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Updated: Mar 3, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Ultrafast peptide preparation brings shotgun proteomics into the minute era
Haowei Ma1, Ming Bi1, Lang Zhao2
1School of Chemical Science & Engineering, Tongji University, Shanghai, 200092, China.
Background:
Mass spectrometry-based shotgun proteomics relies on efficient sample preparation, where proteins are reduced, alkylated, and digested into peptides for LC-MS/MS analysis. While LC-MS/MS and bioinformatic identification have advanced to minute-scale workflows, sample preparation remains a major bottleneck, typically requiring hours to days. Although methods such as high-pressure and droplet-based reactions have reduced processing times, achieving minute-scale preparation has remained challenging. There is a clear need for an integrated, rapid sample preparation strategy to match the speed of modern LC-MS/MS and data analysis platforms.
Results:
We developed OPPRAD (One-Pot Protein Reduction, Alkylation, and Digestion), an ultrafast sample preparation method conducted in water-in-oil nano/micro-droplets. This one-pot process completes all three key reactions within 5 min. When integrated with rapid LC-MS/MS on the Orbitrap Astral platform and MSFragger- or DIA-NN-based identification, the entire workflow achieved serum-to-peptide identification in 25.9 min and tissue-to-identification in 35.9 min-the fastest reported proteomic pipeline. The method showed high peptide recovery (∼68-71%), excellent cysteine alkylation (>99%), and miss cleavage rates comparable to conventional bulk digestion. It enabled deep proteome coverage across a wide dynamic range and was successfully applied to identify differentially expressed proteins in paired liver cancer tissues.
Significance:
OPPRAD drastically shortens proteomic sample preparation from hours to minutes, reducing steps, cost, and hands-on time. This innovation bridges a critical gap in high-throughput proteomics, enabling rapid translational applications and large-scale clinical studies. The method's speed and efficiency pave the way for real-time proteomic analysis and future integration with online desalting and database searching.

