Results 181 to 190 of about 8,899,293 (249)

RBM25 Drives Hepatocellular Carcinoma Progression by Stabilizing YAP Through Regulating Oncogenic Splicing‐switch of MYPT1

open access: yesAdvanced Science, EarlyView.
This study establishes that the RBM25‐PRPF40A interaction modulates MYPT1 splicing, promoting the production of the oncogenic long isoform. This isoform stabilizes YAP by suppressing its phosphorylation and subsequent proteasomal degradation, ultimately accelerating tumor growth.
Wenjing Zhang   +14 more
wiley   +1 more source

Plant Metabolites Screening Identifies 7‐epi‐10‐Deacetyltaxol Inhibiting Cell Division by Interfering With the Cell Cycle and Microtubule Organization

open access: yesAdvanced Science, EarlyView.
In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang   +20 more
wiley   +1 more source

Coarsening‐Resistant Ag Sinter Composites: Mechanistic Insights From Different Ag–Additive Systems

open access: yesAdvanced Electronic Materials, EarlyView.
An Ag–WC sintered composite exhibiting superior resistance to thermal coarsening. Different particle‐reinforced Ag sinter composites showed markedly different microstructural responses to thermal aging. The comparison revealed that robust Ag–additive interfaces maintain grain‐boundary pinning, whereas insufficient interfacial stability results in the ...
Yang Liu   +4 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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