Results 131 to 140 of about 13,834 (194)

mTORC2 Phosphorylation of GSDME‐N Drives Cullin4B‐Mediated Proteasomal Degradation to Suppress Pyroptosis and Confer Radioresistance in Small Cell Lung Cancer

Advanced Science, EarlyView.
Radioresistance severely limits the efficacy of therapies for small cell lung cancer (SCLC). This study reveals a novel mechanism of resistance driven by the active suppression of pyroptosis. Specifically, the mTORC2 complex directly phosphorylates GSDME‐N and promotes its CUL4B‐mediated ubiquitination and proteasomal degradation.
Qing‐qing Xu, Ci‐ming Sun, Sui‐xian Zhang, Rui Li, Chen‐fei Wu, Zai‐shan Lin, Li Li, Run‐zhe Chen, Qi‐wen Li, Yuan‐yuan Chen, Xuan Li, Ming Chen   +11 more
wiley   +1 more source

Quantifying and Adjusting for Verification Bias in Diagnostic Test Accuracy Studies with Conditional Reference Standards

Hudak V, Welton NJ, Derezea E, Jones HE.
europepmc   +1 more source

Multimorbidity and functioning disparities in retired older adults: longitudinal trajectories, disease clusters, and mediating mechanisms. [PDF]

BMC Geriatr
Ojijieme NG, Xiao L.
europepmc   +1 more source

KRT14 Drives Basal Muscle‐Invasive Bladder Cancer Progression and Lung Metastasis by Directly Binding to and Stabilizing IGF2BP1

Advanced Science, EarlyView.
We identified a Krt14+ Igf2bp1+ bladder cancer population linked to EMT. Mechanistically, KRT14 stabilizes and transports IGF2BP1 to invasive protrusions, initiating a positive feedback loop that drives metastasis and poor outcomes. ABSTRACT Basal‐type muscle‐invasive bladder cancer (BMIBC) is characterized by aggressive metastasis and poor prognosis ...
Shirui Huang, Zhihan Zhou, Qipeng Xie, Zheng Wang, Lijiong He, Yutong Liu, Lijuan Huang, Liuxian Ye, Limeng Hu, Baokun Li, Yang Wang, Xiaohui Hua, Xuelei Liu, Yunping Zhao, Jingxia Li, Jinfei Chen, Guiying Wang, Xian Shen, Wei Chen, Chuanshu Huang   +19 more
wiley   +1 more source

Consistent multiscale modelling of movement and habitat selection. [PDF]

J Math Biol
Blackwell PG.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Identifying core adverse health outcomes for frailty assessment in older adults using administrative data. [PDF]

Front Med (Lausanne)
Silan M, Nicolaio M, Banzato E, Boccuzzo G.   +3 more
europepmc   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Tree-Hillclimb Search: An Efficient and Interpretable Threat Assessment Method for Uncertain Battlefield Environments. [PDF]

Entropy (Basel)
Zeng Z, Peng J, Feng Q.
europepmc   +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