Computational simulations indicate that classical psychedelics could induce hallucinations by co-opting neural circuitry dedicated to sleep-dependent replay and consolidation, providing a theoretical ...

A robust and quantitative map links chromatin modification and gene expression of cells during zebrafish embryogenesis.

This study characterizes several novel activities of SARS-CoV-2 helicase nsp13, providing valuable insights into potentially new functions of this essential RNA-processing enzyme in the virus life ...

In this valuable study, the authors develop new approaches to investigate mRNA imprinting, a phenomenon in which RNA-protein complexes form in the nucleus to influence the fate of transcripts in the ...

(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...

The formation of protein amyloid fibrils in the brain is a hallmark of various neurodegenerative diseases, including Alzheimer diseases and Parkinson diseases. Amyloid f ...

Interactions between pairs of humans lead to the emergence of a dyadic vigor with similar characteristics as individual vigor, where both partners adapt, with the slower having a critical role.

Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

A new biologically-informed training paradigm enables protein language models to predict affinity maturation trajectories for antibodies.

Rats with a history of cocaine use exhibited prolonged encoding of idiosyncratic task features in orbitofrontal cortex and a reduced ability to compress such features to identify underlying hidden ...

Homozygous but not heterozygous loss of Pten in sporadic mouse models of SHH-medulloblastoma greatly accelerates tumor formation, not metastasis, through increased survival of differentiated cells and ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...