Results 41 to 50 of about 12,982 (211)

Targeting Lactate‐Driven Stromal Autophagy via MCT1 Disrupts the Immunosuppressive Niche and Sensitizes Pancreatic Cancer to PD‐1 Blockade

Advanced Science, EarlyView.
Tumor‐derived lactate activates PSCs through MCT1‐mediated Vps34 lactylation and autophagy. These activated PSCs secrete CXCL9/10, upregulating PD‐1 on CD8+ T cells via the CXCR3/STAT3 axis to foster immunosuppression. Disrupting this metabolic crosstalk by targeting MCT1 effectively sensitizes pancreatic cancer to PD‐1 blockade, presenting a promising
Wenfeng Zhuo, Rong Hu, Yuhang Hu, Ping Hu, Shengbo Han, Guozheng Lv, Zhu Zeng, Yong Zhao, Yang Li, Yan Huang, Yingsong Zhao, Hongda Wang, Guangyu Zhao, Eryang Zhao, Gang Zhao   +14 more
wiley   +1 more source

Herbicide Metabolic Resistance in Poaceae Plants via the GA‐GID1/DELLA‐DOF2‐P450s Module

Advanced Science, EarlyView.
Plant hormone signaling modulates herbicide resistance in Echinochloa crus‐galli. The GA–DELLA–DOF2 cascade directly activates P450 detoxification genes in two Poaceae species, uncovering a core mechanism of metabolic herbicide resistance. ABSTRACT Barnyard grass (Echinochloa crus‐galli) is one of the world's most important weeds, and the evolution of ...
Junzhi Wang, Jiale Qi, Lin Wei, Qin Yu, Zhongyuan Liu, Lianyang Bai, Lang Pan   +6 more
wiley   +1 more source

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +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

K-Domain Technology: Constitutive Expression of a Blueberry Keratin-Like Domain Mimics Expression of Multiple MADS-Box Genes in Enhancing Maize Grain Yield

Frontiers in Plant Science, 2021
MADS-box genes are considered as the foundation of all agronomic traits because they play essential roles in almost every aspect of plant reproductive development.
Guo-qing Song, Xue Han
doaj   +1 more source

Magnetic field‐assisted concentration swing adsorption for CO2 capture over Fe3O4/fibrous nanosilica‐PEI adsorbent

AIChE Journal, EarlyView.
Abstract Magnetic field‐assisted concentration swing adsorption (CSA) provides an electrification‐compatible alternative to conventional temperature swing adsorption (TSA) by enabling rapid heating/cooling and energy‐efficient regeneration under near‐isothermal conditions, thereby eliminating the need for sensible heat input.
Xiaohao Jia, Fateme Rezaei
wiley   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Genome-wide identification of a MADS-box transcription factor family and their expression during floral development in Coptis teeta wall

BMC Plant Biology
Background MADS-box transcription factors have been shown to be involved in multiple developmental processes, including the regulation of floral organ formation and pollen maturation. However, the role of the MADS-box gene family in floral development of
Shao-Feng Duan, Ji-Chen Yu, Timothy Charles Baldwin, Yuan Yuan, Gui-Sheng Xiang, Rui Cui, Yan Zhao, Xin-Chun Mo, Ying-Chun Lu, Yan-Li Liang   +9 more
doaj   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

Genome-wide characterization of the MADS-box gene family in radish (Raphanus sativus L.) and assessment of its roles in flowering and floral organogenesis

Frontiers in Plant Science, 2016
The MADS-box gene family is an important transcription factor (TF) family that is involved in various aspects of plant growth and development, especially flowering time and floral organogenesis.
Chao Li, Yan Wang, Liang Xu, Shanshan Nie, Yinglong Chen, Dongyi Liang, Xiaochuan Sun, Benard Kinuthia Karanja, Xiaobo Luo, Liwang Liu   +9 more
doaj   +1 more source