Results 141 to 150 of about 22,234 (230)

Lymphoid‐Tissue‐on‐Chip Recapitulates Human Antibody Responses In Vitro

open access: yesAdvanced Science, EarlyView.
The presented lymphoid‐tissue‐on‐chip system allows culture of primary human tonsil cells at organotypic high density under perfusion for up to 4 weeks, emulates immune response to soluble vaccines and vaccination via peripheral antigen‐presenting cells and represents a useful tool to assess cellular interactions during homeostasis, immune responses ...
Claudia Teufel   +15 more
wiley   +1 more source

NSUN5 Attenuates Renal Injury and Ferroptosis in Hyperuricaemic Nephropathy Through YBX2‐Dependent Stabilisation of SCD1 m5C Methylation

open access: yesAdvanced Science, EarlyView.
NSUN5 is downregulated in hyperuricaemic nephropathy. Overexpression of NSUN5 enhances the stability of SCD1 mRNA through the m5C reader YBX2, ultimately inhibiting ferroptosis in renal tubular epithelial cells. Additionally, this axis suppresses the NF‐κB signaling pathway to alleviate inflammation and upregulates ABCG2 to promote uric acid excretion,
Xiu‐xiu Song   +12 more
wiley   +1 more source

FASLG Derived from Fibroblasts in Hydroxyapatite‐Rich Microenvironment Induces Urothelial Anoikis to Trigger Randall's Plaque Exposure

open access: yesAdvanced Science, EarlyView.
Randall's plaques (RP) serve as the nidus for calcium oxalate (CaOx) kidney stones. The current study reveals that hydroxyapatite (HAP) crystals activate the THY1–GSK3α/β–β‐catenin axis in renal interstitial fibroblasts (hRIFs), inducing FASLG secretion.
Minghui Liu   +14 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

Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

open access: yesAdvanced Science, EarlyView.
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo   +3 more
wiley   +1 more source

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