Results 61 to 70 of about 5,802 (133)

Studying Macromolecular Composition in Cell–Cell Interfaces Using 3D Membrane Reconstitution Systems

Advanced Science, EarlyView.
A comprehensive understanding of the interactions between proteins, lipids and glycocalyx components at the immune synapse is still lacking. Here, an artificial and a semi‐artificial model contact system were established to reconstitute the cell‐cell contact in 3D. The model systems enable the examination of macromolecule enrichment or depletion at the
Franziska Ragaller, Amelie Maribel Schneider, Ellen Sjule, Renhua Sun, Xiao Han, Luca Andronico, Edward Jenkins, Michael Dustin, Adnane Achour, Erdinc Sezgin   +9 more
wiley   +1 more source

A “Hot Spring” Mimetic Aerogel Loaded with Multiple Amino Acids Modulates the Chronic Inflammatory Microenvironment Through Metabolic Reprogramming

Advanced Science, EarlyView.
The SrCuSi4O₁₀ bioceramic particles mimic the effects of hot spring therapy by increasing the local wound temperature, which enhances the absorption of amino acids and stimulates cell metabolism. The amino acid uptake supports cellular glutathione redox reactions, helping to mitigate oxidative stress.
Bo Li, Dandan Jin, Fei Li, Jianliang Shen, Jiang Chang, Chen Yang, Shixuan Chen, Yi Zhang   +7 more
wiley   +1 more source

18β‐Glycyrrhetinic Acid and a Nano‐Liposomal Formulation Alleviate Depression‐Like Behaviors via the Microglial mTOR‐Autophagy‐NLRP3 Axis

Advanced Science, EarlyView.
Using a novel zebrafish‐based inflammatory screening strategy, we screened and identified 18β‐glycyrrhetinic acid (18β‐GA) as a promising anti‐inflammatory candidate. We uncover a microglial mTOR–autophagy–NLRP3 axis that constitutes the mechanistic core of 18β‐GA–mediated neuroprotection.
Hua Gan, Haitao Yuan, Wenjun Zhu, Xiaokang Xie, Shen Zhou, Wenzhi Hao, Xiaowei Mo, Lian Yang, Xiaojuan Li, Junshan Liu, Lijuan Deng, Jiaxu Chen   +11 more
wiley   +1 more source

Additive and Partially Dominant Effects from Genomic Variation Contribute to Rice Heterosis

Advanced Science, EarlyView.
Additive and partially dominant effects, namely at mid‐parent levels or values between mid‐parent and parental levels, respectively, are the predominant inheritance patterns of heterosis‐associated molecules. These two genetic effects contribute to heterosis of agronomic traits in both rice and maize, as well as biomass heterosis in Arabidopsis ...
Zhiwu Dan, Yunping Chen, Wei Zhou, Yanghong Xu, Junran Huang, Yi Chen, Jizhou Meng, Guoxin Yao, Wenchao Huang   +8 more
wiley   +1 more source

Illuminating Mitochondrial RNA G‐Quadruplexes as Structural Brakes on RNA Granule Assembly and OXPHOS

Advanced Science, EarlyView.
A new fluorescent probe, MitoQUMA, brings mitochondrial RNA G‐quadruplexes (mtRNA G4s) into view in live cells. This tool reveals that excessive mtRNA G4 formation halts mitochondrial RNA granule (MRG) assembly, opposite to the phase‐separation role of cytoplasmic RNA G4s. A chemical genetic screen further identifies a Wnt/β‐catenin–GRSF1–mtRNA G4 axis
Gui‐Xue Tang, Jia‐Tong Yan, Mao‐Lin Li, Cui Zhou, Jian Wang, Shuo‐Bin Chen, Zhi‐Shu Huang, Jia‐Heng Tan   +7 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Decoding Structure‐Property Relationships in Anion Exchange Membranes via a Chemically Informed Dual‐Channel Graph Attention Network

Advanced Science, EarlyView.
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen, Ye Hu, Zijun Xiao, Deming Xia, Bo Pang, Xuemei Wu, Gaohong He   +6 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source