Formalin-fixed and paraffin-embedded (FFPE) and optimal cutting temperature (OCT)-embedded and frozen tissue specimens in biobanks are highly valuable in clinical studies but proteomic and post-translational modification (PTM) studies using mass spectrometry (MS) have been limited due to structural arrangement of proteins and contaminations from embedding material. This study aims to develop a parallel proteomic workflow for FFPE and OCT/frozen samples that allows for large-scale, quick, reproducible, qualitative, and quantitative high-resolution MS analysis. The optimized protocol gives details on removal of embedding material, protein extraction, and multienzyme digestion using filter-aided sample preparation method. The method was evaluated by investigating the protein expression levels in nonmuscle-invasive and muscle-invasive bladder cancer samples in two cohorts and MS spectra were carefully reviewed for contaminations. More than 2000 and 3000 proteins in FFPE and OCT/frozen samples, respectively, were identified, and samples could be clustered in different tumor stages based on their protein expression. Furthermore, more than 250 and 400 phosphopeptides could be identified from specific patient samples of FFPE and OCT/frozen, respectively, using titanium dioxide enrichment. The paper presents unique data describing the similarities and differences observed in FFPE and OCT/frozen samples and shows the feasibility to detect proteins and site-specific phosphorylation even after long-term storage of clinical samples.

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Protein-protein interactions (PPIs) mediate numerous essential functions and regulatory events in living organisms. The physical interactome of a protein can be abnormally altered in response to external and internal cues, thus modulating cell physiology and contributing to human disease. In particular, neurodegenerative diseases due to the accumulation of aberrantly folded and aggregated proteins may lead to alterations in protein interactomes. Identifying changes in the interactomes of normal and disease states of proteins could help to understand molecular disease mechanisms, but current interactomics methods are limited in the ability to pinpoint structure-specific PPIs and their interaction interfaces on a proteome-wide scale. Here, we adapted limited proteolysis-mass spectrometry (LiP-MS) to systematically identify putative structure-specific PPIs by probing protein structural alterations within cellular extracts upon treatment with specific structural states of a given protein. We demonstrate the feasibility of our method to detect well-characterized PPIs, including antibody-target protein interactions and interactions with membrane proteins, and show that it pinpoints PPI interfaces. We then applied the LiP-MS approach to study the structure-specific interactors of the Parkinson's disease hallmark protein alpha-synuclein (aSyn). We identified several previously known interactors of both aSyn monomer and fibrils and provide a resource of novel putative structure-specific interactors for further studies. This approach is applicable to identify structure-specific interactomes of any protein, including posttranslationally modified and unmodified, or metabolite-bound and unbound structural states of proteins.

During evolution, plants have faced countless stresses of both biotic and abiotic nature developing very effective mechanisms able to perceive and counteract adverse signals. The biggest challenge is the ability to fine-tune the trade-off between plant growth and stress resistance. The Antarctic plant Colobanthus quitensis has managed to survive the adverse environmental conditions of the white continent and can be considered a wonderful example of adaptation to prohibitive conditions for millions of other plant species. Due to the progressive environmental change that the Antarctic Peninsula has undergone over time, a more comprehensive overview of the metabolic features of C. quitensis becomes particularly interesting to assess its ability to respond to environmental stresses. To this end, a differential proteomic approach was used to study the response of C. quitensis to different environmental cues. Many differentially expressed proteins were identified highlighting the rewiring of metabolic pathways as well as defense responses. Finally, a different modulation of oxidative stress response between different environmental sites was observed. The data collected in this paper add knowledge on the impact of environmental stimuli on plant metabolism and stress response by providing useful information on the trade-off between plant growth and defense mechanisms.