4136 papers
This study integrates multi-omics data from nearly 1,000 donors across 17 cardiovascular tissues to characterize sex-dimorphic aging patterns, identifying high-confidence, actionable biomarkers and therapeutic targets—such as GUCY1A2 and PDE5A—that converge on specific signaling axes to advance precision cardiovascular medicine.
This study integrates computational modeling and biophysical experiments to identify the epidermal growth factor receptor (EGFR) as a primary molecular target of the anticancer lignan Cleistanthin A and its derivatives, demonstrating their strong binding affinity and stability as potential scaffolds for developing novel EGFR inhibitors.
This study demonstrates that a high-salt diet induces hypertension in salt-sensitive rats by disrupting gut microbiota, which subsequently impairs glycerophospholipid metabolism and leads to vascular dysfunction and inflammation.
This study demonstrates that habitat-adapted dark septate endophytes, specifically *Alternaria chlamydospora* SC11, stabilize the soil-root-plant continuum in *Suaeda salsa* under severe sulfate salinity by maintaining nutrient homeostasis, root integrity, and coordinated metabolic responses, whereas non-adapted isolates fail to provide these benefits.
This study demonstrates that astrocytes derived from centenarians exhibit enhanced brain resilience to SARS-CoV-2 infection through a restrained inflammatory response and distinct metabolic regulation, contrasting with the broader stress and immune dysregulation observed in astrocytes from adults who experienced critical disease.
This study demonstrates that CHRFAM7A-assigned transcripts are technically supported and significantly enriched in a specific LAMP3+CCR7+ dendritic cell state within esophageal squamous cell carcinoma, while clarifying that these findings do not confirm CHRNA7 expression or vagal signaling activity.
This study characterizes colistin resistance in multidrug-resistant *Acinetobacter baumannii* by revealing that chromosomal mutations are the predominant resistance mechanism over plasmid-mediated *mcr* genes, while also highlighting the complexity of resistance through the detection of isolates with unknown genetic determinants.
The paper proposes GraphTransformer-CoGNN, a two-stage dynamic graph learning framework that combines a Graph Transformer with resistance-distance encoding and a Cooperative GNN to achieve state-of-the-art cell-type annotation in spatial transcriptomics under label-scarce conditions by adaptively refining graph structures and suppressing spurious connections.
The paper proposes XG-PUL, a robust machine learning framework that combines Node2Vec-based graph representation learning with a bagging-based positive-unlabeled classifier to effectively prioritize disease-associated genes by addressing the challenge of label uncertainty in biological networks.
This study utilizes scanning electron microscopy to characterize the ultrastructural morphology, cell densities, and surface features of corneal epithelial and endothelial cells in three avian species (blue-and-white swallow, common pigeon, and rufous-bellied thrush), providing the first such description for the orders Columbiformes and Passeriformes.