Jie Lin

The paper develops a theory linking chromatin architecture to epigenetic memory stability and predicts compartment fusion over cell generations.

This study demonstrates interface-mediated secondary phase separation as a universal pathway for forming new phases in multicomponent solutions, using simulations and theoretical models.

The paper resolves a paradox in liquid-liquid phase separation by showing that macromolecules universally promote phase separation under dilute conditions, with predictable scaling behavior.

The paper uses spatial transcriptomics and single-nucleus RNA sequencing to analyze dorsoventral molecular organization in hippocampus and medial entorhinal cortex across five species, identifying conserved and species-specific patterns.

The paper identifies optimal scaling laws between mRNA and protein levels that maximize cell fitness, showing a universal lower bound of 0.5 for the scaling exponent across organisms.

This study investigates surface phase separation in confined spaces, identifying three wetting states and explaining droplet formation under specific conditions.

This study identifies three migration modes—gripping, slipping, and stick-slip—determined by substrate properties and actin polymerization speed, showing stiffness sensing occurs only in stick-slip mode.

This study investigates bacterial cell volume growth and finds subdiffusive random growth with an anomalous exponent of ~0.27, attributed to cell wall viscoelasticity.

The paper investigates the formation of hollow biomolecular condensates driven by gelation-induced spinodal decomposition using a phase-field model.

This paper introduces a model to explain the aging of biomolecular condensates by showing viscous elements convert to elastic ones, leading to solid-like states.

This study shows that optimal receptor distributions on cell surfaces maximize flux, aligning with charge density patterns on ideal conductors.

This study models biomolecular condensates as random crosslinked polymer solutions to show how random connectivity leads to anomalous scaling of dynamic moduli.

This study models cytoplasm as a colloidal suspension and shows that its viscosity is ultrasensitive to active noise, enabling efficient tuning via volume fraction regulation.

This study quantifies the fitness cost of gene expression by disentangling it into transcription and translation components using a resource competition model in yeast.

The paper investigates DNA-protein co-condensates, identifying two morphology transitions and growth dynamics governed by DNA-p53 interaction strength.

This study shows nonspecifically DNA-bound RNA polymerases in bacteria buffer free RNAP concentration, reducing crosstalk between rRNA and mRNA transcription, and are evolutionarily advantageous.

The paper develops a theory integrating physical constraints and biological regulations to explain universal osmoresponses in microorganisms, predicting growth thresholds and growth rate changes under osmotic stress.

The paper proposes a mechanistic model of mRNA buffering that couples transcription, exportation, and degradation, explaining constant mRNA concentrations under various perturbations.

This paper develops a theoretical framework for protein synthesis that explains the growth law, showing it is universal under similar environments but non-universal when environments differ significantly.

The paper shows that nonlinear scaling of gene expression with cell volume arises from heterogeneous promoter recruitment abilities to RNA polymerases, supported by analysis of yeast promoter sequences.

The paper develops a method to estimate intrinsic, extrinsic, and measurement noise in gene expression using time-resolved protein concentration data from single-cell bacterial experiments.