5853 papers
This study demonstrates that the failure of CRISPRi/a efficacy models to generalize across different guide libraries and cell lines is primarily driven by within-gene label normalization rather than a lack of chromatin features, as retraining with harmonized continuous labels significantly restored transfer performance.
This study characterizes two mango FCA2 genes (MiFCA2-SJ and MiFCA2-JH), demonstrating their nuclear localization, interaction with stress-related proteins, and distinct roles in promoting early flowering under temperature stress and modulating responses to drought and salt via the ABA signaling pathway.
This study demonstrates that while fixed defaults for the number of principal components often work, data-driven optimization is essential for scRNA-seq analysis due to variable optimal ranges across diverse datasets, and it provides practical recommendations for selecting these methods based on a comprehensive evaluation of real and simulated data.
While pollinator abundance and network structure remain resilient and facilitate pollen flow across agricultural landscapes during tropical forest recovery, the full restoration of specialized plant-pollinator interactions and old-growth network complexity is significantly delayed, taking decades to reassemble.
This study proposes a systems biology framework demonstrating that Long COVID's bioenergetic collapse and chronic inflammation stem from CD147-mediated suppression of the p53--Nrf2--SIRT3--TFAM axis, which impairs mitochondrial function and nucleoid-phagy, but can be reversed through therapeutic epigenetic shielding to restore this regulatory cascade.
This study introduces an interactive tracking and random walk pipeline that utilizes size-controlled cortical neurospheres to quantify substrate-dependent axonal kinematics, successfully linking microscopic growth dynamics to macroscopic network topology for predicting circuit architecture in vitro.
This paper presents a deep learning-based computational framework that outperforms traditional machine learning models in predicting T-cell and B-cell epitopes from the monkeypox virus proteome, offering a scalable and adaptable strategy for designing epitope-focused immunogens against emerging viral variants.
The study reveals that during type 2 inflammation, IL-33 signaling uncouples the specialization from the suppressive function of pulmonary regulatory T cells by upregulating IL-4Rα to drive glycolysis-dependent STAT6 signaling, thereby promoting pathogenic TH2 memory while simultaneously impairing TREG-mediated immune restraint.
This study demonstrates that farming practices and geographic location jointly shape the bacterial microbiota of the olive fruit fly (*Bactrocera oleae*) in Spain, where organic orchards foster diverse, beneficial microbial communities that enhance host fitness compared to conventional systems, suggesting new avenues for microbiome-based pest management.
This study integrates spatial metabolomics and genome mining to characterize the antifungal activity of *Streptomyces halstedii* S14 from *Melipona mondury* larval food, revealing a spatially structured chemical interaction involving compounds like caboxamycin and bafilomycin C1 without attributing the phenotype to a single molecule.