Juraj Szavits-Nossan

The paper derives an exact steady-state solution for the joint distribution of nuclear and cytoplasmic mRNA levels and uses it to quantify bursty gene expression in human cells.

The paper shows that power-law behavior in mRNA counts after induction can estimate the number of regulatory steps in gene expression.

The paper develops a mean-field theory to model mRNA copy number distributions across its life cycle and shows it accurately predicts steady-state distributions across various conditions.

The paper develops a method to infer translation elongation kinetics from ribosome profiling data and finds ribosomal collisions occur at many sites along mRNAs in yeast.