Gábor Balázsi

This paper develops MONARCH gene circuits to optimize CRISPR-Cas13d for tunable RNA downregulation with minimal off-target effects in human and green monkey cells.

The paper identifies transcriptional drift in aging C. elegans worms, showing upregulated sensory proteins and downregulated growth/metabolism genes, and proposes a mechanistic model involving ligand binding.

The paper shows that bursty gene expression maximizes mutual information and reduces entropy in gene networks, suggesting it enhances reliability of communication in gene regulatory systems.

The paper tests if yeast populations can regain lost function in a synthetic gene circuit by exposing mutants to drug and inducer, revealing adaptation scenarios with or without restoring the circuit's function.

The paper develops optogenetic circuits with negative feedback to reduce gene expression noise and control gene activity in mammalian cells.

The paper investigates how heating and cooling affect gene network function in yeast, finding nonmonotone expression trends and temperature-induced bimodality in synthetic circuits.

This study uses mathematical models and experiments to show that a mutation in a regulator gene can lead to a permanent decrease in population fitness due to interactions with gene regulatory network dynamics.