Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
The bacterium that causes TB can hide in liver cells called hepatocytes, and reprogram their metabolism for its own benefit.
BOAS is a platform for building multivalent viral protein immunogens without a scaffold, such as a nanoparticle, to elicit broad influenza vaccine responses.
An evolutionary perspective on immune priming across plants and invertebrates highlights the roles of microbiomes and epigenetic regulation in shaping innate immune memory with promising applications ...
This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...
This useful study demonstrates that microsaccade direction primarily indexes shifts rather than the maintenance of covert spatial attention, offering a focused interpretation that may help reconcile ...
This valuable study presents an analysis of the gene regulatory networks that contribute to tumour heterogeneity and tumor plasticity in Ewing sarcoma, with key implications for other fusion-driven ...
A new method for tracking the activity of individual neurons day after day in the growing brain has revealed a key developmental transition in neuronal activity.
This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...
Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.
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