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Nagel, L.

Publications and source records attributed to Nagel, L..

4 recordsLinked to original sources

High-Level Expression, Purification and Biophysical Characterization of GPI-anchored native-like human Prion Protein using Leishmania tarentolae

The human prion protein (PrP) is a glycosylphosphatidylinositol (GPI)-linked membrane-bound glycoprotein, containing two glycosylation sites. Human PrP is associated with a number of neurodegenerative diseases, called transmissible spongiform encephalopathies (TSE). Pathogenesis involves a structural conversion of the cellular form (PrPC), rich in -helical and random coil structure, into the scrapie form (PrPSc) characterized by parallel in register intermolecular {beta}-sheet conformation. To get a better understanding of this structural conversion, it is crucial to first characterize the non-pathogenic cellular isoform including all posttranslational modifications, like GPI-anchoring and native-like human glycosylation pattern. So far, studies on PrPC or PrPSc as well as the transition from one state to the other rely on non-native constructs of PrP studied far away from physiological conditions. We, therefore, established the expression of GPI-linked human PrP with close to native glycosylation pattern (native-like human PrP) using the eukaryotic LEXSY expression system in Leishmania tarentolae. This expression system has the added advantage that it allows for large-scale production of the native-like human PrP, which results in [~]1 mg purified protein per liter culture. Sedimentation velocity analysis and far-UV circular dichroism spectroscopy confirm the high structural homogeneity and monomeric native-like conformation of the purified GPI-anchored human PrP.

biophysics↗

Gene expression adaptation of metastases to their host tissue

The adaptation of metastatic cells to their host tissue critically determines the pathogenicity of a cancer and therefore patient survival. Yet, it remains elusive to what extent the host environment drives gene expression programs in metastatic cells. Here we identify adaptive mechanisms that enable metastases to establish themselves in a novel tissue context. We performed single-cell RNA-sequencing on malignant and benign tissue samples from untreated donors with colorectal adenocarcinoma and liver metastasis to deduce tissue adaptive expression patterns. A novel computational approach identified genes and pathways that consistently adapted to the host tissue at the transition from the primary tumor to the paired metastasis across donors. This analysis revealed that the majority of expression changes in the metastasis reflect an expression signature reminiscent of benign liver epithelial cells. Cellular processes adapting to the liver environment include basic cellular functions such as energy metabolism, as well as tissue-specific pathways such as the regulation of lipid metabolism by PPAR-. These adaptations potentially increase the pathogenicity of the metastatic cells and may provide new therapeutic strategies.

cancer biology↗

Enhancing the biological insight from limited proteolysis-coupled mass spectrometry

Limited proteolysis combined with mass spectrometry (LiP-MS) facilitates probing structural changes on a proteome-wide scale in situ. Distinguishing the different signal contributions, such as changes in protein abundance, from protein abundance changes remains challenging. We propose a two-step approach, first removing unwanted variations from the LiP signal that are not caused by protein structural effects and subsequently inferring the effects of variables of interest on the remaining signal. Using LiP-MS data from three species we demonstrate that our framework provides a uniquely powerful approach for deconvolving LiP-MS signals and inferring protein structural changes.

bioinformatics↗

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↗