Browse our latest Computational and Systems Biology articles

Based on benchmarking various methods and analyzing multiple real scRNA-seq datasets, a computational platform/workflow and a set of tips for best practices are developed for analyzing causal interactions or relationships in single cells.

Genetically fusing weakly homodimerizing proteins to the C-terminus of IgG antibodies to induce reversible catenation on a target surface greatly enhances antigen-binding avidity, offering a promising approach for a range of antibody applications.

A physiological mathematical model of chronic myeloid leukemia, validated by experiments in transgenic mice and clinical data, identifies mechanisms underlying the response to tyrosine kinase inhibitor therapy, predicts biomarkers of primary resistance, and suggests new strategies to improve treatment outcomes.

Across individuals of a mouse population, brain regions volumes scaled to accommodate the same amount of cells, but left hemisphere cortical regions were denser than right, and several regions of the limbic system were more pronounced in either sex.

Local sequence context, length, and GC nucleotide content in both directions of the trimming site, together, are highly predictive of V(D)J trimming probabilities for both TR and IG adaptive immune receptor loci.

Data-driven mathematical modeling suggests that leading neural crest cells in a moving stream can robustly communicate with trailing cells by remodeling their extracellular matrix, thereby enabling long-distance collective migration.

The two-way coupling between collective actions and risk is essential to avoid the tragedy of the commons.

The chaperones Hsp70 and Sis1 collaborate to repress the heat shock response and are both transcriptional targets of the heat shock response, yet only Hsp70 acts as a negative feedback regulator of the heat shock response.

The ovarian immune system ages while coping with the two main challenges of the aging ovary before menopause, the inflammatory stimulations due to repeated cycles and the increasing need for clearance of accumulating atretic follicles.

Engineered local heterogeneity in drug concentration is used as a tool to encode drug treatment regimens and to predict the macroscopic cellular response to drug perturbations.