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A microfluidic experimental approach combined with dynamical systems theory reveals how to entrain an embryonic oscillator, the segmentation clock, and allows for the quantification of its entrainment properties.

The new method and reported findings address a growing interest in neuroscience for research tools that can reliably decompose brain activity at the mesoscopic scale into interpretable components.

A fundamental lower-bound on memory recall precision, which declines with storage duration and number of stored items, is derived, and human performance is shown to be well-fit by this theoretical bound.

The mutation of Lys125 in connexin26 to glutamate, a carbamylation mimetic, pushes the equilibrium of the gap junction channel seen in cryo-EM towards a more closed conformation.

DExCon, LUXon, and DExogron approaches simultaneously block endogenous gene expression and permit tuning of re-expression levels in time and space; proof-of-principle reveals unforeseen differences in protein kinetics, cargo handling, and cell migration regulation between closely related Rab11 family members.

New hybrid structure determination methods leveraging the inherent biophysical properties of a macromolecule through molecular dynamics simulations provide accurate and cost-efficient ways of achieving atomic structures from high resolution cryo-electron density maps.

A new and throughly validated method for timely estimation of the effective reproductive number of SARS-CoV-2 aided in the public health response to the COVID-19 pandemic.

Advances in quantitative phase and polarized light microscopy, combined with deep learning, reveal the architecture of human brain tissue.

It is possible to accurately recommend antimicrobial drugs from mass spectra using neural networks and large datasets, paving the way for more efficient clinical diagnostics.

One-quarter of the Chondrichthyes have an elevated risk of extinction, mainly as a result of overfishing.