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Deep convolutional neural networks can generate virtual histology from magnetic resonance imaging (MRI) data to map cellular structures in the mouse brain with high specificity, which enables neurobiologists to use MRI to characterize neuropathology effectively.

This first comparison of different methodologies to estimate germline mutation rate from pedigrees resulted in almost a 2-fold variation in the estimated rates, discrepancies mainly caused by different filtering methods.

An in-depth map of ATR signaling during mouse meiosis is revealed using a combination of genetic and pharmacological approaches coupled to quantitative mass spectrometry.

A deep mutational scan of the ADAR2 deaminase domain creates a map for designing tailored ADAR2 variants, and splitting the deaminase between residues 468 and 469 enables highly transcript-specific RNA editing.

Single-cell transcriptomic analyses of hypothalamic POMC neurons performed at seven developmental ages revealed marked cellular heterogeneity and divergent developmental pathways into alternative neuronal phenotypes that lack POMC.

A single-cell transcriptomic resource of the early chick epiblast from mid-gastrulation through neurulation highlighting emergence of the neural plate border territory, with emphasis on neural crest specification.

The combination of juxtacellular recordings with optogenetics in freely moving mice enables the targeting of genetically defined cell classes for high-resolution, single-cell structure–function analysis.

iMyoblasts, a novel iPS-derived PAX3 muscle stem cell for gene editing, muscle engraftment, and stem cell therapeutics to treat muscle injury and muscular dystrophies.

A simple cryopreservation method using chicken eggs will be a valuable tool to safeguard genetic diversity and conserve the 1600 local breeds of chicken on the planet.

Single-cell transcriptomes of larval zebrafish whole brain shed light on the multidimensional landscapes of transcription factors and post-transcriptional regulators in vertebrate whole-brain neuronal classification and revealed principles of how neuronal cell diversity develops and evolves.