Feng Liu

The paper shows that mRNA concentration-dependent translation allows Drosophila embryos to create sharp protein patterns despite limited resources.

The paper investigates the trade-off between upstream and downstream noise in signaling networks, showing that longer timescales buffer upstream noise but accumulate downstream noise, confirmed in biological systems.

The paper shows that scaling constraints shape the decoder structure in the Drosophila gap gene system, explaining mutants behavior and gene regulation without molecular details.

The paper studies collective nuclear behavior in Drosophila embryos and identifies an attractive internuclear force that drives damped standing waves and maintains non-uniform nuclear density.

The paper quantifies temperature compensation of the Bicoid gradient in fly embryos using a microfluidic device and mathematical modeling, showing stronger compensation in later developmental stages.

The paper quantifies dynamic 3D gene expression in Drosophila embryos and shows that stau- mutants exhibit comparable variability in Hb boundary position to wild type, with a posterior shift in nc14.

This paper uses a deep neural network to infer gene regulation networks from gene expression dynamics, demonstrating its ability to predict mutant behaviors and uncover regulatory mechanisms.