Results 161 to 170 of about 845,859 (278)

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

Advanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang, Jie Zhu, Zequn Ding, Zhiyuan Xie, Xingchen Liu, Feihong Zhang, Xiaojun Liu, Yan Zhang, Haiyan Chen   +8 more
wiley   +1 more source

Red Blood Cells Internalize Extracellular DNA via Apoptotic Bodies with Clinical Relevance to Cancer Patients

Advanced Science, EarlyView.
Mature red blood cells (RBCs) can capture extracellular DNA, with short fragments homologous to cfDNA. This uptake is mediated by apoptotic bodies, which induce RBC oxidative stress, deformation, and accelerated in vivo clearance. The rbcDNA abundance correlates with tumor burden and therapeutic response, highlighting its potential as a liquid biopsy ...
Zihang Zeng, Zongbi Yi, Jing Hu, Jiali Li, Yu Xu, Xiuli Guo, Qian Ji, Kaixiang Feng, Ying Zhang, Sirui Bai, Yushuang Tan, Yufei Yan, Linzhi Han, Jing Jiang, Tengfei Wang, Xiang Wang, Ziqing Zhan, Ruiying Huang, Jinfang Zhang, Conghua Xie, Binghe Xu   +20 more
wiley   +1 more source

An Opto‐Actuated Hydrogel for Cell Mechanoactuation and Real‐Time Force Monitoring

Advanced Science, EarlyView.
Researchers developed a mechanoactuated hydrogel interface where nanomachines exert forces on adhesion receptors and allow monitoring of traction force responses in real time. They demonstrate reversible talin recruitment, enhanced F‐actin polymerization, and a reduction in cell traction force when force is locally applied to focal adhesions of ...
Rinku Kumar, Marc A. Fernandez‐Yague, Adrien Bessaguet, Hosoowi Lee, Nicolas Giuseppone, Andrés J. García, Aránzazu del Campo   +6 more
wiley   +1 more source

A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness

Advanced Science, EarlyView.
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger, Paolo Cardone, Charlotte Martial, Yonatan Sanz Perl, Iván Mindlin, Jacobo D Sitt, Leor Roseman, Robin Carhart‐Harris, David Nutt, Pablo Mallaroni, Natasha Mason, Johannes G Ramaekers, Vincent Bonhomme, Steven Laureys, Gustavo Deco, Olivia Gosseries, Pablo Núñez, Jitka Annen   +17 more
wiley   +1 more source

The Mitochondrial Guardian α‐Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK‐SARM1‐ULK1 Axis

Advanced Science, EarlyView.
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao, Juan Ignacio Jiménez‐Loygorri, Yunguang Qiu, You Jung Kang, Khanh Van Do, Annabel E. Smith, Junjie Huang, Jun‐ping Pan, Lipeng Mao, Ang Li, Hangge Yang, Yahyah Aman, Maria Jose Donate Lagartos, Sofie Hindkjær Lautrup, Anbin Chen, Kristina Xiao Liang, Hailong Zhang, Juan Yi, Xurui Jin, Tin Cho Cheung, Olympia Apokotou, Florentia Papastefanaki, Rebecca Matsas, William A. McEwan, Feixiong Cheng, Hansang Cho, Guobing Chen, Huanxing Su, Konstantinos Palikaras, Oscar Junhong Luo, Qian Hua Zhao, Ding Ding, Cornelia van Duijn, Nektarios Tavernarakis, Patricia Boya, Tewin Tencomnao, Evandro F. Fang   +36 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

Modulating Purothionin Accumulation and Signal Peptide Cleavage Fine‐Tunes Wheat Flour Gluten Properties to Improve Cookie‐Making Quality

Advanced Science, EarlyView.
Dual genetic strategies for improving wheat processing quality by regulating purothionin accumulation to modulate gluten quantity and quality. The first strategy involves targeting signal peptide (SP) cleavage sites (e.g., through mutation) to indirectly reduce gluten content, thereby disrupting gluten network formation.
Yijie Liu, Siyuan Chang, Zhaoheng Zhang, Tianqi Kang, Mingde Liu, Yuan Zong, Fei Ni, Yinguang Bao, Ruijie Zhang, Xiaobang Zhang, Jinkun Du, Mingming Xin, Zhaorong Hu, Jie Liu, Zhongfu Ni, Qixin Sun, Yingyin Yao   +16 more
wiley   +1 more source

Kernel Choice for Unsupervised Kernel Methods

Kernel Choice for Unsupervised Kernel Methods
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openaire  

Quasi‐Periodic Porous Structures‐Based Temperature and Pressure Dual‐Mode Electronic Skin for Material Cognition

Advanced Science, EarlyView.
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu   +5 more
wiley   +1 more source