4413 papers
This study presents the first comprehensive molecular characterization of *Neofusicoccum luteum* through high-quality genome sequencing and transcriptomic analysis, revealing sophisticated, tissue-specific virulence strategies mediated by the coordinated expression of cell wall-degrading enzymes, transport systems, and effector proteins that drive avocado dieback disease.
This paper proposes a unified selectionist theory demonstrating that the cerebellum encodes stable procedural memories by acting as a biological Fourier Transform, where practice iteratively recruits and prunes spatiotemporal primitives to construct high-fidelity signals via constructive interference.
This study utilizes molecular modeling to demonstrate that Praziquantel's unique structural balance of hydrogen bonding and hydrophobic interactions within the Sm.TRP binding site creates a conformational equilibrium that is difficult to surpass, explaining why its amide and N-alkyl or aryl derivatives have failed to yield superior clinical alternatives despite extensive optimization efforts.
Using CRISPR-Cas9 to delete the GPI8 gene in *Leishmania major* revealed that the absence of GPI-anchored proteins severely impairs the parasite's stress resistance and virulence, while inducing compensatory lipophosphoglycan expression and demonstrating species-specific differences compared to *Leishmania mexicana*.
This study demonstrates that cell size is a critical determinant of eukaryotic microbial community structure and assembly mechanisms in river ecosystems, with larger cells exhibiting higher diversity and distinct ecological dynamics compared to smaller cells.
This study demonstrates that herbicide-degrading soil microorganisms, specifically *Acinetobacter radioresistens* R27 and *Bacillus pumilus* R25, can be utilized for the eco-friendly biogenic synthesis of spherical silver nanoparticles that exhibit potent dose-dependent fungicidal activity against major plant pathogens, thereby offering a dual solution for environmental bioremediation and sustainable plant protection.
GenoGlyph is an interpretable deep learning framework that decodes histopathology slides to accurately infer pan-cancer genomic mutations, validate their biological relevance through transcriptomic concordance, and provide independent prognostic stratification, thereby offering a scalable solution for precision oncology in settings lacking sequencing capabilities.
This study demonstrates that the rational bottom-up assembly of marine bacterial communities can generate stable, invasion-tolerant biofilms, offering a promising foundation for developing environmentally friendly, biofilm-based antifouling coatings for marine applications.
This study utilizes genome-wide association analyses of 212,000 individuals to demonstrate that eating disorder symptoms in the general population are driven by distinct genetic variants linked to appetite regulation and cognitive-behavioral traits, suggesting that a symptom-based approach offers valuable insights for improving intervention and prevention strategies beyond traditional diagnosis-based methods.
This paper presents the first mobile magnetoencephalography (MEG) system, which integrates wearable optically pumped magnetometers with lightweight shielding and battery-powered electronics into a vehicle-mounted scanner to enable high-fidelity, naturalistic brain imaging outside of specialist research centers.