Results 191 to 200 of about 1,594,605 (248)

Nanozymes for Energy and Environmental Sustainability

open access: yesAdvanced Science, EarlyView.
At present, the widely used nanozymes are oxidoreductase and hydrolase, which have proved to have great application prospects in energy and environment. ABSTRACT Nanozymes have shown remarkable promise in addressing pressing challenges in energy and environmental sustainability.
Xiaoqi Li, Jinxing Chen, Shaojun Dong
wiley   +1 more source

Nitrogen‐Boosted H2O2 Production of Arginine‐Polyphenol Nanozyme Drives Oxidative Eustress for Hair Regeneration

open access: yesAdvanced Science, EarlyView.
PEA nanoenzymes are assembled from L‐arginine and EGCG. The nitrogen element in arginine enhances the thermodynamic feasibility of H2O2 production through PEA's oxygen reduction catalysis, enabling nitrogen‐dependent H2O2 release. Intradermal delivery of PEA via microneedles promotes efficient H2O2 synthesis, thereby stimulating regrowth in telogen ...
Yifei Wang   +7 more
wiley   +1 more source

Humanized and Charge‐Optimized CSPG4‐Specific CAR‐T Cells show Enhanced Efficacy against Head and Neck Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
CSPG4 is identified as a high‐value, stemness‐associated target in HPV‐negative HNSCC. By implementing rational biophysical engineering, a humanized and charge‐optimized CAR is developed to overcome tonic signaling‐induced exhaustion. This strategy induces a profound transcriptomic shift toward a rejuvenated, stem‐like memory state, significantly ...
Xiang Xu   +13 more
wiley   +1 more source

Detection of margin positivity in breast cancer using fluorescence and diffuse reflectance imaging. [PDF]

open access: yesJ Taibah Univ Med Sci
Basu A   +6 more
europepmc   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

open access: yesAdvanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang   +9 more
wiley   +1 more source

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