D. Wodarz

Dynamically adjusted cell fate decisions and resilience to mutant invasion during steady state hematopoiesis revealed by an experimentally parameterized mathematical model

The paper uses an experimentally parameterized mathematical model to show how hematopoietic stem cells dynamically adjust and resist mutant invasion during steady state hematopoiesis.

Human immunodeficiency virus (HIV) dynamics in secondary lymphoid tissues and the evolution of cytotoxic T lymphocyte (CTL) escape mutants

This study uses mathematical models to show how HIV compartmentalization in secondary lymphoid tissues explains viral decline patterns and slow emergence of CTL escape mutants during chronic infection.

Mutant fixation in the presence of a natural enemy

This study investigates how infection affects mutant fixation probability in populations, finding that infection weakens selection and alters fixation probabilities for advantageous and disadvantageous mutants.

Deterministic approximation for population dynamics in the presence of advantageous mutants

The paper develops a deterministic approximation for spatial stochastic birth-death processes with two types, showing good agreement with stochastic simulations and applicability to selective sweep events.

Effect of human behavior on the evolution of viral strains during an epidemic

The paper models how human behavioral changes during an epidemic can drive the evolution of more asymptomatic viral strains.

The Myogenesis Program Drives Clonal Selection and Drug Resistance in Rhabdomyosarcoma

This study shows that targeting developmental states in rhabdomyosarcoma can prevent disease recurrence by eliminating myoblast-like cells and inhibiting EGFR-dependent paraxial mesoderm populations.

The role of migration in mutant evolution in fragmented populations

This study investigates how migration affects mutant distribution in fragmented populations, showing that migration alters probability distributions and can sustain mutant numbers in small demes.

The protective effect of aspirin in colorectal carcinogenesis: a multiscale computational study from mutant evolution to age incidence curves

This study uses mathematical models to show that aspirin-induced changes in tumor cell fitness can explain reduced colorectal adenoma incidence in treated patients.

A hybrid stochastic-deterministic approach to explore multiple infection and evolution in HIV

This paper introduces a hybrid stochastic-deterministic algorithm to simulate HIV mutant evolution, showing it can accurately model dynamics with reduced computational cost and reveal evolutionary outcomes not captured by deterministic models.

Quantifying the dynamics of viral recombination during free virus and cell-to-cell transmission in HIV-1 infection

This study quantifies how HIV-1 recombination dynamics differ between free virus and cell-to-cell transmission, finding faster recombination with cell-to-cell transmission due to increased infection multiplicity and co-transmission of viral strains.

Evolutionary dynamics of culturally transmitted, fertility-reducing traits

The paper models how reduced mortality can directly cause a decline in fertility through cultural transmission of low fertility traits, explaining demographic transitions in Western Europe.

Mutant evolution in spatially structured and fragmented populations

This study shows that mutant evolution in spatially structured populations depends on population fragmentation rather than spatial structure, with different scaling laws for mutant abundance based on fitness and dimensionality.

Effect of synaptic cell-to-cell transmission and recombination on the evolution of double mutants in HIV

This study investigates how synaptic and free-virus transmission modes affect the evolution of HIV double mutants using a stochastic agent-based model, finding that each mode influences mutant persistence and spread differently based on mutant fitness.

Determinants of stem cell enrichment in healthy tissues and tumors: implications for non-genetic drug resistance

This study uses mathematical models to analyze how feedback loops influence cancer stem cell fractions in tumors and healthy tissues, identifying conditions that promote or reduce stem cell enrichment.

Multiple infection of cells changes the dynamics of basic viral evolutionary processes

This paper uses computational models to show that multiple viral infections alter mutant dynamics, increasing short-term mutant presence but decreasing long-term fixation probability.

The role of telomere shortening in carcinogenesis: A hybrid stochastic-deterministic approach

The paper models the role of telomere shortening in cancer emergence using a hybrid stochastic-deterministic approach, finding that cell death rates and p53 mutant division capacity influence the likelihood of double mutations in telomere-induced instability.

Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation

This paper analyzes how cellular de-differentiation affects tissue and tumor dynamics in mathematical models with feedback regulation, finding it reduces mutant fixation probabilities.

Passenger mutations can accelerate tumor suppressor gene inactivation in cancer evolution

The paper shows passenger mutations can speed up tumor suppressor gene inactivation by reducing population fitness and increasing intermediate mutant fitness during cancer evolution.