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10X Genomics spatial transcriptomic data
Global Moran’s index revealing three spatial autocorrelation patterns. Clustered, z > 1.65 and P < 0.1; random, –1.65 < z < 1.65 and P > 0.1; dispersed, z < –1.65 and P < 0.1. ST, spatial <t>transcriptomic;</t> CI, confidence interval.
Spatial Transcriptomic Data, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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1) Product Images from "Detection of differentially expressed genes in spatial transcriptomics data by spatial analysis of spatial transcriptomics: A novel method based on spatial statistics"

Article Title: Detection of differentially expressed genes in spatial transcriptomics data by spatial analysis of spatial transcriptomics: A novel method based on spatial statistics

Journal: Frontiers in Neuroscience

doi: 10.3389/fnins.2022.1086168

Global Moran’s index revealing three spatial autocorrelation patterns. Clustered, z > 1.65 and P < 0.1; random, –1.65 < z < 1.65 and P > 0.1; dispersed, z < –1.65 and P < 0.1. ST, spatial transcriptomic; CI, confidence interval.
Figure Legend Snippet: Global Moran’s index revealing three spatial autocorrelation patterns. Clustered, z > 1.65 and P < 0.1; random, –1.65 < z < 1.65 and P > 0.1; dispersed, z < –1.65 and P < 0.1. ST, spatial transcriptomic; CI, confidence interval.

Techniques Used:

Differentially expressed genes (DEGs) in the different brain regions. (A) Brain region. ROI indicates sensorimotor cortex. (B) Yellow area indicates sensorimotor cortex in HE images. (C) Arpp19 of ST map. (D) Hotspot of Arpp19 . (E) DEGs in the sensorimotor cortex. Ratio = The number of H-H spots in sensorimotor cortex/The total number of spots in the section. (F) Septicity of DEGs in the sensorimotor cortex. Ratio = The number of H-H spots in each region/The total number of H-H spots. (G) Marker genes of each brain region. ST, spatial transcriptomic.
Figure Legend Snippet: Differentially expressed genes (DEGs) in the different brain regions. (A) Brain region. ROI indicates sensorimotor cortex. (B) Yellow area indicates sensorimotor cortex in HE images. (C) Arpp19 of ST map. (D) Hotspot of Arpp19 . (E) DEGs in the sensorimotor cortex. Ratio = The number of H-H spots in sensorimotor cortex/The total number of spots in the section. (F) Septicity of DEGs in the sensorimotor cortex. Ratio = The number of H-H spots in each region/The total number of H-H spots. (G) Marker genes of each brain region. ST, spatial transcriptomic.

Techniques Used: Marker

Downregulated DEGs revealed by saSpatial. (A) Bubble plots of top20 DEGs. P -values are indicated by circle size; scale adjacent to the plot. The rate difference are indicated by color. NC, normal control. P, penumbra. Typical DEGs of (B) ischemic core and (C) penumbra. N = 3. ST, spatial transcriptomic; CI, confidence interval.
Figure Legend Snippet: Downregulated DEGs revealed by saSpatial. (A) Bubble plots of top20 DEGs. P -values are indicated by circle size; scale adjacent to the plot. The rate difference are indicated by color. NC, normal control. P, penumbra. Typical DEGs of (B) ischemic core and (C) penumbra. N = 3. ST, spatial transcriptomic; CI, confidence interval.

Techniques Used: Control

Differentially expressed genes (DEGs) in the cortex layers. (A) Top 3 DEGs in the layers. (B) Typical DEGs. ST, spatial transcriptomic.
Figure Legend Snippet: Differentially expressed genes (DEGs) in the cortex layers. (A) Top 3 DEGs in the layers. (B) Typical DEGs. ST, spatial transcriptomic.

Techniques Used:

Heterogenicity of DEGs within the ischemic cortex. (A) Six layers of cortex in the ischemic cortex. (B) Typical DEGs. (C) ST map and Hotspot of typical DEGs. ST, spatial transcriptomic.
Figure Legend Snippet: Heterogenicity of DEGs within the ischemic cortex. (A) Six layers of cortex in the ischemic cortex. (B) Typical DEGs. (C) ST map and Hotspot of typical DEGs. ST, spatial transcriptomic.

Techniques Used:

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Spatial Transcriptomics:

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Article Snippet: 29 Testicular aging is a key driver of declining male reproductive health, but a comprehensive 30 understanding of its underlying epigenetic drivers is lacking.. To address this, we construct a 31 multiomics aging atlas by integrating single-cell RNA sequencing, single-cell assay for 32 transposase-accessible chromatin sequencing (scATAC-seq), and spatial transcriptomics of 33 young and aged mouse testes.. Our analysis reveals that altered chromatin accessibility 34 accompanies transcriptional dysregulation and identifies spermatogonial stem cells (SSCs) as 35 the most epigenetically vulnerable population.

Sequencing:

Article Title: Single-cell multiomics gene regulatory landscape reveals impaired spermatogonial stem cells and macrophage-driven inflammaging during testicular aging.
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Gene Expression:

Article Title: Single-cell multiomics gene regulatory landscape reveals impaired spermatogonial stem cells and macrophage-driven inflammaging during testicular aging.
Article Snippet: 29 Testicular aging is a key driver of declining male reproductive health, but a comprehensive 30 understanding of its underlying epigenetic drivers is lacking.. To address this, we construct a 31 multiomics aging atlas by integrating single-cell RNA sequencing, single-cell assay for 32 transposase-accessible chromatin sequencing (scATAC-seq), and spatial transcriptomics of 33 young and aged mouse testes.. Our analysis reveals that altered chromatin accessibility 34 accompanies transcriptional dysregulation and identifies spermatogonial stem cells (SSCs) as 35 the most epigenetically vulnerable population.

Single Cell:

Article Title: Spatial single-cell landscape of tumor-associated macrophages and their crosstalk with the tumor microenvironment.
Article Snippet: .. To minimize batch effects caused by differences in sequencing platforms and methodologies, all single-cell and spatial transcriptomic data were obtained exclusively from the 10x Genomics and 10x Visium platforms. ..

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In Situ:

Article Title: SARS-CoV-2 infection and vaccination elicit distinct pharyngeal mucosal B cell responses in children.
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Formalin-fixed Paraffin-Embedded:

Article Title: SARS-CoV-2 infection and vaccination elicit distinct pharyngeal mucosal B cell responses in children.
Article Snippet: .. Spatial transcriptomic profiling with Xenium In Situ platform Slides were prepared following the manufacturer’s instructions and workflow for FFPE tissue samples (CG000578 Rev A; 10x Genomics). .. A 5-μm section from the tissue block containing the same paired tonsil and adenoid samples (one from INF donor and one from VAC donor) used for immunofluorescence were carefully attached to the sample area on a Xenium slide (Histoserv, MD).

In Vivo:

Article Title: An antioxidant therapy elicits distinct transcriptome responses in 22q11-deleted upper layer cortical projection neurons.
Article Snippet: .. To assess L 2/3 PN transcriptional responses that underlie NAC’s therapeutic effects in vivo, we first established that spatial transcriptomic RNA quantification in situ (10X Genomics Xenium) securely identifies L 2/3 PNs and their neighbors, thus ensuring that transcriptional states can be assessed in intact cortices of early post-natal WT, LgDel, LgDel + NAC and WT + NAC L 2/3 mice. ..

RNA sequencing:

Article Title: The Role of Tumor Necrosis Factor Signaling in Atherosclerosis and Stroke
Article Snippet: .. To characterise TNF signaling within atherosclerotic plaques, we analysed two publicly available datasets: (i) an integrated single-cell RNA-sequencing (scRNA-seq) atlas of 259,116 cells from human carotid, coronary, and femoral plaques (73 donors), and (ii) Xenium (10x Genomics) spatial transcriptomic data comprising 120,164 cells from carotid endarterectomy specimens with pathologist-annotated subregions (12 donors). ..



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Image Search Results


Single-nucleus transcriptome and spatial transcriptomics landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

Journal: Frontiers in Immunology

Article Title: Single-nucleus and spatial transcriptomics reveal intestinal cellular heterogeneity, differentiation, and cell communication mechanisms in SAP-induced intestinal injury

doi: 10.3389/fimmu.2026.1719902

Figure Lengend Snippet: Single-nucleus transcriptome and spatial transcriptomics landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

Article Snippet: The spatial transcriptomics data were obtained according to the protocol of STOmics Gene Expression Set-S1 on the website ( https://www.stomics.tech/ ), which is an improved version of initial procedures.

Techniques: Spatial Transcriptomics, Staining, Marker