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gene exp ddb2 hs00172068 m1  (Thermo Fisher)


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    Structured Review

    Thermo Fisher gene exp ddb2 hs00172068 m1
    Overview of Participating Teams, Utilized Platforms, Number and Names of Genes or Gene Combinations Used, the Origin of Calibration Samples, and Further Details
    Gene Exp Ddb2 Hs00172068 M1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 85/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/single-cell+spatial+transcriptomics+data/pmc11106736-23-76--1?v=Thermo+Fisher
    Average 85 stars, based on 1 article reviews
    gene exp ddb2 hs00172068 m1 - by Bioz Stars, 2026-08
    85/100 stars

    Images

    1) Product Images from "RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay"

    Article Title: RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay

    Journal: Radiation research

    doi: 10.1667/RADE-22-00206.1

    Overview of Participating Teams, Utilized Platforms, Number and Names of Genes or Gene Combinations Used, the Origin of Calibration Samples, and Further Details
    Figure Legend Snippet: Overview of Participating Teams, Utilized Platforms, Number and Names of Genes or Gene Combinations Used, the Origin of Calibration Samples, and Further Details

    Techniques Used: Generated

    Overview of Methodological Details of Either qRT-PCR (Quantitative Reverse Transcription Polymerase Chain Reaction) or Microarrays Used by the Contributing Teams
    Figure Legend Snippet: Overview of Methodological Details of Either qRT-PCR (Quantitative Reverse Transcription Polymerase Chain Reaction) or Microarrays Used by the Contributing Teams

    Techniques Used: Reverse Transcription, Polymerase Chain Reaction, Microarray, Isolation, Red Blood Cell Lysis, Control, Concentration Assay, Sequencing, cDNA Synthesis, Labeling, SYBR Green Assay, Multiplex Assay, TaqMan Assay, Real-time Polymerase Chain Reaction, Software, Extraction

    The Table Depicts Team Contributions (from Left to Right) Regarding Employed Genes, Reported Dose Estimates per Reference Sample 1–3, Differences among Reported and Reference Dose-Values as well as the Summed Absolute Difference over all Reference Samples (SAD), a Correct (Yes) or Incorrect (No) Order of Dose Estimates (from Lowest to Highest) Corresponding to Three Dose Categories [Unexposed, Low (1.2 Gy) and Highly Exposed (3.5 Gy)], the Use of FDXR Gene Expression Changes for dose estimation, as well as the Report Time
    Figure Legend Snippet: The Table Depicts Team Contributions (from Left to Right) Regarding Employed Genes, Reported Dose Estimates per Reference Sample 1–3, Differences among Reported and Reference Dose-Values as well as the Summed Absolute Difference over all Reference Samples (SAD), a Correct (Yes) or Incorrect (No) Order of Dose Estimates (from Lowest to Highest) Corresponding to Three Dose Categories [Unexposed, Low (1.2 Gy) and Highly Exposed (3.5 Gy)], the Use of FDXR Gene Expression Changes for dose estimation, as well as the Report Time

    Techniques Used: Gene Expression



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    Image Search Results


    (a) Simplified cross-section of the human epidermis, highlighting squamous cells, melanocytes and basal cells. Coloured regions represent cSCC (green), which originates from squamous cells, melanoma (orange), which originates from melanocytes, and BCC (blue), which originates from basal cells. Two orange melanocytes are shown in the dermal region as occurs in invasive melanoma; other cells in the lower dermis layer are not depicted. (b) Overview of sample design and technologies used to generate data for this project. ROI - region of interest; FOV - field of view; S - cSCC; B - BCC; M - melanoma; HC - healthy (cancer patient); HNC - healthy (non-cancer patient donor). Technologies included are single cell RNA sequencing for fresh samples, single nuclei sequencing for formalin-fixed samples, Visium, Xenium, CosMX, GeoMX DSP for whole transcriptome, GeoMX DSP for proteins, Polaris, RNAscope, the proximal ligation assay, spatial glycomics and CODEX.

    Journal: bioRxiv

    Article Title: Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types

    doi: 10.1101/2025.07.25.666708

    Figure Lengend Snippet: (a) Simplified cross-section of the human epidermis, highlighting squamous cells, melanocytes and basal cells. Coloured regions represent cSCC (green), which originates from squamous cells, melanoma (orange), which originates from melanocytes, and BCC (blue), which originates from basal cells. Two orange melanocytes are shown in the dermal region as occurs in invasive melanoma; other cells in the lower dermis layer are not depicted. (b) Overview of sample design and technologies used to generate data for this project. ROI - region of interest; FOV - field of view; S - cSCC; B - BCC; M - melanoma; HC - healthy (cancer patient); HNC - healthy (non-cancer patient donor). Technologies included are single cell RNA sequencing for fresh samples, single nuclei sequencing for formalin-fixed samples, Visium, Xenium, CosMX, GeoMX DSP for whole transcriptome, GeoMX DSP for proteins, Polaris, RNAscope, the proximal ligation assay, spatial glycomics and CODEX.

    Article Snippet: Cells expressing the two genes are visualized on single-cell level resolution spatial data from STOmics and Curio-Seeker (Takara Bio, USA) melanoma samples and appear to be in spatial proximity ( ).

    Techniques: RNA Sequencing, Sequencing, RNAscope, Ligation

    (a) Gene specificity score (GSS) and association of spatial spots with skin cancer heritability. GSS score for each gene in a spot/cell represents the enrichment of the gene as a top rank most abundant gene in the spot/cell and its neighbour spots/cells in an anatomical region, a spatial domain, or a cell type. The p-value shows the spatial heritability enrichment significance of a spot with a trait based on SNPs mapped to the genes with high GSS scores (one-sided Z-test for stratified coefficient different to 0). The p-value is more significant if the SNPs that are mapped to the high GSS genes explain a higher proportion of heritability for the trait. (b) Cell types with the highest enrichment of heritability explained by SNPs tagged to GSS genes of cells in a cell type. The white asterisks indicate the most enriched cell-type for heritability of cutaneous melanoma, cSCC and BCC traits. (c) gsMAP significance spatial heritability enrichment is shown at single-cell resolution across the tissue (upper tissue plots) or per annotated skin regions (lower violin plots) from the cosMx data of the sample mel48974. (d) LR pairs with significant association with SNP heritability explained by the corresponding cell types. The rectangles show cases where both L and R genes had PCC >0.3 between GSS of the gene and the gsMAP P-values (the significance level for the LD stratified coefficients for the spot bigger than 0). The results suggest which LR pairs are related with the heritability of a cell type pairs. (e) GSS of two LR pairs showing specificity of the L and R genes to tissue regions at the immune-rich dermal layers and the epidermis of the skin. (f) Manhattan plot showing top significant GWAS SNPs co-localizing with genes in melanocytes (red) and T cells (blue) that had the highest Pearson correlation between GSS and the gsMAP trait association P-value or associated with SNPs with genome-wide significance. The Y-axis shows the -log(P-value) from GWAS analysis.

    Journal: bioRxiv

    Article Title: Integrating 12 Spatial and Single Cell Technologies to Characterise Tumour Neighbourhoods and Cellular Interactions in three Skin Cancer Types

    doi: 10.1101/2025.07.25.666708

    Figure Lengend Snippet: (a) Gene specificity score (GSS) and association of spatial spots with skin cancer heritability. GSS score for each gene in a spot/cell represents the enrichment of the gene as a top rank most abundant gene in the spot/cell and its neighbour spots/cells in an anatomical region, a spatial domain, or a cell type. The p-value shows the spatial heritability enrichment significance of a spot with a trait based on SNPs mapped to the genes with high GSS scores (one-sided Z-test for stratified coefficient different to 0). The p-value is more significant if the SNPs that are mapped to the high GSS genes explain a higher proportion of heritability for the trait. (b) Cell types with the highest enrichment of heritability explained by SNPs tagged to GSS genes of cells in a cell type. The white asterisks indicate the most enriched cell-type for heritability of cutaneous melanoma, cSCC and BCC traits. (c) gsMAP significance spatial heritability enrichment is shown at single-cell resolution across the tissue (upper tissue plots) or per annotated skin regions (lower violin plots) from the cosMx data of the sample mel48974. (d) LR pairs with significant association with SNP heritability explained by the corresponding cell types. The rectangles show cases where both L and R genes had PCC >0.3 between GSS of the gene and the gsMAP P-values (the significance level for the LD stratified coefficients for the spot bigger than 0). The results suggest which LR pairs are related with the heritability of a cell type pairs. (e) GSS of two LR pairs showing specificity of the L and R genes to tissue regions at the immune-rich dermal layers and the epidermis of the skin. (f) Manhattan plot showing top significant GWAS SNPs co-localizing with genes in melanocytes (red) and T cells (blue) that had the highest Pearson correlation between GSS and the gsMAP trait association P-value or associated with SNPs with genome-wide significance. The Y-axis shows the -log(P-value) from GWAS analysis.

    Article Snippet: Cells expressing the two genes are visualized on single-cell level resolution spatial data from STOmics and Curio-Seeker (Takara Bio, USA) melanoma samples and appear to be in spatial proximity ( ).

    Techniques: Genome Wide

    Journal: Cell

    Article Title: Spatiotemporal analysis of human intestinal development at single-cell resolution

    doi: 10.1016/j.cell.2020.12.016

    Figure Lengend Snippet:

    Article Snippet: STAR-FINDer Single Cell and Spatial Transcriptomics Data Portal , This study , https://simmonslab.shinyapps.io/FetalAtlasDataPortal.

    Techniques: Conjugation Assay, Recombinant, Saline, Modification, Plasmid Preparation, Gene Expression, RNAscope, Generated, Software