All-in-One digital microfluidics pipeline for proteomic sample preparation and analysis

Area of Science:

• Proteomics
• Analytical Chemistry
• Biotechnology

Background:

• Analyzing low-abundance proteins is challenging due to sample loss and contamination.
• Existing methods often lack sensitivity and reproducibility for trace samples.

Purpose of the Study:

• To develop an automated All-in-One digital microfluidic (DMF) pipeline for comprehensive proteomic sample processing and analysis.
• To enable sensitive and reproducible quantification of nanogram-level protein samples.

Main Methods:

• An integrated DMF system automating reduction, alkylation, digestion, and isotopic labeling.
• Utilized dimethyl labeling for relative quantification of trace samples.
• Coupled the DMF pipeline with liquid chromatography-tandem mass spectrometry (HPLC-MS/MS).

Main Results:

• Successfully applied the pipeline to analyze cancer cell lines and tissue samples.
• Identified known proteins and pathways in breast cancer cell lines (e.g., hormone response, metabolism).
• Detected differentially quantified proteins in healthy versus cancer breast tissues, indicating potential for cancer sub-typing.

Conclusions:

• The All-in-One DMF pipeline offers a powerful, automated solution for proteomic sample processing.
• This technology significantly improves analysis of mass-limited samples.
• The pipeline shows promise for applications like proteomic cancer sub-typing.