Results 191 to 200 of about 408,677 (306)

Heat shock proteins in atrial fibrillation: from bench to bedside. [PDF]

Front Physiol
Zhang S, Wang Y, Nie L, Feng W, Zhang M, Chen Y.   +5 more
europepmc   +1 more source

CK2α Deficiency Drives Myocardial Fibrosis via Desmin‐Induced Mitochondrial Dysfunction

Advanced Science, EarlyView.
CK2α preserves mitochondrial homeostasis by phosphorylating Desmin to recruit Cryab, ensuring proper filament assembly. CK2α deficiency disrupts this interaction, causing mitochondrial dysfunction, metabolic shifts, bioenergetic failure, and oxidative stress—ultimately establishing a pro‐fibrotic environment that drives cardiac fibrosis.
Canjie Ma, Jiali Jia, Juncong Lan, Jing Wang, Dan Rao, Lanlan Rao, Weibin Zhang, Dongpeng Wu, Jie Zhang, Gang Wang, Baohua Liu, Ying Ao, Zimei Wang   +12 more
wiley   +1 more source

The Role of Heat Shock Proteins in Insect Stress Response, Immunity, and Climate Adaptation. [PDF]

Insects
Banfi D, Bianchi T, Mastore M, Brivio MF.   +3 more
europepmc   +1 more source

The RNA‐Binding Protein PARN Remodeled 3′ UTR Structure Defines Poly(A)‐Loading Sites to Mediate Immunoglobulin Homeostasis

Advanced Science, EarlyView.
ABSTRACT Class Switch Recombination (CSR) is essential for generating high‐affinity antibody isotypes from IgM during adaptive humoral responses. Despite well‐established roles for various transcription factors, whether CSR is subject to dedicated post‐transcriptional control represents a significant gap in knowledge.
Siyuan Sun, Chen Yang, Xiaoyu Wang, Naijing Hu, Shengyao Zhang, Xinchun Li, Yu Chen, Jianan Zhai, Xiangfeng Tang, Wei Lu, Chenxu Lu, Changchang Cao, Weiru Yu, Wenhao Wu, Xiaonan Nie, Fengchao Wang, Bing Fang, Fazheng Ren, Yixuan Li, Juan Chen   +19 more
wiley   +1 more source

Immuno-informatics voyage through molecular mimicry of Heat Shock Proteins: Potential IBD immunopathogenesis. [PDF]

PLoS One
Alem M, Abtahi Froushani SM, Hajighahramani N, Hosseini-Asl S, Pourfarzi F, Nemati R.   +5 more
europepmc   +1 more source

T‐Cell Exhaustion in the Tumor Microenvironment: Subcellular Dysfunction, Pan‐Cancer Characteristics, and Therapeutic Interventions

Advanced Science, EarlyView.
This study elucidates the mechanisms of subcellular multidimensional collapse in exhausted T cells. By specifically targeting the nucleus, mitochondria, and endoplasmic reticulum, strategic interventions can effectively remodel the compromised organelle network. This integrated approach drives comprehensive T cell resuscitation, ultimately establishing
Mingxing Wang, Wanhui Dong, Jian Chen, Zhangjie Zhou, Shujuan Fu, Tingting Wu, Haiyan Jiang, Zhiying Wang, Zhixian Zhong, Yi Zhong   +9 more
wiley   +1 more source

Role of heat shock proteins in renal function and adaptation to heat stress: Implications for global warming. [PDF]

World J Nephrol
Tran TTT, Tran KV, Nguyen TD, Pham NTT, Nguyen TH.   +4 more
europepmc   +1 more source

A Plug‐and‐Play Platform for Customizing Multivalent Degraders and Degrader‐Drug Conjugates

Advanced Science, EarlyView.
Membrane proteins remain challenging targets for conventional TPD approaches. Here, the authors develop UPTAB, a modular platform leveraging ultrahigh‐affinity orthogonal Im/CL protein pairs for lysosomal degradation of membrane proteins. Mono‐targeted (Type‐I), dual‐targeted (Type‐II), and tri‐targeted (Type‐III) UPTABs enable simultaneous degradation
Mengqing Zhao, Yan Deng, Jianjian Han, Yong Xie, Kai Bao, Lixin Ma, Lilong Liu, Wuxiang Mao   +7 more
wiley   +1 more source

Heat shock proteins related signature characterizes immune status and predicts prognosis of gliomas. [PDF]

Sci Rep
Sun Z, Wan H, Du M, Guo Y, Tao R, Zhao X, Zhang Y, Yang P, Zhou D.   +8 more
europepmc   +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