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spatial transcriptomics sequencing data  (Spatial Transcriptomics Inc)

 
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    Spatial Transcriptomics Inc spatial transcriptomics sequencing data
    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 <t>transcriptomics</t> <t>sequencing</t> 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
    Spatial Transcriptomics Sequencing Data, supplied by Spatial Transcriptomics Inc, 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/spatial+transcriptomics+sequencing+data/data+sequencing+spatial+transcriptomics/pmc12763894-100-0-0
    Average 86 stars, based on 1 article reviews
    spatial transcriptomics sequencing data - by Bioz Stars, 2026-10
    86/100 stars

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    1) Product Images from "SGMS2+ macrophages enhance NR4A3hi NK cell infiltration to improve prognosis and PD-1 treatment efficacy in hepatocellular carcinoma"

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

    Journal: Journal of Translational Medicine

    doi: 10.1186/s12967-025-07040-x

    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
    Figure Legend 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

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

    Related Articles

    Spatial Transcriptomics:

    Article Title: Single-cell transcriptome sequencing reveals new epithelial-stromal associated mesenchymal-like subsets in recurrent gliomas.
    Article Snippet: .. Spatial transcriptomics sequencing data was obtained from previous studies and is now publicly available (GSE194329) [19]. ..

    Article Title: FAP + fibroblasts orchestrate tumor microenvironment remodeling in renal cell carcinoma with tumor thrombus
    Article Snippet: .. Raw single cell and spatial transcriptomics sequencing data generated in this study have been deposited in GSA-Human database ( https://ngdc.cncb.ac.cn/gsa-human ) under accession code HRA007082 (scRNA-seq, discovery dataset), HRA007092 (scRNA-seq, validation dataset), HRA007093 (spatial transcriptomics, PT from RCC with TT), and HRA005878 (spatial transcriptomics, TT). ..

    Article Title: Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors
    Article Snippet: .. Spatial transcriptomics sequencing data generated in this study has been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under BioProject accession number PRJNA1299304. ..

    Article Title: Targeting Wnt/β-catenin activation in combination with temozolomide leads to glioblastoma inhibition and long-term survival in mice
    Article Snippet: .. 156 157 Spatial transcriptomics data analysis 158 We downloaded spatial transcriptomics sequencing data from published studies [17,18] 159 (GBM#1 represents UKF269_T, GBM#2 represents UKF334_T, and GBM#3 represents 160 Jo urn al Pr e-p roo f 8 patient 4). ..

    Article Title: Spatiotemporal transcriptomic and metabolomic landscapes of wild soybean seed development reveal regulatory mechanisms of nutrient accumulation.
    Article Snippet: .. 471 Using the spatial transcriptomics sequencing data from seed sections and scRNA-472 seq data from 20,672 G. soja cells at the mid-maturity stage, a spatiotemporal 473 transcriptomic map illustrating gene expression patterns in developing soybean seeds 474 was developed. ..

    Article Title: Single-cell transcriptome sequencing reveals new epithelial-stromal associated mesenchymal-like subsets in recurrent gliomas
    Article Snippet: .. Spatial transcriptomics sequencing data was obtained from previous studies and is now publicly available ( GSE194329 ) [ ]. ..

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

    Article Title: SGMS2+ macrophages enhance NR4A3hi NK cell infiltration to improve prognosis and PD-1 treatment efficacy in hepatocellular carcinoma.
    Article Snippet: .. Spatial transcriptomics sequencing data were obtained from http://lifeome.net/supp/livercancer-st/data.htm26 and analyzed using Seurat in R. Subsequently, SCTtransform normalization was performed. ..

    Sequencing:

    Article Title: Single-cell transcriptome sequencing reveals new epithelial-stromal associated mesenchymal-like subsets in recurrent gliomas.
    Article Snippet: .. Spatial transcriptomics sequencing data was obtained from previous studies and is now publicly available (GSE194329) [19]. ..

    Article Title: FAP + fibroblasts orchestrate tumor microenvironment remodeling in renal cell carcinoma with tumor thrombus
    Article Snippet: .. Raw single cell and spatial transcriptomics sequencing data generated in this study have been deposited in GSA-Human database ( https://ngdc.cncb.ac.cn/gsa-human ) under accession code HRA007082 (scRNA-seq, discovery dataset), HRA007092 (scRNA-seq, validation dataset), HRA007093 (spatial transcriptomics, PT from RCC with TT), and HRA005878 (spatial transcriptomics, TT). ..

    Article Title: Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors
    Article Snippet: .. Spatial transcriptomics sequencing data generated in this study has been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under BioProject accession number PRJNA1299304. ..

    Article Title: Targeting Wnt/β-catenin activation in combination with temozolomide leads to glioblastoma inhibition and long-term survival in mice
    Article Snippet: .. 156 157 Spatial transcriptomics data analysis 158 We downloaded spatial transcriptomics sequencing data from published studies [17,18] 159 (GBM#1 represents UKF269_T, GBM#2 represents UKF334_T, and GBM#3 represents 160 Jo urn al Pr e-p roo f 8 patient 4). ..

    Article Title: Spatiotemporal transcriptomic and metabolomic landscapes of wild soybean seed development reveal regulatory mechanisms of nutrient accumulation.
    Article Snippet: .. 471 Using the spatial transcriptomics sequencing data from seed sections and scRNA-472 seq data from 20,672 G. soja cells at the mid-maturity stage, a spatiotemporal 473 transcriptomic map illustrating gene expression patterns in developing soybean seeds 474 was developed. ..

    Article Title: Single-cell transcriptome sequencing reveals new epithelial-stromal associated mesenchymal-like subsets in recurrent gliomas
    Article Snippet: .. Spatial transcriptomics sequencing data was obtained from previous studies and is now publicly available ( GSE194329 ) [ ]. ..

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

    Article Title: SGMS2+ macrophages enhance NR4A3hi NK cell infiltration to improve prognosis and PD-1 treatment efficacy in hepatocellular carcinoma.
    Article Snippet: .. Spatial transcriptomics sequencing data were obtained from http://lifeome.net/supp/livercancer-st/data.htm26 and analyzed using Seurat in R. Subsequently, SCTtransform normalization was performed. ..

    Single Cell:

    Article Title: FAP + fibroblasts orchestrate tumor microenvironment remodeling in renal cell carcinoma with tumor thrombus
    Article Snippet: .. Raw single cell and spatial transcriptomics sequencing data generated in this study have been deposited in GSA-Human database ( https://ngdc.cncb.ac.cn/gsa-human ) under accession code HRA007082 (scRNA-seq, discovery dataset), HRA007092 (scRNA-seq, validation dataset), HRA007093 (spatial transcriptomics, PT from RCC with TT), and HRA005878 (spatial transcriptomics, TT). ..

    Generated:

    Article Title: FAP + fibroblasts orchestrate tumor microenvironment remodeling in renal cell carcinoma with tumor thrombus
    Article Snippet: .. Raw single cell and spatial transcriptomics sequencing data generated in this study have been deposited in GSA-Human database ( https://ngdc.cncb.ac.cn/gsa-human ) under accession code HRA007082 (scRNA-seq, discovery dataset), HRA007092 (scRNA-seq, validation dataset), HRA007093 (spatial transcriptomics, PT from RCC with TT), and HRA005878 (spatial transcriptomics, TT). ..

    Article Title: Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors
    Article Snippet: .. Spatial transcriptomics sequencing data generated in this study has been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under BioProject accession number PRJNA1299304. ..

    Biomarker Discovery:

    Article Title: FAP + fibroblasts orchestrate tumor microenvironment remodeling in renal cell carcinoma with tumor thrombus
    Article Snippet: .. Raw single cell and spatial transcriptomics sequencing data generated in this study have been deposited in GSA-Human database ( https://ngdc.cncb.ac.cn/gsa-human ) under accession code HRA007082 (scRNA-seq, discovery dataset), HRA007092 (scRNA-seq, validation dataset), HRA007093 (spatial transcriptomics, PT from RCC with TT), and HRA005878 (spatial transcriptomics, TT). ..

    Gene Expression:

    Article Title: Spatiotemporal transcriptomic and metabolomic landscapes of wild soybean seed development reveal regulatory mechanisms of nutrient accumulation.
    Article Snippet: .. 471 Using the spatial transcriptomics sequencing data from seed sections and scRNA-472 seq data from 20,672 G. soja cells at the mid-maturity stage, a spatiotemporal 473 transcriptomic map illustrating gene expression patterns in developing soybean seeds 474 was developed. ..



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    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 <t>transcriptomics</t> <t>sequencing</t> 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
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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