Temperature-Responsive Agarose-Based Digital Microfluidics: An In-Chip Sample Preparation To Mass Spectrometry Analysis for Trace Cells and Single-Cell Proteomics

Mass spectrometry (MS)-based single- and trace-cell proteomics provides critical insights into cellular phenotypes, but widespread use is limited by the cost and complexity of advanced MS systems. We present a cost-effective, accessible workflow compatible with standard MS platforms and scalable for multiomics. The temperature-responsive agarose-based digital microfluidics (TRA-DMF) platform enables one-step sample processing, including lysis, reduction/alkylation, and digestion, in a parallel four-channel format. Unlike conventional droplet-based microfluidics or fluorescence-activated cell sorting (FACS) approaches, our DMF system ensures real-time visualization and confirmation of single-cell capture and 98.3% sample recovery, minimizing losses through nonpipetting transfer. The TRA-DMF system also overcomes the MS-incompatibility of oil-phase microfluidics, allowing high-efficiency droplet transfer to MS vials. The entire TRA-DMF for single cell proteomics (TRA-DMF-SCP) workflow is completed in ∼3 h (including single-cell capture), with seamless sample introduction into standard LC-MS/MS systems. Using a regular benchtop MS instrument Orbitrap Fusion, we identified over 4000 protein groups (PGs) from 50 293T cells with excellent reproducibility and robustness. This system offers a practical and scalable solution for trace- and single-cell proteomics and holds strong potential for integration into routine multiomics workflows.

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Publication Details

Journal
Analytical Chemistry
Published
2026-01-12
DOI
https://doi.org/10.1021/acs.analchem.5c06267
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Temperature-Responsive Agarose-Based Digital Microfluidics: An In-Chip Sample Preparation To Mass Spectrometry Analysis for Trace Cells and Single-Cell Proteomics

Yingyan Zhou, Yu-Chun Lin, Huimin Zhang, Ling Yan et al.
Analytical Chemistry
Advanced Proteomics Techniques and Applications
article

Temperature-Responsive Agarose-Based Digital Microfluidics: An In-Chip Sample Preparation To Mass Spectrometry Analysis for Trace Cells and Single-Cell Proteomics

Yingyan Zhou, Yu-Chun Lin, Huimin Zhang, Ling Yan, Lin Zhu, Zongwei Cai, Pengyuan Yang, Jiacheng Fang, Dan Li, Zhi Zhu
article en

Abstract

Mass spectrometry (MS)-based single- and trace-cell proteomics provides critical insights into cellular phenotypes, but widespread use is limited by the cost and complexity of advanced MS systems. We present a cost-effective, accessible workflow compatible with standard MS platforms and scalable for multiomics. The temperature-responsive agarose-based digital microfluidics (TRA-DMF) platform enables one-step sample processing, including lysis, reduction/alkylation, and digestion, in a parallel four-channel format. Unlike conventional droplet-based microfluidics or fluorescence-activated cell sorting (FACS) approaches, our DMF system ensures real-time visualization and confirmation of single-cell capture and 98.3% sample recovery, minimizing losses through nonpipetting transfer. The TRA-DMF system also overcomes the MS-incompatibility of oil-phase microfluidics, allowing high-efficiency droplet transfer to MS vials. The entire TRA-DMF for single cell proteomics (TRA-DMF-SCP) workflow is completed in ∼3 h (including single-cell capture), with seamless sample introduction into standard LC-MS/MS systems. Using a regular benchtop MS instrument Orbitrap Fusion, we identified over 4000 protein groups (PGs) from 50 293T cells with excellent reproducibility and robustness. This system offers a practical and scalable solution for trace- and single-cell proteomics and holds strong potential for integration into routine multiomics workflows.

Analytical ChemistryVol. 98(3)
Eastern Institute of Technology (NZ), Hong Kong Baptist University (HK), Xiamen University (CN), Fudan University (CN), National Center of Biomedical Analysis (CN), State Key Laboratory of Chemical Engineering (CN), Institute of Biomedical Science (GB)
Openalex Percentile: Top 91%
Advanced Proteomics Techniques and Applications
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