This study presents an important finding that ant nest structure and digging behavior depend on ant age demographics for a ground-dwelling ant species (Camponotus fellah). By asking whether ants ...
The investigators studied the membrane-targeting sequence (MTS) of bactofilin A (BacA) in Caulobacter crescentus to explore its role in membrane binding and polymerization. They used various ...
This valuable study examines how different exercise training intensities affect intestinal barrier function and gut microbiota composition over a 6-week period in mice. The evidence supporting the ...
Effectively communicating your research can help to maximise its impact in your field and communities. We share some advice on how to broaden the reach of your findings, and ensure that your message ...
Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, USA ...
This study presents a valuable finding on the molecular mechanisms that govern GABAergic inhibitory synapse function. The authors propose that Endophilin A1 serves as a novel regulator of GABAergic ...
New research shows that the neural circuit responsible for stabilising gaze can develop in the absence of motor neurons, contrary to a long-standing model in the field.
A new computer model can more accurately assess how causal relationships in complex real-world systems vary over time.
Penn Ovarian Cancer Research Center and Basser Center for BRCA, University of Pennsylvania, Perelman School of Medicine, Philadelphia, United States ...
Fluorescence lifetime imaging microscopy (FLIM) excels over the widely used fluorescence intensity imaging by allowing the measurement of absolute signal levels, independent of sensor concentration.
This important paper takes a novel approach to the problem of automatically reconstructing long-range axonal projections from stacks of images. The key innovation is to separate the identification of ...
Perceptual uncertainty and salience both impact decision-making, but how these factors precisely impact trial-and-error reinforcement learning is not well understood. Here, we test the hypotheses that ...