ArticleChemical science2023
All-in-One digital microfluidics pipeline for proteomic sample preparation and analysis.
Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Integrating Low-Voltage Microfluidics With On-Chip Electrospray Ionization for Miniaturized Protein Analysis.Small methods · 2026Review
- Bacterial Proteomics and Antibiotic Resistance Identification: Is Single-Cell Analysis a Worthwhile Pursuit?Pathogens (Basel, Switzerland) · 2025Review
- Single-cell proteomics using mass spectrometry.Cell genomics · 2025Review
- Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics.Microsystems & nanoengineering · 2025Article
- Digital Microfluidics for Sample Preparation in Low-Input Proteomics.Small methods · 2025Review
- Emerging Trends in Integrated Digital Microfluidic Platforms for Next-Generation Immunoassays.Micromachines · 2024Review
- Toward Analysis at the Point of Need: A Digital Microfluidic Approach to Processing Multi-Source Sexual Assault Samples.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Open and closed microfluidics for biosensing.Materials today. Bio · 2024Review
- AM-DMF-SCP: Integrated Single-Cell Proteomics Analysis on an Active Matrix Digital Microfluidic Chip.JACS Au · 2024Article
- ChipFilter: Microfluidic-Based Comprehensive Sample Preparation Methodology for Microbial Consortia.Journal of proteome research · 2024Article
- Review
- Integrating single-cell and spatially resolved transcriptomic strategies to survey the astrocyte response to stroke in male mice.Nature communications · 2024Article
- Trace Sample Proteome Quantification by Data-Dependent Acquisition without Dynamic Exclusion.Analytical chemistry · 2023Article
- Unlocking the potential of microfluidics in mass spectrometry-based immunopeptidomics for tumor antigen discovery.Cell reports methods · 2023Review
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Highly sensitive and reproducible analysis of samples containing low amounts of protein is restricted by sample loss and the introduction of contaminants during processing. Here, we report an All-in-One digital microfluidic (DMF) pipeline for proteomic sample reduction, alkylation, digestion, isotopic labeling and analysis. The system features end-to-end automation, with integrated thermal control for digestion, optimized droplet additives for sample manipulation and analysis, and an automated interface to liquid chromatography with tandem mass spectrometry (HPLC-MS/MS). Dimethyl labeling was integrated into the pipeline to allow for relative quantification of the trace samples at the nanogram level, and the new pipeline was applied to evaluating cancer cell lines and cancer tissue samples. Several known proteins (including HSP90AB1, HSPB1, LDHA, ENO1, PGK1, KRT18, and AKR1C2) and pathways were observed between model breast cancer cell lines related to hormone response, cell metabolism, and cell morphology. Furthermore, differentially quantified proteins (such as PGS2, UGDH, ASPN, LUM, COEA1, and PRELP) were found in comparisons of healthy and cancer breast tissues, suggesting potential utility of the All-in-One pipeline for the emerging application of proteomic cancer sub-typing. In sum, the All-in-One pipeline represents a powerful new tool for automated proteome processing and analysis, with the potential to be useful for evaluating mass-limited samples for a wide range of applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.