Results 101 to 110 of about 2,358,953 (205)
Large‐Scale Plasma Proteomics to Profile Pathways and Prognosis of Chronic Pain
This study delineates both common and site‐specific proteins linked to various chronic pain conditions, elucidating their implications across molecular pathways and health status. These findings, particularly those proteins with genetic causal links to pain or predictive capabilities, have the potential to significantly benefit both research and ...
Ze‐Yu Li+17 more
wiley +1 more source
This study provides support for the immunity debt hypothesis, revealing a 131.72% increase in influenza rates during winter and a 161.23% rise in summer, 1 year following the global easing of COVID‐19 restrictions. This study offers empirical evidence of immunity debt on a global level, highlighting the importance of incorporating this concept into the
Li Chen+6 more
wiley +1 more source
UniMap introduces a novel multiselective adversarial network that functions as a discerner in single‐cell dataset integration. It enables type‐level integration, ensuring accurate cell type annotation across diverse biological contexts while preserving shared and domain‐specific features.
Haitao Hu+11 more
wiley +1 more source
Delivery of A Chemically Modified Noncoding RNA Domain Improves Dystrophic Myotube Function
CYTOR is a pro‐myogenic ncRNA in skeletal muscle. Here, chemical probing of CYTOR, coupled with functional cellular assays identifies exon 2 as an independent myogenic RNA domain. Chemical engineering of CYTOR exon 2 RNA improves pharmacologic properties, including RNA stability and cell‐autonomous immunogenicity.
Zeinabou Niasse‐Sy+6 more
wiley +1 more source
scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu+7 more
wiley +1 more source
RDA COVID-19 Guidelines and Recommendations [PDF]
Chue Hong, Neil P+1 more
core +1 more source
A Knowledge‐Guided Graph Learning Approach Bridging Phenotype‐ and Target‐Based Drug Discovery
Knowledge‐Guided Drug Relational Predictor (KGDRP), a graph representation learning approach, effectively integrates multiple omics data, including biological network data, gene expression data, and sequence data that incorporates chemical molecular structures.
Qing Ye+10 more
wiley +1 more source
This study aimed to investigate the impact of the COVID‐19 pandemic on colorectal cancer treatment in Japan, that was not fully understood. The COVID‐19 pandemic has reduced the number of colonoscopies and surgeries for colorectal cancer and hindered the detection of asymptomatic early‐stage cancers.
Masaaki Miyo+20 more
wiley +1 more source
Cubic Phase‐Inducible Zwitterionic Phospholipids Improve the Functional Delivery of mRNA
In this study, a chemically engineered zwitterionic phospholipids derived from 1,2‐dioleoyl‐3‐sn‐glycero‐phosphoethanolamine (DOPE), DOPE‐Cx, are designed. The DOPE‐Cx lipids induce a cubic phase upon mixing with phosphatidylcholine, facilitate membrane fusion‐mediated endosomal escape, and enhance the functional delivery of mRNA.
Kazuki Iwakawa+5 more
wiley +1 more source
Graphic illustration showing the strategic approaches based on the currently investigated evidence of psychedelics that suggests the challenges and how to address the prescription of mental disorders. These applicable avenues may provide substantial insight into distinguishing between brain networks and psychedelics.
Sung‐Hyun Kim+5 more
wiley +1 more source