Results 261 to 270 of about 883,011 (303)
This study develops a nested resampling machine learning framework to establish the Immune Glioma Survival Signature (IGLoS), which stratifies glioma patients and predicts immunotherapy resistance. Multi‐omics analyses reveal TRAF3IP3 as a pivotal regulator of PD‐L1 expression and T‐cell exhaustion via ERK‐NFATC2 signaling.
Yanbo Yang+15 more
wiley +1 more source
The authors have discovered that intracellular interleukin 1 receptor 2 (IL1R2) negatively regulates pyroptosis and inflammation by inhibiting glycolysis in sepsis. Soluble IL1R2 is released from macrophages undergoing pyroptosis. IL1R2 acts as a novel negative regulator of glycolysis by interacting with enolase 1 (ENO1), thereby inhibiting gasdermin D
Chuyi Tan+13 more
wiley +1 more source
PFKFB2‐Driven Glycolysis Promotes Dendritic Cell Maturation and Exacerbates Acute Lung Injury
Paraquat (PQ) or lipopolysaccharide (LPS) exposure activates the HIF‐1α–PFKFB2 pathway, driving glycolysis in dendritic cells (DCs). This metabolic shift enhances DC maturation and immune activation, exacerbating acute lung injury (ALI). This study demonstrates that PFKFB2‐driven glycolytic reprogramming in DCs plays a critical role in the pathogenesis
Ding Yuan+17 more
wiley +1 more source
Genomic Variation Underpins Genetic Divergence and Differing Salt Resilience in Sesbania bispinosa
Sesbania, a leguminous halophyte, thrives in saline soils. Comparative genomics reveals key genomic variations—particularly chromosomal inversions—are identified as contributors to population differentiation and salt resilience. These findings advance the understanding of genomic variation driving evolution and phenotypic differentiation and offer ...
Gai Huang+13 more
wiley +1 more source
Drug Resistance Predictions Based on a Directed Flag Transformer
CAPTURE, a deep learning framework combining structural and sequence data to predict drug‐resistant Mpro mutations, revealing that PAXLOVID use may be accelerating resistance—supporting real‐time viral surveillance and therapeutic design. Abstract The evolving SARS‐CoV‐2 virus threatens global public health, particularly with potential resistance to ...
Dong Chen+8 more
wiley +1 more source
This study extensively characterizes the B cell response of rainbow trout (Oncorhynchus mykiss) in response to red mark syndrome (RMS). This disease, suspected to be caused by a Midichloria‐like organism (MLO), induces skin lesions in the infected animals, characterized by a massive influx of IgM+ B cells.
J Germán Herranz‐Jusdado+10 more
wiley +1 more source
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai+8 more
wiley +1 more source
Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery
Machine Learning (ML) is revolutionizing cancer nanomedicine by optimizing nanoparticle (NP) design and drug delivery. This review summarizes ML applications across all stages of NP drug delivery, along with a discussion of ongoing challenges and future directions.
Qingquan Wang+5 more
wiley +1 more source
Inhibition of RNase to Attenuate Fungal‐Manipulated Rhizosphere Microbiome and Diseases
Fusarium graminearum uses its virulence effector Fg12, a fungal RNase, to manipulate the host rhizosphere microbiome and promote infection. Guanosine monophosphate (GMP) blocks Fg12's RNase activity. This reveals a key pathogen‐microbiota interaction mechanism and proposes GMP as a targeted strategy to disarm this core fungal effector, offering a ...
Bo Yang+13 more
wiley +1 more source