Polyphosphate (polyP) exists in all life forms; however, its biological functions in metazoans are understudied. Here, we explored Drosophila as the first genetic model to explore polyP biology in ...

The mechanisms of formation of the distinct sensory organs of the inner ear and the non-sensory domains that separate them are still unclear. Here, we show that several sensory patches arise by ...

HIV-1 Vif induces a unique and prolonged pseudo-metaphase arrest by disrupting phosphatase feedback regulation at the kinetochore.

This important study examined orientation representations along the visual hierarchy during perception and working memory. The authors provide results suggesting that during working memory there is a ...

Using single-cell RNA sequencing, we mapped thousands of expression quantitative trait loci in yeast, including a variant in GPA1 that influences gene expression, cell-cycle occupancy, and mating ...

To understand the function of neuronal circuits, it is crucial to disentangle the connectivity patterns within the network. However, most tools currently used to explore connectivity have low ...

Retinal structure and function have been studied in many vertebrate orders, but molecular characterization has been largely confined to mammals. We used single-cell RNA sequencing (scRNA-seq) to ...

This study highlights how the deletion of the MSTN gene in pigs affects the gut microbiota and leads to changes in skeletal muscle growth and function. By transplanting the remodeled gut microbiota ...

Accumulating evidence indicates that astrocytes are actively involved in brain function by regulating synaptic activity and plasticity. Different gliotransmitters, such as glutamate, ATP, GABA or ...

Clarifying gene expression in narrowly defined neuronal populations can provide insight into cellular identity, computation, and functionality. Here, we used next-generation RNA sequencing (RNA-seq) ...

Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...