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10X Genomics spatial transcriptomic sequencing
Spatial Transcriptomic Sequencing, 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
https://www.bioz.com/product/spatial+transcriptome+sequencing/data+spatial+transcriptomic/pm41411065-283-11-14
Average 86 stars, based on 1 article reviews
spatial transcriptomic sequencing - by Bioz Stars, 2026-11
86/100 stars

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Related Articles

Spatial Transcriptomics:

Article Title: Single-cell and spatial transcriptomics unveil myeloid-lymphoid crosstalk and the dermal immune niche underlying palmoplantar pustulosis.
Article Snippet: This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability.. This version will undergo additional copyediting, typesetting and review before it is published in its final form.. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article.

Article Title: Type I interferon drives T cell cytotoxicity by upregulation of interferon regulatory factor 7 in autoimmune kidney diseases in mice.
Article Snippet: .. Sequencing-based spatial transcriptomics analysis For spatial transcriptomics (ST), formalin-fixed paraffin-embedded (FFPE) tissue sections of kidney biopsies from ANCA-GN patients were transferred on Visium (10x Genomics) slides (spatial for FFPE gene expression human transcriptome) and processed following the manufacturer’s instructions. .. Next-generation sequencing was performed using an Illumina NovaSeq 6000 aiming at 25,000 reads per spot (PE150).

Article Title: 4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions
Article Snippet: .. Spatial Transcriptomics data was generated using 10x Genomics Visium V2 CytAssist Spatial Gene Expression Mouse Transcriptome Assay (#1000445) for FFPE tissue as per user’s guide. .. The resulting libraries were sequenced on an Illumina NovaSeqX sequencer with pair-end 2×150 bp targeting 300 million reads per sample.

Sequencing:

Article Title: Single-cell and spatial transcriptomics unveil myeloid-lymphoid crosstalk and the dermal immune niche underlying palmoplantar pustulosis.
Article Snippet: This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability.. This version will undergo additional copyediting, typesetting and review before it is published in its final form.. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article.

Article Title: Novel insights into kidney disease: the scRNA-seq and spatial transcriptomics approaches: a literature review.
Article Snippet: .. Recently, 10X Genomics released Visium spatial transcriptome sequencing, an improved version of this technology, which offers significantly enhanced resolution and sensitivity [81]. ..

Article Title: Spatially-resolved molecular sex differences at single cell resolution in the adult human hypothalamus
Article Snippet: .. To better understand sex-differentiated gene expression at cellular and spatial resolution in the human VMH and ARC, we performed Visium spatial gene expression profiling followed by Xenium in situ sequencing (10x Genomics) on adjacent sections of postmortem human HYP tissue from male and female adult neurotypical donors ( N =4 per sex, ). ..

Article Title: Type I interferon drives T cell cytotoxicity by upregulation of interferon regulatory factor 7 in autoimmune kidney diseases in mice.
Article Snippet: .. Sequencing-based spatial transcriptomics analysis For spatial transcriptomics (ST), formalin-fixed paraffin-embedded (FFPE) tissue sections of kidney biopsies from ANCA-GN patients were transferred on Visium (10x Genomics) slides (spatial for FFPE gene expression human transcriptome) and processed following the manufacturer’s instructions. .. Next-generation sequencing was performed using an Illumina NovaSeq 6000 aiming at 25,000 reads per spot (PE150).

Article Title: Multiomic Analysis Reveals an IFN-driven Cellular Landscape Effectively Targeted by Ruxolitinib in Hailey-Hailey Disease
Article Snippet: Libraries were sequenced on Illumina NovaSeq 6000 using S2 flow cell with a 28-10-10-90 cycle configuration (paired-end: R1 = 28 bp, i7 = 10 bp, i5 = 10 bp, R2 = 90 bp). .. Sequencing reads were demultiplexed and aligned to the human reference transcriptome (GRCh38-2020-A from 10x Genomics). .. Libraries were sequenced on Illumina NovaSeq 6000 using S2 flow cell with a 28-10-10-90 cycle configuration (paired-end: R1 = 28 bp, i7 = 10 bp, i5 = 10 bp, R2 = 90 bp).

Article Title: Multi-omics reveals the polyethylene terephthalate carcinogenicity: Cancer progression and immune microenvironment.
Article Snippet: .. We obtained spatial transcriptome sequencing data from GEO with 10xgenomics, where the data for the three cancer types were obtained from GEO’s GSE203612 cohort, and for NSCLC we obtained the detailed genetic information of patients from 10xgenomics (https://www .10xgenomics.com/cn/datasets) (Table S5). ..

Article Title: Spatiotemporally transcriptomic analyses of floral buds reveal the high-resolution landscape of flower development and dormancy regulation in peach
Article Snippet: .. Flower bud samples used for spatial transcriptome sequencing (10x Genomics Visium platform) were collected for three time points (20 December, 18 January, and 15 February corresponding to dormancy, dormancy release, and eco-dormancy, respectively) from 10-year-old trees. ..

Generated:

Article Title: Single-cell and spatial transcriptomics unveil myeloid-lymphoid crosstalk and the dermal immune niche underlying palmoplantar pustulosis.
Article Snippet: This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability.. This version will undergo additional copyediting, typesetting and review before it is published in its final form.. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article.

Article Title: 4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions
Article Snippet: .. Spatial Transcriptomics data was generated using 10x Genomics Visium V2 CytAssist Spatial Gene Expression Mouse Transcriptome Assay (#1000445) for FFPE tissue as per user’s guide. .. The resulting libraries were sequenced on an Illumina NovaSeqX sequencer with pair-end 2×150 bp targeting 300 million reads per sample.

Gene Expression:

Article Title: Spatially-resolved molecular sex differences at single cell resolution in the adult human hypothalamus
Article Snippet: .. To better understand sex-differentiated gene expression at cellular and spatial resolution in the human VMH and ARC, we performed Visium spatial gene expression profiling followed by Xenium in situ sequencing (10x Genomics) on adjacent sections of postmortem human HYP tissue from male and female adult neurotypical donors ( N =4 per sex, ). ..

Article Title: Type I interferon drives T cell cytotoxicity by upregulation of interferon regulatory factor 7 in autoimmune kidney diseases in mice.
Article Snippet: .. Sequencing-based spatial transcriptomics analysis For spatial transcriptomics (ST), formalin-fixed paraffin-embedded (FFPE) tissue sections of kidney biopsies from ANCA-GN patients were transferred on Visium (10x Genomics) slides (spatial for FFPE gene expression human transcriptome) and processed following the manufacturer’s instructions. .. Next-generation sequencing was performed using an Illumina NovaSeq 6000 aiming at 25,000 reads per spot (PE150).

Article Title: 4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions
Article Snippet: .. Spatial Transcriptomics data was generated using 10x Genomics Visium V2 CytAssist Spatial Gene Expression Mouse Transcriptome Assay (#1000445) for FFPE tissue as per user’s guide. .. The resulting libraries were sequenced on an Illumina NovaSeqX sequencer with pair-end 2×150 bp targeting 300 million reads per sample.

In Situ:

Article Title: Spatially-resolved molecular sex differences at single cell resolution in the adult human hypothalamus
Article Snippet: .. To better understand sex-differentiated gene expression at cellular and spatial resolution in the human VMH and ARC, we performed Visium spatial gene expression profiling followed by Xenium in situ sequencing (10x Genomics) on adjacent sections of postmortem human HYP tissue from male and female adult neurotypical donors ( N =4 per sex, ). ..

Formalin-fixed Paraffin-Embedded:

Article Title: Type I interferon drives T cell cytotoxicity by upregulation of interferon regulatory factor 7 in autoimmune kidney diseases in mice.
Article Snippet: .. Sequencing-based spatial transcriptomics analysis For spatial transcriptomics (ST), formalin-fixed paraffin-embedded (FFPE) tissue sections of kidney biopsies from ANCA-GN patients were transferred on Visium (10x Genomics) slides (spatial for FFPE gene expression human transcriptome) and processed following the manufacturer’s instructions. .. Next-generation sequencing was performed using an Illumina NovaSeq 6000 aiming at 25,000 reads per spot (PE150).

Article Title: 4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions
Article Snippet: .. Spatial Transcriptomics data was generated using 10x Genomics Visium V2 CytAssist Spatial Gene Expression Mouse Transcriptome Assay (#1000445) for FFPE tissue as per user’s guide. .. The resulting libraries were sequenced on an Illumina NovaSeqX sequencer with pair-end 2×150 bp targeting 300 million reads per sample.



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(A) Schematic showing the <t>sequencing</t> chip of stereo-seq technology. (B) Visualization of the spatial <t>transcriptome</t> of the coronal brain slice containing RSG region. Scale bars, 300 μm. (C) Clustering analysis of RSG cells visualized by Uniform manifold approximation and projection (UMAP) dimensional reduction. (D) Spatial distribution of different clusters of glutamatergic and GABAergic neurons in RSG. (E) Dotplot showing the Cckbr mRNA expression in different clusters of RSG glutamatergic and GABAergic neurons. (F) Representative image showing the expression of Cckbr protein in RSG. Scale bars, 100 μm. (G) Normalized fluorescence intensity of Cckbr protein across the different layers of RSG. (H) Area under curve of the fluorescence intensity of Cckbr protein in different layers of RSG ( n = 5). One-way ANOVA (F (3, 16) = 72.32, p < 0.0001) followed by Tukey’s post hoc test, **** p < 0.0001. (I) Left: representative images showing the expression of Cckbr protein in RSG layer 5 of rats in Saline SA and Heroin SA groups. Scale bars, 50 μm. Right: average expression level of Cckbr protein in RSG layer 5 of Saline SA ( n = 3) vs Heroin SA ( n = 3) rats. Mann-Whitney test, * p < 0.05. (J) Recognition and separation of different layers in RSG. Scale bars, 200 μm. (K) Heatmap showing the differential IEGs expression in RSG layer 2/3, layer 5 and layer 6. Multiple Mann-Whitney test followed by False Discovery Rate (FDR) post test, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 vs L2/3, #### p < 0.0001 vs L6. (L) Left: schematic of the viral strategy for chemogenetic inhibition of ZI neurons and the representative image showing the hM4Di expression in ZI. Scale bars, 100 μm. Right: number of responses of rats in EGFP control group ( n = 10) vs hM4Di group ( n = 9). Two-way ANOVA (F (1,34) = 1.635, p = 0.2096) followed by Sidak’s post hoc test, * p < 0.05. (M) Left: representative images showing the expression of TH and c-fos (top) or Gad and c-fos (bottom) in ZI of rats in ABB group and ABA group. Scale bars, 100 μm. Right: number of c-fos-positive cells in TH + or Gad + neurons in ZI of ABB group ( n = 4) vs ABA group ( n = 5). Two-way ANOVA (F (1,14) = 25.68, p < 0.001) followed by Sidak’s post hoc test, **** p < 0.0001, ns, no significant difference. (N) Left: representative image showing the co-localization of Cckbr and the mCherry-labeled ZI-projecting neurons in RSG layer 5. Scale bars, 50 μm. Right: percentage of Cckbr + and Cckbr - cells in mCherry + neurons in RSG layer 5 ( n = 3). (O) Left: representative images showing the expression of mCherry and c-fos in RSG layer 5 of rats in ABB group and ABA group. Scale bars, 50 μm. Right: number of mCherry + c-fos + neurons in RSG layer 5 of ABB group ( n = 5) vs ABA group ( n = 3) and percentage of Fos + and Fos - nuclei in mCherry + cells in RSG layer 5 in ABA group. Unpaired t test, ** p < 0.01, **** p < 0.0001. (P) Top: representative images showing the co-localization of Vgat , Vglut2 and mCherry in ZI, and percentage of mCherry-positive cells in Vglut2 + and Vgat + neurons in ZI ( n = 4). Unpaired t test, **** p < 0.0001. Bottom: representative images showing the co-localization of Vgat , mCherry and Fos in ZI after context-induced relapse, and percentage of Fos + and Fos - nuclei in Vgat + mCherry + cells in ZI after context-induced relaspe ( n = 4). Scale bars, 100 μm and 50 μm. Unpaired t test, **** p < 0.0001. (Q) Schematic showing the training and perfusion schedule, the viral strategy for Cckbr knockout and chemogenetic activation of RSG glutamatergic neurons and the representative image of RSG axon terminals in ZI. Scale bars, 500 μm. (R) Left: representative images showing the c-fos expression in ZI adjacent to the axon terminals of RSG glutamatergic neurons in rats of control, Cckbr knockdown and Cckbr knockdown with hM3Dq groups after context-induced relapse. Scale bars, 50 μm. Right: number of c-fos-positive neurons in ZI of rats in control ( n = 4), Cckbr knockdown ( n = 5) and Cckbr knockdown with hM3Dq ( n = 6) groups after context-induced relapse. One-way ANOVA (F( 2, 12) = 12.30, p < 0.01) followed by Tukey’s post hoc test, ** p < 0.01, ns, no significant difference. (S) Schematic of the viral strategy for chemogenetic inhibition of RSG Glu-Cckbr -ZI GABA circuit. (T) Number of responses in mCherry control group ( n = 8) and hM4Di group ( n = 9) during test 1 with clozapine injection (i.p.). Two-way ANOVA (F (1,30) = 6.145, p < 0.05) followed by Sidak’s post hoc test, * p < 0.05. (U) Number of responses in mCherry control group ( n = 8) and hM4Di group ( n = 9) during test 2 with vehicle injection. Two-way RM ANOVA (F (1,30) = 0.3091, p = 0.5824) followed by Sidak’s post hoc test. ns, no significant difference.
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(A) Schematic showing the sequencing chip of stereo-seq technology. (B) Visualization of the spatial transcriptome of the coronal brain slice containing RSG region. Scale bars, 300 μm. (C) Clustering analysis of RSG cells visualized by Uniform manifold approximation and projection (UMAP) dimensional reduction. (D) Spatial distribution of different clusters of glutamatergic and GABAergic neurons in RSG. (E) Dotplot showing the Cckbr mRNA expression in different clusters of RSG glutamatergic and GABAergic neurons. (F) Representative image showing the expression of Cckbr protein in RSG. Scale bars, 100 μm. (G) Normalized fluorescence intensity of Cckbr protein across the different layers of RSG. (H) Area under curve of the fluorescence intensity of Cckbr protein in different layers of RSG ( n = 5). One-way ANOVA (F (3, 16) = 72.32, p < 0.0001) followed by Tukey’s post hoc test, **** p < 0.0001. (I) Left: representative images showing the expression of Cckbr protein in RSG layer 5 of rats in Saline SA and Heroin SA groups. Scale bars, 50 μm. Right: average expression level of Cckbr protein in RSG layer 5 of Saline SA ( n = 3) vs Heroin SA ( n = 3) rats. Mann-Whitney test, * p < 0.05. (J) Recognition and separation of different layers in RSG. Scale bars, 200 μm. (K) Heatmap showing the differential IEGs expression in RSG layer 2/3, layer 5 and layer 6. Multiple Mann-Whitney test followed by False Discovery Rate (FDR) post test, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 vs L2/3, #### p < 0.0001 vs L6. (L) Left: schematic of the viral strategy for chemogenetic inhibition of ZI neurons and the representative image showing the hM4Di expression in ZI. Scale bars, 100 μm. Right: number of responses of rats in EGFP control group ( n = 10) vs hM4Di group ( n = 9). Two-way ANOVA (F (1,34) = 1.635, p = 0.2096) followed by Sidak’s post hoc test, * p < 0.05. (M) Left: representative images showing the expression of TH and c-fos (top) or Gad and c-fos (bottom) in ZI of rats in ABB group and ABA group. Scale bars, 100 μm. Right: number of c-fos-positive cells in TH + or Gad + neurons in ZI of ABB group ( n = 4) vs ABA group ( n = 5). Two-way ANOVA (F (1,14) = 25.68, p < 0.001) followed by Sidak’s post hoc test, **** p < 0.0001, ns, no significant difference. (N) Left: representative image showing the co-localization of Cckbr and the mCherry-labeled ZI-projecting neurons in RSG layer 5. Scale bars, 50 μm. Right: percentage of Cckbr + and Cckbr - cells in mCherry + neurons in RSG layer 5 ( n = 3). (O) Left: representative images showing the expression of mCherry and c-fos in RSG layer 5 of rats in ABB group and ABA group. Scale bars, 50 μm. Right: number of mCherry + c-fos + neurons in RSG layer 5 of ABB group ( n = 5) vs ABA group ( n = 3) and percentage of Fos + and Fos - nuclei in mCherry + cells in RSG layer 5 in ABA group. Unpaired t test, ** p < 0.01, **** p < 0.0001. (P) Top: representative images showing the co-localization of Vgat , Vglut2 and mCherry in ZI, and percentage of mCherry-positive cells in Vglut2 + and Vgat + neurons in ZI ( n = 4). Unpaired t test, **** p < 0.0001. Bottom: representative images showing the co-localization of Vgat , mCherry and Fos in ZI after context-induced relapse, and percentage of Fos + and Fos - nuclei in Vgat + mCherry + cells in ZI after context-induced relaspe ( n = 4). Scale bars, 100 μm and 50 μm. Unpaired t test, **** p < 0.0001. (Q) Schematic showing the training and perfusion schedule, the viral strategy for Cckbr knockout and chemogenetic activation of RSG glutamatergic neurons and the representative image of RSG axon terminals in ZI. Scale bars, 500 μm. (R) Left: representative images showing the c-fos expression in ZI adjacent to the axon terminals of RSG glutamatergic neurons in rats of control, Cckbr knockdown and Cckbr knockdown with hM3Dq groups after context-induced relapse. Scale bars, 50 μm. Right: number of c-fos-positive neurons in ZI of rats in control ( n = 4), Cckbr knockdown ( n = 5) and Cckbr knockdown with hM3Dq ( n = 6) groups after context-induced relapse. One-way ANOVA (F( 2, 12) = 12.30, p < 0.01) followed by Tukey’s post hoc test, ** p < 0.01, ns, no significant difference. (S) Schematic of the viral strategy for chemogenetic inhibition of RSG Glu-Cckbr -ZI GABA circuit. (T) Number of responses in mCherry control group ( n = 8) and hM4Di group ( n = 9) during test 1 with clozapine injection (i.p.). Two-way ANOVA (F (1,30) = 6.145, p < 0.05) followed by Sidak’s post hoc test, * p < 0.05. (U) Number of responses in mCherry control group ( n = 8) and hM4Di group ( n = 9) during test 2 with vehicle injection. Two-way RM ANOVA (F (1,30) = 0.3091, p = 0.5824) followed by Sidak’s post hoc test. ns, no significant difference.

Journal: bioRxiv

Article Title: A non-canonical top-down pathway regulating relapse to opioid

doi: 10.1101/2025.11.27.691060

Figure Lengend Snippet: (A) Schematic showing the sequencing chip of stereo-seq technology. (B) Visualization of the spatial transcriptome of the coronal brain slice containing RSG region. Scale bars, 300 μm. (C) Clustering analysis of RSG cells visualized by Uniform manifold approximation and projection (UMAP) dimensional reduction. (D) Spatial distribution of different clusters of glutamatergic and GABAergic neurons in RSG. (E) Dotplot showing the Cckbr mRNA expression in different clusters of RSG glutamatergic and GABAergic neurons. (F) Representative image showing the expression of Cckbr protein in RSG. Scale bars, 100 μm. (G) Normalized fluorescence intensity of Cckbr protein across the different layers of RSG. (H) Area under curve of the fluorescence intensity of Cckbr protein in different layers of RSG ( n = 5). One-way ANOVA (F (3, 16) = 72.32, p < 0.0001) followed by Tukey’s post hoc test, **** p < 0.0001. (I) Left: representative images showing the expression of Cckbr protein in RSG layer 5 of rats in Saline SA and Heroin SA groups. Scale bars, 50 μm. Right: average expression level of Cckbr protein in RSG layer 5 of Saline SA ( n = 3) vs Heroin SA ( n = 3) rats. Mann-Whitney test, * p < 0.05. (J) Recognition and separation of different layers in RSG. Scale bars, 200 μm. (K) Heatmap showing the differential IEGs expression in RSG layer 2/3, layer 5 and layer 6. Multiple Mann-Whitney test followed by False Discovery Rate (FDR) post test, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 vs L2/3, #### p < 0.0001 vs L6. (L) Left: schematic of the viral strategy for chemogenetic inhibition of ZI neurons and the representative image showing the hM4Di expression in ZI. Scale bars, 100 μm. Right: number of responses of rats in EGFP control group ( n = 10) vs hM4Di group ( n = 9). Two-way ANOVA (F (1,34) = 1.635, p = 0.2096) followed by Sidak’s post hoc test, * p < 0.05. (M) Left: representative images showing the expression of TH and c-fos (top) or Gad and c-fos (bottom) in ZI of rats in ABB group and ABA group. Scale bars, 100 μm. Right: number of c-fos-positive cells in TH + or Gad + neurons in ZI of ABB group ( n = 4) vs ABA group ( n = 5). Two-way ANOVA (F (1,14) = 25.68, p < 0.001) followed by Sidak’s post hoc test, **** p < 0.0001, ns, no significant difference. (N) Left: representative image showing the co-localization of Cckbr and the mCherry-labeled ZI-projecting neurons in RSG layer 5. Scale bars, 50 μm. Right: percentage of Cckbr + and Cckbr - cells in mCherry + neurons in RSG layer 5 ( n = 3). (O) Left: representative images showing the expression of mCherry and c-fos in RSG layer 5 of rats in ABB group and ABA group. Scale bars, 50 μm. Right: number of mCherry + c-fos + neurons in RSG layer 5 of ABB group ( n = 5) vs ABA group ( n = 3) and percentage of Fos + and Fos - nuclei in mCherry + cells in RSG layer 5 in ABA group. Unpaired t test, ** p < 0.01, **** p < 0.0001. (P) Top: representative images showing the co-localization of Vgat , Vglut2 and mCherry in ZI, and percentage of mCherry-positive cells in Vglut2 + and Vgat + neurons in ZI ( n = 4). Unpaired t test, **** p < 0.0001. Bottom: representative images showing the co-localization of Vgat , mCherry and Fos in ZI after context-induced relapse, and percentage of Fos + and Fos - nuclei in Vgat + mCherry + cells in ZI after context-induced relaspe ( n = 4). Scale bars, 100 μm and 50 μm. Unpaired t test, **** p < 0.0001. (Q) Schematic showing the training and perfusion schedule, the viral strategy for Cckbr knockout and chemogenetic activation of RSG glutamatergic neurons and the representative image of RSG axon terminals in ZI. Scale bars, 500 μm. (R) Left: representative images showing the c-fos expression in ZI adjacent to the axon terminals of RSG glutamatergic neurons in rats of control, Cckbr knockdown and Cckbr knockdown with hM3Dq groups after context-induced relapse. Scale bars, 50 μm. Right: number of c-fos-positive neurons in ZI of rats in control ( n = 4), Cckbr knockdown ( n = 5) and Cckbr knockdown with hM3Dq ( n = 6) groups after context-induced relapse. One-way ANOVA (F( 2, 12) = 12.30, p < 0.01) followed by Tukey’s post hoc test, ** p < 0.01, ns, no significant difference. (S) Schematic of the viral strategy for chemogenetic inhibition of RSG Glu-Cckbr -ZI GABA circuit. (T) Number of responses in mCherry control group ( n = 8) and hM4Di group ( n = 9) during test 1 with clozapine injection (i.p.). Two-way ANOVA (F (1,30) = 6.145, p < 0.05) followed by Sidak’s post hoc test, * p < 0.05. (U) Number of responses in mCherry control group ( n = 8) and hM4Di group ( n = 9) during test 2 with vehicle injection. Two-way RM ANOVA (F (1,30) = 0.3091, p = 0.5824) followed by Sidak’s post hoc test. ns, no significant difference.

Article Snippet: The spatial transcriptome sequencing was conducted by Novogene Co. Ltd (Beijing, China).

Techniques: Sequencing, Slice Preparation, Expressing, Fluorescence, Saline, MANN-WHITNEY, Inhibition, Control, Labeling, Knock-Out, Activation Assay, Knockdown, Injection

Investigations on SGMS2—related Cellular and Molecular Interactions in Hepatocellular Carcinoma. a Western blotting analysis of SGMS2 expression in THP—1 cells and differentiated macrophages. Each experiment was independently repeated three times. b , c Apoptosis levels of Huh7 tumor cells co—cultured with control macrophages and SGMS2—overexpressing macrophages were detected by flow cytometry (FCM). d Expression of SGMS2 in spatial transcriptomics sequencing data. e Abundance estimation of the CD56dimCD16highNR4A3high NK cell population by single—sample gene—set enrichment analysis (ssGSEA). f Multiplex immunofluorescence (mIF) images of SGMS2, CD68, CD16, CD56, and NR4A3 markers in 6 human HCC tissue samples. “Zoom macrophage” indicates the aggregation area of SGMS2—positive macrophages, and “Zoom NK cell” represents the CD56dimCD16highNR4A3high NK cells. The scale bar is 50 um or 20 um. g Scatter plots showing the density of CD56dimCD16highNR4A3high NK cells between patients with high and low infiltration of SGMS2—positive macrophages. Statistical analysis was performed using the Mann—Whitney U test. h Pearson correlation analysis of the density of CD56dimCD16highNR4A3high NK cells and the density of SGMS2—positive macrophages. i Kaplan—Meier analysis of OS, RFS, and early RFS in HCC patients with different infiltration densities of SGMS2—positive macrophages and CD56dimCD16highNR4A3high NK cells. Survival distributions were compared using the log—rank test. Statistical significance is indicated as follows: * P < 0.05, ** P < 0.01, *** P < 0.001; ns indicates no significant difference

Journal: Journal of Translational Medicine

Article Title: SGMS2+ macrophages enhance NR4A3hi NK cell infiltration to improve prognosis and PD-1 treatment efficacy in hepatocellular carcinoma

doi: 10.1186/s12967-025-07040-x

Figure Lengend Snippet: Investigations on SGMS2—related Cellular and Molecular Interactions in Hepatocellular Carcinoma. a Western blotting analysis of SGMS2 expression in THP—1 cells and differentiated macrophages. Each experiment was independently repeated three times. b , c Apoptosis levels of Huh7 tumor cells co—cultured with control macrophages and SGMS2—overexpressing macrophages were detected by flow cytometry (FCM). d Expression of SGMS2 in spatial transcriptomics sequencing data. e Abundance estimation of the CD56dimCD16highNR4A3high NK cell population by single—sample gene—set enrichment analysis (ssGSEA). f Multiplex immunofluorescence (mIF) images of SGMS2, CD68, CD16, CD56, and NR4A3 markers in 6 human HCC tissue samples. “Zoom macrophage” indicates the aggregation area of SGMS2—positive macrophages, and “Zoom NK cell” represents the CD56dimCD16highNR4A3high NK cells. The scale bar is 50 um or 20 um. g Scatter plots showing the density of CD56dimCD16highNR4A3high NK cells between patients with high and low infiltration of SGMS2—positive macrophages. Statistical analysis was performed using the Mann—Whitney U test. h Pearson correlation analysis of the density of CD56dimCD16highNR4A3high NK cells and the density of SGMS2—positive macrophages. i Kaplan—Meier analysis of OS, RFS, and early RFS in HCC patients with different infiltration densities of SGMS2—positive macrophages and CD56dimCD16highNR4A3high NK cells. Survival distributions were compared using the log—rank test. Statistical significance is indicated as follows: * P < 0.05, ** P < 0.01, *** P < 0.001; ns indicates no significant difference

Article Snippet: Spatial transcriptomics sequencing data were obtained from http://lifeome.net/supp/livercancer-st/data.htm and analyzed using Seurat in R. Subsequently, SCTtransform normalization was performed.

Techniques: Western Blot, Expressing, Cell Culture, Control, Flow Cytometry, Sequencing, Multiplex Assay, Immunofluorescence, MANN-WHITNEY