Results 171 to 180 of about 1,035,047 (359)
The influence of glutathione S-transferases M1 and M3 on the development of bladder cancer [PDF]
Problem: Cigarette smoking is the most important risk factor of transitional cell carcinoma of the urinary bladder. The effect of the glutathione S- transferases M1 (GSTM1) and M3 (GSTM3) on the influence of this risk factor was investigated.
Bolt, Hermann M. +3 more
core
Genetics‐Based Targeting Strategies for Precise Neuromodulation
Advanced Science, EarlyView.In this Review, the fundamental principles and implementation protocols of genetics‐based precision neuromodulation are first introduced. Then, wireless and low‐invasive strategies based on nano‐transducing materials are highlighted, along with a dissection and analysis of the strengths and weaknesses of representative studies.
Yuyuan He +11 more
wiley +1 more source
Gelsolin's Protective Role in MASH through F‐Actin Regulation and P53 Degradation
Advanced Science, Volume 12, Issue 23, June 20, 2025.Gelsolin (GSN) maintains liver metabolic homeostasis by promoting MDM2‐mediated P53 degradation and inhibiting F‐actin/Yes‐associated protein (YAP) overactivation. Loss of GSN impairs P53 degradation, increases lipid deposition, and enhances YAP‐driven fibrosis and inflammation in metabolic‐associated steatohepatitis.
Yiwei Lu +9 more
wiley +1 more source
Collaborative Duality of CircGLIS3(2) RNA and Protein in human Wound Repair
Advanced Science, EarlyView.CircGLIS3(2), a circRNA transiently upregulated in dermal fibroblasts during acute wound healing, is induced by IL‐1α and TGF‐β. Its RNA activates fibroblasts into matrix‐secreting cells, while its encoded protein enhances proliferation. The RNA stabilizes PCOLCE, and the protein interacts with BTF3, collectively accelerating wound repair. Abstract The
Guanglin Niu +20 more
wiley +1 more source
Cancer of the Urinary Bladder Induced in Mice with Metabolites of Aromatic Amines and Tryptophan
, 1957 Mark Allen +4 more
openalex +1 more source
Advanced Science, Volume 12, Issue 23, June 20, 2025.DeepCCDS leverages prior knowledge and self‐supervised learning to model cancer driver signals for drug sensitivity prediction. It captures complex regulatory patterns enabling more biologically informed representations. The framework outperforms existing methods across datasets, offering improved accuracy and interpretability.
Jiashuo Wu +10 more
wiley +1 more source
EBioMedicineSummary: Background: BK polyomavirus (BKV) DNAaemia occurs in 10% of recipients of kidney transplants, contributing to premature allograft failure. Evidence suggests disease is donor derived.
Stephanie M.Y. Chong +8 more
doaj