Results 221 to 230 of about 32,045 (253)

A Non‐Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development

open access: yesAdvanced Science, EarlyView.
SMAD4 is identified as a guardian of 3D genome architecture in lung squamous cell carcinoma. Loss of SMAD4 unleashes EP300 at chromatin loop anchors, strengthening enhancer–promoter looping and H3K27ac at the SOX2 locus to drive aberrant SOX2 activation and tumor cell proliferation.
Qian Tang   +33 more
wiley   +1 more source

Imaging‐Guided Live Single‐Cell Lipid Profiling of Leader and Follower Cellsduring Collective Migration of Triple‐Negative Breast Cancer Cells

open access: yesAdvanced Science, EarlyView.
Integrated single‐cell mass spectrometry reveals distinct lipidomic signatures that differentiate leader and follower phenotypes in migratory breast cancer cells. Phenotype‐specific alterations across various lipid classes, including fatty acids and phosphatidylcholines, underpin functional heterogeneity.
Xiaoyue Huang   +6 more
wiley   +1 more source

Engineered Exosomal miR‐146a‐5p Reprograms BMSC Fate and Restores Mitochondrial Homeostasis in Glucocorticoid‐Induced Osteonecrosis of Femoral Head

open access: yesAdvanced Science, EarlyView.
Exosomal miR‐146a‐5p is identified as a pivotal regulator in steroid‐induced osteonecrosis. Its reduction activates NF‐κB signaling, compromises mitophagy, and disrupts mitochondrial bioenergetics, resulting in autophagic disequilibrium. Engineered exosomes delivering miR‐146a‐5p reinstate mitochondrial function, augment oxidative phosphorylation and ...
Zehui Lv   +13 more
wiley   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

open access: yesAdvanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu   +6 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

open access: yesAdvanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su   +13 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

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