Results 211 to 220 of about 163,717 (335)

Gut Bacterium Lysinibacillus Sphaericus Exacerbates Aspirin‐induced Intestinal Injury by Production of Carboxylesterase EstB

open access: yesAdvanced Science, EarlyView.
Schematic overview illustrating the detrimental role of gut microbiota in aspirin‐induced intestinal injury. L. sphaericus and its secreted carboxylesterase EstB are identified as key drivers that catalyze aspirin hydrolysis into salicylic acid, thereby exacerbating intestinal injury. Inhibition of EstB by the dietary compound flavanomarein effectively
Zeyu Zhao   +13 more
wiley   +1 more source

SIRT2 inhibition by AGK2 enhances mycobacteria-specific stem cell memory responses by modulating beta-catenin and glycolysis. [PDF]

open access: yesiScience, 2023
Bhaskar A   +9 more
europepmc   +1 more source

Borealin Promotes Tumor Growth and Metastasis by Activating the Wnt/β-Catenin Signaling Pathway in Hepatocellular Carcinoma

open access: gold, 2022
Baiyang Chen   +10 more
openalex   +1 more source

Senescent Synovial Intimal Fibroblasts Aggravate Osteoarthritis by Regulating Macrophage Polarization and Chondrocyte Phenotype Through ANGPTL4‐α5β1 Axis

open access: yesAdvanced Science, EarlyView.
Senescent synovial intimal fibroblasts (SIF) are identified as key drivers of osteoarthritis. They promote M1 macrophage polarization and cartilage degeneration via the ANGPTL4–α5β1 axis, regulated by transcription factors EGR1 and ATF3. Pharmacological inhibition of this pathway alleviates disease, revealing SIF senescence as a promising therapeutic ...
Muhai Deng   +7 more
wiley   +1 more source

PGM3 regulates beta-catenin activity to promote colorectal cancer cell progression. [PDF]

open access: yesExp Biol Med (Maywood), 2022
Zhang N   +8 more
europepmc   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

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