Results 131 to 140 of about 211,137 (291)

Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean

Advanced Science, EarlyView.
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma, Hanyu Zhao, Haojie Feng, Xulun Dong, Lin Chen, Mingliang Yang, Runyi Chen, Chengjun Lei, Chunyan Liu, Qingshan Chen, Dawei Xin, Jinhui Wang   +11 more
wiley   +1 more source

Bioprinted Tumor Microenvironment Models Reveal Immune Evasion and Guide CAR‐NK Therapeutic Strategies

Advanced Science, EarlyView.
This study presents a 3D embedded bioprinting platform that recapitulates key stromal features of the tumor microenvironment using fibroblasts and lung‐derived ECM. The model enables functional assessment of CAR‐NK cells and provides a versatile tool to support the development of next‐generation immunotherapeutic strategies against solid tumors ...
Dahong Kim, Seona Jo, In‐Hwan Jang, Yu‐Jin Kim, Youngmee Jung, Junhyoung Ahn, Hyungjun Lim, Jae Jong Lee, Kangwon Lee, Tae‐Don Kim, Su A Park   +10 more
wiley   +1 more source

Cuproptosis and Mitophagy Mediated by the THUMPD1/IGF2R‐Dependent Suppression of AKT and Activation of AMPK Signaling Suppress Lung Adenocarcinoma Progression

Advanced Science, EarlyView.
THUMPD1 drives a tumor‐suppressive signaling cascade in lung adenocarcinoma by promoting IGF2R expression. IGF2R associates with PPP2R1A to suppress AKT and activate AMPK, leading to SLC31A1 upregulation and copper accumulation. Elevated copper disrupts mitochondrial metabolism and induces excessive mitophagy, thereby restraining tumor growth and ...
Kai Wu, Bo Qin, Zhuoyu Gu, Weizheng Ding, Xiaoming Chen, Kaishang Zhang, Yujin Qiao, Shuang Yuan, Song Zhao, Xiangnan Li, Peng Zhang   +10 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A congestion prediction method based on trajectory mining algorithm

Computational Urban Science
Nowadays, number of private cars is increasing rapidly. Traffic congestion becomes a serious problem in urban region. If traffic congestion can be predicted before it happens, it will be helpful for improving traffic condition. So many traffic congestion
Liu Dongjiang, Li Leixiao, Li Jie
doaj   +1 more source

Targeting Supramolecular Active Complexes of Nav1.7/Nav1.8 to Relieve Chronic Neuropathic Pain

Advanced Science, EarlyView.
In mice and patients with severe chronic neuropathic pain (NP), Nav1.7, Nav1.8, TrkB, and five cytoskeletal proteins form supramolecular active complexes (SMACs) with polygonal lattice structures as noxious signal amplifiers in dorsal root ganglion (DRG) neurons.
Liting Sun, Hang Xian, Yunxin Shi, Taotan Yang, Hongyan Shuai, Wenchao Hu, Siying Fei, Miao Xu, Taoyuan Yang, Ruilong Xia, Ting Wen, Fengting Zhu, Yan Fu, Yang Li, Wei Xia, Ran Qian, Yuanying Liu, Zhicheng Tian, Lamei Li, Qian Zhou, Lize Xiong, Rui Cong, Ceng Luo, Shengxi Wu, Xiafeng Shen, Xin Yu, Rou‐Gang Xie, Changgeng Peng   +27 more
wiley   +1 more source

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source

A Nanobody‐LNP Platform for Targeting and Relicensing Dendritic Cells for Potent Cancer Immunotherapy

Advanced Science, EarlyView.
Plastin‐2 (PLS2) is identified as a dual‐function receptor on DCs that mediates both nanoparticle uptake and immunomodulation. A nanobody‐LNP platform is engineered to integrate antigen delivery with relicensing DCs. The therapeutic strategy elicits potent anti‐tumor T cell responses and leads to significant inhibition of established tumors in vivo ...
Shugang Qin, Zhiying Huang, Hai Huang, Yupei Zhang, Yuting Chen, Xi He, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Xiangrong Song   +9 more
wiley   +1 more source

ESCRT‐Mimetic Nanodegrader Targets STING for Anti‐Inflammatory Therapy

Advanced Science, EarlyView.
A nanoplatform‐enabled targeted protein degradation strategy is presented to regulate aberrant STING signaling. STING‐ATTEC induces selective autophagic degradation of STING via formation of a STING–ATTEC–LC3 ternary complex, while the cationic FA‐LNP+ system enhances LC3 generation and targeted delivery. Together, this synergistic approach efficiently
Fuyuan Zhou, Qiming Zhai, Zhihao Yao, Qing Li, Yan Yang, Si Wang, Chao Huang, Liangjing Xin, Tao Chen, Jinlin Song   +9 more
wiley   +1 more source