Browse Articles

Onavg is a surface template of the human cortex. In contrast to existing templates, the cortical surface is uniformly sampled, which has advantages in numerous applications.

SwitchSeeker combines computational and experimental techniques to identify functional RNA structural switches. Applied to the human transcriptome, it identified a novel RNA switch in the 3ʹUTR of RORC, linked to nonsense-mediated decay.

Being first in a family to aim for a science career takes resilience and resourcefulness.

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.

Tissues and organs are inherently three-dimensional. Studies to understand their function and dysfunction should therefore aim to maintain the 3D spatial context.

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

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.

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.

A systematic comparison of 11 sequencing-based spatial transcriptomics methods reveals molecular diffusion as a critical variable that influences the effective resolution and data interpretation across platforms. Our benchmarking study should aid biologists in selecting the most appropriate method for their specific tissue.

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.

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.

This work presents ORFtag that enables proteome-wide functional screens by tagging and overexpression of endogenously encoded proteins via randomly integrated cassettes.

The MHz repetition rates available at second-generation X-ray free-electron lasers enable the collection of microsecond time-resolved X-ray scattering data with exceptionally low noise, providing insights into protein structural dynamics.

Scalable tools are needed for the analysis of increasingly large mass spectrometry-based proteomics datasets. quantms offers an open-source, cloud-based pipeline for massively parallel proteomics data analysis.

This analysis presents a systematic comparison of 11 sequencing-based spatial transcriptomics methods using well-characterized references, which offers insights into performance variations in spatial transcriptomic techniques.

This work introduces CRISPRdelight, a dCas12a-based DNA-imaging tool that facilitates the imaging of non-repetitive loci and the tracking of DNA dynamics.

Gapr is an efficient platform for reconstructing neurons in large-scale light microscopy datasets. It enables various proofreading modes as well as collaboration among many annotators.

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.