The strength of TCR signalling determines the rate at which cells initiate a tightly coordinated signalling programme, without altering its organization.
Adaptational tradeoffs constrain the evolutionary pathways towards antimicrobial resistance, but highly fit mutants are nevertheless likely to arise at any concentration of the drug.
Computational approach to identify reproducible genetic interactions in cancer reveals that they are enriched among protein–protein interaction pairs.
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.
HLA class I-disease associations have been studied for decades; a new approach for investigating the underlying mechanism can overcome past problems with interpretation and help to understand the etiology of human diseases.
Alexander Shakeel Bates, James D Manton ... Gregory SXE Jefferis
Open source software enables neuroscientists to integrate single neuron or synaptic-resolution datasets from different imaging modalities to analyse morphology and connectivity at the scale of whole brains and connectomes.
Interactions between immune cell receptors and proteins that determine disease susceptibility shed light on how different arms of the immune system are involved in three viral infections and Crohn's disease.
A new user-intervention-free classification, using single-fluorescent markers, measures conventionally unmeasureable phenotypes in early stages during clathrin-mediated endocytosis.
Deep mining of GT-A fold sequences provides an evolutionary framework for investigating complex relationships connecting GT-A fold sequence, structure, function and regulation.
