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Rühl, H.

Publications and source records attributed to Rühl, H..

5 recordsLinked to original sources

Engineered endothelial cell grafts form functional anastomoses and enable recruitment of intravenously delivered human T cells in CAM tumor models

The development of cancer immunotherapies requires preclinical models that capture intravenous delivery, immune cell recruitment and intratumoral T cell activation. Conventional 3D in vitro systems lack perfused vascular networks, whereas mouse models are limited by throughput. The chick chorioallantoic membrane (CAM) assay enables rapid growth of vascularized tumors derived from human cancer cells in ovo, but its application to human T cell-based immunotherapy testing is constrained by CAM-derived vascularization and species-specific barriers between human immune cells and avian endothelium. Here, we establish an endothelial graft-enhanced CAM tumor model that incorporates an immortalized murine endothelial cell line capable of anastomosing with the chick vasculature. This generates a perfused and branched mammalian vascular interface within human tumor xenografts growing on the CAM. Human ICAM-1 expression on the grafted endothelial cells further enhances recruitment of intravenously delivered human T cells into CAM tumors. Using this platform, we demonstrate target-dependent intratumoral T cell activation by bispecific T cell engagers (TCEs) across tumor models, including evaluation of the clinically approved DLL3-targeting TCE tarlatamab in small cell lung cancer models.

bioengineering↗

Evolutionary algorithms accelerate de novo design of potent Nectin-4-specific cancer biologics

Recent advances in AI-based structural biology have made de novo protein binder design increasingly effective, yet performance remains highly target dependent. For instance, the cancer surface antigen Nectin-4, an immunoglobulin-like cell adhesion protein, proved particularly challenging for RFdiffusion-based minibinder generation, yielding substantially fewer high-quality candidates than related targets. To address this bottleneck, we integrated an evolutionary genetic algorithm (GA) with AI-driven design. GA selection with tunable stringency was coupled with diversification via partial diffusion or direct sequence editing, enabling efficient exploration of sequence-structure space and rapid enrichment of promising candidates. This AI-GA pipeline quickly produced large and diverse minibinder panels with very good in silico quality metrics and is compatible with inputs from multiple design algorithms. Pooled, large-scale experimental screening identified highly stable Nectin-4 minibinders with single-digit nanomolar down to subnanomolar affinities. Lead binders were further engineered into Nectin-4-specific flow cytometry detection reagents and potent bispecific T cell engagers, demonstrating functional activity beyond binding. Together, these results show that evolutionary refinement can unlock challenging targets and accelerate de novo protein design for next-generation cancer biologics.

bioengineering↗

Development of AI-designed protein binders for detection and targeting of cancer cell surface proteins

Artificial intelligence (AI)-based protein design opens new avenues for the rapid generation of new research tools and therapeutics, but experimental validation lags behind the computational design throughput. Here, we present a scalable workflow for the discovery and validation of AI-designed protein binders. Leveraging the RFdiffusion protein design pipeline with a custom filter for stable alpha-helical bundle folds, we construct libraries of thousands of AI-binders against cancer-associated surface proteins. Mammalian cell-surface and phage display screening yield multiple high-affinity PD-L1 binders but fewer hits for CD276 (B7-H3) and VTCN1 (B7-H4), reflecting the target-dependent efficiency of RFdiffusion in generating high-quality designs. Using our experimentally validated AI-designed binder libraries, we benchmark freely available structure prediction models. We find that interface predicted template modelling (ipTM) scores by Chai-1 with ESM embedding correlate well with experimental success and even predict deleterious effects of binding interface mutations. To demonstrate the versatility of AI-binders as research tools, we deploy them in CAR-T cells and also assemble them with fluorophore-labeled streptavidin into tetravalent quattrobinders, which achieve antibody-comparable staining of endogenous PD-L1 by flow cytometry. With high production yields and accessible structural models, AI-designed quattrobinders are versatile and cost-effective research tools amenable to community-driven validation and optimization.

bioengineering↗

NKG7 is a stable marker of cytotoxicity across immune contexts and within the tumor microenvironment

Cytotoxicity is a cornerstone of immune defense, critical for combating tumors and infections. This process relies on the coordinated action of granzymes and pore-forming proteins, with Granzyme B (GZMB) and Perforin (PRF1) being key markers and the most widely studied molecules pertaining to cytotoxicity. However, other human granzymes and cytotoxic components remain underexplored, despite growing evidence of their distinct, context-dependent roles. Natural Killer Cell Granule Protein 7 (NKG7) has recently emerged as a crucial cytotoxicity regulator, yet its expression patterns and function are poorly understood. Using large publicly available single-cell RNA sequencing atlases, we performed a comprehensive profiling of cytotoxicity across immune subsets and tissues. Our analysis highlights NKG7 expression as a strong marker of cytotoxicity, exhibiting a strong correlation with overall cytotoxic activity (r = 0.97) and surpassing traditional markers such as Granzyme B and Perforin in reliability. Furthermore, NKG7 expression is notably consistent across diverse immune subsets and tissues, reinforcing its versatility and robustness as a cytotoxicity marker. These findings position NKG7 as an invaluable tool for evaluating immune responses and a reliable indicator of cytotoxic functionality across biological and clinical contexts.

immunology↗

Coagulation activation-induced fibrinolysis biomarker changes depend on thrombophilic risk factors and their clinical phenotype: an interventional in vivo study

BackgroundRecently we have shown alterations in the anticoagulant response to recombinant activated factor VII (rFVIIa)-induced coagulation activation in patients with thrombophilia. ObjectivesHere we extended this in vivo model to study fibrinolysis biomarkers. MethodsThe study population included 56 patients with thrombophilia and a history of venous thromboembolism (VTE+), 38 asymptomatic patients with thrombophilia (VTE-) and 35 healthy controls. Plasma levels of D-dimer, plasmin-2-antiplasmin complex (PAP), and plasminogen activator inhibitor-1 (PAI-1) were monitored over 8 hours after rFVIIa infusion (15 {micro}g/kg) along with thrombin activation markers and activated protein C (APC). ResultsIn all cohorts, PAP increased (P<3.9{middle dot}10-10) and PAI-1 decreased (P<3.5{middle dot}10-8). In contrast to thrombin-antithrombin complex (TAT), which also increased temporarily in all cohorts (P<3.6{middle dot}10-6), changes of PAP and PAI-1 did not reverse during the observation period. The area under the curve (AUC) of PAP (respectively TAT), as measure of plasmin (respectively thrombin) formation, was greater in the VTE+ cohort than in healthy controls (PAP AUC P=0.003, TAT AUC P=2.5{middle dot}10-4) and showed correlation (r=0.554). As evidenced by the respective AUCs, asymptomatic factor V Leiden (FVL) carriers in the VTE-cohort showed less PAP formation (P=9{middle dot}10-4), more pronounced PAI-1 decline (P=0.010), and increased APC formation (P=0.020) than those within the VTE+ group (n=19 each). This was not observed in prothrombin 20210G>A carriers or patients with unexplained familial thrombophilia. ConclusionrFVIIa-induced thrombin formation is associated with fibrinolysis parameter changes outlasting the concomitant anticoagulant response. Both correlate with thrombosis history in FVL and might help to explain its variable clinical expressivity. EssentialsO_LIImpairment of fibrinolysis might result in increased risk of thrombosis. C_LIO_LIWe studied fibrinolytic biomarkers after coagulation activation by recombinant factor VIIa. C_LIO_LIHereby induced alterations in fibrinolytic biomarkers outlast concomitant anticoagulant changes. C_LIO_LIFactor V Leiden carriers with or without thrombosis showed distinct fibrinolytic changes. C_LI

pathology↗