bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.06.11.658408

Engineered AAV9 as in vivo gene delivery platform for the selective transduction of TME cell subsets

Abstract

Precise in vivo gene delivery to specific cell types remains a significant challenge in gene therapy, particularly for cancer immunotherapy applications. Here, we rationally engineered AAV9 to become a modular, receptor-targeted vector for selective in vivo gene delivery. We first identified the N272A and W503A mutations as effective in ablating the native tropism of AAV9. Subsequently, designed ankyrin repeat proteins (DARPins) were inserted into the GH2/3 capsid loop, redirecting vector specificity towards defined cellular receptors without compromising capsid integrity or yield. As a proof of concept, HER2-targeted DART-AAV9 vectors demonstrated highly selective transduction of HER2-positive tumor cells in vitro and in vivo, in both, subcutaneous and orthotopic glioblastoma models, with negligible transduction of off-target organs including liver, heart, and kidney. When equipped with immunomodulatory genes (anti-PD-1 or IL-2) HER2-DART-AAV9 mediated secretion of functional therapeutic proteins from transduced tumor cells. Additionally, our modular platform facilitated rapid generation of CD8-targeted DART-AAV9 vectors, enabling selective transduction of human CD8+ T cells. Importantly, the engineered vectors exhibited favorable resistance to neutralization by human serum and retained their specificity and potency in human blood, underscoring their potential for clinical translation. Together, these findings establish DART-AAV9 as a versatile, precise, and clinically promising gene delivery platform for cancer immunotherapy.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Demircan, M. B., Strassheimer, F., Zinser, L. J., Elleringmann, P., John, F., Thalheimer, F. B., Steinbach, J. P., Oellerich, T., Burger, M. C., Buchholz, C. J.. 2025-06-14. Engineered AAV9 as in vivo gene delivery platform for the selective transduction of TME cell subsets. https://doi.org/10.1101/2025.06.11.658408

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Dynamic Compression Platform for Live Imaging of Scaffold-Transmitted Cellular Mechanoresponses

Mechanical characterization of biomaterial scaffolds is essential to evaluate their capacity to meet the functional demands of target tissues in tissue engineering and regenerative medicine applications. Scaffolds designed to interface with living tissues must support the transmission of mechanical cues to resident cells and stimulate mechanosignaling pathways that are essential to their function. In joints, bone and cartilage cells act as primary mechanosensors, converting mechanical stimuli into biochemical signals that regulate tissue homeostasis and remodelling. Therefore, evaluating cellular mechanoresponses to scaffold-transmitted compression in vitro can inform the development of functional tissue-engineered constructs. For example, poly({epsilon}-caprolactone) (PCL) scaffolds are highly relevant for bone and cartilage tissue engineering due to their biocompatibility, stable mechanical properties and slow degradation. Here, we applied a custom-built device to study compression-induced mechanosignaling in MC3T3-E1 pre-osteoblast cells. The device is composed of a polydimethylsiloxane (PDMS) pillar, a force-sensing load cell, and a piezoelectric linear track. A protocol is described in which MC3T3-E1 cells are repeatedly compressed, while in parallel live tracking of force measurements and live imaging of intracellular calcium dynamics in MC3T3-E1 cells are recorded. PCL scaffolds fabricated by melt electrowriting (MEW) were subsequently integrated into the platform. Scaffold-transmitted compression triggered dynamic increases in cytosolic calcium; in MC3T3-E1 cells located directly under the PCL microfibers, but also in cells located in the interfiber spaces. This device and workflow facilitate in vitro investigations of real-time cellular mechanoresponses to dynamic compression applied with biomaterial scaffolds, and provides a testing platform for evaluating the mechanotransductive properties of scaffolds intended for tissue engineering applications.

bioengineering↗

Ultrasound Tracking Reveals Progressive Regional Strain Differences in Human Achilles Tendons During Fatigue Loading

Ultrasound is commonly used to assess structural changes in symptomatic Achilles tendons, but quantitative biomechanical metrics for progressive tendon deterioration remain limited. The goal of this study was to develop and validate an automated ultrasound tracking algorithm for regional tendon deformation and evaluate strain progression in survived and ruptured tendons during fatigue loading. We hypothesized that maximum strain, average strain, and strain heterogeneity would exhibit different trajectories between groups. Ten cadaveric Achilles tendons underwent cyclic loading with stress tests every 500 cycles until rupture or 150,000 cycles. Ultrasound images acquired during stress tests were analyzed using an automated tracking algorithm to generate spatially resolved regional strain fields. Ultrasound-derived bulk strain was highly correlated with actuator-derived strain in survived (R^2 = 0.968 +/- 0.017) and ruptured tendons (R^2 = 0.972 +/- 0.014). Maximum and average longitudinal strains progressively diverged between groups across fatigue life (Group x FatigueLife: p = 0.003 and p < 0.0001, respectively). During the first 10,000 cycles, average strain decreased in survived tendons ({beta} = -0.0268%, p = 0.0215) but not ruptured tendons ({beta} = 0.0147%, p = 0.1197), with a significant Group x Cycle interaction (p = 0.0061). This study demonstrates that the algorithm quantified Achilles tendon deformation with high fidelity and enabled spatially resolved strain assessment throughout fatigue loading. Maximum and average strain followed different trajectories between groups, whereas strain heterogeneity did not. Early differences in tendon biomechanics suggest that regional strain behavior may change before pronounced differences in absolute magnitude develop.

bioengineering↗

Brain organoid computing for robotic decision-making

Biomimicry has inspired the evolution of robotics toward greater autonomy, adaptability, and symbiosis with humans and dynamic environments. However, current robotic systems still face major challenges in recapitulating the high-efficiency decision-making capabilities of the human brain under complex and dynamic conditions. Here, we present Brainobot, a biohybrid robotic system that establishes a brain organoid controller as a high-level robotic decision-making layer for closed-loop embodiment. By leveraging brain organoid reservoir computing, Brainobot interacts with dynamic environments by receiving and processing sensory inputs and generating motor actions. As a proof-of-concept demonstration, Brainobot is implemented in a humanoid robotic system to perform real-world tasks, including object grasping and laser chasing. Interestingly, Brainobot exhibits unique features, including cross-task adaptivity, high computing efficiency, and low energy consumption. Thus, our approach may provide insights for advancing robotic embodiment and understanding biological decision-making.

bioengineering↗