Arne Traulsen

Do higher-order moments improve inference of population dynamics?

This study shows that using a stochastic model to account for variability in microbial time-series data improves parameter inference compared to deterministic models.

Quantifying target antigen-dependent CAR T-cell performance against AML

The paper develops a mathematical model and Bayesian framework to evaluate CAR T-cell efficacy against AML, revealing antigen-specific resistance mechanisms.

Population structure amplifies mutation load

The paper shows that spatial structure amplifies mutation load, reducing the effectiveness of natural selection and promoting the proliferation of less-fit types in structured populations.

A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide

The paper quantifies phenotypic heterogeneity in glioblastoma cells' response to temozolomide, showing non-genetic factors drive differential drug response.

Reconciling ecology and evolutionary game theory or When not to think cooperation

This paper critiques the assumption in evolutionary game theory that all individuals have equal intrinsic growth rates, highlighting its limitations and suggesting a reconciliation with ecology.

A higher-order equivalence of Lotka-Volterra and replicator dynamics reveals tight connections between ecology and evolution

This paper shows that Lotka-Volterra and replicator dynamics are equivalent even with non-linearities, highlighting their connection in ecology and evolution.

Graph-structured populations elucidate the role of deleterious mutations in long-term evolution

The paper investigates how spatial structure affects evolutionary outcomes by identifying amplifier and suppressor graphs for mutant fixation and their impact on long-term fitness.

Integration of immune cell-target cell conjugate dynamics changes the time scale of immune control of cancer

This study shows that explicitly modeling immune cell-cancer cell conjugates in mathematical models changes the time scale and outcomes of tumor control dynamics.

Deficient cell-cell cohesion is linked with lobular localization in simplified models of lobular carcinoma in situ (LCIS)

The paper uses simplified models to show that loss of cell-cell cohesion in LCIS cells leads to lobular localization, linking cohesion to spatial patterns in breast cancer.

Stochastic population dynamics driven by mutant interactors

The paper models population dynamics with mutant interactors that alter interactions between residents and mutants, showing how these interactions affect population size and extinction risk.

Reproduction costs can drive the evolution of groups

This study shows that reproduction costs can drive the evolution of multicellular groups by altering optimal life cycles through fragmentation costs.

Ribosome reinitiation can explain length-dependent translation of messenger RNA

The paper models ribosome reinitiation on circularized mRNAs, showing it explains length-dependent translation and various translation features.

Modes of migration and multilevel selection in evolutionary multiplayer games

The paper analyzes how different migration modes affect the evolution of cooperation in multiplayer games, showing that coordination among migrants expands the range of games where cooperation can evolve.