3821 papers
This study demonstrates that Oxford Nanopore long-read rbcL metabarcoding can effectively characterize the botanical composition of clear stingless bee honey from Riau, Indonesia, revealing dominant signals from *Elaeis* and *Curcuma* genera within a low-volume sample.
This study developed and validated four KASP markers for Polima and Ogura cytoplasmic male sterility systems in *Brassica napus*, establishing a dual-marker strategy that enables high-throughput, precise identification of cytoplasmic types and nuclear genotypes to improve parental line selection, purity assessment, and the development of isoplasmic restorer lines.
This single-donor pilot study demonstrates that placing anti-ICAM-1 antibodies on the rigid protrusion tips of DNA origami nanoparticles significantly enhances their ability to penetrate the endothelial glycocalyx and target cell-surface biomarkers compared to body-placed antibodies, particularly under baseline and early-stage inflammatory conditions.
This study reveals that fungal biodiversity in the phyllosphere of Bhopal's urban green belts is governed by a complex interplay of seasonal climate shifts, host-plant specificity, and urban pollution, resulting in distinct seasonal dominance patterns where thermotolerant and melanin-rich species thrive in harsh summer conditions while humidity-loving fungi peak during the rainy season.
The authors introduce UniGeneX, a generative single-cell foundation model that maps transcriptomics data into a biologically interpretable Universal Gene Expression space to define cell types and microenvironment spectra, enabling comprehensive tissue atlasing and disease progression tracking in conditions like pulmonary fibrosis and glioma.
This study demonstrates that while tau and α-synuclein seed amplification assays accurately reflect their respective pathological burdens, the presence of α-synuclein copathology in Alzheimer's disease significantly potentiates tau seeding activity, suggesting a unidirectional catalytic relationship that could inform precision medicine approaches for mixed proteinopathies.
This paper demonstrates that an artificial biological primitive instantiated from an individual's own longitudinal data can effectively replace population-scale reference cohorts for personalized care and drug development, as evidenced by high-accuracy virtual perturbation results in type 1 diabetes patients and cross-scale generalization to other biological systems.
Analyzing data from 12 fear-conditioning studies, this paper reveals that trait anxiety is associated with a weakened coupling between physiological arousal (skin conductance) and adaptive learning strategies, suggesting that anxiety involves a constrained coordination between bodily dynamics and the ability to reduce uncertainty in changing environments.
This study analyzes the GenomeIndia cohort to demonstrate that while host-directed therapy targets for tuberculosis lack sufficient function-impairing variant burden to necessitate pre-trial genotyping, significant allele frequency divergences from European populations and annotation pitfalls highlight the critical need for localized validation before importing therapeutic hypotheses.
This paper demonstrates that treating trained biomedical AI models as interrogatable biological primitives enables targeted inversion to identify effective intervention strategies across individual, population, and neuronal scales, achieving substantial target-state improvements using compact, literature-derived intervention vectors.