Combination of deep learning models trained on tissue-specific genomic data and fine-mapping approaches supports efforts to identify causal variants and mechanisms at GWAS loci.
Brain imaging reveals frequency-dependent lateralized rhythmic finger tapping control by the auditory cortex with left-lateralized control of relative fast and right-lateralized control of relative slow rhythms.
A genetic method allows neurons to be individually identified and characterized by combining information about both their developmental origins and their mature patterns of gene expression.
An enrichable cross-linker with optional isotope labeling quadruples the number of cross-linked peptides identified from high-complexity samples, enhancing proteome-wide analysis of protein-protein interactions and protein conformational changes by mass spectrometry.
Sudden stopping of rhythmic movement is associated with a pronounced increase of 60-90 Hz gamma oscillations in the subthalamic nucleus, which have formerly been regarded as favouring movement.
A novel algorithm is used to solve the first 3D reconstruction of a stepping kinesin dimer on microtubules, directly visualizing the conformational effects of inter-head strain and giving novel insights into the motility mechanism.
A general framework for gating reveals that inter-head tension is not essential for coordinating kinesin stepping, and that neck-linker length is tuned to enhance processivity and velocity.
Research into light-gated ion channels called channelrhodospins laid the foundations for the development of optogenetics, a technique that has gone on to revolutionize neuroscience.
