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Updated: Jan 20, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Rapid and Label-Free Structural Proteomics Using One-Step Swift Trypsin LiP-MS
Yasuomi Miyashita1,2,3, Ryo Konno1, Satoshi Ogasawara3,4
1Department of Applied Genomics, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan.
None:
Limited proteolysis mass spectrometry (LiP-MS) is a powerful approach for probing protein conformational changes on a proteome-wide scale. However, conventional workflows rely on a two-step digestion with proteinase K and trypsin, which increases complexity and reduces reproducibility and sensitivity. This study aimed to develop a simplified one-step protocol, termed Swift Trypsin LiP-MS (STLiP-MS), which uses a trypsin-immobilized spin column and high-speed centrifugation to achieve rapid and reproducible surface-limited proteolysis. Using HEK293 cell extracts, STLiP-MS identified 286 proteins exhibiting conformational changes upon phosphatase inhibition, including 37 enriched in phosphatase-related Gene Ontology categories. The method improvements, including suppression of predigestion and immediate enzyme inactivation, further increased sensitivity, enabling the detection of 799 proteins with structural alterations, of which 77 were enriched in phosphatase-related categories. Comparison with the single-pot solid-phase-enhanced sample preparation (SP3) method confirmed that these changes originated from structure-selective proteolysis and were not detectable under fully denaturing conditions. To demonstrate its broader applicability, we applied STLiP-MS to the adenosine A2A receptor (A2A-BRIL) and observed antibody-induced protection of extracellular loop 2 (residues 147-176). Cryogenic electron microscopy validated Fab fragment binding to the same region, confirming the correspondence between STLiP-MS signals and actual antibody-antigen interfaces. Collectively, these results show that STLiP-MS is a rapid and robust platform that enables sensitive, label-free detection of local structural changes under near-physiological conditions and accurate prediction of protein-protein interaction sites. This method holds great promise for applications in structural proteomics and drug target identification.
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