Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.
An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.
A robust fluorescence microscopy-based data acquisition and analysis framework affords the precise measurement of cell surface receptor affinities toward their cognate ligands and their densities in live cells/tissues.
Transfection of quail primordial germ cells considerably expands the possibilities of genome modifications in birds, elevating the quail to the rank of genetic laboratory animal models of reference.
APPPS1 microglia express disease-associated proteomic signatures of Alzheimer's disease earlier, compared to the APP-KI, and these differences correlate with the levels of fibrillar Aβ and impaired microglial phagocytic function.
The metabolic rate of mice is disproportionately affected by the site of experimentation, affecting the phenotypic interpretation of genetically modified strains.
A new viral injection method targets the transverse sinuses to achieve robust whole-brain delivery of single or multiple genes in multiple mammalian species early in development.
