Results 141 to 150 of about 60,424 (245)

Metabolic Reprogramming in Glioblastoma Stem Cells Promotes Radiation Resistance Through a H3K18la/USP30/MBOAT2 Axis

Advanced Science, EarlyView.
LDHA‐driven lactate production in mesenchymal glioma stem cells promotes p300‐dependent H3K18 lactylation, activates USP30 transcription, and stabilizes MBOAT2 to remodel phosphatidylethanolamines toward ferroptosis‐resistant PE‐MUFA species. Disrupting this metabolic–epigenetic–lipid circuit enhances ferroptosis and sensitizes glioblastoma to ...
Zong Miao, Wei Gu, Yimin Ren, Chenfei Lu, Wanzhi Cai, Junnan Lu, Zhongyuan Bao, Yanan Zhou, Rong Li, Ke Jin, Chao Chen, Hongxiang Wang, Lei Xu, Juxiang Chen   +13 more
wiley   +1 more source

VlPAG/DRN Microglia Drive Neuropathic Pain‐Induced Depression via a Defined Neuroimmune Axis

Advanced Science, EarlyView.
Peripheral nerve injury (SNI) induces neuropathic pain, activates midbrain microglia, and triggers an NLRP3–IL‐1β–dependent inflammatory cascade. IL‐1β signals through IL‐1R1 on vlPAG/DRN VGLUT2+ neurons (vlPAG/DRNGlu), inducing hyperexcitability and driving the vlPAG/DRNGlu→BNSTGABA circuit to produce the affective component of neuropathic pain ...
Jing Yang, Bing‐Jie Tang, Jia‐Yi Li, Shu‐Lan Xie, Shumin Duan, Junping Chen, Shengmei Zhu, Zhen‐Zhong Xu   +7 more
wiley   +1 more source

Engineering Antibodies into Targeted Chimeras: From Recognition Modules to Programmable Degraders

Advanced Science, EarlyView.
Antibody can be engineered into diverse lysosome‐targeting chimeras that convert target recognition into active degradation. By coupling antibody binding with recruited receptors, encoded domains, conjugated ligands, or nanoparticle scaffolds, these antibody‐associated targeted chimeras (AbTACs) platforms direct extracellular and membrane proteins ...
Kaige Chen, Quanyin Hu
wiley   +1 more source

Comprehensive insights into potential roles of purinergic P2 receptors on diseases: Signaling pathways involved and potential therapeutics. [PDF]

J Adv Res
Guo Y, Mao T, Fang Y, Wang H, Yu J, Zhu Y, Shen S, Zhou M, Li H, Hu Q.   +9 more
europepmc   +1 more source

Multiscale Carbon‐Integrated Silicon Anode for Stable Cycling Under Practical Lithium‐Ion Battery Conditions

Advanced Energy Materials, EarlyView.
To overcome silicon anode instability, a hierarchical silicon/carbon composite fabricated from industrial waste via a scalable milling process is demonstrated. In‐depth post‐mortem analysis reveals how functional carbons—a CNT network and graphene shell—synergistically suppress degradation. This robust design delivers outstanding stability in practical
Young‐Ro Lee, Seong Chul Hong, Kyoungoh Kim, Jooha Park, Jihyeon Kim, Byungwook Kang, Youngsu Kim, Chaelin Lee, Soogyeong Son, Byungmo Cho, Junhyung Kim, Sang‐Gil Woo, Gwan‐Hyoung Lee, Kisuk Kang   +13 more
wiley   +1 more source

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

Advanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo, Eun Young Park, Chan Su Moon, Dong Gyu Lee, Junho Park, Fabian Rotermund, Gill Sang Han, Tae Kyung Lee, Nam Joong Jeon, Bong Joo Kang, Young Yun Kim   +10 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Nano‐Heterostructured TiO2‐TiO‐TiN/MoO3‐x‐Mo2N Composite LIB Anode With Enhanced Li+ Storage via Glycine‐assisted Anodization and Cathodic Deposition

Advanced Energy Materials, EarlyView.
A scalable, binder‐ and additive‐free strategy combining glycine‐assisted anodization and cathodic deposition is developed to fabricate a nano‐heterostructured composite LIB anode directly on titanium. Benefiting from its fully electrochemically active thick architecture, the anode delivers an outstanding areal capacity of 2639 µAh cm−2, nearly ...
Peng Wang, Hikaru Kaai, Jiacheng Liu, Shun Itatsu, Kohya Matsuhira, Erli Lin, Mengmeng Zhang, Shaoli Fang, Yoko Sakurai, Takashi Matsubara, Takehiko Hihara, Long Pan, Wei Zhang, ZhengMing Sun, Xiaopei Li, Song‐Zhu Kure‐Chu   +15 more
wiley   +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu, Daichi Kitaguchi, Yoichi Ninomiya, Yuya Takabe, Mitsumasa Yoshida, Masahiro Yura, Nobuyoshi Takeshita, Takahiro Kinoshita, Masaaki Ito   +8 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source