Browse our latest Computational and Systems Biology articles

In environments that fluctuate over the course of deliberation, optimal decision strategies display novel dynamics that can explain human response behaviors better than commonly used alternatives.

A large-scale single-cell RNA sequencing experiment explores single-cell dynamics in epithelial and immune populations within murine prostates upon cancer initiation and progression and validates key findings across orthogonal models and patient specimens.

The calibration of decision thresholds will provide evidence for the optimal use of in silico predictors for the standardised classification of globin gene variants under the American College of Medical Genetics and Genomics/Association for Molecular Pathology framework.

Damage and repair for both aging mice and humans declined with age, exhibited very long timescales that varied across health attributes, and were differently affected by interventions.

A unified framework for cell lineage statistics enables quantification of fitness landscapes and selection strength for any cellular lineage traits in a model-independent manner, and reveals the contributions of growth heterogeneity to population growth in diverse experimental model systems.

A combination of mathematical modeling and live-cell imaging reveals a strategy for the rational control over cell electrophysiology though modulation of ion channel expression.

Proteomics uncovers thus far unknown age and sex differences in sciatic nerve and skin of naïve mice, highlighting the importance of adequate age matching and parallel investigation of male and female mice in biomedical studies.

Comprehensive transcriptomic analyses describe the underlying tumorigenic gene expression state in the invasive Drosophila follicle cells following the loss of epithelial cell polarity and identify a non-canonical role of Keap1-Nrf2 signaling in regulating collective cell invasion.

Strains of the bacterium Pseudomonas aeruginosa that use secondary metabolism to make surfactants and change the surface tension of the liquid that surrounds them do so only if they can first meet their primary metabolic needs.

Self-organization based on a feedback loop between cell geometry and division plane positioning plays a central role in the building of tissue architectures in Arabidopsis thaliana embryo through both stereotyped and variable division patterns.