Results 131 to 140 of about 8,532,622 (278)
Heat stress promotes WNT5A secretion from fibroblasts via METTL3/YTHDC1‐dependent m6A methylation. Subsequently, WNT5A binds to FZD10 on melanocytes, activating β‐catenin‐driven melanogenesis. ABSTRACT As the impact of global warming continues to intensify, the effects of heat stress on the skin are becoming increasingly evident.
Yuanyuan Wan +13 more
wiley +1 more source
An open multi-center MEG-EEG dataset for studying conscious visual perception. [PDF]
Liu L +17 more
europepmc +1 more source
Unveiling the Taxonomic Diversity and Unprecedented Biosynthetic Treasure of the Phylum Myxococcota
Natural products remain vital sources of therapeutics, and the phylum Myxococcota constitutes an especially rich reservoir for them. Based on decades of microbiological efforts, we present 154 new Myxococcota genomes and revise taxonomy quadrupling the number of families and genera.
Amay Ajaykumar Agrawal +25 more
wiley +1 more source
PopMAG: a Nextflow pipeline for population genetics analysis based on metagenome-assembled genomes. [PDF]
Sabogal-Rodriguez D, Caro-Quintero A.
europepmc +1 more source
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
Microbial dynamics in primary and refractory apical periodontitis: Next-generation 16S rRNA sequencing reveals selective shifts and reduced diversity. [PDF]
Shivanand S +5 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
An open-access multi-site fMRI dataset for investigating conscious visual perception. [PDF]
Khalaf A +15 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

