Xiaohu Song

The paper measures damage dynamics in individual E. coli cells under carbon starvation and finds that stochastic noise amplification, not initial conditions, drives lifespan variation, with increasing determinism over time.

The paper uses engineered E. coli to screen for Mtb inhibitors, identifying benazepril as an anti-mycobacterial drug with a novel mechanism.

The paper designs universal riboregulators using deep learning to predict RNA sequences that suppress CRISPR-Csy4-mediated pre-crRNA processing.

This paper introduces TEARS, synthetic microdomains in E. coli that enable spatial control of biochemical processes through phase-separated RNA structures.

The paper introduces Seq2DFunc, a 2D CNN for predicting nucleic acid sequence functions from synthetic data, showing improved performance over 1D CNNs with smaller datasets.

The paper shows that senescence in Escherichia coli is shaped by two stochastic processes: random cellular deterioration and asymmetric transmission of an unknown factor during cell division.