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Updated: Jun 25, 2025
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A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
Published on: October 15, 2013
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AM-DMF-SCP: Integrated Single-Cell Proteomics Analysis on an Active Matrix Digital Microfluidic Chip.
Zhicheng Yang1,2, Kai Jin3, Yimin Chen1,2
1Department of Analytical Chemistry, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
JACS Au
|May 31, 2024
Summary
We developed an automated microfluidic chip for single-cell proteomics (AM-DMF-SCP), enabling rapid protein identification in individual cells. This technology reveals unique cellular features and potential drug resistance markers.
Area of Science:
- Proteomics
- Microfluidics
- Cellular Biology
Background:
- Single-cell proteomics provides deep insights into cellular diversity and biological processes.
- Understanding cellular mechanisms requires high-resolution proteomic analysis at the single-cell level.
Purpose of the Study:
- To develop an automated platform for single-cell proteomics.
- To apply this platform for comparative cell line analysis and drug resistance studies.
Main Methods:
- Development of an active-matrix digital microfluidic chip for integrated sample processing (AM-DMF-SCP).
- Utilized data-independent acquisition (DIA) for proteomic analysis.
- Applied machine learning for comparative analysis of tumor cell lines (HeLa, A549, HepG2).
Main Results:
- Identified an average of 2258 protein groups per single HeLa cell in 15 minutes.
- Differentiated unique proteomic features across three tumor cell lines using machine learning.
- Observed elevated VIM expression correlating with resistance in EGFR inhibitor-resistant cells (67R).
Conclusions:
- AM-DMF-SCP is an automated, robust, and sensitive platform for single-cell proteomics.
- This approach offers valuable insights into cellular mechanisms and drug resistance.
- Potential for broad applications in biological research and clinical diagnostics.
