Results 51 to 60 of about 743,363 (220)

Tumor‐Intrinsic ARHGEF3 Enhances Antitumor Immunity by Promoting T‐Cell Infiltration and Limiting Myeloid Cell‐Mediated Immunosuppression

Advanced Science, EarlyView.
ARHGEF3 is broadly downregulated across human cancers and correlates with patient prognosis. Tumor‐intrinsic ARHGEF3 activates the RHOA–ROCK–PTEN cascade to inhibit AKT signaling, thereby promoting chemokine‐driven T‐cell infiltration and relieving lipid‐mediated myeloid immunosuppression.
Yue Li, Lan Wang, Zihao Zhang, Chunmei Qian, Ning Li, Wei Huang, Qian Ba, Xiaojian Liu, Mayu Sun   +8 more
wiley   +1 more source

Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2

Advanced Science, EarlyView.
Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu, Jingbo Bai, Yali Yang, Shifeng Qian, Xiaotian Wang, Zhuhong Liu   +5 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

IKKβ and USP28 Regulate HEY1 Stability to Promote Cancer Stemness and Immune Evasion in Hepatocellular Carcinoma

Advanced Science, EarlyView.
The uncovered IKKβ‐USP28‐HEY1 axis fuels cancer stemness and immune evasion in hepatocellular carcinoma. USP28 deubiquitinates HEY1 upon IKKβ‐mediated phosphorylation, conferring PD‐1/PD‐L1 blockade resistance. Pharmacological inhibition of USP28 sensitizes resistant tumors to anti‐PD‐1 immunotherapy, revealing a promising therapeutic strategy ...
Na Shao, Lin Zhang, Gufang Shen, Yangfan Lv, Tianshu Fang, Ya Cao, Qiongyi Zhang, Feng Xu, Chungang Liu   +8 more
wiley   +1 more source

CCT2 Promotes Prostate Cancer Progression Through EIF3F‐Dependent Stabilization of FASN

Advanced Science, EarlyView.
ABSTRACT Prostate cancer (PCa) is increasingly recognized to be driven by dysregulated lipid metabolism. Although fatty acid synthase (FASN) is highly expressed in PCa, the mechanisms governing FASN protein stability and its functional integration into oncogenic lipid metabolism remain poorly defined.
Shun Xu, Yifan Zhang, Haolin Li, Shengyu Zhao, Xiaoran Dai, Qili Xu, Mintian Fei, Chun Li, Zhihui Zou, Baojun Wang, Li Zhang, Hui Wang, Ligang Zhang, Chaozhao Liang   +13 more
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Tumor‐Specific Delivery of CD28 siRNA via Lyso‐PC C‐16 Modified Lipid Nanoparticles Overcomes Anti‐PD‐1 Resistance by Remodeling Tumor Microenvironment

Advanced Science, EarlyView.
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai, Keyu Wang, Jiali Fang, Shaorui Jia, Yansong Shi, Wanfeng Gao, Xinpeng Liu, Jiaqiang Li, Zenghui Cui, Yazhi Qian, Xiaosu Chen, Dan Ding, Xuetao Cao   +12 more
wiley   +1 more source