Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.
A human experimental model for physiological glucocorticoid exposure and glucocorticoid withdrawal identifies a multi-omic cluster, including microRNA miR-122-5p and metabolites, associated with glucocorticoid-responsive genes.
Chronic alcohol exposure results in a long-lasting, enhanced endocannabinoid signalling at orbitostriatal synapses that is expressed in a projection-, synapse-, and behaviorally computation-specific manner.
FlyBrainLab is an open-source computing platform that integrates 3D exploration and visualization of diverse Drosophila connectomic/synaptomic datasets with interactive exploration of the functional logic of modeled executable brain circuits.
Network topology and gene expression patterns in small cell lung cancer reveal two mutually opposing teams of regulators that enable multistability and consequent non-genetic heterogeneity, a clinically unsolved challenge.
Synaptotagmin-7 acts synergistically with synaptotagmin-1 by placing vesicles close to the plasma membrane within reach of the SNARE/Munc13-complex, supporting their priming and setting the stage for fast and slow fusion.