Jonathan D. Boucher

CELLISA is a cell-cell binding assay that accelerates discovery of EV targeting constructs by predicting cell-EV interactions through high-throughput screening of cell surface-displayed proteins.

The paper develops an assay to distinguish pseudotransduction from true transduction in EV-AAV vectors, revealing cell-type-specific effects of EV modifications on transduction efficiency.

This study enhances synthetic hypoxia biosensors by integrating natural hypoxia-responsive factors and feedback circuits to improve their performance and understanding of hypoxia regulation.

This paper presents a method for designing mammalian genetic programs using predictive models and modular genetic parts to achieve complex cellular functions.

This paper presents a computational method to optimize split protein systems by guiding the evaluation of mutants to find an optimal functional window.