Research Highlights

Live imaging enables temporal tracking of immune cell behavior.

Ultra-high-throughput sequence alignment enables identification of >130,000 novel RNA viruses.

Comprehensive modeling of cellular networks of cells with a minimal genome.

A metagenomic approach to identifying the sources of N⁶-methyldeoxyadenine (6mA) in eukaryotic DNA found no evidence of high 6mA abundances in sampled eukaryotes.

Two groups report improved variants of the channelrhodopsins ChRmine and ChroME, respectively.

Jellyfish are established as a model system for neuroscience.

Slide-DNA-seq enables profiling of spatially resolved mutations and clonal populations in intact tumor samples.

Clonal evolution of stem cells unveiled by modeling DNA methylation fluctuation.

An imaging mass cytometry method reconstructs tissue microenvironments in 3D.

Researchers push the limits of confocal microscopy by combining multiple views, super-resolution and deep learning.

MapToCleave enables the large-scale study of miRNA precursor processing in living cells.

Frequencies of passenger mutations hint at unobserved driver mutations.

The first single-cell transcriptome of the gastrulating human embryo.

Two microscopy approaches bring flexibility to mesoscopic imaging in the brain, allowing independent imaging in multiple regions simultaneously.

Two studies use nanopores for single-protein fingerprinting and make headway toward single-protein sequencing.

Single-cell GET-seq (scGET-seq) enables the probing of compacted as well as accessible chromatin in single cells, covering a greater portion of the genome, which provides insights into genomic and epigenetic dynamics.

A simple ‘binder/tag’ approach allows tracking of individual protein conformation changes in live cells.

Repair-seq enables efficient profiling of genetic factors involved in DNA double-strand break repair.

A framework to reconstruct tissue architecture from imaging data.

Technological advances in volume electron microscopy allow imaging and analysis of whole cells at record resolution.