Kirill Sechkar

This study designs, builds, and quantitatively characterizes synthetic sponge RNAs in E. coli, revealing their ability to tune gene expression and provide a quantitative framework for spRNA-mediated regulation.

This paper introduces a closed-loop control system to stabilize phage-bacteria coevolution, preventing extinction or dominance by one species.

This paper introduces engineered magneto-sensitive fluorescent proteins that enable quantum sensing in living cells through optically detected magnetic resonance.

This paper introduces a protocol for characterising genetic circuits using feedback control to predict their performance when combined with other components.

This paper introduces MiPS, a microfluidic platform for automated single-cell selection based on dynamic, multi-trait phenotypes using real-time imaging and optical targeting.

This paper designs a biomolecular controller to reduce mutation spread in engineered cell populations by linking mutant growth to circuit design parameters through resource-aware modeling.

The paper introduces a CRISPR-based regulatory architecture that combines positive and negative regulation to improve robustness and modularity in synthetic gene circuits by mitigating resource competition crosstalk.

The paper presents a coarse-grained E. coli cell model to analyze and design synthetic gene circuits by capturing resource couplings and growth regulation mechanisms.

This paper presents a linear programming strategy to reduce pipette tip usage in automated DNA assembly by optimizing liquid-handling robot paths.