This important study characterises the morphogenesis of cortical folding in the ferret and human cerebral cortex using complementary physical and computational modelling. Notably, these approaches are ...

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, United States ...

Peptide inhibitors of E3 ubiquitin ligase anaphase-promoting complex/cyclosome, engineered for enhanced affinity by incorporating unnatural amino acids, are able to block substrate ubiquitination and ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

A zebrafish Cas9 knock-in model enables lineage-specific gene disruption to uncover genetic dependencies in development and disease.

Gut dysbiosis and specific microbiota composition promoted the absorption of excess palmitic acid in the ileum, driving its accumulation in the serum.

This useful study shows that stimuli of a certain size elicit theta oscillations in V1 neurons both in spikes and local field potentials, and monkeys performing a dot detection task on these stimuli ...

A digital atlas of every cell in a developing marine worm reveals how networks across the body coordinate sensing and movement, and provides insights into the evolution of the nervous system.

This study provides valuable insights into microtubule remodeling during liver-stage Plasmodium berghei development, demonstrating that deletion of the alpha-tubulin C-terminal tail impairs parasite ...

Early immune pressure and co-occurring mutations drive changes in hepatitis C virus fitness and evolution, revealing key dynamics in the establishment of chronic infection.

The accuracy of spatial gene expression profiles generated by probe-based in situ spatially-resolved transcriptomic technologies depends on the specificity with which probes bind to their intended ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...