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Buchholz, M.

Publications and source records attributed to Buchholz, M..

6 recordsLinked to original sources

Heparan sulfate-function is essential for Integrin-dependent cell-matrix interactions and regulates glycosaminoglycan synthesis synthesis through YAP

Extracellular matrix (ECM) is the main component of cartilage, making it an ideal environment to study cell-matrix interactions. Among ECM constituents, heparan sulfate (HS)-carrying proteoglycans (PGs) are of particular interest since they are not only structural components but are also involved in cell matrix adhesion and signalling processes. We previously demonstrated that transgenic mice with a clonal loss of HS synthesis in chondrocytes (Col2-rtTA-Cre;Ext1e2fl/e2fl) develop clusters of enlarged cells in the articular cartilage (AC), which are surrounded by a glycosaminoglycan (GAG)-rich ECM. This led to the questions how HS regulate the molecular composition and mechanical properties of the ECM, how they sense alterations in the HS structure and how they respond to it. We stained tissue sections of Col2-rtTA-Cre;Ext1e2fl/e2f animals and detected increased levels of chondroitin sulfate (CS), Aggrecan (Acan), Perlecan (Pcan), Matrilin (Matn)-3 and-4, Collagen type II (Col2) and Col9, while Col12 was abolished in the HS-deficient clusters. We assessed the stiffness of the mutant matrix by Atomic Force Microscopy (AFM) and found that it was markedly softer than the surrounding, HS-containing tissue. Likely in response to this altered texture, HS-deficient clones showed increased protein levels of Integrin pathway components. To model a loss of HS-function in vitro, we treated murine embryonic fibroblasts (MEFs) with the HS-antagonist Surfen. Treatment during cell adhesion resulted in impaired cell-substrate adhesion, increased formation of filopodia-like membrane protrusions, decreased cell polarisation and migration, reduced formation of FA and SF, and a translocation of YAP into the cytoplasm. Similarly, we observed reduced cell polarisation in HS-deficient CHO pgsD-667 cells, which could not be rescued by external presentation of HS. When MEFs were treated with Surfen after the completion of the initial cell adhesion process, inhibition of HS-function led to an increased formation of FA and SF, in line with the increased levels of Integrin pathway components observed in HS-deficient chondrocytes in vivo. We detected high levels of Yes1-associated protein (YAP) in the HS-deficient clusters, and we investigated the effect of YAP modulation on high density micromass cultures from primary murine chondroprogenitors. YAP activation induced an increased GAG synthesis similar to Surfen, while YAP inactivation partially abolished the effect of Surfen, showing that YAP acts downstream of HS function and controls GAG synthesis. Taken together, we demonstrated that HS-function is essential for Integrin-dependent cell-matrix interactions. Information on the impaired cell matrix adhesion upon loss of HS is conveyed into the nucleus via YAP, which at least partially controls the synthesis of GAGs in chondrocytes.

cell biology↗

Effect of a bacterial Glutaminyl Cyclase inhibitor on multi-species-biofilms

Modifying bacterial virulence could be an interesting alternative to antibiotics. The study aimed to examine the effects of an inhibitor targeting bacterial glutaminyl cyclase (which is selectively present in Porphyromonas gingivalis (Pg), Tannerella forsythia (Tf), and Prevotella intermedia (Pi)) on various multispecies biofilms. Two multi-species biofilms--one containing four species (including Tf) and another with 12 species (including Tf, Pg, and Pi)--were cultured in the presence of 31.25-500 {micro}M of a [4,5-c]pyridine-based inhibitor. After 24 hours, bacterial counts, biofilm mass, metabolic activity, and, when Pg was included, Arg-gingipain activity were measured. Additionally, the biofilms were exposed to monocytic cells; here, the release of interleukin (IL)-1{beta} and IL-10 was analyzed. The data were analyzed using a one-way analysis of variance (ANOVA) with a post-hoc comparison performed using the Bonferroni correction. In all biofilms, total bacterial counts and those of Pg and Tf remained unaffected by the inhibitor. In the 12-species biofilm, both mass" and total metabolic activity decreased at high inhibitor concentrations (500 {micro}M to 75.2{+/-}6.5% and 87.2{+/-}5.8%, respectively; each p<0.001). The arginine-specific amidolytic activities of Rgp declined dose-dependently, down to 60.4{+/-}10.2% (p<0.001) at 500 {micro}M of the inhibitor. Consequently, Pg colonies lost pigmentation as inhibitor concentrations increased. The inhibitor also reduced IL-1{beta} release from monocytic cells stimulated by the 12-species biofilm. The studied [4,5-c]pyridine-based inhibitor is able to modify virulence of a multispecies biofilm. It might have the potential to be a promising approach in periodontal prevention and therapy.

microbiology↗

Novel small molecule targeting PgQC reduces Porphyromonas gingivalis virulence

Periodontitis, a chronic inflammatory disease affecting the periodontium, is primarily driven by dysbiotic of the oral microbiome with Porphyromonas gingivalis as a keystone pathogen. Current therapeutic approaches rely on mechanical debridement and antimicrobials, which face limitations including antibiotic resistance and microbiome disruption. Pathoblockers represent a novel therapeutic strategy that selectively targets virulence factors without bactericidal effects, potentially reducing resistance development while preserving beneficial microbiota. Here, we describe the characterization of S-0636, a novel reversible inhibitor of zinc-dependent glutaminyl cyclase (PgQC), as a compound to selectively suppress growth of P. gingivalis. The compounds effects was assessed through enzymatic assays, bacterial growth studies, virulence factor activity measurements (gingipain activity, hemagglutination, keratinocyte invasion), selectivity testing against commensal oral bacteria, resistance development analysis over 50 passages, and cytotoxicity evaluation in human cell lines. S-0636 demonstrated potent PgQC inhibition with a Ki value of 0.014 M and has successfully reduced the intracellular PgQC activity by 50% at 8 M and had no bactericidal effects. Treatment of P. gingivalis with S-0636 significantly decreased gingipain activity, impaired hemagglutination capacity, and reduced keratinocyte invasion by 76% at 62.5 M. The compound showed high selectivity, with no growth inhibition of ten tested oral commensal species at concentrations up to 0.25 mM. Importantly, no resistance development was observed after 50 bacterial passages, and cytotoxicity remained minimal in human cell lines with >80% viability at 0.5 mM. In previous studies, PgQC was suggested as an enzyme responsible for pGlu-modification and stabilization of bacterial virulence factors. The current study now validates PgQC as an attractive target for pathoblocker development, demonstrating that S-0636 effectively attenuates P. gingivalis pathogenicity through selective virulence factor inhibition while preserving bacterial viability and oral microbiome integrity. The absence of resistance development and low cytotoxicity profile support the potential clinical translation of this approach for periodontal disease management, representing a promising alternative to conventional antimicrobial therapies.

microbiology↗

SAMD1 suppresses epithelial-mesenchymal transition (EMT) pathways in pancreatic ductal adenocarcinoma

SAMD1 (SAM-domain containing protein 1), a CpG island-binding protein, plays a pivotal role in the repression of its target genes. Despite its significant correlation with outcomes in various tumor types, the role of SAMD1 in cancer has remained largely unexplored. In this study we focused on pancreatic ductal adenocarcinoma (PDAC) and revealed that SAMD1 acts as a repressor of genes associated with epithelial-mesenchymal transition (EMT). Upon deletion of SAMD1 in PDAC cells, we observed significantly increased migration rates. SAMD1 exerts its effects by binding to specific genomic targets, including CDH2, encoding N-cadherin, which emerged as a driver of enhanced migration upon SAMD1 knockout. Furthermore, we discovered the FBXO11-containing E3 ubiquitin ligase complex as an interactor of SAMD1. FBXO11 ubiquitinates SAMD1 within its DNA-binding winged helix domain and inhibits SAMD1 chromatin binding genome-wide. High FBXO11 expression in PDAC is associated with poor prognosis and increased expression of EMT-related genes, underlining an antagonistic relationship between SAMD1 and FBXO11. In summary, our findings provide new insights into the regulation of EMT-related genes in PDAC, shedding light on the intricate role of SAMD1 and its interplay with FBXO11 in this cancer type.

molecular biology↗

IRF4 deficiency vulnerates B cell progeny for leukemogenesis via somatically acquired Jak3 mutations conferring IL-7 hypersensitivity

The processes leading from disturbed B cell development to adult B cell progenitor acute lymphoblastic leukemia (BCP-ALL) are poorly understood. Here, we describe Irf4-/- mice as prone to developing BCP-ALL with age. Irf4-/- preB-I cells exhibited impaired differentiation but enhanced proliferation in response to IL-7, along with reduced retention in the IL-7 providing bone marrow niche due to decreased CXCL12 responsiveness. Thus selected, preB-I cells acquired Jak3 mutations, probably following irregular AID activity, resulting in malignant transformation. We demonstrate heightened IL-7 sensitivity due to Jak3 mutants, devise a model to explain it and describe structural and functional similarities to Jak2 mutations often occurring in human Ph-like ALL. Finally, targeting JAK signaling with Ruxolitinib in vivo prolonged survival of mice bearing established Irf4-/- leukemia. Intriguingly, organ infiltration including leukemic meningeosis was selectively reduced without affecting blood blast counts. In this work, we present spontaneous leukemogenesis following IRF4 deficiency with potential implications for high-risk BCP-ALL in adult humans.

cancer biology↗

Identification of biological mechanisms by semantic classifier systems

The interpretability of a classification model is one of its most essential characteristics. It allows for the generation of new hypotheses on the molecular background of a disease. However, it is questionable if more complex molecular regulations can be reconstructed from such limited sets of data. To bridge the gap between complexity and interpretability, we replace the de novo reconstruction of these processes by a hybrid classification approach partially based on existing domain knowledge. Using semantic building blocks that reflect real biological processes these models were able to construct hypotheses on the underlying genetic configuration of the analysed phenotypes. As in the building process, also these hypotheses are composed of high-level biology-based terms. The semantic information we utilise from gene ontology is a vocabulary which comprises the essential processes or components of a biological system. The constructed semantic multi-classifier system consists of expert base classifiers which each select the most suitable term for characterising their assigned problems. Our experiments conducted on datasets of three distinct research fields revealed terms with well-known associations to the analysed context. Furthermore, some of the chosen terms do not seem to be obviously related to the issue and thus lead to new, hypotheses to pursue.\n\nAuthor summaryData mining strategies are designed for an unbiased de novo analysis of large sample collections and aim at the detection of frequent patterns or relationships. Later on, the gained information can be used to characterise diagnostically relevant classes and for providing hints to the underlying mechanisms which may cause a specific phenotype or disease. However, the practical use of data mining techniques can be restricted by the available resources and might not correctly reconstruct complex relationships such as signalling pathways.\n\nTo counteract this, we devised a semantic approach to the issue: a multi-classifier system which incorporates existing biological knowledge and returns interpretable models based on these high-level semantic terms. As a novel feature, these models also allow for qualitative analysis and hypothesis generation on the molecular processes and their relationships leading to different phenotypes or diseases.

systems biology↗