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Spatial Transcriptomics Inc 10x visium spatial gene expression kit
10x Visium Spatial Gene Expression Kit, 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/10x+visium+spatial+gene+expression+kit/kit+spatial+transcriptomics+visium/bio_rxiv__64898__2025__12__10__693579-348-20-1
Average 86 stars, based on 1 article reviews
10x visium spatial gene expression kit - by Bioz Stars, 2026-09
86/100 stars

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Gene Expression:

Article Title: Single-cell MultiOmics and spatial transcriptomics demonstrate neuroblastoma developmental plasticity.
Article Snippet: Tissue optimization and library preparation were performed according to manufacturer’s instruction, and the constructed libraries were sequenced on Illumina Novaseq 6000 with paired-end 150 bp. .. Spatial Transcriptomics and data pre-processing Spatial transcriptomics were performed by using 10X Visium Spatial Gene Expression kit. .. The total RNA was extracted with Trizol (Invitrogen, 15596026), and the RNA quality of each tissue section (RNA integrity value >7) was examined by RNA ScreenTape (Agilent 4200 TapeStation).

Article Title: Serotonergic neuron-glioma interactions drive high-grade glioma pathophysiology
Article Snippet: .. Briefly, Spatial transcriptomics experiments were conducted on adult IDH wild-type glioblastoma and pediatric H3K27M diffuse midline glioma tumors using the 10X Visium Spatial Gene Expression kit, following the manufacturer’s protocol for tissue optimization and library preparation. ..

Article Title: Gasdermin E in glioblastoma -pyroptosis resistance and tumor-promoting functions.
Article Snippet: .. Briefly, Spatial transcriptomics experiments were conducted on IDH wildtype GB tumors using the 10X Visium Spatial Gene Expression kit, following the manufacturer’s protocol for tissue optimization and library preparation. ..

Article Title: Gasdermin E in glioblastoma –pyroptosis resistance and tumor-promoting functions
Article Snippet: .. Briefly, Spatial transcriptomics experiments were conducted on IDH wild-type GB tumors using the 10X Visium Spatial Gene Expression kit, following the manufacturer’s protocol for tissue optimization and library preparation. ..

Spatial Transcriptomics:

Article Title: Serotonergic neuron-glioma interactions drive high-grade glioma pathophysiology
Article Snippet: .. Briefly, Spatial transcriptomics experiments were conducted on adult IDH wild-type glioblastoma and pediatric H3K27M diffuse midline glioma tumors using the 10X Visium Spatial Gene Expression kit, following the manufacturer’s protocol for tissue optimization and library preparation. ..

Article Title: Gasdermin E in glioblastoma -pyroptosis resistance and tumor-promoting functions.
Article Snippet: .. Briefly, Spatial transcriptomics experiments were conducted on IDH wildtype GB tumors using the 10X Visium Spatial Gene Expression kit, following the manufacturer’s protocol for tissue optimization and library preparation. ..

Article Title: Gasdermin E in glioblastoma –pyroptosis resistance and tumor-promoting functions
Article Snippet: .. Briefly, Spatial transcriptomics experiments were conducted on IDH wild-type GB tumors using the 10X Visium Spatial Gene Expression kit, following the manufacturer’s protocol for tissue optimization and library preparation. ..



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a , Hematoxylin and eosin (H&E; left panel) of lung tumour biopsy sample taken 35 days post-GCAR1 treatment, with (remaining panels) IHC staining for the CAR target GPNMB; TFE3 to mark tumor cells; CD3 to identify all T cells; MYC to identify GCAR1 cells. Scale bars = 100 μm. b , Spatial plot of GPNMB gene expression across three samples profiled with <t>Visium</t> HD, including <t>the</t> <t>ASPS-3</t> patient primary tumor and 2 research core biopsies. c , H&E plots of the spatially profiled samples in (b), with spatial plots of gene expression program usage values, and top 10 scoring genes per program (heatmaps). d , Barplots of the proportion of 24 μm bins per sample that have a minimum usage of each program (usage >0.05). Primary (grey); biopsy (green). Biopsy samples are merged together. e , Pearson correlation between spatial GPNMB expression in each sample type (rows) and spatial program usage (columns). f , Heatmap plot of the inverse rank of selected genes (rows) in each program (columns). Values indicate the relative importance of these genes to defining a given program. g , Pearson correlation of gene expression (rows) and program usage (columns) values in the biopsy samples. Checkpoint receptor genes with high correlation to Program 9 (CD8 T cells) are boxed in black; ligands are boxed in red when involving tumor or vascular programs. h , Dot plot of T cell program co-usage within T cell spatial niches in the biopsy samples. Niches are T cell positive bins stratified based on the additional presence of fibroblasts (niche 1), pericytes and endothelial cells (niche 2), or the absence of those stromal components (niche 3; i.e. tumor). Within each T cell niche, program co-usage is calculated for each of 15 programs, setting bins with usage to 1, otherwise 0. The proportion of 1 vs 0 bins are summarized for each niche. i , Schematic of the strategy for T cell-proximal gene expression analysis performed in panel (j). Each 24 μm bin positive for a T cell (based on expression of any T cell gene, including (CD3 components, CD4, CD8A, or GCAR) was considered to be within the region of interest, while the remaining bins were considered outside. The radius around each T cell was increased by 1, to encompass up to 3 nearest neighbours. j , Proportion of bins within and outside T cell regions in each sample (primary tumor, biopsy cores, xenograft), positive for expression of PD1 (top row) and PDL1 (bottom row). k, Heatmap of Student’s t-test (two-sided) p-values among pairs of regions (n=4 values per region) from panel (j).
Visium Hd Spatial Gene Expression Kit (10x Genomics, Human Probe Panel), supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/10x+visium+spatial+gene+expression+kit/visium+spatial+gene+expression/med_rxiv__2025__02__26__24319604-382-1-7
Average 90 stars, based on 1 article reviews
visium hd spatial gene expression kit (10x genomics, human probe panel) - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

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10X Genomics 10x visium spatial gene expression kit
a , Hematoxylin and eosin (H&E; left panel) of lung tumour biopsy sample taken 35 days post-GCAR1 treatment, with (remaining panels) IHC staining for the CAR target GPNMB; TFE3 to mark tumor cells; CD3 to identify all T cells; MYC to identify GCAR1 cells. Scale bars = 100 μm. b , Spatial plot of GPNMB gene expression across three samples profiled with <t>Visium</t> HD, including <t>the</t> <t>ASPS-3</t> patient primary tumor and 2 research core biopsies. c , H&E plots of the spatially profiled samples in (b), with spatial plots of gene expression program usage values, and top 10 scoring genes per program (heatmaps). d , Barplots of the proportion of 24 μm bins per sample that have a minimum usage of each program (usage >0.05). Primary (grey); biopsy (green). Biopsy samples are merged together. e , Pearson correlation between spatial GPNMB expression in each sample type (rows) and spatial program usage (columns). f , Heatmap plot of the inverse rank of selected genes (rows) in each program (columns). Values indicate the relative importance of these genes to defining a given program. g , Pearson correlation of gene expression (rows) and program usage (columns) values in the biopsy samples. Checkpoint receptor genes with high correlation to Program 9 (CD8 T cells) are boxed in black; ligands are boxed in red when involving tumor or vascular programs. h , Dot plot of T cell program co-usage within T cell spatial niches in the biopsy samples. Niches are T cell positive bins stratified based on the additional presence of fibroblasts (niche 1), pericytes and endothelial cells (niche 2), or the absence of those stromal components (niche 3; i.e. tumor). Within each T cell niche, program co-usage is calculated for each of 15 programs, setting bins with usage to 1, otherwise 0. The proportion of 1 vs 0 bins are summarized for each niche. i , Schematic of the strategy for T cell-proximal gene expression analysis performed in panel (j). Each 24 μm bin positive for a T cell (based on expression of any T cell gene, including (CD3 components, CD4, CD8A, or GCAR) was considered to be within the region of interest, while the remaining bins were considered outside. The radius around each T cell was increased by 1, to encompass up to 3 nearest neighbours. j , Proportion of bins within and outside T cell regions in each sample (primary tumor, biopsy cores, xenograft), positive for expression of PD1 (top row) and PDL1 (bottom row). k, Heatmap of Student’s t-test (two-sided) p-values among pairs of regions (n=4 values per region) from panel (j).
10x Visium Spatial Gene Expression Kit, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/10x+visium+spatial+gene+expression+kit/visium+spatial+gene+expression+slides/pmc11830078-311-1-7
Average 90 stars, based on 1 article reviews
10x visium spatial gene expression kit - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

Image Search Results


a , Hematoxylin and eosin (H&E; left panel) of lung tumour biopsy sample taken 35 days post-GCAR1 treatment, with (remaining panels) IHC staining for the CAR target GPNMB; TFE3 to mark tumor cells; CD3 to identify all T cells; MYC to identify GCAR1 cells. Scale bars = 100 μm. b , Spatial plot of GPNMB gene expression across three samples profiled with Visium HD, including the ASPS-3 patient primary tumor and 2 research core biopsies. c , H&E plots of the spatially profiled samples in (b), with spatial plots of gene expression program usage values, and top 10 scoring genes per program (heatmaps). d , Barplots of the proportion of 24 μm bins per sample that have a minimum usage of each program (usage >0.05). Primary (grey); biopsy (green). Biopsy samples are merged together. e , Pearson correlation between spatial GPNMB expression in each sample type (rows) and spatial program usage (columns). f , Heatmap plot of the inverse rank of selected genes (rows) in each program (columns). Values indicate the relative importance of these genes to defining a given program. g , Pearson correlation of gene expression (rows) and program usage (columns) values in the biopsy samples. Checkpoint receptor genes with high correlation to Program 9 (CD8 T cells) are boxed in black; ligands are boxed in red when involving tumor or vascular programs. h , Dot plot of T cell program co-usage within T cell spatial niches in the biopsy samples. Niches are T cell positive bins stratified based on the additional presence of fibroblasts (niche 1), pericytes and endothelial cells (niche 2), or the absence of those stromal components (niche 3; i.e. tumor). Within each T cell niche, program co-usage is calculated for each of 15 programs, setting bins with usage to 1, otherwise 0. The proportion of 1 vs 0 bins are summarized for each niche. i , Schematic of the strategy for T cell-proximal gene expression analysis performed in panel (j). Each 24 μm bin positive for a T cell (based on expression of any T cell gene, including (CD3 components, CD4, CD8A, or GCAR) was considered to be within the region of interest, while the remaining bins were considered outside. The radius around each T cell was increased by 1, to encompass up to 3 nearest neighbours. j , Proportion of bins within and outside T cell regions in each sample (primary tumor, biopsy cores, xenograft), positive for expression of PD1 (top row) and PDL1 (bottom row). k, Heatmap of Student’s t-test (two-sided) p-values among pairs of regions (n=4 values per region) from panel (j).

Journal: medRxiv

Article Title: Development and first-in-human CAR T therapy against the pathognomonic MiT-fusion driven protein GPNMB

doi: 10.1101/2025.02.26.24319604

Figure Lengend Snippet: a , Hematoxylin and eosin (H&E; left panel) of lung tumour biopsy sample taken 35 days post-GCAR1 treatment, with (remaining panels) IHC staining for the CAR target GPNMB; TFE3 to mark tumor cells; CD3 to identify all T cells; MYC to identify GCAR1 cells. Scale bars = 100 μm. b , Spatial plot of GPNMB gene expression across three samples profiled with Visium HD, including the ASPS-3 patient primary tumor and 2 research core biopsies. c , H&E plots of the spatially profiled samples in (b), with spatial plots of gene expression program usage values, and top 10 scoring genes per program (heatmaps). d , Barplots of the proportion of 24 μm bins per sample that have a minimum usage of each program (usage >0.05). Primary (grey); biopsy (green). Biopsy samples are merged together. e , Pearson correlation between spatial GPNMB expression in each sample type (rows) and spatial program usage (columns). f , Heatmap plot of the inverse rank of selected genes (rows) in each program (columns). Values indicate the relative importance of these genes to defining a given program. g , Pearson correlation of gene expression (rows) and program usage (columns) values in the biopsy samples. Checkpoint receptor genes with high correlation to Program 9 (CD8 T cells) are boxed in black; ligands are boxed in red when involving tumor or vascular programs. h , Dot plot of T cell program co-usage within T cell spatial niches in the biopsy samples. Niches are T cell positive bins stratified based on the additional presence of fibroblasts (niche 1), pericytes and endothelial cells (niche 2), or the absence of those stromal components (niche 3; i.e. tumor). Within each T cell niche, program co-usage is calculated for each of 15 programs, setting bins with usage to 1, otherwise 0. The proportion of 1 vs 0 bins are summarized for each niche. i , Schematic of the strategy for T cell-proximal gene expression analysis performed in panel (j). Each 24 μm bin positive for a T cell (based on expression of any T cell gene, including (CD3 components, CD4, CD8A, or GCAR) was considered to be within the region of interest, while the remaining bins were considered outside. The radius around each T cell was increased by 1, to encompass up to 3 nearest neighbours. j , Proportion of bins within and outside T cell regions in each sample (primary tumor, biopsy cores, xenograft), positive for expression of PD1 (top row) and PDL1 (bottom row). k, Heatmap of Student’s t-test (two-sided) p-values among pairs of regions (n=4 values per region) from panel (j).

Article Snippet: The Visium HD Spatial Gene Expression Kit (10x Genomics, human probe panel) was used to profile two ASPS biopsy samples, one region of the primary tumor, and a xenograft sample.

Techniques: Immunohistochemistry, Gene Expression, Expressing