Active-Matrix DMF Single-Cell Proteomics Identifies Drug-Resistance Signature in EGFR-Mutant NSCLC Cells
Yang et al. (2024) developed an active-matrix digital microfluidic single-cell proteomics (AM-DMF-SCP) platform and applied it to characterize the proteomic landscape of EGFR inhibitor resistance at single-cell resolution. The study was published in JACS Au (DOI: 10.1021/jacsau.4c00027).
Study design: An active-matrix DMF chip — where each electrode is individually addressable via thin-film transistor (TFT) switching, analogous to an LCD display — integrated all sample preparation steps (cell lysis, protein reduction, alkylation, digestion, and peptide cleanup) within nanoliter-volume droplets. The processed peptides were analyzed by data-independent acquisition (DIA) mass spectrometry using a 15-minute LC gradient. Single HeLa cells yielded an average of 2,258 protein groups identified per cell. The platform was then applied to compare three human tumor cell lines — HeLa (cervical adenocarcinoma), A549 (lung adenocarcinoma), and HepG2 (hepatocellular carcinoma) — with machine learning classification identifying cell-line-specific proteomic features that distinguished each lineage at the single-cell level.
Drug-resistance application: To demonstrate translational utility, the AM-DMF-SCP platform profiled NCI-H1975 non-small cell lung cancer cells harboring the EGFR L858R/T790M double mutation, comparing parental cells against a derived line resistant to the third-generation EGFR inhibitor ASK120067 (67R cells). Single-cell proteomic analysis revealed elevated vimentin (VIM) expression in the resistant 67R population — a mesenchymal marker consistent with epithelial-to-mesenchymal transition (EMT)-associated drug resistance — alongside alterations in metabolic enzymes and cytoskeletal proteins. These single-cell-resolved proteomic signatures were concordant with bulk-sample analyses, validating the platform's quantitative fidelity while additionally resolving cell-to-cell heterogeneity masked in bulk measurements.
Relevance to DMF-MS services: This study demonstrates that active-matrix DMF platforms achieve single-cell proteomic depth and quantitative accuracy comparable to established microfluidic systems, while offering greater programmability through TFT-based electrode addressing. For drug discovery programs seeking to characterize resistance mechanisms, assess target engagement heterogeneity, or profile precious clinical specimens at the single-cell level, our DMF-MS platform provides the same core architecture — programmable nanoliter sample preparation with direct MS readout — adapted to your specific experimental design and throughput requirements.