Results 71 to 80 of about 132,160 (305)
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
Single‐cell RNA sequencing identifies MMP11⁺ CAFs as pro‐angiogenic cells accumulating during bladder cancer progression. These cells promote angiogenesis by regulating ESM1⁺ tip endothelial cells and recruiting SPP1⁺ macrophages. Tumor‐derived BMP2 promotes their activation.
Wuwu Xu+13 more
wiley +1 more source
FAIR-EuMon: a FAIR-enabling resource for biodiversity monitoring schemes [PDF]
Within the scope of the Helmholtz Metadata Collaboration (HMC), the ADVANCE project – Advanced metadata standards for biodiversity survey and monitoring data: supporting of research and conservation – aimed at supporting rich metadata generation with ...
Juliana Menger+7 more
doaj +3 more sources
This study integrates scRNA‐seq, multiplex immunofluorescence, and clinical data to identify HLA‐DR⁺tumor cells uniquely enriched in Hepatocellular carcinoma (HCC) with hepatitis B virus (HBV). These cells express MHC II, associate with PD‐L1, recruit and exhaust CD8⁺T cells, predict poor survival, and serve as potential biomarkers for immunotherapy ...
Jun‐Qing Chang+17 more
wiley +1 more source
Distributed Metadata with the AMGA Metadata Catalog
6 pages, 3 figures, to appear in Workshop on Next-Generation Distributed Data Management - HPDC ...
Santos, Nuno, Koblitz, Birger
openaire +2 more sources
A Machine‐Learning Approach Identifies Rejuvenating Interventions in the Human Brain
Rising life expectancy increases the incidence of age‐related neurodegeneration. Reverting brain aging through effective rejuvenation strategies constitutes a promising strategy to counteract these disorders and restore brain function. This study uses a brain‐specific transcriptional aging clock to screen over 43 000 perturbation profiles, identifying ...
Guillem Santamaria+5 more
wiley +1 more source
This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen+9 more
wiley +1 more source
Are we there yet? Evaluation of AI-generated metadata for online information resources
Introduction. Generative AI tools are increasingly used in creating descriptive metadata the quality of which is key for information discovery and support of information user tasks.
Vyacheslav Zavalin, Oksana L. Zavalina
doaj +1 more source
Web-Scale Normalization of Geospatial Metadata Based on Semantics-Aware Data Sources
Geospatial metadata are largely denormalized inasmuch as resource descriptions typically accommodate property values as plain text. Hence, it is not possible to bring multiple references to the same entity (say, a keyword from a controlled vocabulary ...
Cristiano Fugazza+3 more
doaj +1 more source
Aberrant Mitochondrial Metabolism in Alzheimer's Disease Links Energy Stress with Ferroptosis
Alves et al. reveal how energy loss and oxidative stress, two major features of Alzheimer's disease, are connected. Mitochondria controls the flux of the antioxidant glutathione (GSH), via facilitating both its production and consumption. Energy restriction limits GSH synthesis, conferring vulnerability to cell death by ferroptosis, implicated as a ...
Francesca Alves+17 more
wiley +1 more source