Machine learning and experimental tests of receiver bias identify signal components critical to correct species classification in guenons, linking face pattern diversity to selection for species discrimination.
Supporting cells in the cochlea change their shape in response to purinergic receptor activation, which influences hair cell excitability by altering potassium redistribution in the extracellular space.
The first genomic view of beetle luciferase evolution indicates evolutionary independence of luciferase between fireflies and click-beetles, and provide valuable datasets which will accelerate the discovery of new biotechnological tools.
The super-resolution fluorescence microscopy approach polarization PALM (p-PALM) reveals that macromolecular crowding and inhomogeneity within nuclear pores generate a structurally and dynamically complex permeability barrier.
Application of machine learning to serum miRNA profiles generated through next generation sequencing identifies a biologically relevant miRNA signature which can be deployed as a qPCR test to assist the diagnosis of epithelial ovarian cancer.
The coding sequences of a very highly conserved family of neurogenic transcription factors from different species have evolved to generate proteins that have different life times causing them to display quantitatively different neural induction potentials.