Abstract

Abstract (a) Proteomics relies on protein digestion into smaller fragments/peptides and converge to proteome sequence information, classification, and expression levels without a screen of the cellular protein activities. Activity-based proteome profiling (ABPP) is emerging as a tool for functional proteomics based on mass spectrometry. We established an ABPP-SWATH/DIA MS platform compatible with OCT-embedded biopsies for differential global serine hydrolase (SHs) activity profiling and determine the Relative Depletion-Detected Activity (RDDA) index that reflects the relative activity of SHs in type IIIA lung adenocarcinoma biopsies. (b) To prevent digestion on streptavidin beads and MS spectra contamination, we used SWATH/DIA-MS2 signal intensities for the assessment of the ratio between the biopsy-extract solution either treated with DMSO or which had earlier been depleted with chemical probe for active enzyme molecules. We processed 24 lung biopsies (having a solution of depleted and non-depleted proteome) of long and short survivors with type IIIA lung adenocarcinoma tumor and their normal tissue counterparts and included peptides of 65 known endogenous inhibitors of SH. In parallel experiments, we analyzed the catalytically depleted part of the molecule by conventional ABPP-MS approach integrated on bead sample digestion. (c) We quantified 117 proteins annotated to the serine hydrolase family, of which as much as 60% was depleted with a CI of 90% in the biopsy-extract solution incubated with chemical probe. Among 133 enzymes monitored over the entire clinical cohort, we found as many as 89 enzymes with significant depletion that we further used to generate the activity SH profiles of each biopsy. We found 36 enzymes exclusively depleted in tumor tissue, both in short and long survivals, and with depletion absent from normal counterparts. By quantification of the catalytically active part of the molecule on the streptavidin bead sample pull-down digest, we found only 9 proteins that contained quality data for spectral counting comparisons. Partial Least Squares Discriminant Analysis (PLS-DA) analysis revealed the activity profiles of 9 enzymes perfectly discriminating the tumor tissues of short survivals, and these enzyme signatures were enhanced by the elevated activity of 2 enzymes - ADH1C and IAH1- in short-term survivors. (d) We have demonstrated that this approach can substantially increase the differential detection of protease activity between oncogenic lung tissue and their normal tissue counterparts. Citation Format: Tatjana Sajic, Stephan Arni, Rudolf Aebersold, Sven Hillinger. Activity based protein profiling by SWATH/DIA-MS mode (ABPP-SWATH/DIA-MS) from OCT-embedded tissues biopsies reveals lung tumor-specific protease profiles [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6482.

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