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Spatial Transcriptomics Inc tumour heterogeneity 36 1 ar ti cl e
Tumour Heterogeneity 36 1 Ar Ti Cl E, 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+(st-seq)/1+36+ar+cl+e+heterogeneity+ti+tumour/pm41545411-34-48-59
Average 86 stars, based on 1 article reviews
tumour heterogeneity 36 1 ar ti cl e - by Bioz Stars, 2026-10
86/100 stars

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Related Articles

Gene Expression:

Article Title: Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data.
Article Snippet: .. However, due to the nature of the data input, HE2RNA lacks ground truth at the tile level,34 using instead the aggregated gene expression value from the whole image (i.e., all tiles in the image have the same ground truth35 for one gene), thus limiting its ability to assess tumour heterogeneity.36 1 AR TI CL E IN P RE SS Spatial transcriptomics (ST-seq) produces both imaging and sequencing information and has the unique capability of37 measuring over 20,000 genes without tissue dissociation, preserving tissue anatomy and the microenvironmental context?.38 However, spatial transcriptomics remains prohibitively expensive for clinical applications. ..

Imaging:

Article Title: Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data.
Article Snippet: .. However, due to the nature of the data input, HE2RNA lacks ground truth at the tile level,34 using instead the aggregated gene expression value from the whole image (i.e., all tiles in the image have the same ground truth35 for one gene), thus limiting its ability to assess tumour heterogeneity.36 1 AR TI CL E IN P RE SS Spatial transcriptomics (ST-seq) produces both imaging and sequencing information and has the unique capability of37 measuring over 20,000 genes without tissue dissociation, preserving tissue anatomy and the microenvironmental context?.38 However, spatial transcriptomics remains prohibitively expensive for clinical applications. ..

Sequencing:

Article Title: Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data.
Article Snippet: .. However, due to the nature of the data input, HE2RNA lacks ground truth at the tile level,34 using instead the aggregated gene expression value from the whole image (i.e., all tiles in the image have the same ground truth35 for one gene), thus limiting its ability to assess tumour heterogeneity.36 1 AR TI CL E IN P RE SS Spatial transcriptomics (ST-seq) produces both imaging and sequencing information and has the unique capability of37 measuring over 20,000 genes without tissue dissociation, preserving tissue anatomy and the microenvironmental context?.38 However, spatial transcriptomics remains prohibitively expensive for clinical applications. ..

Preserving:

Article Title: Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data.
Article Snippet: .. However, due to the nature of the data input, HE2RNA lacks ground truth at the tile level,34 using instead the aggregated gene expression value from the whole image (i.e., all tiles in the image have the same ground truth35 for one gene), thus limiting its ability to assess tumour heterogeneity.36 1 AR TI CL E IN P RE SS Spatial transcriptomics (ST-seq) produces both imaging and sequencing information and has the unique capability of37 measuring over 20,000 genes without tissue dissociation, preserving tissue anatomy and the microenvironmental context?.38 However, spatial transcriptomics remains prohibitively expensive for clinical applications. ..



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Mendeley Ltd spatial transcriptome sequencing (st-seq) dataset
Transcription programs of ccRCC cells in response to cuproptosis. A UMAP showing the 10 subtypes of 26,981 Epithelial cells; B heatmap showing inferred CNV of scRNA-seq dataset; C dot plot of the relative cellular proportions of Epithelial subtypes in each group; D GSEA analysis revealed the activated CRGs enriched in Normal Epithelial cells; E violin plot showing the relative CRGs score in each cancer subtype; F survival plot of HILPDA + ccRCC1 signature high and low group in the KIRC samples; G violin plots of HILPDA expression levels and hypoxia scores in each cancer subtypes; H spatial <t>transcriptome</t> displayed the distribution of CRGs, HILPDA + ccRCC1 signatures, hypoxia scores and HILPDA expression; I the regulon specificity scores of TFs in HILPDA + ccRCC1 subtype. The top 5 TFs ordered by scores were listed; J violin plot showing the expression levels of the top 5 TFs in HILPDA + ccRCC1 subtype across stage I–IV.
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Spatial Transcriptomics Inc spatial transcriptomics sequencing (st-seq)
Transcription programs of ccRCC cells in response to cuproptosis. A UMAP showing the 10 subtypes of 26,981 Epithelial cells; B heatmap showing inferred CNV of scRNA-seq dataset; C dot plot of the relative cellular proportions of Epithelial subtypes in each group; D GSEA analysis revealed the activated CRGs enriched in Normal Epithelial cells; E violin plot showing the relative CRGs score in each cancer subtype; F survival plot of HILPDA + ccRCC1 signature high and low group in the KIRC samples; G violin plots of HILPDA expression levels and hypoxia scores in each cancer subtypes; H spatial <t>transcriptome</t> displayed the distribution of CRGs, HILPDA + ccRCC1 signatures, hypoxia scores and HILPDA expression; I the regulon specificity scores of TFs in HILPDA + ccRCC1 subtype. The top 5 TFs ordered by scores were listed; J violin plot showing the expression levels of the top 5 TFs in HILPDA + ccRCC1 subtype across stage I–IV.
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Average 90 stars, based on 1 article reviews
spatial transcriptomics sequencing (st-seq) - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

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Transcription programs of ccRCC cells in response to cuproptosis. A UMAP showing the 10 subtypes of 26,981 Epithelial cells; B heatmap showing inferred CNV of scRNA-seq dataset; C dot plot of the relative cellular proportions of Epithelial subtypes in each group; D GSEA analysis revealed the activated CRGs enriched in Normal Epithelial cells; E violin plot showing the relative CRGs score in each cancer subtype; F survival plot of HILPDA + ccRCC1 signature high and low group in the KIRC samples; G violin plots of HILPDA expression levels and hypoxia scores in each cancer subtypes; H spatial transcriptome displayed the distribution of CRGs, HILPDA + ccRCC1 signatures, hypoxia scores and HILPDA expression; I the regulon specificity scores of TFs in HILPDA + ccRCC1 subtype. The top 5 TFs ordered by scores were listed; J violin plot showing the expression levels of the top 5 TFs in HILPDA + ccRCC1 subtype across stage I–IV.

Journal: Discover Oncology

Article Title: Characterization of cuproptosis signature in clear cell renal cell carcinoma by single cell and spatial transcriptome analysis

doi: 10.1007/s12672-024-01162-2

Figure Lengend Snippet: Transcription programs of ccRCC cells in response to cuproptosis. A UMAP showing the 10 subtypes of 26,981 Epithelial cells; B heatmap showing inferred CNV of scRNA-seq dataset; C dot plot of the relative cellular proportions of Epithelial subtypes in each group; D GSEA analysis revealed the activated CRGs enriched in Normal Epithelial cells; E violin plot showing the relative CRGs score in each cancer subtype; F survival plot of HILPDA + ccRCC1 signature high and low group in the KIRC samples; G violin plots of HILPDA expression levels and hypoxia scores in each cancer subtypes; H spatial transcriptome displayed the distribution of CRGs, HILPDA + ccRCC1 signatures, hypoxia scores and HILPDA expression; I the regulon specificity scores of TFs in HILPDA + ccRCC1 subtype. The top 5 TFs ordered by scores were listed; J violin plot showing the expression levels of the top 5 TFs in HILPDA + ccRCC1 subtype across stage I–IV.

Article Snippet: The spatial transcriptome sequencing (ST-seq) dataset was obtained from Mendeley Data platform ( https://data.mendeley.com/datasets/g67bkbnhhg/1 ) and input to python environment.

Techniques: Expressing

Dissection of immunosuppressive cells of cuproptosis-related tumor microenvironment. A UMAP showing the 16 subtypes of 99,210 Immune cells; B violin plot of the relative expression levels of the canocial markers in each subtype; C heatmap showing the enrichment of immune checkpoint and suppressive genes; D spatial transcriptome displayed the distribution of Treg, CD8_Exhausted and TAM signature scores; E heatmap showing the four gene expression patterns deduced by TDEseq analysis; F violin plots showing the relative expression levels of CRG scores in the immunosuppressive cells across different stages; G Chord diagram showing the number of interactions among the four subtypes; H Bubble plot showing the ligand-receptor pairs in the main subtype; I Heatmap showing the relative expression levels of key genes of the four subtypes among the different stages. The paired ligand-receptor shown in H were connected by lines.

Journal: Discover Oncology

Article Title: Characterization of cuproptosis signature in clear cell renal cell carcinoma by single cell and spatial transcriptome analysis

doi: 10.1007/s12672-024-01162-2

Figure Lengend Snippet: Dissection of immunosuppressive cells of cuproptosis-related tumor microenvironment. A UMAP showing the 16 subtypes of 99,210 Immune cells; B violin plot of the relative expression levels of the canocial markers in each subtype; C heatmap showing the enrichment of immune checkpoint and suppressive genes; D spatial transcriptome displayed the distribution of Treg, CD8_Exhausted and TAM signature scores; E heatmap showing the four gene expression patterns deduced by TDEseq analysis; F violin plots showing the relative expression levels of CRG scores in the immunosuppressive cells across different stages; G Chord diagram showing the number of interactions among the four subtypes; H Bubble plot showing the ligand-receptor pairs in the main subtype; I Heatmap showing the relative expression levels of key genes of the four subtypes among the different stages. The paired ligand-receptor shown in H were connected by lines.

Article Snippet: The spatial transcriptome sequencing (ST-seq) dataset was obtained from Mendeley Data platform ( https://data.mendeley.com/datasets/g67bkbnhhg/1 ) and input to python environment.

Techniques: Dissection, Expressing, Gene Expression