Results 161 to 170 of about 50,869 (311)

Extracellular Vesicle‐Transferred ATP‐Citrate Lyase Induces Monocyte Differentiation Toward Tumor‐Associated Macrophages and Fuels Hepatocellular Carcinoma Progression

open access: yesAdvanced Science, EarlyView.
Hepatocellular carcinoma (HCC)‐derived extracellular vesicles (EVs) enrich the metabolic enzyme ATP‐citrate lyase (ACLY). EV‐transferred ACLY enhances palmitate biosynthesis, increases the S‐palmitoylation and stability of multiple immune checkpoint proteins, augments the cellular immunosuppressive activity, and ultimately accelerates the malignant ...
Zhijun Liu   +11 more
wiley   +1 more source

Ice Caves

open access: yes, 1959
Visitors inside Ice Caves near Grants, N.M.; Ice Caves near Grants, New Mexico.; Scenery - Ice ...
New Mexico. Department of Tourism
core  

Surface geoenvironments shape organic matter inputs in iron-ore caves of Carajás, southeastern Amazonia. [PDF]

open access: yesPLoS One
Reis LS   +6 more
europepmc   +1 more source

Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
Immune‐enriched pancreatic cancer does not confer a significant survival advantage. SAHA sensitizes these “hot” tumors to chemoimmunotherapy by disrupting a FASN/PARP9‐driven “metabolic trap” and enhancing CD8+ T cell function. A CD8high/FASNhigh/PARP9high signature identifies patients who are most likely to benefit from the “gemcitabine‐nivolumab‐SAHA”
Chen Chen   +13 more
wiley   +1 more source

Metal levels in bat guano from Brazilian caves: insights into environmental contamination. [PDF]

open access: yesEnviron Monit Assess
da Silva KBO   +4 more
europepmc   +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

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

open access: yesAdvanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang   +3 more
wiley   +1 more source

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