3726 papers
Disrupting the oxaloacetate acetylhydrolase (OAH) gene in *Perenniporia fraxinea* impairs lignocellulose degradation and nutrient acquisition by reducing oxalic acid production, yet simultaneously enhances the mechanical strength of mycelial mats, revealing a trade-off that offers a new strategy for engineering mycelium-based biomaterials.
This study demonstrates that machine learning models outperform traditional polygenic risk scores in predicting Alzheimer's disease by effectively capturing complex non-linear genetic interactions and identifying novel candidate genes through explainable AI techniques.
This exploratory multi-omics reappraisal of anesthesia-associated genes in triple-negative breast cancer finds that while genetic evidence for causal links is limited, SDC1 emerges as the most robust candidate due to its consistent spatial clustering and enrichment in tertiary lymphoid structure-associated hotspots across patient samples.
A genomic screening of 341 *Macrophomina phaseolina* isolates reveals that resistance-associated mutations in the CYP51A and SDHB fungicide target genes are currently rare to absent, establishing a baseline for future resistance surveillance.
This study reveals that the RNA-binding protein SDOS promotes pro-survival autophagy in breast cancer cells by regulating both the translation of and interaction with the autophagy receptor SQSTM1/p62, thereby enhancing resistance to DNA damage and contributing to tumor progression.
This study introduces "representational velocity," a self-supervised metric derived from multimodal polysomnography that reveals continuous, sub-epoch sleep dynamics and gradual physiological transitions often obscured by traditional 30-second discrete staging frameworks.
This paper proposes a two-control computational model of affective modulation in magnitude estimation where arousal maps to lateral inhibition and valence maps to gain, predicting that increased arousal specifically contracts the range of estimable numerosities rather than causing a uniform bias.
This study evaluates anatomical, supervised CNN, and unsupervised ViT feature extraction paradigms across 80,000 brain MRI scans, finding that simple anatomical models match complex AI performance while proposing a novel Anatomy Segmentation Pretraining (ASP) method that outperforms existing models in biological age estimation.
This study successfully isolated and characterized 27 thermophilic and halophilic bacterial strains from the İzmir–Dikili marine hot spring in Turkey through a three-stage process involving phenotypic testing and 16S rRNA molecular analysis, identifying them as closely related to *Bacillus* and *Anoxybacillus* species.
This study evaluated the within-individual temporal stability of elemental and biochemical biomarkers across plasma, red blood cells, and 24-hour urine in healthy adults, revealing element- and specimen-specific patterns of stability that provide a reference framework for interpreting longitudinal measurements in clinical, nutritional, and environmental research.