Results 161 to 170 of about 145,780 (325)

Tumor Extracellular Vesicles lncOSLMT Drives Lung Inflammatory Premetastatic Niche Formation in Osteosarcoma via m6A‐Dependent hnRNPA2B1/COX‐2 Axis

open access: yesAdvanced Science, EarlyView.
Tumor‐derived extracellular vesicles program inflammatory lung premetastatic niches through selective delivery of long noncoding RNAs. This work reveals EVs‐associated lncOSLMT as a key driver of lung fibroblast activation via m6A‐dependent PTGS2 stabilization.
Hongbo Li   +10 more
wiley   +1 more source

Nest predation processes and farmland birds

open access: yes, 2004
It is generally expected that predators affect the breeding biology of prey species, but most studies have had a prey-biased view of the predator-prey relationship. Without studying the predator, one may draw erroneous conclusions of how predators and prey interact and conservation strategies for prey species could therefore be misleading.
openaire   +1 more source

Coacervate‐Mediated Lysosome‐Targeting Antibody Delivery for Protein Degradation

open access: yesAdvanced Science, EarlyView.
Targeting coacervates to the lysosome in the cytoplasm is a challenge. Here, we convert a tetrapeptide into lysosome‐targeting, membrane‐translocating coacervates. The lysosome‐sorting peptide coacervates facilitate coacervate‐mediated delivery of antibody antigen complexes and a PROTAC compound to the lysosome for the targeted degradation of cancer ...
Dingdong Yuan   +7 more
wiley   +1 more source

Targeting WTAP/ROR1/WNT5A‐Mediated Crosstalk Between Glioma Stem Cells and Macrophages to Normalize Tumor Vasculature and Enhance Chemotherapy

open access: yesAdvanced Science, EarlyView.
In hypoxic microenvironment, WNT5A is predominantly secreted by tumor‐associated macrophages. Hypoxia‐induced WTAP mediates ROR1 stability by m6A modifications in a HuR‐dependent manner in Glioma stem cells (GSCs). WNT5A activates the WNT pathway via ROR1 binding on GSCs, driving glioma‐derived endothelial cells (GDECs) differentiation.
Xiaoyong Chen   +15 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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