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Haenseler, W.

Publications and source records attributed to Haenseler, W..

5 recordsLinked to original sources

Deconvolving the structural heterogeneity of alpha-Synuclein in vitro and in situ

The structural states of proteins in cells and tissues provide important insight into their functional states, but studying protein structures in situ remains challenging. Furthermore, a single protein can adopt multiple conformations in cells, which typically cannot be assessed by most structural approaches. Here we developed a novel approach, based on structural proteomics fingerprints, for the quantitative analysis of the distribution of structural states of a protein in vitro and in situ. We applied it to the Parkinsons disease hallmark protein alpha-synuclein (aSyn), for which various structural states (disordered, helical, oligomeric and amyloid fibrillar, among others) have been characterized in vitro, but for which the in vivo structural states remain hotly debated. We measured structure-specific proteolytic fingerprints from well-characterized aSyn in vitro conformations and used them to quantitatively determine the aSyn conformational composition in samples of interest. We first benchmarked our approach using ground truth datasets of known composition and showed that, during in vitro amyloid fibril formation, we could simultaneously detect a time-dependent decrease in disordered monomeric aSyn, an increase in {beta}-sheet-rich oligomers, and a delayed rise in amyloid fibrils. We then applied the method to complex, biologically relevant samples. In a S. cerevisiae aSyn overex-pression model, aSyn was predominantly helical, with an increased helical fraction accompanying its relocalization from the plasma membrane to cytosolic lipid droplets. This shift was linked to proteome-wide changes in lipid droplet homeostasis and fatty acid and ergosterol metabolism, underscoring the role of lipid metabolism and droplet formation in aSyn biology. Importantly, we also detected helical aSyn in human iPSC-derived cortical neurons, supporting the physiological relevance of this conformation. Finally, neurons differentiated from PD patient-derived iPSCs showed elevated levels of {beta}-sheet-rich aSyn compared to wild-type cells. Our approach allowed the in situ identification and quantification of different structural states of aSyn directly in cell lysates. Since several proteins can adopt multiple, functionally-relevant conformations in cells, our approach should be broadly applicable to in situ, quantitative structural and functional studies of proteins.

neuroscience↗

Structure-function relationship of alpha-synuclein fibrillar polymorphs derived from distinct synucleinopathies

The aggregation of the protein alpha-synuclein (Syn) is a common feature of multiple neurodegenerative diseases collectively called synucleinopathies, for which the pathobiology is not well understood. The different phenotypic characteristics of the synucleinopathies Parkinsons disease (PD), Dementia with Lewy Bodies (DLB) and Multiple System Atrophy (MSA) have been proposed to originate from the distinct structures adopted by Syn in its amyloid forms. Here, using covalent labeling and limited proteolysis coupled to mass spectrometry (LiP-MS) in vitro and in situ within neuronal cells and directly in native patient brain homogenates, we show that pathogenic Syn from distinct synucleinopathies (PD, DLB and MSA) are structurally different. Further, we found that fibrillar structural differences are associated with different fibril interactomes and neuronal responses. We discovered disease-specific ubiquitination patterns and turnover profiles for pathogenic Syn species, detected molecular pathways responding specifically to the uptake of different Syn fibrillar polymorphs, and identified a subset of the involved proteins as candidate direct interactors of Syn. In particular, components of the Ubiquitin-proteasomal System (UPS), including E3 ubiquitin ligases, chaperones, and Deubiquitinating proteins, showed disease/polymorph-specific interaction patterns, possibly accounting for different resistance of patient-derived Syn fibrils to degradation. Genetic modulation with CRISPR-based tools showed that members of the UPS degradation pathway (three E3 ligases: UBE3A, TRIM25, HUWE1 and the AAA+ ATPase VCP) reduced Syn inclusions, in a strain-specific manner. LiP-MS also identified sets of proteins with altered protease susceptibility in postmortem brain homogenates of PD, DLB, and MSA patients. These sets were largely disease-specific and included proteins altered in cells treated with fibrils derived from patients with the matching disease. Our findings provide insight into cellular processes involved in the accumulation and turnover of Syn pathogenic aggregates in PD, DLB and MSA in a disease specific manner and constitutes a resource of potential novel drug targets in these synucleinopathies.

systems biology↗

An approach to characterize mechanisms of action of anti-amyloidogenic compounds in vitro and in situ

Aggregation of amyloidogenic proteins is associated with neurodegenerative disease and its modulation is a focus of drug development efforts. However, the physicochemical properties and structural heterogeneity of amyloidogenic proteins hinder the mechanistic understanding of anti- amyloidogenic compounds. Further, modes of interaction with amyloidogenic proteins are often probed in vitro using purified protein samples, even though these models may not capture in vivo protein structures and do not enable identification of off-target effects. We have developed a modular structural proteomic pipeline based on limited proteolysis coupled to mass spectrometry (LiP-MS) with improved, amino acid level-resolution, to probe the mechanism of action of anti- amyloidogenic compounds. We demonstrate our approach by analysing the interactions of six known or putative anti-amyloidogenic compounds and the amyloid binder Thioflavin T (ThT) with different structural forms of the amyloidogenic Parkinsons disease (PD) protein -Synuclein. Our approach enables determination of putative interaction sites, identification of whether interactions are covalent or non-covalent, and crucially, can probe for interactions of compounds with physiological structures of -Synuclein in complex cell and tissue extracts and identify off-targets. In vitro analyses with our pipeline showed that the green tea polyphenol EGCG induces an N- and C-terminus- dependent compaction of the unstructured -Synuclein monomer, detected preferential interactions of ThT with the N-terminus of -Synuclein fibrils compared to the amyloid core, and showed that the most potent inhibitors of aggregation in our study (EGCG, baicalein and AC Immune compound #2) induced similar non-fibrillar end structures despite different interactions with -Synuclein monomers. Importantly, in mammalian cell lysates, -Synuclein was either a low-affinity target (for EGCG and Baicalein) or did not show evidence of compound interaction (for ThT and doxycycline) in our experimental conditions, despite both monomeric and fibrillar forms interacting with these compounds in vitro. For EGCG, we validated this result in postmortem brain homogenates from PD patients. These in situ analyses identified many additional putative cellular targets of Doxycycline, EGCG, Baicalein and ThT, suggesting that their effects in cellular or animal models of neurodegeneration are likely due to interactions with proteins other than -Synuclein and showing that anti-amyloidogenic compounds should be analyzed in situ as well as in vitro. Our modular pipeline will enable in situ screening of drugs and PET tracers for amyloid aggregates of interest as well as detailed mechanistic studies of compound action in vitro.

systems biology↗

Systematic identification of structure-specific protein-protein interactions

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 Parkinsons disease hallmark protein alpha-synuclein (aSyn). We identified several previously known interactors of both aSyn monomer and amyloid 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.

systems biology↗

Human induced pluripotent stem cell-derived arteries as personalized models of atherosclerosis on-a-chip

Atherosclerosis is an arterial disease characterized by intravascular plaques. Disease hallmarks are vessel stenosis and hyperplasia, eventually escalating into plaque rupture and acute clinical presentations. Innate immune cells and local variations in hemodynamics are core players in the pathology, but their mutual relationship has never been investigated before due to the lack of modeling systems with adequate degree of complexity. Here, we combined computational fluid dynamics and tissue-engineering to achieve, for the first time in vitro, full atherosclerotic plaque development. Our model incorporates induced pluripotent stem cell-derived populations into small-caliber arteries that are cultured in atheroprone conditions. Using machine-learning-aided immunophenotyping, molecular and nanoprobe-based tensile analyses, we found that immune cells, extracellular matrix components and tensional state were comparable between in vitro and ex vivo human lesions. Our results provide further insights into the relation between hemodynamics and inflammation, introducing a versatile, scalable modeling tool to study atherosclerosis onset and progression.

bioengineering↗