Results 231 to 240 of about 4,537,289 (342)

Cascade‐Responsive MXene@Cu‐MOF Heterostructure Integrates Antioxidant Activity, Infection Control, and Vascularization for Tracheal Repair

open access: yesAdvanced Science, EarlyView.
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo   +8 more
wiley   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

open access: yesAdvanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han   +10 more
wiley   +1 more source

First Generation Proteolysis Targeting Chimeras (PROTACs) for the Treatment of Progeria

open access: yesAdvanced Science, EarlyView.
We report the first PROTACs designed to degrade progerin, introducing a novel therapeutic approach for progeria. The best compound, UCM‐18142, significantly reduces progerin levels and improves key disease phenotypes in patient‐derived cells and in the LmnaG609G/G609G mouse model, paving the way for new treatment strategies targeting the root cause of ...
Jon Macicior‐Michelena   +5 more
wiley   +1 more source

Kinesin‐Induced Buckling Reveals the Limits of Microtubule Self‐Repair

open access: yesAdvanced Science, EarlyView.
This study shows that kinesin‐driven buckling induces extensive microtubule lattice damage that often exceeds intrinsic self‐repair and leads to filament failure. While curvature, motor motility, and force individually cause limited damage, their combination overwhelms repair.
Shweta Nandakumar   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

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