimizing loss and contamination.
- Integrating an intelligent image analysis program for quantitative gene analysis from smartphone-captured images.
Main Results:
- The Nesta system demonstrated over 90% detection concordance with gene sequencing in 50 primary lung cancer cell samples.
- Established a significant correlation between rebound expression of EGFR mutant genes and acquired drug resistance (AUC = 0.95).
- Achieved precise quantitative analysis of intracellular genes from living cells.
Conclusions:
- The Nesta system offers a transformative approach for real-time gene analysis of living cells.
- Enables dynamic therapeutic monitoring and timely treatment adjustments.
- Shows high accuracy and potential for clinical applications in oncology.

