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spatial transcriptome sequencing data  (10X Genomics)

 
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    10X Genomics spatial transcriptome sequencing data
    Spatial Transcriptome Sequencing Data, 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+transcriptome+sequencing+data/spatial+transcriptomic+data/pm40532600-90-2-9
    Average 90 stars, based on 1 article reviews
    spatial transcriptome sequencing data - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Sphingosine-1-phosphate stimulates colorectal cancer tumor microenvironment angiogenesis and induces macrophage polarization via macrophage migration inhibitory factor
    Article Snippet: Spatial transcriptome data for a sample of primary CRC tumor tissue was downloaded from 10X Genomics Software ( https://www.10xgenomics.com/ ) ( ).

    Article Title: Ectopic expression of GDF15 in cancer-associated fibroblasts enhances melanoma immunosuppression via the GFRAL/RET cascade.
    Article Snippet: The spatial transcriptome dataset was obtained from https:// www.10xgenomics.com/resources/datasets/human-melanoma-if-stained-ffpe2-standard.

    Article Title: Landscape analysis of matrix metalloproteinases reveals key prognostic markers for prostate cancer
    Article Snippet: Spatial transcriptomic data from one prostate cancer patient were acquired through the 10x Genomics platform ( https://www.10xgenomics.com/ ).

    Immunofluorescence:

    Article Title: Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.
    Article Snippet: The spatial transcriptome data and immunofluorescence staining of formalin-fixed, paraffin-embedded, human malignant melanoma tissue were obtained from the 10x Genomics website (https:// www.10xgenomics.com/resources/datasets). .. The spatial transcriptome data and immunofluorescence staining of formalin-fixed, paraffin-embedded, human malignant melanoma tissue were obtained from the 10x Genomics website (https:// www.10xgenomics.com/resources/datasets). ..

    Staining:

    Article Title: Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.
    Article Snippet: The spatial transcriptome data and immunofluorescence staining of formalin-fixed, paraffin-embedded, human malignant melanoma tissue were obtained from the 10x Genomics website (https:// www.10xgenomics.com/resources/datasets). .. The spatial transcriptome data and immunofluorescence staining of formalin-fixed, paraffin-embedded, human malignant melanoma tissue were obtained from the 10x Genomics website (https:// www.10xgenomics.com/resources/datasets). ..

    Formalin-fixed Paraffin-Embedded:

    Article Title: Alterations in PD-L1 succinylation shape anti-tumor immune responses in melanoma.
    Article Snippet: The spatial transcriptome data and immunofluorescence staining of formalin-fixed, paraffin-embedded, human malignant melanoma tissue were obtained from the 10x Genomics website (https:// www.10xgenomics.com/resources/datasets). .. The spatial transcriptome data and immunofluorescence staining of formalin-fixed, paraffin-embedded, human malignant melanoma tissue were obtained from the 10x Genomics website (https:// www.10xgenomics.com/resources/datasets). ..

    Expressing:

    Article Title: Multi-Omics Pan-Cancer Profiling of HSD17B10 Unveils Its Prognostic Potential, Metabolic Regulation, and Immune Microenvironment Interactions.
    Article Snippet: .. To further explore the spatial expression of HSD17B10, spatial transcriptome data for glioma were sourced from the official 10xGenomics website [22]. ..

    Sequencing:

    Article Title: Multi-omics reveals the polyethylene terephthalate carcinogenicity: Cancer progression and immune microenvironment.
    Article Snippet: .. We obtained spatial transcriptome sequencing data from GEO with 10xgenomics, where the data for the three cancer types were obtained from GEO’s GSE203612 cohort, and for NSCLC we obtained the detailed genetic information of patients from 10xgenomics (https://www .10xgenomics.com/cn/datasets) (Table S5). ..



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    Image Search Results


    Investigations on SGMS2—related Cellular and Molecular Interactions in Hepatocellular Carcinoma. a Western blotting analysis of SGMS2 expression in THP—1 cells and differentiated macrophages. Each experiment was independently repeated three times. b , c Apoptosis levels of Huh7 tumor cells co—cultured with control macrophages and SGMS2—overexpressing macrophages were detected by flow cytometry (FCM). d Expression of SGMS2 in spatial transcriptomics sequencing data. e Abundance estimation of the CD56dimCD16highNR4A3high NK cell population by single—sample gene—set enrichment analysis (ssGSEA). f Multiplex immunofluorescence (mIF) images of SGMS2, CD68, CD16, CD56, and NR4A3 markers in 6 human HCC tissue samples. “Zoom macrophage” indicates the aggregation area of SGMS2—positive macrophages, and “Zoom NK cell” represents the CD56dimCD16highNR4A3high NK cells. The scale bar is 50 um or 20 um. g Scatter plots showing the density of CD56dimCD16highNR4A3high NK cells between patients with high and low infiltration of SGMS2—positive macrophages. Statistical analysis was performed using the Mann—Whitney U test. h Pearson correlation analysis of the density of CD56dimCD16highNR4A3high NK cells and the density of SGMS2—positive macrophages. i Kaplan—Meier analysis of OS, RFS, and early RFS in HCC patients with different infiltration densities of SGMS2—positive macrophages and CD56dimCD16highNR4A3high NK cells. Survival distributions were compared using the log—rank test. Statistical significance is indicated as follows: * P < 0.05, ** P < 0.01, *** P < 0.001; ns indicates no significant difference

    Journal: Journal of Translational Medicine

    Article Title: SGMS2+ macrophages enhance NR4A3hi NK cell infiltration to improve prognosis and PD-1 treatment efficacy in hepatocellular carcinoma

    doi: 10.1186/s12967-025-07040-x

    Figure Lengend Snippet: Investigations on SGMS2—related Cellular and Molecular Interactions in Hepatocellular Carcinoma. a Western blotting analysis of SGMS2 expression in THP—1 cells and differentiated macrophages. Each experiment was independently repeated three times. b , c Apoptosis levels of Huh7 tumor cells co—cultured with control macrophages and SGMS2—overexpressing macrophages were detected by flow cytometry (FCM). d Expression of SGMS2 in spatial transcriptomics sequencing data. e Abundance estimation of the CD56dimCD16highNR4A3high NK cell population by single—sample gene—set enrichment analysis (ssGSEA). f Multiplex immunofluorescence (mIF) images of SGMS2, CD68, CD16, CD56, and NR4A3 markers in 6 human HCC tissue samples. “Zoom macrophage” indicates the aggregation area of SGMS2—positive macrophages, and “Zoom NK cell” represents the CD56dimCD16highNR4A3high NK cells. The scale bar is 50 um or 20 um. g Scatter plots showing the density of CD56dimCD16highNR4A3high NK cells between patients with high and low infiltration of SGMS2—positive macrophages. Statistical analysis was performed using the Mann—Whitney U test. h Pearson correlation analysis of the density of CD56dimCD16highNR4A3high NK cells and the density of SGMS2—positive macrophages. i Kaplan—Meier analysis of OS, RFS, and early RFS in HCC patients with different infiltration densities of SGMS2—positive macrophages and CD56dimCD16highNR4A3high NK cells. Survival distributions were compared using the log—rank test. Statistical significance is indicated as follows: * P < 0.05, ** P < 0.01, *** P < 0.001; ns indicates no significant difference

    Article Snippet: Spatial transcriptomics sequencing data were obtained from http://lifeome.net/supp/livercancer-st/data.htm and analyzed using Seurat in R. Subsequently, SCTtransform normalization was performed.

    Techniques: Western Blot, Expressing, Cell Culture, Control, Flow Cytometry, Sequencing, Multiplex Assay, Immunofluorescence, MANN-WHITNEY