Timothy C. Elston

A three-factor model can explain symmetry breaking and the n-1 rule during X-chromosome inactivation

This paper introduces a three-factor mathematical model to explain symmetry breaking and the n-1 rule in X-chromosome inactivation by integrating Xist, an X-linked activator, and SPEN.

Transcriptomic profiling of mouse mammary tumors enables prognostic and predictive biomarker discovery for human breast cancers

This paper uses mouse mammary tumor data to train machine learning models predicting human breast cancer survival and treatment response.

A phase oscillator model of cell cycles reveals nuclear density control in a branched fungal network

The paper models nuclear division in a branching fungal network to show that asynchronous cycles and density-responsive branching stabilize nuclear density.

Quantitative analysis of fibroblast migration reveals migratory states characterized by force generation, cell shape and motion

The paper quantifies fibroblast migration by analyzing force generation, cell shape, and motion, identifying discrete migratory states that are influenced by cytoskeletal organization.

RhoG, Rac1 and Cdc42 cooperation in cell protrusion revealed bymultiplexed optogenetics and biosensor imaging

This study uses optogenetics and biosensor imaging to show RhoG activates Rac1 and Cdc42 in cell protrusion, with RhoG's effects on protrusion partially mediated by Rac1 and some independent of it.

Coupling mathematical modeling with a novel human intestinal stem cell system to understand feedback regulation during planar cell polarity

The paper develops a mathematical model of the PCP complex and validates its predictions using a human intestinal stem cell system to study feedback regulation during planar cell polarity.

Ratiometric signaling produces robust temporal integration for accurate cellular gradient sensing

This study shows ratiometric signaling allows cells to integrate temporal receptor activity for accurate gradient sensing despite noise.

Negative feedback equalizes polarity sites in a multi-budding yeast

The paper identifies Pak1 as a key protein mediating negative feedback in yeast to enable multiple polarity sites and budding.

Particle-based simulations reveal two positive feedback loops allow relocation and stabilization of the polarity site during yeast mating

Spatial Models of Pattern Formation During Phagocytosis

The paper uses reaction-diffusion models to explain rosette pattern formation during frustrated phagocytosis, identifying two mechanisms involving intermediate species and spatial gradients.

A novel stochastic simulation approach enables exploration of mechanisms for regulating polarity site movement

The paper introduces a novel stochastic simulation approach to study how molecular noise regulates polarity cluster movement in yeast cells, finding that cluster mobility depends on molecular distribution and dynamics rather than total abundance.

A predictive model of gene expression reveals the role of regulatory motifs in the mating response of yeast

The paper develops a predictive model of gene expression in yeast to understand how regulatory motifs coordinate the mating response to dynamic and persistent stimuli.

Molecular switch architecture drives response properties

The paper uses mathematical modeling to compare how different mechanisms of molecular switch activation affect signaling pathway response properties.

Model-driven experimental design identifies counter-acting feedback regulation in the osmotic stress response of yeast

The paper uses mathematical models to identify positive feedback regulation between Hog1 and its phosphatases in yeast osmotic stress response.