Hailey I. Edelstein

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 paper introduces a computational framework for designing mammalian genetic programs using genetic algorithms and dynamical systems models, demonstrating its ability to find optimal circuit designs and validate them experimentally.

The paper develops synthetic cytokine receptors by repurposing natural ectodomains to create orthogonal biosensors for targeted cellular responses.

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 study uses computational structure prediction to explore how structural features of engineered receptors relate to their functional performance.

The paper identifies transcription factors that maintain cell identity by analyzing their responsiveness to perturbations in human iPSC-derived cardiac myocytes and fibroblasts.

COMET provides a toolkit of transcription factors and promoters to design and tune gene expression in mammalian cells with customizable genetic programs.

This study improves synthetic receptor performance by showing that transmembrane domains significantly affect signaling through intracellular geometry, and proposes design principles for future receptors.