Results 231 to 240 of about 215,212 (285)

Activation of SIRT1 Reduces Renal Tubular Epithelial Cells Fibrosis in Hypoxia Through SIRT1‐FoxO1‐FoxO3‐Autophagy Pathway

open access: yesAdvanced Biology, EarlyView.
Hypoxia promotes the epithelial‐mesenchymal transition (EMT) of renal tubular epithelial cells via the SIRT1‐FoxO1‐FoxO3‐autophagy pathway, thereby resulting in the fibrosis of renal tubular epithelial cells. Activation of SIRT1 or induction of autophagy inhibits this process, alleviating hypoxia‐induced fibrosis.
Guangyu Wang   +6 more
wiley   +1 more source

Acase of umbilical metastasis from cancer of the Stomach

open access: bronze, 1966
Hiroshi Hayasaka   +4 more
openalex   +2 more sources

RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer

open access: yesAdvanced Biology, EarlyView.
Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav   +5 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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