Results 191 to 200 of about 11,725 (285)

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

A Prussian Blue Nanozyme‐Adjuvanted Vaccine Presenting Phosphocholine Antigens for Induction of Immunotolerance in Inflammatory Bowel Disease

open access: yesAdvanced Science, EarlyView.
This study developed a novel nano‐vaccine (Ferritin‐PC@PBNZs) comprising a ferritin‐based scaffold for the multivalent display of phosphorylcholine (PC) antigens, integrated with Prussian blue nanozymes (PBNZs) as a potent adjuvant. By leveraging the ferritin carrier for high‐density and ordered antigen display, the nano‐vaccine significantly augments ...
Jingyi Sheng   +6 more
wiley   +1 more source

Photocatalytic Micro/Nanomotors Functioning in the Near‐Infrared Window for Biomedical Applications

open access: yesAdvanced Science, EarlyView.
This review focuses on near‐infrared responsive photocatalytic micro/nanomotors based on inorganic materials, with particular emphasis on minimally invasive biomedical applications. It discusses material strategies for achieving near‐infrared responsiveness, including heterostructure construction, upconversion nanoparticle integration, defect ...
Yufen Chen   +2 more
wiley   +1 more source

Preserved efficacy of lyophilized SARS-CoV-2 mRNA vaccine incorporating novel ionizable lipids after one year at 25 °C. [PDF]

open access: yesNPJ Vaccines
Mata E   +24 more
europepmc   +1 more source

GPX4 Inhibitor Resistance and Metastatic Features in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
This study establishes breast cancer cell lines that are resistant to glutathione peroxidase 4 inhibitors (GPX4i) in vitro and investigates the metastatic capacity of the GPX4i‐resistant versus parental lines in vivo. GPX4i‐resistant cells survive upon intravenous injection, but lose capacity to spontaneously metastasize.
Marie Sabatier   +16 more
wiley   +1 more source

FomA‐Containing Outer Membrane Vesicles of Fusobacterium Nucleatum Facilitate Bladder Cancer Lymphatic Metastasis via IL‐6‐Dependent M2b Macrophage Polarization

open access: yesAdvanced Science, EarlyView.
Urinary Fusobacterium nucleatum–derived outer membrane vesicles are shown to promote bladder cancer lymphatic metastasis. The vesicle protein FomA activates TLR2/NF‐κB signaling in tumor cells, induces IL‐6 secretion, and drives M2b macrophage polarization and VEGF‐C–dependent lymphangiogenesis, revealing a microbiota‐driven mechanism linking tumor ...
Wentai Shangguan   +17 more
wiley   +1 more source

Rational design and modular synthesis of biodegradable ionizable lipids via the Passerini reaction for mRNA delivery. [PDF]

open access: yesProc Natl Acad Sci U S A
Xu Y   +8 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar   +3 more
wiley   +1 more source

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