Results 131 to 140 of about 693 (168)
Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley +1 more source
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
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
The manuscript examines preclinical murine and human models to study polycystic ovary syndrome (PCOS), delving into the cellular and molecular mechanisms underlying altered ovarian follicular dynamics. It explores the cellular interactions involved in normal and PCOS ovaries and outlines the current and novel strategies in the search for preclinical ...
Arturo Bevilacqua+5 more
wiley +1 more source
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
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
Direct Ink Writing of Conductive Hydrogels
This review examines the use of direct ink writing (DIW) for fabricating conductive hydrogels with customizable 3D structures. It outlines the rheological requirements for successful DIW, followed by an exploration of the materials and ink formulations used to impart electronic and/or ionic conductivity to hydrogels while maintaining printability ...
Monica Ho+6 more
wiley +1 more source