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Heidings, J. B.

Publications and source records attributed to Heidings, J. B..

2 recordsLinked to original sources

AAV2 Crosslinks Actin Filaments: Implications for AAV Gene Therapy Vector Design

Adeno-associated virus (AAV) capsids are important gene therapy vectors, allowing for the one-time treatment of monogenetic disorders, with durable gene expression lasting for years. However, despite the clinical success of AAV usage, low transduction efficiencies require high dosage to achieve therapeutic efficacy, resulting in prohibitive costs and rare, but life-threatening immune responses. One key knowledge gap is how the capsids traffic to the nucleus following endocytosis. Here, we identify a direct interaction between AAV2 and actin filaments. Our results show that AAV2 bundles multiple actin filaments in a highly periodic hexagonal lattice. Therefore, we propose that AAV2 is the founding member of a new class of actin binding proteins, the actin bundling viruses (ABVs). Using cryogenic electron microscopy, we determined the structure of AAV2-actin filaments, identified the interaction interfaces, and engineered capsid variants that no longer bundle actin. Together, our results suggest that the AAV2-actin interaction may be responsible for trapping capsids and mediating peri-nuclear accumulation. Overall, this interaction expands the current understanding of AAV2 biology and offers new directions for capsid engineering.

biochemistry↗

TDAExplore: quantitative image analysis through topology-based machine learning

Machine learning has greatly expanded the ability to classify images. However, many machine learning classifiers require thousands of images for training and lack quantitative descriptors of how images were grouped. We overcome these limitations with a machine learning approach based on topological data analysis, where a data set of 20-30 images is sufficient to accurately train the classifier. Our method quantifies differences between groups and identifies subcellular regions with the largest dissimilarities.

cell biology↗