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Biology subjects

Denner, P.

Publications and source records attributed to Denner, P..

6 recordsLinked to original sources

The core herpes simplex-1 fusion complex drives cell-to-cell spreading of pathological Tau

Neurodegenerative diseases such as Alzheimers disease (AD) are characterized by the pathological aggregation of the host-encoded protein Tau into amyloid fibrils. Pathologic protein aggregates composed of Tau are able to spread from cell-to-cell, thereby contributing to disease progression. The exact mechanisms of intercellular dissemination remain ill-defined. Mounting evidence links the herpes simplex virus-1 (HSV-1) to the aetiology of AD. HSV-1 is a prevalent neurotropic virus that replicates in epithelial cells at the site of infection, and subsequently establishes lifelong latency in the peripheral and central nervous systems. In the quiescent latent state, AD brains show elevated expression of structural viral proteins in the absence of virus production. We hypothesized that HSV-1 glycoproteins involved in viral attachment and fusion facilitate the intercellular spreading of proteopathic seeds. Using cellular models, we demonstrate that expression of the HSV-1 core fusion complex, essential for viral entry and direct cell-to-cell transmission, is sufficient to promote aggregate dissemination between cells. Moreover, anti-HSV-1 antibodies present in the cerebrospinal fluid of patients with HSV-1 encephalitis efficiently neutralize viral infection, block viral cell-to-cell transmission, and inhibit propagation of pathological Tau. Thus, latent HSV-1 infection of the brain could contribute to neurodegenerative disease progression, and antiviral antibodies may represent a potential therapeutic strategy.

neuroscience↗

Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production

Data management and sample tracking in complex biological workflows are essential steps to ensure necessary documentation and guarantee the reusability of data and metadata. Currently, these steps pose challenges related to correct annotation and labeling, error detection, and safeguarding the quality of documentation. With growing acquisition of biological data and the expanding automatization of laboratory workflows, manual processing of samples is no longer favorable, as it is time- and resource-consuming, is prone to biases and errors, and lacks scalability and standardization. Thus, managing heterogeneous biological data calls for efficient and tailored systems, especially in laboratories run by biologists with limited computational expertise. Here, we showcase how to meet these challenges with a modular pipeline for data processing, facilitating the complex production of monoclonal antibodies from single B-cells. We present best practices for development of data processing pipelines concerned with extensive acquisition of biological data that undergoes continuous manipulation and analysis. Moreover, we assess the versatility of proposed design principles through a proof-of-concept data processing pipeline for automated induced pluripotent stem cell culture and differentiation. We show that our approach streamlines data management operations, speeds up experimental cycles and leads to enhanced reproducibility. Finally, adhering to the presented guidelines will promote compliance with FAIR principles upon publishing.

cell biology↗

An ex vivo human model for safety assessment of immunotoxicity of engineered nanomaterials

The unique physicochemical properties of nanomaterials (NM) and engineered nanomaterials (ENM) have pushed their use in many applications ranging from medicine to the food industry, textiles, and many more fields. Thus, human exposure to NM and ENM is growing by the day. However, the current toxicity tests do not reflect the special characteristics of ENM and are not developed for ENM risk assessment. Here we propose a high-throughput cell-based assay using human peripheral blood mononuclear cells (PBMCs) that can monitor the effects of NM and ENM on cytotoxicity and innate immunity. The proposed assay is fully automated and miniaturized, with excellent assay performance parameters (Z-score >0.5), amenable for large screening campaigns in industrial setting. Immunotoxicity data for ENM safety assessment are collected in dose-response format. At different states, multiparametric readouts for cytotoxicity, and innate immunity are conducted in a combinatorial method, avoiding ENM-induced bias by endotoxin contamination. Integrating this high-dimensional data, allows (i) holistic safety assessment of immunotoxicity effects caused by ENM, classifying safe and toxic ENM phenotypes, and (ii) to deconvolve mode of action of the ENM effect on the PBMCs. As added value the data obtained can be used to troubleshoot ENM or for a safe-by-design approach in product development.

immunology↗

Endogenous retroviruses promote prion-like spreading of proteopathic seeds

Endogenous retroviruses, remnants of viral germline infections, make up a substantial proportion of the mammalian genome. While usually epigenetically silenced, retroelements can become upregulated in neurodegenerative diseases associated with protein aggregation, such as amyotrophic lateral sclerosis and tauopathies. Here we demonstrate that spontaneous upregulation of endogenous retrovirus gene expression drastically affects the dissemination of protein aggregates between murine cells in culture. Viral glycoprotein Env mediates membrane association between donor and recipient cells and promotes the intercellular transfer of protein aggregates packaged into extracellular vesicles. Proteopathic seed spreading can be inhibited by neutralizing antibodies targeting Env as well as drugs inhibiting viral protein processing. Importantly, we show that also overexpression of a human endogenous retrovirus Env elevates intercellular spreading of pathological Tau. Our data highlight the potential influence of endogenous retroviral proteins on protein misfolding diseases and suggest that antiviral drugs could represent promising candidates for inhibiting protein aggregate spreading.

neuroscience↗

Human iPSC-derived brain endothelial microvessels in a multi-well format enable permeability screens of anti-inflammatory drugs

Optimizing drug candidates for blood-brain barrier (BBB) penetration in humans remains one of the key challenges and many devastating brain diseases including neurodegenerative diseases still do not have adequate treatments. So far, it has been difficult to establish state-of-the-art human stem cell derived in vitro models that mimic physiological barrier properties including a 3D microvasculature in a format that is scalable enough to screen drugs for BBB penetration in early drug development phases. To address this challenge, we established human induced pluripotent stem cell (iPSC)-derived brain endothelial microvessels in a standardized and scalable multi-well plate format. iPSC-derived brain microvascular endothelial cells (BMECs) were supplemented with primary cell conditioned media and grew to intact microvessels in 10 days of culturing. Produced microvessels show a typical BBB phenotype including endothelial protein expression, tight-junctions and polarized localization of efflux transporter. Microvessels exhibited physiological relevant trans-endothelial electrical resistance (TEER), were leak-tight for 10 kDa dextran-Alexa 647 and strongly limited the permeability of sodium fluorescein (NaF). Permeability tests with reference compounds confirmed the suitability of our model as platform to identify potential BBB penetrating anti-inflammatory drugs. In summary, the here presented brain microvessel platform recapitulates physiological properties and allows rapid screening of BBB permeable anti-inflammatory compounds that has been suggested as promising substances to cure so far untreatable neurodegenerative diseases.

cell biology↗

Highly efficient intercellular spreading of protein misfolding mediated by viral ligand - receptor interactions

Pathological protein aggregates associated with neurodegenerative diseases have the ability to transmit to unaffected cells, thereby templating their own aberrant conformation onto soluble proteins of the same kind. Proteopathic seeds can be released into the extracellular space, secreted in association with extracellular vesicles (EV) or exchanged by direct cell-to-cell contact. The extent to which each of these pathways contributes to the prion-like spreading of protein misfolding is unclear. Exchange of cellular cargo by both direct cell-to-cell contact as well as via EV depends on receptor-ligand interactions and subsequent release of cargo into the cytosol. We hypothesized that enabling these interactions through viral ligands enhances the aggregate-inducing capacity of EV-associated proteopathic seeds. Using different cellular models propagating model prion-like protein aggregates, mouse-adapted prions or pathogenic Tau aggregates, we demonstrate that vesicular stomatitis virus glycoprotein and SARS-CoV-2 spike S increase protein aggregate induction by direct cell-to-cell contact or via viral glycoprotein-decorated EV. Thus, receptor-ligand interactions are major determinants of intercellular aggregate dissemination. Further, our data raise the intriguing possibility that acute or latent viral infections contribute to proteopathic seed spreading by facilitating intercellular cargo transfer. HIGHLIGHTSO_LIDifferent types of proteopathic seeds are secreted in association with extracellular vesicles C_LIO_LIReceptor-ligand interactions are important drivers of direct cell-to-cell and extracellular vesicle-mediated spreading of protein misfolding C_LIO_LIViral glycoproteins mediating attachment and membrane fusion strongly enhance aggregate inducing capacity in recipient cells C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=191 HEIGHT=200 SRC="FIGDIR/small/173070v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1735b86org.highwire.dtl.DTLVardef@7ddaf5org.highwire.dtl.DTLVardef@b222aborg.highwire.dtl.DTLVardef@1022dd6_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗