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stomics db transcription database  (Complete Genomics Inc)


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    Structured Review

    Complete Genomics Inc stomics db transcription database
    Single-cell analysis of SUSD3 in various cancers. (A) SUSD3 expression summary of 32 cell types from 77 single-cell datasets. (B) The scatter plot shows the distribution of 10 different cell types in the GSE103322HINSC dataset, as well as SUSD3 expression levels of cells in the GSE103322 dataset. (C) Spatial <t>transcription</t> slices showed the spatial expression of SUSD3, CD68, and CD163 markers, and the color of the dots indicated the expression level of the markers. (D) The scatter plot shows the distribution of 10 different cell types in the GSE120575 dataset, as well as SUSD3 expression levels of cells in the GSE120575 dataset. (E) Spatial transcription slices showed the spatial expression of SUSD3, ANXA1, and CCR7 markers, and the color of the dots indicated the expression level of the markers.
    Stomics Db Transcription Database, supplied by Complete Genomics Inc, used in various techniques. Bioz Stars score: 99/100, based on 485 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/stomics+database/Stereo-seq+Transcriptomics+Set+for+FFPE/pmc11968365-67-10-10
    Average 99 stars, based on 485 article reviews
    stomics db transcription database - by Bioz Stars, 2026-11
    99/100 stars

    Images

    1) Product Images from "Exploration of SUSD3 in pan-cancer: studying its role, predictive analysis, and biological significance in various malignant tumors in humans"

    Article Title: Exploration of SUSD3 in pan-cancer: studying its role, predictive analysis, and biological significance in various malignant tumors in humans

    Journal: Frontiers in Immunology

    doi: 10.3389/fimmu.2025.1521965

    Single-cell analysis of SUSD3 in various cancers. (A) SUSD3 expression summary of 32 cell types from 77 single-cell datasets. (B) The scatter plot shows the distribution of 10 different cell types in the GSE103322HINSC dataset, as well as SUSD3 expression levels of cells in the GSE103322 dataset. (C) Spatial transcription slices showed the spatial expression of SUSD3, CD68, and CD163 markers, and the color of the dots indicated the expression level of the markers. (D) The scatter plot shows the distribution of 10 different cell types in the GSE120575 dataset, as well as SUSD3 expression levels of cells in the GSE120575 dataset. (E) Spatial transcription slices showed the spatial expression of SUSD3, ANXA1, and CCR7 markers, and the color of the dots indicated the expression level of the markers.
    Figure Legend Snippet: Single-cell analysis of SUSD3 in various cancers. (A) SUSD3 expression summary of 32 cell types from 77 single-cell datasets. (B) The scatter plot shows the distribution of 10 different cell types in the GSE103322HINSC dataset, as well as SUSD3 expression levels of cells in the GSE103322 dataset. (C) Spatial transcription slices showed the spatial expression of SUSD3, CD68, and CD163 markers, and the color of the dots indicated the expression level of the markers. (D) The scatter plot shows the distribution of 10 different cell types in the GSE120575 dataset, as well as SUSD3 expression levels of cells in the GSE120575 dataset. (E) Spatial transcription slices showed the spatial expression of SUSD3, ANXA1, and CCR7 markers, and the color of the dots indicated the expression level of the markers.

    Techniques Used: Single-cell Analysis, Expressing

    Related Articles

    Spatial Transcriptomics:

    Article Title: A pan cancer multi omics analysis of OLR1 reveals its association with tumor immunity metabolic pathways and clinical prognosis
    Article Snippet: .. Spatial transcriptomics datasets were obtained from the STOmics database (https://db.cngb.org/stomics/) and the GEO database (https://www.ncbi.nlm.nih.gov/geo/), including STDS0000027, STDS0000033, STDS0000046, GSM5924031, and GSM6505133. ..

    Article Title: Spi1-Soat1 Transcriptional axis drives microglial lipid droplet accumulation and secondary brain injury after intracerebral hemorrhage
    Article Snippet: .. Cholesterol metabolic pathway activation and microglia-specific upregulation of Soat1 are tightly associated with lipid droplet accumulation after ICH To define the core metabolic pathways and key regulators driving microglial LD accumulation after ICH, we analyzed the day 7 perihematomal tissue subset of a spatial transcriptomics dataset (STOmics DB, ID:STT0000047), with a focus on lipid metabolic cascades underlying LD biogenesis (Fig. 3A). ..

    Analysis:

    Article Title: Diverse infections transcriptionally reprogram the intestinal epithelium and epithelial-immune cell interactions.
    Article Snippet: .. Indeed, using Stereo-seq (STOmics) spatial transcriptomic analysis, which profiles host and microbial RNA, we found that Yersinia transcripts were localized to the basal region of the PG and did not extend to the enterocytes overlaying the PG (Supplementary Fig. 10g). ..

    Sequencing:

    Article Title: Multi-omics integration and machine learning identify an ACKR1 + endothelial cell-based lactate-immune signature associated with carotid plaque vulnerability and progression.
    Article Snippet: .. The internal singlecell and spatial transcriptomes were deposited with our previous study (Lai et al., Nat Cardiovasc Res, 2025) in the Genome Sequence Archive for Human at the National Genomics Data Center under accession HRA006030 (https://ngdc.cncb.ac.cn/gsa-human), with backups in the China National GeneBank: spatial transcriptomes in the STOmics Database (STT0000052, https://db.cngb.org/stomics/) and single-cell data in the China National Sequence Archive (CNP0004894, https:// db.cngb.org/cnsa/). ..

    Single Cell:

    Article Title: Multi-omics integration and machine learning identify an ACKR1 + endothelial cell-based lactate-immune signature associated with carotid plaque vulnerability and progression.
    Article Snippet: .. The internal singlecell and spatial transcriptomes were deposited with our previous study (Lai et al., Nat Cardiovasc Res, 2025) in the Genome Sequence Archive for Human at the National Genomics Data Center under accession HRA006030 (https://ngdc.cncb.ac.cn/gsa-human), with backups in the China National GeneBank: spatial transcriptomes in the STOmics Database (STT0000052, https://db.cngb.org/stomics/) and single-cell data in the China National Sequence Archive (CNP0004894, https:// db.cngb.org/cnsa/). ..

    Activation Assay:

    Article Title: Spi1-Soat1 Transcriptional axis drives microglial lipid droplet accumulation and secondary brain injury after intracerebral hemorrhage
    Article Snippet: .. Cholesterol metabolic pathway activation and microglia-specific upregulation of Soat1 are tightly associated with lipid droplet accumulation after ICH To define the core metabolic pathways and key regulators driving microglial LD accumulation after ICH, we analyzed the day 7 perihematomal tissue subset of a spatial transcriptomics dataset (STOmics DB, ID:STT0000047), with a focus on lipid metabolic cascades underlying LD biogenesis (Fig. 3A). ..

    Tissue:

    Article Title: Spi1-Soat1 Transcriptional axis drives microglial lipid droplet accumulation and secondary brain injury after intracerebral hemorrhage
    Article Snippet: .. Cholesterol metabolic pathway activation and microglia-specific upregulation of Soat1 are tightly associated with lipid droplet accumulation after ICH To define the core metabolic pathways and key regulators driving microglial LD accumulation after ICH, we analyzed the day 7 perihematomal tissue subset of a spatial transcriptomics dataset (STOmics DB, ID:STT0000047), with a focus on lipid metabolic cascades underlying LD biogenesis (Fig. 3A). ..

    H&E Stain:

    Article Title: Spatial transcriptomic profiling of porcine tissue microarray detecting subclinical circovirus infection
    Article Snippet: .. The first section was subjected to H&E staining for histological evaluation, while the second was mounted directly onto a Stereo-seq chip N Slide V1.0 (STOmics, Cat. No. 210CN114). .. Subsequent processing was performed according to the Stereo-seq Transcriptomics Set for FFPE User Manual (Document No. STUM-TT004) using the Stereo-seq Transcriptomics N Kit V1.0 (Cat. No. 211KN114) and Stereo-seq 16 Barcode Library Preparation Kit V1.0 (Cat. No. 111KL160).



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    Complete Genomics Inc stomics db transcription database
    Single-cell analysis of SUSD3 in various cancers. (A) SUSD3 expression summary of 32 cell types from 77 single-cell datasets. (B) The scatter plot shows the distribution of 10 different cell types in the GSE103322HINSC dataset, as well as SUSD3 expression levels of cells in the GSE103322 dataset. (C) Spatial <t>transcription</t> slices showed the spatial expression of SUSD3, CD68, and CD163 markers, and the color of the dots indicated the expression level of the markers. (D) The scatter plot shows the distribution of 10 different cell types in the GSE120575 dataset, as well as SUSD3 expression levels of cells in the GSE120575 dataset. (E) Spatial transcription slices showed the spatial expression of SUSD3, ANXA1, and CCR7 markers, and the color of the dots indicated the expression level of the markers.
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    Image Search Results


    Single-cell analysis of SUSD3 in various cancers. (A) SUSD3 expression summary of 32 cell types from 77 single-cell datasets. (B) The scatter plot shows the distribution of 10 different cell types in the GSE103322HINSC dataset, as well as SUSD3 expression levels of cells in the GSE103322 dataset. (C) Spatial transcription slices showed the spatial expression of SUSD3, CD68, and CD163 markers, and the color of the dots indicated the expression level of the markers. (D) The scatter plot shows the distribution of 10 different cell types in the GSE120575 dataset, as well as SUSD3 expression levels of cells in the GSE120575 dataset. (E) Spatial transcription slices showed the spatial expression of SUSD3, ANXA1, and CCR7 markers, and the color of the dots indicated the expression level of the markers.

    Journal: Frontiers in Immunology

    Article Title: Exploration of SUSD3 in pan-cancer: studying its role, predictive analysis, and biological significance in various malignant tumors in humans

    doi: 10.3389/fimmu.2025.1521965

    Figure Lengend Snippet: Single-cell analysis of SUSD3 in various cancers. (A) SUSD3 expression summary of 32 cell types from 77 single-cell datasets. (B) The scatter plot shows the distribution of 10 different cell types in the GSE103322HINSC dataset, as well as SUSD3 expression levels of cells in the GSE103322 dataset. (C) Spatial transcription slices showed the spatial expression of SUSD3, CD68, and CD163 markers, and the color of the dots indicated the expression level of the markers. (D) The scatter plot shows the distribution of 10 different cell types in the GSE120575 dataset, as well as SUSD3 expression levels of cells in the GSE120575 dataset. (E) Spatial transcription slices showed the spatial expression of SUSD3, ANXA1, and CCR7 markers, and the color of the dots indicated the expression level of the markers.

    Article Snippet: Additionally, the spatial distribution of SUSD3 was examined using the STOmics DB transcription database ( https://db.cngb.org/stomics/ ) ( ).

    Techniques: Single-cell Analysis, Expressing