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Muench, P.

Publications and source records attributed to Muench, P..

3 recordsLinked to original sources

E-cadherin maintains oral Langerhans cell barrier surveillance to preserve microbiota-dependent immune homeostasis

Langerhans cells (LC) are specialized antigen-presenting cells that form a dense immune surveillance network within the oral epithelium. There, they continuously interact with epithelial cells and the resident microbiota to maintain mucosal homeostasis. A defining feature of LC is their highly dendritic morphology, which enables efficient sampling of the environment at barrier surfaces. Although E-cadherin-mediated adhesion has been implicated in LC-epithelial cell interactions, its role in oral LC biology and periodontal immune homeostasis remains elusive. Here, we investigated the function of E-cadherin on oral LC using CD11c-specific E-cadherin-deficient (CD11c-EcadDEL) mice. Loss of E-cadherin profoundly altered LC morphology throughout the oral mucosa, resulting in reduced dendrite formation and impaired dendrite extension towards the epithelial surface, thereby disrupting interaction with the oral microbiota. While the total number of LC remained unchanged, E-cadherin deficiency significantly altered the relative distribution of LC subsets, characterized by reduced LC1 and increased LC2 populations. E-cadherin-deficiency was associated with pronounced oral dysbiosis, characterized by increased bacterial burden and microbial diversity, as well as a shift away from the commensal-dominated community, particularly through the loss of protective lactobacilli. Transcriptome analysis of gingival tissue revealed inflammatory reprogramming marked by enrichment of NF-{kappa}B, TNF, IL-17, Toll-like receptor, and MAPK signaling pathways. Consistently, CD11c-EcadDEL mice exhibited increased IL-17A production in the gingiva, expansion of {beta} and {gamma}{delta} T cells, spontaneous age-dependent alveolar bone loss, and exacerbated inflammatory bone destruction in a model of ligature-induced periodontitis. In summary, our findings reveal that E-cadherin preserves oral LC dendrite organization and microbiota-dependent immune homeostasis, thereby limiting dysbiosis-driven inflammation and periodontal bone loss.

immunology↗

A modular toolbox for the optogenetic deactivation of transcription

Light-controlled transcriptional activation is a commonly used optogenetic strategy that allows researchers to regulate gene expression with high spatiotemporal precision. The vast majority of existing tools are, however, limited to light-triggered induction of gene expression. Here, we inverted this mode of action and created two complementary optogenetic systems capable of efficiently terminating transcriptional activation in response to blue light. First, we designed highly compact regulators, by photo-controlling VP16 transactivation peptide exposure. Then, applying a two-hybrid strategy, we engineered LOOMINA (light off-operated modular inductor of transcriptional activation), a versatile transcriptional control platform for mammalian cells that is highly adaptable and compatible with various effector proteins. Leveraging the flexibility of CRISPR systems, we integrated LOOMINA with Cas9 as a DNA-binding domain to control transcription from various endogenous promoters with exceptionally high dynamic ranges in multiple cell lines, including neuron-like cells. Both functionally and mechanistically, LOOMINA represents a valuable addition to the optogenetic repertoire for transcriptional regulation.

synthetic biology↗

Evaluating assembly and variant calling software for strain-resolved analysis of large DNA-viruses

Infection with human cytomegalovirus (HCMV) can cause severe complications in immunocompromised individuals and congenitally infected children. Characterizing heterogeneous viral populations and their evolution by high-throughput sequencing of clinical specimens requires the accurate assembly of individual strains or sequence variants and suitable variant calling methods. However, the performance of most methods has not been assessed for populations composed of low divergent viral strains with large genomes, such as HCMV. In an extensive benchmarking study, we evaluated 15 assemblers and six variant callers on ten lab-generated benchmark data sets created with two different library preparation protocols, to identify best practices and challenges for analyzing such data. Most assemblers, especially metaSPAdes and IVA, performed well across a range of metrics in recovering abundant strains. However, only one, Savage, recovered low abundant strains and in a highly fragmented manner. Two variant callers, LoFreq and VarScan2, excelled across all strain abundances. Both shared a large fraction of false positive (FP) variant calls, which were strongly enriched in T to G changes in a "G.G" context. The magnitude of this context-dependent systematic error is linked to the experimental protocol. We provide all benchmarking data, results and the entire benchmarking workflow named QuasiModo, Quasispecies Metric determination on omics, under the GNU General Public License v3.0 (https://github.com/hzi-bifo/Quasimodo), to enable full reproducibility and further benchmarking on these and other data.

bioinformatics↗