News & Views

Although structural variation is less explored than single-nucleotide variation, recent studies have shown it to be associated with several human diseases. Three fresh computational methods might help to elucidate this inadequately understood part of our genetic makeup.

Outbreak.info empowers real-time variant monitoring and tracing of associated publications and resources during the ‘infodemic’ of SARS-CoV-2.

New three-photon miniature microscopes open the study of neuronal networks to those deep in the brains of behaving animals.

A self-inactivating rabies virus tracer allows long-term monitoring and transcriptomic profiling of synaptically connected cells.

Optimal design of spatial transcriptomic experiments allows statistical evaluation of the impact of various biological and technological features on the discovery of cell phenotypes.

New red–green optogenetic dimerizers enable the switching on and off of gene expression with high spatiotemporal precision.

A deep learning approach called DeepPiCt facilitates segmentation and macromolecular identification in the cellular jungle of electron cryotomography data.

Multiplexing real-time single virus tracking with imaging paves the way for detailed information on virus–host interactions, offering a potential paradigm shift.

The generation of a whole larval zebrafish brain electron microscopy volume in tandem with automated tools lays the groundwork for producing the first vertebrate brain connectome.

OCTOPUS is a bioengineered device for high-fidelity organoid cultures long term.

An approach for integrating the wealth of heterogeneous brain data — from gene expression and neurotransmitter receptor density to structure and function — allows neuroscientists to easily place their data within the broader neuroscientific context.

TracX shows that fast proofreading of track assignments leads to improved cell tracking performance.

Advances in microscopy, computer vision and open source software are converging to usher in a new era of microscopes that control themselves.

New computational method uses convolutional neural networks for cis-regulatory sequence analysis to analyze and cluster scATAC-seq data.

Dipole–dipole crosstalk between fluorophores separated by a distance of less than 10 nm induces changes in their photophysics, which adds a challenge to localization microscopy in the sub-10-nm regime.

A diagnostic fragment ion in tandem mass spectrometry enables confident protein lactylation assignment and the discovery of broad lysine modification beyond histones.

Evidence for at least one protein product from 80% of all mouse genes is reported in a comprehensive proteomic analysis of 41 adult mouse tissues. Comparison of tissue profiles between mouse and human suggests that the fundamental biology of this important model organism is even more different from our own than we thought.

New data collection methods enable ab initio protein structure determination by micro-electron diffraction for the first time.

De novo structure generation from tandem mass spectrometry data will advance annotation of unknown metabolomic signals.

A repeat-aware pipeline corrects structural assembly errors and polishes assembly sequences in large repeats without overcorrection.