Results 211 to 220 of about 43,150 (266)

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

open access: yesAdvanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu   +20 more
wiley   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

open access: yesAdvanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park   +7 more
wiley   +1 more source

WDR5‐H3K4me3 Epigenetic Axis Promotes TRMT6‐Dependent tRNA M1A Modification to Facilitate Triple‐Negative Breast Cancer Progression by Suppressing Ferroptosis

open access: yesAdvanced Science, EarlyView.
Upregulated TRMT6 forms aberrant hypermethylation of a specific tRNA pool and serves as a predictor of poor prognosis in TNBC. This m1A modification in tRNAs enhances translation of FTH1 and FTL, reducing the pool of bioavailable Fe2⁺. Reduced Fe2+ availability impairs RSL3‐induced lipid peroxidation and tumor progression.
Yuqing Lei   +12 more
wiley   +1 more source

A method for analysing tissue motion and deformation during mammalian organogenesis. [PDF]

open access: yesPLoS Comput Biol
Raiola M   +4 more
europepmc   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

Functional, Pharmacogenomic, and Immune Landscapes of Long Non‐Coding RNAs in Cancer

open access: yesAdvanced Science, EarlyView.
A systematic analysis of 33 cancer types reveals widespread associations between lncRNAs and cancer pathways, drug responses, immune features, and immunotherapy outcomes. The study identifies key lncRNAs linked to therapeutic response and adverse events and introduces PILNC, an interactive web portal for exploring the functional, pharmacogenomic, and ...
Runhao Wang   +15 more
wiley   +1 more source

Home - About - Disclaimer - Privacy