Eugenia F. Romantseva

The paper demonstrates a method to revive dead microbes by transplanting synthetic genomes, eliminating the need for antibiotic resistance markers in the process.

The paper introduces a measurement framework to characterize cell-free expression systems by analyzing transcription and translation dynamics using nucleic acid templates and Escherichia coli extracts.

This study uses cell-free systems to characterize RNA circuits for programmable protein expression, logic, and biosensing, revealing design principles applicable across different environments.

The paper presents two methods for precision engineering of genetic sensors using large-scale data and machine learning to achieve quantitative dose-response specifications.

Dose-response curves for 62 472 LacI coding sequences train a recurrent network for EC50 and G∞, enable EC50 targeting within 1.25-fold, and reveal band-stop sensors.