Analysis of scRNA-seq data from primate embryoid bodies highlights the value of cross-species comparisons for identifying and characterizing cell types, as marker genes can evolve fast.
François Simon, Guillaume Ramadier ... Lucien E Weiss
Exatrack is a framework for analyzing Brownian, directed, and confined motion using a hidden-variable probabilistic model to extract physical insight into particle diffusion.
Direct presynaptic patch-clamp recording and fluorescent imaging of the vesicular release demonstrate that a non-canonical cannabinoid receptor GPR55 deprives readily releasable vesicles of competency in cerebellar Purkinje cell axons.
Frederick A Matsen IV, Will Dumm ... Hugh K Haddox
Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.
Genomic neighborhood signatures delineate catalytic versus putative regulatory CODH clades, establishing a framework for predicting enzyme functionality and guiding discovery of biocatalysts for CO2 reduction.
Dysregulated exocytosis of bis(monoacylglycerol)phosphate (BMP)-enriched extracellular vesicles driven by pathogenic LRRK2 activity supports elevated urinary BMP levels and its use as a biomarker for Parkinson's disease.
Peptidoglycan recycling is essential for proper cell growth and intrinsic ampicillin resistance in Caulobacter crescentus, highlighting PG recycling enzymes as potential antibacterial targets.
A hierarchical framework integrating artificial intelligence with chemical principles enables the conversion of fragile α-helices into ultrastable protein scaffolds.
