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spatial transcription dataset fresh frozen visium on cytassist: humanbreast cancer, probe-based whole transcriptome profiling  (10X Genomics)

 
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    10X Genomics spatial transcription dataset fresh frozen visium on cytassist: humanbreast cancer, probe-based whole transcriptome profiling
    Identifying npCR-associated fibroblasts by integrating proteomics and single-cell sequencing data. (A) Volcano plot of differentially expressed proteins between the pCR and npCR groups. (B) Upregulated pathways in the npCR group based on GO term enrichment analysis of differentially expressed proteins. (C–D) Uniform Manifold Approximation and Projection (UMAP) of major cell populations in our study, different colored dots represent different cell types. (E–F) The pCR and npCR phenotypes were mapped from proteomics to scRNA-seq data. (G) Pseudotime trajectories of fibroblast. (H–I) The GO/KEGG enrichment based on the GSVA algorithm. (J) <t>Transcription</t> factor regulation of npCR-related fibroblast compared with other fibroblast. (K–L) The intercellular cross-talk analysis between fibroblast and other cells in TME.
    Spatial Transcription Dataset Fresh Frozen Visium On Cytassist: Humanbreast Cancer, Probe Based Whole Transcriptome Profiling, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spatial+transcriptomic+profiling+visium/spatial+transcription+dataset+fresh+frozen+visium+on+cytassist++humanbreast+cancer++probe+based+whole+transcriptome+profiling/pmc11254208-140-1-18
    Average 90 stars, based on 1 article reviews
    spatial transcription dataset fresh frozen visium on cytassist: humanbreast cancer, probe-based whole transcriptome profiling - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "Integrative analysis identifies molecular features of fibroblast and the significance of fibrosis on neoadjuvant chemotherapy response in breast cancer"

    Article Title: Integrative analysis identifies molecular features of fibroblast and the significance of fibrosis on neoadjuvant chemotherapy response in breast cancer

    Journal: International Journal of Surgery (London, England)

    doi: 10.1097/JS9.0000000000001360

    Identifying npCR-associated fibroblasts by integrating proteomics and single-cell sequencing data. (A) Volcano plot of differentially expressed proteins between the pCR and npCR groups. (B) Upregulated pathways in the npCR group based on GO term enrichment analysis of differentially expressed proteins. (C–D) Uniform Manifold Approximation and Projection (UMAP) of major cell populations in our study, different colored dots represent different cell types. (E–F) The pCR and npCR phenotypes were mapped from proteomics to scRNA-seq data. (G) Pseudotime trajectories of fibroblast. (H–I) The GO/KEGG enrichment based on the GSVA algorithm. (J) Transcription factor regulation of npCR-related fibroblast compared with other fibroblast. (K–L) The intercellular cross-talk analysis between fibroblast and other cells in TME.
    Figure Legend Snippet: Identifying npCR-associated fibroblasts by integrating proteomics and single-cell sequencing data. (A) Volcano plot of differentially expressed proteins between the pCR and npCR groups. (B) Upregulated pathways in the npCR group based on GO term enrichment analysis of differentially expressed proteins. (C–D) Uniform Manifold Approximation and Projection (UMAP) of major cell populations in our study, different colored dots represent different cell types. (E–F) The pCR and npCR phenotypes were mapped from proteomics to scRNA-seq data. (G) Pseudotime trajectories of fibroblast. (H–I) The GO/KEGG enrichment based on the GSVA algorithm. (J) Transcription factor regulation of npCR-related fibroblast compared with other fibroblast. (K–L) The intercellular cross-talk analysis between fibroblast and other cells in TME.

    Techniques Used: Sequencing

    Related Articles

    Sequencing:

    Article Title: Integrative analysis identifies molecular features of fibroblast and the significance of fibrosis on neoadjuvant chemotherapy response in breast cancer
    Article Snippet: The spatial transcription dataset (Fresh Frozen Visium on CytAssist: HumanBreast Cancer, Probe-Based Whole Transcriptome Profiling) was retrieved from 10X Genomics ( https://www.10xgenomics.com/ ). .. T



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    10X Genomics spatial transcription dataset fresh frozen visium on cytassist: humanbreast cancer, probe-based whole transcriptome profiling
    Identifying npCR-associated fibroblasts by integrating proteomics and single-cell sequencing data. (A) Volcano plot of differentially expressed proteins between the pCR and npCR groups. (B) Upregulated pathways in the npCR group based on GO term enrichment analysis of differentially expressed proteins. (C–D) Uniform Manifold Approximation and Projection (UMAP) of major cell populations in our study, different colored dots represent different cell types. (E–F) The pCR and npCR phenotypes were mapped from proteomics to scRNA-seq data. (G) Pseudotime trajectories of fibroblast. (H–I) The GO/KEGG enrichment based on the GSVA algorithm. (J) <t>Transcription</t> factor regulation of npCR-related fibroblast compared with other fibroblast. (K–L) The intercellular cross-talk analysis between fibroblast and other cells in TME.
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    https://www.bioz.com/product/spatial+transcriptomic+profiling+visium/spatial+transcription+dataset+fresh+frozen+visium+on+cytassist++humanbreast+cancer++probe+based+whole+transcriptome+profiling/pmc11254208-140-1-18
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    spatial transcription dataset fresh frozen visium on cytassist: humanbreast cancer, probe-based whole transcriptome profiling - by Bioz Stars, 2026-10
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    Identifying npCR-associated fibroblasts by integrating proteomics and single-cell sequencing data. (A) Volcano plot of differentially expressed proteins between the pCR and npCR groups. (B) Upregulated pathways in the npCR group based on GO term enrichment analysis of differentially expressed proteins. (C–D) Uniform Manifold Approximation and Projection (UMAP) of major cell populations in our study, different colored dots represent different cell types. (E–F) The pCR and npCR phenotypes were mapped from proteomics to scRNA-seq data. (G) Pseudotime trajectories of fibroblast. (H–I) The GO/KEGG enrichment based on the GSVA algorithm. (J) Transcription factor regulation of npCR-related fibroblast compared with other fibroblast. (K–L) The intercellular cross-talk analysis between fibroblast and other cells in TME.

    Journal: International Journal of Surgery (London, England)

    Article Title: Integrative analysis identifies molecular features of fibroblast and the significance of fibrosis on neoadjuvant chemotherapy response in breast cancer

    doi: 10.1097/JS9.0000000000001360

    Figure Lengend Snippet: Identifying npCR-associated fibroblasts by integrating proteomics and single-cell sequencing data. (A) Volcano plot of differentially expressed proteins between the pCR and npCR groups. (B) Upregulated pathways in the npCR group based on GO term enrichment analysis of differentially expressed proteins. (C–D) Uniform Manifold Approximation and Projection (UMAP) of major cell populations in our study, different colored dots represent different cell types. (E–F) The pCR and npCR phenotypes were mapped from proteomics to scRNA-seq data. (G) Pseudotime trajectories of fibroblast. (H–I) The GO/KEGG enrichment based on the GSVA algorithm. (J) Transcription factor regulation of npCR-related fibroblast compared with other fibroblast. (K–L) The intercellular cross-talk analysis between fibroblast and other cells in TME.

    Article Snippet: The spatial transcription dataset (Fresh Frozen Visium on CytAssist: HumanBreast Cancer, Probe-Based Whole Transcriptome Profiling) was retrieved from 10X Genomics ( https://www.10xgenomics.com/ ).

    Techniques: Sequencing