A phase shift between local contractions drives 3D cell motility in experiments and in model or how a finite area in the dipole-quadrupole space explains cell motion with zero total force.

Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.

Single-cell multiomics reveals the gene regulatory networks and enhancer logic underlying two distinct wound response cell states in the Drosophila wing imaginal disc and finds similarities with cell states observed in the Ras-scrib tumor model.

Chromosome replication and a different inter-division process both contribute to division control during unperturbed growth, but if division is delayed by increasing cell width the inter-division process becomes solely rate-limiting.

Bayesian inference identifies hidden dynamics underlying noisy cell division data.

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.

The physical distance between genes in individual cells is the major factor driving co-transcriptional bursts, showing a significant degree of correlation for distances below 400 nm.

The combination of statistical inference and perturbation experiments reveals that trans-generational inheritance of cell size and cell-cycle speed, coupled through a minimum-size checkpoint, shapes paradoxical cell-cycle correlations in lineage trees.

Lineage resolved single-cell RNA-seq of mammary carcinoma models uncovers a metabolic vulnerability of taxane-resistant clones.

Multiplexing and digital analysis of melanoma tissue describe functionally the microenvironment associated with brisk/non-brisk infiltrates and expose the functional incongruences of this morphological classification currently in use for tumor-infiltrating lymphocytes.