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Inactivating <i>SnRK1β1A</i> promotes broad-spectrum disease resistance in rice
Aversive learning hijacks a brain sugar sensor to consolidate memory
Towards intelligent and miniaturized drug delivery devices
Functional hierarchy of the human neocortex across the lifespan
Exposed phosphatidylserine is an inhibitory molecule in T cell exhaustion
Ectopic NMDAR expression in cancer unmasks germline-encoded autoimmunity
Dominant clones leverage developmental epigenomic states to drive ependymoma
Genomic history of early dogs in Europe
Can China keep up its extraordinary research growth?
Why insects aren't huge: a new challenge to a decades-old idea
Retraction Note: Multisensory learning binds neurons into a cross-modal memory engram
Sock. Something. Um.
The surprising science behind red-light therapy — and how it really works
‘Continuity over novelty’: why environmental science needs to rethink its focus
Major conference catches illicit AI use — and rejects hundreds of papers
NASA revives next-generation flagship Earth-observing missions
“Falcon” and “Eagle” will monitor changing clouds and map critical minerals
Trump’s new science panel is stuffed with high-tech billionaires
The PCAST roster contains few academics and women
Dueling AI agents could reveal keys to restoring consciousness
A new study probes consciousness with models that simulate and classify brain activity. A neuroscientist behind the work explains its ambitions
Neurobiological links between Alzheimer's disease and reward system dysfunction
Alzheimer's disease (AD) is a highly prevalent progressive neurodegenerative disorder with unclear etiology, complex symptoms, and limited treatment options. Early pathological processes in AD emerge long before the onset of overt cognitive and motor symptoms and involve the accumulation of amyloid-β oligomers and neurofibrillary tangles, accompanied by neuroinflammation and neuronal loss. Importantly, the brain reward system comprises cortical and subcortical structures that share neurochemical...
Pan-neurodegeneration proteomics reveals disease subtypes and molecular signatures
Neurodegenerative diseases (NDs) pose clinical challenges due to their complexity and molecular heterogeneity. Here, we present a pan-neurodegeneration atlas (PanNDA) from multilayer, deep proteomic analysis of 2,279 human brain samples spanning 6 major NDs: Alzheimer's disease (AD), Lewy body dementia (LBD), frontotemporal lobar degeneration with TDP-43 pathology, progressive supranuclear palsy with tau pathology, vascular dementia, and Parkinson's disease. PanNDA integrates data from whole...