A computational strategy for extracting representative numerical features from 3D microscopy data enables in-depth quantitative analysis of cell and tissue organization through machine learning-driven data integration and context-guided visualization.
The bond-based adhesion model is a key step toward a realistic description of RBC-parasite interaction, which allows the investigation of more realistic scenarios and is relevant for other biological systems.
Genetic and biochemical studies show that a conserved ribosome biogenesis complex also localizes to heterochromatin, where it triggers RNA degradation and promotes the spreading and epigenetic inheritance of histone methylation.
Single cell RNA, protein and electrophysiology data revealed that combinatorial availability of three auxiliary subunit isoforms of a single ion channel is sufficient for generating distinct, input frequency-sensitive firing phenotypes.
Maternal spindle transfer is a feasible approach to enhance embryonic developmental of compromised oocytes, which can represent a new strategy for patients with forms of infertility refractory to current treatments.
A new high-throughput method for single-cell RNA-seq in yeast cells shows how stochastic expression of glucose-repressed genes contributes to cell-to-cell differences during adaptation to an environmental change.