Guest Seminar - Innovation by Evolution: Engineering Next-Generation of Adeno-Associated Viral Vectors for Gene Therapeutics

10:30am - 12:00pm
ONLINE VIA ZOOM

Gene therapy, the delivery of genetic material to the cells of a patient for therapeutic benefit, has been increasingly successful over the past decade. The most successful gene delivery vectors are based on adeno-associated viruses (AAV), a naturally derived protein-based and self-assembled ‘nanoparticle’. Although these natural ‘nanoparticles’ are safe and non-pathogenic, they present several barriers that limit their efficacy in delivery as they were not evolved by nature for human therapeutic applications. Directed evolution, a strategy involves the iterative genetic diversification of a molecule to create a gene pool and functional selection to isolate variants with optimal properties, has thereby emerged as a powerful approach for re-evolving AAVs of novel and improved functions. In parallel, recent advances in deep sequencing technologies allow millions of sequences to be assayed and used for training supervised machine learning (ML) models for prediction of protein properties. Using the combination of directed evolution and MLguided design, we have engineered ‘designer’ AAV variants with greatly improved packaging, diversity, and primary human brain infection capabilities. Specifically, we have applied such method for developing AAVs that target a crucial cellular component of the central nervous system (CNS), microglia. As a brain-resident macrophage, microglia unfortunately have been implicated in many neurological diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and others etc. Therefore, genetically manipulating endogenous microglia is a promising therapeutic approach to counteract disease pathology. The extension of such integration of new technologies will have broad utility in the development of next generation novel AAVs for therapeutic applications of many neurological diseases in the near future

讲者/ 表演者:
Prof. Danqing Bonnie ZHU
University of California, Berkeley

Danqing (Bonnie) Zhu is currently a California Institute for Regenerative Medicine (CIRM) Postdoctoral Fellow in the laboratory of Prof. David Schaffer at University of California, Berkeley, working on the development of machine-learning guided approach to design novel viral vectors for therapeutic applications. She completed her B.S in Engineering Sciences (Biomedical Engineering & Materials Science Engineering) at University of Virginia, working with Prof. Edward Botchwey on nanofiber fabrication techniques for drug delivery. Bonnie completed her Ph.D. in Bioengineering at Stanford University, working with Prof. Fan Yang and Prof. Sarah Heilshorn to design novel biomaterials for stem cell delivery and tissue regeneration. Her research employs materials chemistry, protein engineering, and stem cell biology approaches to develop in vitro models of tissue development that capture the dynamic complexity of native cell-extracellular matrix interactions. Her current and future work focuses on using high-throughput protein engineering and computational approaches to engineer safe, targeted and improved therapeutic gene delivery vectors for treatment of neurological diseases. She currently has two U.S. provisional patents and her works have been published in journals including Advanced Functional Materials, Biomaterials, Tissue Engineering, ACS Biomaterials Science & Engineering, Journal of Biomedical Materials Research Part A, Frontiers in Cellular Neuroscience, and Trends in Molecular Medicine.

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Zoom ID: 91206959478 Passcode: 923389

主办单位
Department of Chemical & Biological Engineering
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