Review



spatial transcriptomics sequencing data  (Spatial Transcriptomics Inc)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 86
      Buy from Supplier

    Structured Review

    Spatial Transcriptomics Inc spatial transcriptomics sequencing data
    a Flow cytometry staining of H226 tumor cells in vitro for CD73 expression. Isotype control (gray), anti-CD73 antibody (pink). b Immunofluorescent micrographs of H226 tumors resected from NCG mice 46 days post-implantation. Nucleated cells (DAPI, blue), hypoxia (Hypoxyprobe, green) and CD73 (pink). Representative images from four individual tumors from 10 to 20 different cutting surfaces. c Quantification of hypoxia in various tumor regions within resected H226 tumors from NCG mice determined by mean fluorescence intensity (MFI) of Hypoxyprobe. Representative image of a resected tumor section; quantification was performed across 6 independent slides (3 tumors per slide from individual mice) with an average of 13.5 regions of interest (ROI) analyzed per slide. d Spatial <t>transcriptomics</t> gene expression analysis from hypoxic regions in ( c ) (white = low hypoxia, light green = medium hypoxia, dark green = high hypoxia). Boxplots show the median (line), interquartile range (box), and whiskers extending to values within 1.5× the IQR. e 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into H226 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Two-sided Mann–Whitney t-test, n = group average of individual mice, mean ± SEM, P** = 0.0079, P** = 0.0072). f Cumulative tumor burden, calculated as area under the curve, from ( e ) (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.0556, P** = 0.00379). g 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into A549 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Graph represents group mean ± SD, P** = 0.0072). h Cumulative tumor burden, calculated as area under the curve, from ( g ). (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.490, P** = 0.0037). For all data, symbols and error bars reflect individual biological replicates and group mean ± S.E.M. e – h Mann–Whitney t-test performed to calculate statistical significance, ** P < 0.01, * P < 0.05.
    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/digital+spatial+profiling+spatial+transcriptomics+sequencing/data+sequencing+spatial+transcriptomics/pmc12749318-350-0-0
    Average 86 stars, based on 1 article reviews
    spatial transcriptomics sequencing data - by Bioz Stars, 2026-10
    86/100 stars

    Images

    1) Product Images from "Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors"

    Article Title: Multiplex gene-editing strategy to engineer allogeneic EGFR-targeting CAR T-cells with improved efficacy against solid tumors

    Journal: Nature Communications

    doi: 10.1038/s41467-025-66737-1

    a Flow cytometry staining of H226 tumor cells in vitro for CD73 expression. Isotype control (gray), anti-CD73 antibody (pink). b Immunofluorescent micrographs of H226 tumors resected from NCG mice 46 days post-implantation. Nucleated cells (DAPI, blue), hypoxia (Hypoxyprobe, green) and CD73 (pink). Representative images from four individual tumors from 10 to 20 different cutting surfaces. c Quantification of hypoxia in various tumor regions within resected H226 tumors from NCG mice determined by mean fluorescence intensity (MFI) of Hypoxyprobe. Representative image of a resected tumor section; quantification was performed across 6 independent slides (3 tumors per slide from individual mice) with an average of 13.5 regions of interest (ROI) analyzed per slide. d Spatial transcriptomics gene expression analysis from hypoxic regions in ( c ) (white = low hypoxia, light green = medium hypoxia, dark green = high hypoxia). Boxplots show the median (line), interquartile range (box), and whiskers extending to values within 1.5× the IQR. e 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into H226 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Two-sided Mann–Whitney t-test, n = group average of individual mice, mean ± SEM, P** = 0.0079, P** = 0.0072). f Cumulative tumor burden, calculated as area under the curve, from ( e ) (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.0556, P** = 0.00379). g 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into A549 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Graph represents group mean ± SD, P** = 0.0072). h Cumulative tumor burden, calculated as area under the curve, from ( g ). (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.490, P** = 0.0037). For all data, symbols and error bars reflect individual biological replicates and group mean ± S.E.M. e – h Mann–Whitney t-test performed to calculate statistical significance, ** P < 0.01, * P < 0.05.
    Figure Legend Snippet: a Flow cytometry staining of H226 tumor cells in vitro for CD73 expression. Isotype control (gray), anti-CD73 antibody (pink). b Immunofluorescent micrographs of H226 tumors resected from NCG mice 46 days post-implantation. Nucleated cells (DAPI, blue), hypoxia (Hypoxyprobe, green) and CD73 (pink). Representative images from four individual tumors from 10 to 20 different cutting surfaces. c Quantification of hypoxia in various tumor regions within resected H226 tumors from NCG mice determined by mean fluorescence intensity (MFI) of Hypoxyprobe. Representative image of a resected tumor section; quantification was performed across 6 independent slides (3 tumors per slide from individual mice) with an average of 13.5 regions of interest (ROI) analyzed per slide. d Spatial transcriptomics gene expression analysis from hypoxic regions in ( c ) (white = low hypoxia, light green = medium hypoxia, dark green = high hypoxia). Boxplots show the median (line), interquartile range (box), and whiskers extending to values within 1.5× the IQR. e 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into H226 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Two-sided Mann–Whitney t-test, n = group average of individual mice, mean ± SEM, P** = 0.0079, P** = 0.0072). f Cumulative tumor burden, calculated as area under the curve, from ( e ) (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.0556, P** = 0.00379). g 2 × 10 6 UTD T cells (white, n = 5 individual mice) or unedited (gray, n = 5 individual mice) and A 2A R-KO (red, n = 5 individual mice) CAR T-cells injected I.V. into A549 tumor-bearing NCG mice. Group average of tumor volumes measured via calipers over time (Graph represents group mean ± SD, P** = 0.0072). h Cumulative tumor burden, calculated as area under the curve, from ( g ). (Two-sided Mann–Whitney t-test, n = average of individual mice as above, mean ± SD, n.s. = 0.490, P** = 0.0037). For all data, symbols and error bars reflect individual biological replicates and group mean ± S.E.M. e – h Mann–Whitney t-test performed to calculate statistical significance, ** P < 0.01, * P < 0.05.

    Techniques Used: Flow Cytometry, Staining, In Vitro, Expressing, Control, Fluorescence, Gene Expression, Injection, MANN-WHITNEY

    Related Articles

    Expressing:

    Article Title: Multiomic analysis of CCNE1 amplification associated molecular and immune features in gynecological cancers
    Article Snippet: .. C Spatial transcriptomics ( GSM8207499 ) revealed diffuse CCNE1 expression without distinct clustering, with elevated VEGFB and FBLN2 levels observed in CCNE1-high regions. ..

    Spatial Transcriptomics:


    Article Title: Multi-omics integration and machine learning define robust molecular subtypes and prognostic signatures in hepatocellular carcinoma.
    Article Snippet: .. Single-cell RNA-seq data were obtained from GSE166635 [20] and spatial transcriptomics data (HCC1R and HCC4R) from GSE238264 [21]. ..

    Article Title: SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy
    Article Snippet: .. In-depth exploration of the multimodal information within Spatial Transcriptomics (ST) data is essential for understanding the heterogeneity of tissue structure, investigating biological functions and tracking disease progression. ..

    Article Title: Single-cell and spatial transcriptomics unveils key regulators governing cell differentiation for Schistosoma sexual development
    Article Snippet: .. The sequencing data from Stereo-seq spatial transcriptomics was processed using Stereo-seq Analysis Workflow (SAW) v8.0 ( https://en.stomics.tech ). ..

    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: SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy.
    Article Snippet: .. In-depth exploration of the multimodal information within Spatial Transcriptomics (ST) data is essential for understanding the heterogeneity of tissue structure, investigating biological functions and tracking disease progression. ..

    Single Cell:

    Article Title: Multi-omics integration and machine learning define robust molecular subtypes and prognostic signatures in hepatocellular carcinoma.
    Article Snippet: .. Single-cell RNA-seq data were obtained from GSE166635 [20] and spatial transcriptomics data (HCC1R and HCC4R) from GSE238264 [21]. ..

    RNA Sequencing:

    Article Title: Multi-omics integration and machine learning define robust molecular subtypes and prognostic signatures in hepatocellular carcinoma.
    Article Snippet: .. Single-cell RNA-seq data were obtained from GSE166635 [20] and spatial transcriptomics data (HCC1R and HCC4R) from GSE238264 [21]. ..

    Gene Expression:

    Article Title: Multiomic analysis of CCNE1 amplification associated molecular and immune features in gynecological cancers
    Article Snippet: .. C Spatial transcriptomics ( GSM7019835 ) depicting the gene expression patterns of CCNE1, EPCAM (epithelial marker), and the colocalized genes ARHGAP1 and STK24, which are involved in structural remodeling and cell motility. ..

    Marker:

    Article Title: Multiomic analysis of CCNE1 amplification associated molecular and immune features in gynecological cancers
    Article Snippet: .. C Spatial transcriptomics ( GSM7019835 ) depicting the gene expression patterns of CCNE1, EPCAM (epithelial marker), and the colocalized genes ARHGAP1 and STK24, which are involved in structural remodeling and cell motility. ..

    Biomarker Discovery:

    Article Title: SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy
    Article Snippet: .. In-depth exploration of the multimodal information within Spatial Transcriptomics (ST) data is essential for understanding the heterogeneity of tissue structure, investigating biological functions and tracking disease progression. ..

    Article Title: SpaConTDS: A multimodal contrastive learning framework for identifying spatial domains by applying tuple disturbing strategy.
    Article Snippet: .. In-depth exploration of the multimodal information within Spatial Transcriptomics (ST) data is essential for understanding the heterogeneity of tissue structure, investigating biological functions and tracking disease progression. ..

    Sequencing:

    Article Title: Single-cell and spatial transcriptomics unveils key regulators governing cell differentiation for Schistosoma sexual development
    Article Snippet: .. The sequencing data from Stereo-seq spatial transcriptomics was processed using Stereo-seq Analysis Workflow (SAW) v8.0 ( https://en.stomics.tech ). ..

    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. ..



    Similar Products

    digital spatial profiling spatial transcriptomics sequencing  (Spatial Transcriptomics Inc)
    86
    Spatial Transcriptomics Inc digital spatial profiling spatial transcriptomics sequencing
    Digital Spatial Profiling Spatial Transcriptomics Sequencing, 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/digital+spatial+profiling+spatial+transcriptomics+sequencing/sequencing+spatial+transcriptomics/pm40946801-64-0-3
    Average 86 stars, based on 1 article reviews
    digital spatial profiling spatial transcriptomics sequencing - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier

    Image Search Results