Yaakov Benenson

This paper develops synthetic gene circuits that selectively target RAS-driven cancers by integrating multiple RAS sensors to enhance selectivity and therapeutic potential.

This study introduces peptide barcodes to measure multiple miRNA activities in parallel, validated by fluorescent reporters, and demonstrates robust profiling across three cell lines.

The paper develops synthetic gene circuits in human pluripotent stem cells that convert discrete cell states into analog signals by integrating miRNAs with miSFITs for controlled effector protein production.

The paper introduces DNA-based phenotypic recording to generate large-scale sequence-function datasets and uses deep learning to predict gene regulatory element function with high accuracy.