Results 51 to 60 of about 5,104 (213)

Circular RNA circNrip1 Interacts with SYNCRIP to Promote Neuropathic Pain by Stabilizing Tlr2 mRNA in Primary Sensory Neurons

open access: yesAdvanced Science, EarlyView.
Model of circNrip1 (cNrip1) upregulation driving neuropathic pain mechanisms. After peripheral nerve injury, increased FUS triggers the formation and upregulation of cNrip1 in injured DRG neurons. Upregulated cNrip1 recruits SYNCRIP to the 3′‐UTR of Tlr2 mRNA by binding to both, thereby promoting SYNCRIP‐triggered Tlr2 mRNA stability and increasing ...
Xiaozhou Feng   +14 more
wiley   +1 more source

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

Public Good Games with Incentives: The Role of Reputation [PDF]

open access: yes, 2009
Both the Trust Game and the Ultimatum Game reduce, in their most simplified versions, to a Public Good Game with an added incentive: namely a reward in the first case, and a sanction in the other. In this paper, the evolutionary game dynamics of these games is analyzed by means of the replicator equation.
De Silva, H., Sigmund, K.
openaire   +5 more sources

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

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

open access: yesAdvanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang   +6 more
wiley   +1 more source

MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats

open access: yesAdvanced Science, EarlyView.
The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen   +13 more
wiley   +1 more source

Public Goods Games, Altruism, and Evolution

open access: yesJournal of Public Economic Theory, 2010
AbstractI analyze the evolution of altruistic preferences in a population where individuals are matched pairwise to play a one‐shot public goods game. I determine the evolutionarily stable degree of altruism, allowing for assortative matching. The stable degree of altruism is strictly smaller than the degree of assortativity. In particular, if matching
openaire   +4 more sources

PREFERENTIAL OPPONENT SELECTION IN PUBLIC GOODS GAMES [PDF]

open access: yesAdvances in Complex Systems, 2012
This paper discusses preferential opponent selection in public goods games. It is shown that a preference to play with successful opponents strongly enhances the prevalence of cooperation. The finding is robust on spatial grids and heterogeneous networks.
openaire   +3 more sources

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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