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data seg y integrated multichannel seismic profiler dataset  (Mendeley Ltd)

 
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    Mendeley Ltd data seg y integrated multichannel seismic profiler dataset
    Data Seg Y Integrated Multichannel Seismic Profiler Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+integration/data+dataset+integrated+multichannel+profiler+seg+seismic+y/pmc13200035-131-1-0
    Average 86 stars, based on 1 article reviews
    data seg y integrated multichannel seismic profiler dataset - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    other:

    Article Title: Integrated multichannel seismic profiler dataset from the southeastern apulia continental margin (Otranto Channel, Southern Adriatic Sea): Insights into fault-controlled gas seeps and geo-hazards
    Article Snippet: Mendeley Data SEG-Y Integrated Multichannel Seismic Profiler Dataset from the Southeastern Apulia Continental Margin (Otranto Channel, Southern Adriatic Sea) (Original data)



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    Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

    Journal: Frontiers in Immunology

    Article Title: The inhibitory effect of hepatic cancer energy metabolism on immune checkpoint therapy: perspectives from single-cell multi-omics analysis

    doi: 10.3389/fimmu.2026.1753670

    Figure Lengend Snippet: Single-cell analysis of HCC TME and hepatocyte metabolic reprogramming. (A) UMAP dimensionality reduction plot showing 22 initial cell clusters. (B) Annotation of 7 major cell populations based on established marker genes. (C) Expression patterns of CD274 (PD-L1) and CTLA4 in various cell types before and after immunotherapy. (D) Cellular composition across samples. Sample H68 exhibits the highest proportion of Hepatocytes. (E) UMAP plot of hepatocyte subclustering analysis based on metabolic-related gene expression profiles, identifying 5 subpopulations (clusters 0-4). Cluster 1 is significantly enriched in post-treatment samples. (F) KEGG pathway enrichment analysis reveals functional clustering of hepatocyte subpopulations (clusters 0-4). (G) Hierarchical clustering of significantly enriched pathways within these clusters. (H) Expression patterns of core genes within the Pyruvate metabolism pathway across the five hepatocyte subpopulations. Genes in this pathway exhibit significantly elevated expression in Cluster 1.

    Article Snippet: Integrated single-cell RNA-seq data (GEO, Mendeley) were analyzed using Seurat, AUCell, pySCENIC, CellChat, and Monocle.

    Techniques: Single-cell Analysis, Marker, Expressing, Gene Expression, Functional Assay