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  • Bats, the only flying mammals, comprise almost 25% of mammalian species. They are excellent navigators, highly social, and extremely long-lived. Their sense of echolocation has been studied for many years — but many species possess also excellent vision and olfaction. In recent years, bats have emerged as new models for neurobiology of navigation, social neuroscience, aging, and immunity.

    • Liora Las
    • Nachum Ulanovsky
    This Month
  • Tissues and organs are inherently three-dimensional. Studies to understand their function and dysfunction should therefore aim to maintain the 3D spatial context.

    Editorial
  • Machine learning approaches can distinguish six different classes of presynapses from electron micrographs across the Drosophila brain.

    • Rita Strack
    Research Highlight
  • Keypoint-MoSeq is an unsupervised behavior segmentation algorithm that extracts behavioral modules from keypoint tracking data acquired with diverse algorithms, as demonstrated in mice, rats and fruit flies. The extracted modules faithfully reflect human-annotated behaviors even though they are obtained in an unsupervised fashion.

    • Caleb Weinreb
    • Jonah E. Pearl
    • Sandeep Robert Datta
    ArticleOpen Access
  • This Perspective discusses the methods and tools required for three-dimensional histology in large samples, an approach that promises insights into tissue and organ physiology as well as disease.

    • Ali Ertürk
    Perspective
  • SpatialGlue is a tool designed to decipher spatial domains from spatial multi-omics data acquired from a single tissue section. It employes graph neural networks with a dual-attention mechanism to accomplish within-omics integration of measured features and spatial information, followed by cross-omics integration.

    Research Briefing
  • We demonstrate CRISPRdelight, a robust CRISPR–Cas12a-based method for imaging non-repetitive genomic DNAs in a highly efficient way. This system is a powerful tool for studying functional links between gene dynamics, localization and regulation, and reveals heterogeneity in the expression of differently localized alleles in the same cells.

    Research Briefing
  • The annotation of structural glycomics data is a bottleneck in gaining insight into complex carbohydrates. An artificial intelligence model, CandyCrunch, has now been developed that accelerates the annotation process by orders of magnitude and achieves high accuracy in the prediction of glycan structures from tandem mass spectrometry data.

    Research Briefing
  • CandyCrunch is a deep learning-based tool for predicting glycan structures from tandem mass spectrometry data. The paper also introduces CandyCrumbs that automatically annotates fragment ions in higher-order tandem mass spectrometry spectra.

    • James Urban
    • Chunsheng Jin
    • Daniel Bojar
    ArticleOpen Access
  • The EMDataResource Ligand Model Challenge aimed at assessing the reliability and reproducibility of modeling ligands bound to protein and protein–nucleic acid complexes in cryo-EM maps determined at near-atomic resolution. This analysis presents the results and recommends best practices for assessing cryo-EM structures of liganded macromolecules.

    • Catherine L. Lawson
    • Andriy Kryshtafovych
    • Wah Chiu
    Analysis