Results 241 to 250 of about 1,488,963 (303)

The JNK2-microbiome axis modulates gut barrier integrity through microbial acetate. [PDF]

open access: yesGut Microbes
Chongtham C   +8 more
europepmc   +1 more source

In Vivo CRISPR Screening Identifies the Glutamate Receptor GRIA2 as Promoting Peritoneal Metastasis of Gastric Cancer via Calcium‐Dependent β‐Catenin Activation

open access: yesAdvanced Science, EarlyView.
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun   +13 more
wiley   +1 more source

Regional and Sex-Dependent Immune Profiling Across the Colon in A Mouse Model of Ulcerative Colitis. [PDF]

open access: yesFASEB J
Tshikudi DM   +6 more
europepmc   +1 more source

Living Hydrogels: Harnessing Microorganism–Material Synergy for Next‐Generation Therapeutics

open access: yesAdvanced Science, EarlyView.
 . ABSTRACT Microorganism‐based therapies, particularly those utilizing probiotics, have emerged as a powerful biomedical strategy owing to their inherent living functionalities. These living systems can dynamically interact with host environments and self‐regulate their activity, offering superior adaptability, prolonged functionality, and ...
Shuifang Mao   +3 more
wiley   +1 more source

Tumor‐Derived Exosomes Deliver Membrane‐Bound Fgl2 to Activate FcγRIIB‐Mediated Immunosuppression in Myeloid‐Derived Suppressor Cells

open access: yesAdvanced Science, EarlyView.
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin   +12 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

Home - About - Disclaimer - Privacy