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ATCC cell culture mouse brain microvascular ec bend
Cell Culture Mouse Brain Microvascular Ec Bend, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec adult brain dissociation kit
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10X Genomics mouse brain tiny xenium dataset
SpNeigh reveals intermediate cell populations near boundaries in <t>mouse</t> <t>brain</t> <t>Xenium</t> data. ( a ) Spatial plots showing different annotation types. Left: Cells colored by clusters with overlaid boundaries of cluster 2. Middle: Manual cluster-level annotations based on brain anatomy. Right: Reference-based single-cell annotations, with selected subtypes merged. CGE: caudal ganglionic eminence; MGE: medial ganglionic eminence. ( b ) Neighborhood analysis of cluster 2. Top: Boundary and ring regions. Bottom: Cells within boundary and ring regions for region 1, with donut plots showing cluster proportions (labels shown for proportions \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} $\ge$\end{document} 5%). ( c ) Expression of Slc17a7 and Sox10 in cluster 2 cells inside boundaries and surrounding rings. Slc17a7, a marker of cortical excitatory neurons, shows elevated expression in outer cells near the boundary. Sox10 is broadly expressed in oligodendrocytes and remains consistent across both inner and outer cells in cluster 2. ( d ) Boundary 1 of cluster 2 split into discrete edges. ( e ) Spatial weights relative to edge 2 for cortical cells. Black line indicates edge 2. ( f ) Top spatially varying genes identified by RunSpatialDE using weights from edge 2. ( g ) Expression of Ccn2 and Cplx3 near edge 2. Cells include cortical layer 4/5/6 neurons, L6b neurons, astrocytes, and oligodendrocytes. L6b cells are localized along edge 2.
Mouse Brain Tiny Xenium Dataset, 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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10X Genomics mouse brain visium hd dataset
Overview of the SpNeigh workflow. ( a ) Input includes a spatial coordinate data frame ( x, y , cell, cluster) and a normalized expression matrix. Data can originate from platforms such as Xenium, <t>Visium</t> <t>HD,</t> MERFISH, or others. ( b ) Spatial boundary detection and neighborhood extraction. Left: Cluster boundaries are identified after removing spatial outliers based on local k-nearest neighbor density. Right: Ring regions are constructed by buffering outward from the cluster boundaries. Black lines denote cluster boundaries; blue lines indicate outer ring boundaries. ( c ) Spatial weight computation. Cells are assigned weights based on their distance to either the boundary (left) or the centroid (right) of the cluster using inverse distance decay. Weights range from 0 (far) to 1 (close), reflecting proximity. ( d ) Neighborhood composition and interaction analysis. Top: Pie chart showing the proportion of neighboring cell types within the rings. Bottom: Heatmap of spatial interaction scores between focal and neighboring clusters. ( e ) Downstream analyses enabled by SpNeigh. Left: Differential expression analysis between cells of the same cluster in the inner region versus the ring. Middle: Spatial differential expression analysis using smooth functions of distance-based weights. Right: Spatial enrichment analysis quantifying expression bias relative to spatial proximity.
Mouse Brain Visium Hd Dataset, 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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10X Genomics mouse brain dataset
Overview of the SpNeigh workflow. ( a ) Input includes a spatial coordinate data frame ( x, y , cell, cluster) and a normalized expression matrix. Data can originate from platforms such as Xenium, <t>Visium</t> <t>HD,</t> MERFISH, or others. ( b ) Spatial boundary detection and neighborhood extraction. Left: Cluster boundaries are identified after removing spatial outliers based on local k-nearest neighbor density. Right: Ring regions are constructed by buffering outward from the cluster boundaries. Black lines denote cluster boundaries; blue lines indicate outer ring boundaries. ( c ) Spatial weight computation. Cells are assigned weights based on their distance to either the boundary (left) or the centroid (right) of the cluster using inverse distance decay. Weights range from 0 (far) to 1 (close), reflecting proximity. ( d ) Neighborhood composition and interaction analysis. Top: Pie chart showing the proportion of neighboring cell types within the rings. Bottom: Heatmap of spatial interaction scores between focal and neighboring clusters. ( e ) Downstream analyses enabled by SpNeigh. Left: Differential expression analysis between cells of the same cluster in the inner region versus the ring. Middle: Spatial differential expression analysis using smooth functions of distance-based weights. Right: Spatial enrichment analysis quantifying expression bias relative to spatial proximity.
Mouse Brain Dataset, 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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Charles River Laboratories mouse brain lysates
Overview of the SpNeigh workflow. ( a ) Input includes a spatial coordinate data frame ( x, y , cell, cluster) and a normalized expression matrix. Data can originate from platforms such as Xenium, <t>Visium</t> <t>HD,</t> MERFISH, or others. ( b ) Spatial boundary detection and neighborhood extraction. Left: Cluster boundaries are identified after removing spatial outliers based on local k-nearest neighbor density. Right: Ring regions are constructed by buffering outward from the cluster boundaries. Black lines denote cluster boundaries; blue lines indicate outer ring boundaries. ( c ) Spatial weight computation. Cells are assigned weights based on their distance to either the boundary (left) or the centroid (right) of the cluster using inverse distance decay. Weights range from 0 (far) to 1 (close), reflecting proximity. ( d ) Neighborhood composition and interaction analysis. Top: Pie chart showing the proportion of neighboring cell types within the rings. Bottom: Heatmap of spatial interaction scores between focal and neighboring clusters. ( e ) Downstream analyses enabled by SpNeigh. Left: Differential expression analysis between cells of the same cluster in the inner region versus the ring. Middle: Spatial differential expression analysis using smooth functions of distance-based weights. Right: Spatial enrichment analysis quantifying expression bias relative to spatial proximity.
Mouse Brain Lysates, supplied by Charles River Laboratories, 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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10X Genomics xenium mouse brain gene expression panel
Overview of the SpNeigh workflow. ( a ) Input includes a spatial coordinate data frame ( x, y , cell, cluster) and a normalized expression matrix. Data can originate from platforms such as Xenium, <t>Visium</t> <t>HD,</t> MERFISH, or others. ( b ) Spatial boundary detection and neighborhood extraction. Left: Cluster boundaries are identified after removing spatial outliers based on local k-nearest neighbor density. Right: Ring regions are constructed by buffering outward from the cluster boundaries. Black lines denote cluster boundaries; blue lines indicate outer ring boundaries. ( c ) Spatial weight computation. Cells are assigned weights based on their distance to either the boundary (left) or the centroid (right) of the cluster using inverse distance decay. Weights range from 0 (far) to 1 (close), reflecting proximity. ( d ) Neighborhood composition and interaction analysis. Top: Pie chart showing the proportion of neighboring cell types within the rings. Bottom: Heatmap of spatial interaction scores between focal and neighboring clusters. ( e ) Downstream analyses enabled by SpNeigh. Left: Differential expression analysis between cells of the same cluster in the inner region versus the ring. Middle: Spatial differential expression analysis using smooth functions of distance-based weights. Right: Spatial enrichment analysis quantifying expression bias relative to spatial proximity.
Xenium Mouse Brain Gene Expression Panel, 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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ATCC mouse brain endothelial cells
a , b Confocal images of Bdnf iPCKO and littermate control lungs stained for ICAM2 (green) ( a) or ERG (green) and DAPI (blue) ( b ). c Confocal images of Bdnf iPCKO and littermate control lungs showing PDGFRβ-labeled pericytes (green) and DAPI-stained nuclei (blue). d Confocal images of Bdnf iPCKO and littermate control lungs showing EdU (red)-stained ECs (ERG+ , green). e Confocal images of NKX2.1-stained alveolar epithelial cells (gray) and LAMP3+ type 2 alveolar epithelial cells (green) in Bdnf iPCKO and littermate control lungs. f–m Graphs showing the ICAM2-stained vascular density based on 3D reconstruction surface images, as shown in ( a ) ( f ), percentage of ERG+ EC nuclei in total cells ( g ), percentage of PDGFRβ+ cells in total cells ( h ), ratio of ERG+ cells to PDGFRβ+ cells ( i ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( j ), ratio of LAMP3+ AT2 epithelial cells to total cells ( k ), airspace volume ( l ), and lung volume measurement ( m ) in P21 Bdnf iPCKO and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( f – i ), n = 5 ( j–l ), n = 8 ( m ); P -values, unpaired two-tailed Student t -test. n Confocal images of Bdnf iPCKO and control lungs stained for RAGE (gray). o Confocal images showing TrkB immunostaining (gray) in ICAM2+ (red) ECs in pulmonary capillaries. p Validation of expression of Ntrk2 (encoding TrkB) in ECs by scRNA-seq analysis. UMAP plot showing color-coded EC subclusters, namely arterial, venous, general capillary (gCap) and aerocytes (aCap), in P21 lung (left). Ntrk2 expression in gCap <t>endothelial</t> cells (right). q Western blot showing TrkB and Phospho-TrkB (p-TrkB) in Bdnf iPCKO and littermate control total lung lysates. Molecular weight marker (kDa) is indicated. β-Actin is shown as a loading control. Quantitation of p-TrkB/TrkB ratio is shown in the graph below. Data represent mean ± s.e.m. ( n = 4 control and 3 mutants); P -values, unpaired two-tailed Welch’s test. r Confocal images of ICAM2+ (red) and ERG+ (green) endothelial cells, and PDGFRβ+ cells (gray) in EC-specific Ntrk2 iΔEC loss-of-function mutant and littermate control lungs. s Confocal images of Ntrk2 iΔEC and control lungs showing EdU (red)-stained ECs (ERG+, green).Graphs showing the ICAM2-stained vascular density ( t ), percentage of ERG + EC nuclei in total cells ( u ), percentage of PDGFRβ+ cells in total cells ( v ), ratio of ERG+ cells to PDGFRβ+ cells ( w ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( x ), airspace volume ( y ), and lung volume measurement ( z ) in P21 Ntrk2 iΔEC and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( t – x ), n = 5 ( y ), n = 7 ( z ); P -values, unpaired two-tailed Mann–Whitney test in t and unpaired two-tailed Student t -test in ( u–z ). Source data are provided as a Source Data file.
Mouse Brain Endothelial Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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10X Genomics mouse brain dataset rom
a , b Confocal images of Bdnf iPCKO and littermate control lungs stained for ICAM2 (green) ( a) or ERG (green) and DAPI (blue) ( b ). c Confocal images of Bdnf iPCKO and littermate control lungs showing PDGFRβ-labeled pericytes (green) and DAPI-stained nuclei (blue). d Confocal images of Bdnf iPCKO and littermate control lungs showing EdU (red)-stained ECs (ERG+ , green). e Confocal images of NKX2.1-stained alveolar epithelial cells (gray) and LAMP3+ type 2 alveolar epithelial cells (green) in Bdnf iPCKO and littermate control lungs. f–m Graphs showing the ICAM2-stained vascular density based on 3D reconstruction surface images, as shown in ( a ) ( f ), percentage of ERG+ EC nuclei in total cells ( g ), percentage of PDGFRβ+ cells in total cells ( h ), ratio of ERG+ cells to PDGFRβ+ cells ( i ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( j ), ratio of LAMP3+ AT2 epithelial cells to total cells ( k ), airspace volume ( l ), and lung volume measurement ( m ) in P21 Bdnf iPCKO and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( f – i ), n = 5 ( j–l ), n = 8 ( m ); P -values, unpaired two-tailed Student t -test. n Confocal images of Bdnf iPCKO and control lungs stained for RAGE (gray). o Confocal images showing TrkB immunostaining (gray) in ICAM2+ (red) ECs in pulmonary capillaries. p Validation of expression of Ntrk2 (encoding TrkB) in ECs by scRNA-seq analysis. UMAP plot showing color-coded EC subclusters, namely arterial, venous, general capillary (gCap) and aerocytes (aCap), in P21 lung (left). Ntrk2 expression in gCap <t>endothelial</t> cells (right). q Western blot showing TrkB and Phospho-TrkB (p-TrkB) in Bdnf iPCKO and littermate control total lung lysates. Molecular weight marker (kDa) is indicated. β-Actin is shown as a loading control. Quantitation of p-TrkB/TrkB ratio is shown in the graph below. Data represent mean ± s.e.m. ( n = 4 control and 3 mutants); P -values, unpaired two-tailed Welch’s test. r Confocal images of ICAM2+ (red) and ERG+ (green) endothelial cells, and PDGFRβ+ cells (gray) in EC-specific Ntrk2 iΔEC loss-of-function mutant and littermate control lungs. s Confocal images of Ntrk2 iΔEC and control lungs showing EdU (red)-stained ECs (ERG+, green).Graphs showing the ICAM2-stained vascular density ( t ), percentage of ERG + EC nuclei in total cells ( u ), percentage of PDGFRβ+ cells in total cells ( v ), ratio of ERG+ cells to PDGFRβ+ cells ( w ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( x ), airspace volume ( y ), and lung volume measurement ( z ) in P21 Ntrk2 iΔEC and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( t – x ), n = 5 ( y ), n = 7 ( z ); P -values, unpaired two-tailed Mann–Whitney test in t and unpaired two-tailed Student t -test in ( u–z ). Source data are provided as a Source Data file.
Mouse Brain Dataset Rom, 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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ATCC mouse brain microvascular endothelial cell line bend 3
Effects of DOX, miR-196a antagonist, and AP-1 inhibitor on blood-brain barrier (BBB) integrity, tight junction proteins, and annexin A1 expression. A: Quantitative analysis of Evans blue (EB) extravasation (μg/g tissue), occludin, and claudin-5 protein expression in the hippocampus of mice. Data are presented as the mean ± standard deviation (SD). Protein expression was normalized to GAPDH. Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05, ** P < 0.01, *** P < 0.001 versus Control group (group C); # P < 0.05, ## P < 0.01, ### P < 0.001 versus DOX-treated group (group D); ns, not significant (adjusted P > 0.05). B: Representative Western blot bands of occludin and claudin-5 proteins in mouse hippocampal tissues. GAPDH served as the loading control. Bands were selected from three independent experiments with high reproducibility, and integrated optical density (IOD) was quantified using ImageJ software. C: Immunofluorescence staining of annexin A1 (ANXA1) <t>in</t> <t>bEnd.3</t> cells. Green fluorescence indicates ANXA1-positive signals, and blue fluorescence indicates DAPI-stained nuclei. Scale bar = 300 μm. All images were captured with identical exposure parameters. D: Quantitative analysis of the ANXA1-positive area per cell (μm 2 ) in bEnd.3 cells. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05, ** P < 0.01, *** P < 0.001 versus Group C; # P < 0.05, ## P < 0.01, ### P < 0.001 versus Group D; ns, not significant (adjusted P > 0.05).
Mouse Brain Microvascular Endothelial Cell Line Bend 3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


SpNeigh reveals intermediate cell populations near boundaries in mouse brain Xenium data. ( a ) Spatial plots showing different annotation types. Left: Cells colored by clusters with overlaid boundaries of cluster 2. Middle: Manual cluster-level annotations based on brain anatomy. Right: Reference-based single-cell annotations, with selected subtypes merged. CGE: caudal ganglionic eminence; MGE: medial ganglionic eminence. ( b ) Neighborhood analysis of cluster 2. Top: Boundary and ring regions. Bottom: Cells within boundary and ring regions for region 1, with donut plots showing cluster proportions (labels shown for proportions \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} $\ge$\end{document} 5%). ( c ) Expression of Slc17a7 and Sox10 in cluster 2 cells inside boundaries and surrounding rings. Slc17a7, a marker of cortical excitatory neurons, shows elevated expression in outer cells near the boundary. Sox10 is broadly expressed in oligodendrocytes and remains consistent across both inner and outer cells in cluster 2. ( d ) Boundary 1 of cluster 2 split into discrete edges. ( e ) Spatial weights relative to edge 2 for cortical cells. Black line indicates edge 2. ( f ) Top spatially varying genes identified by RunSpatialDE using weights from edge 2. ( g ) Expression of Ccn2 and Cplx3 near edge 2. Cells include cortical layer 4/5/6 neurons, L6b neurons, astrocytes, and oligodendrocytes. L6b cells are localized along edge 2.

Journal: NAR Genomics and Bioinformatics

Article Title: SpNeigh: spatial neighborhood and differential expression analysis for high-resolution spatial transcriptomics

doi: 10.1093/nargab/lqag039

Figure Lengend Snippet: SpNeigh reveals intermediate cell populations near boundaries in mouse brain Xenium data. ( a ) Spatial plots showing different annotation types. Left: Cells colored by clusters with overlaid boundaries of cluster 2. Middle: Manual cluster-level annotations based on brain anatomy. Right: Reference-based single-cell annotations, with selected subtypes merged. CGE: caudal ganglionic eminence; MGE: medial ganglionic eminence. ( b ) Neighborhood analysis of cluster 2. Top: Boundary and ring regions. Bottom: Cells within boundary and ring regions for region 1, with donut plots showing cluster proportions (labels shown for proportions \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} $\ge$\end{document} 5%). ( c ) Expression of Slc17a7 and Sox10 in cluster 2 cells inside boundaries and surrounding rings. Slc17a7, a marker of cortical excitatory neurons, shows elevated expression in outer cells near the boundary. Sox10 is broadly expressed in oligodendrocytes and remains consistent across both inner and outer cells in cluster 2. ( d ) Boundary 1 of cluster 2 split into discrete edges. ( e ) Spatial weights relative to edge 2 for cortical cells. Black line indicates edge 2. ( f ) Top spatially varying genes identified by RunSpatialDE using weights from edge 2. ( g ) Expression of Ccn2 and Cplx3 near edge 2. Cells include cortical layer 4/5/6 neurons, L6b neurons, astrocytes, and oligodendrocytes. L6b cells are localized along edge 2.

Article Snippet: Mouse brain tiny Xenium dataset: https://www.10xgenomics.com/datasets/fresh-frozen-mouse-brain-for-xenium-explorer-demo-1-standard .

Techniques: Single Cell, Expressing, Marker

Overview of the SpNeigh workflow. ( a ) Input includes a spatial coordinate data frame ( x, y , cell, cluster) and a normalized expression matrix. Data can originate from platforms such as Xenium, Visium HD, MERFISH, or others. ( b ) Spatial boundary detection and neighborhood extraction. Left: Cluster boundaries are identified after removing spatial outliers based on local k-nearest neighbor density. Right: Ring regions are constructed by buffering outward from the cluster boundaries. Black lines denote cluster boundaries; blue lines indicate outer ring boundaries. ( c ) Spatial weight computation. Cells are assigned weights based on their distance to either the boundary (left) or the centroid (right) of the cluster using inverse distance decay. Weights range from 0 (far) to 1 (close), reflecting proximity. ( d ) Neighborhood composition and interaction analysis. Top: Pie chart showing the proportion of neighboring cell types within the rings. Bottom: Heatmap of spatial interaction scores between focal and neighboring clusters. ( e ) Downstream analyses enabled by SpNeigh. Left: Differential expression analysis between cells of the same cluster in the inner region versus the ring. Middle: Spatial differential expression analysis using smooth functions of distance-based weights. Right: Spatial enrichment analysis quantifying expression bias relative to spatial proximity.

Journal: NAR Genomics and Bioinformatics

Article Title: SpNeigh: spatial neighborhood and differential expression analysis for high-resolution spatial transcriptomics

doi: 10.1093/nargab/lqag039

Figure Lengend Snippet: Overview of the SpNeigh workflow. ( a ) Input includes a spatial coordinate data frame ( x, y , cell, cluster) and a normalized expression matrix. Data can originate from platforms such as Xenium, Visium HD, MERFISH, or others. ( b ) Spatial boundary detection and neighborhood extraction. Left: Cluster boundaries are identified after removing spatial outliers based on local k-nearest neighbor density. Right: Ring regions are constructed by buffering outward from the cluster boundaries. Black lines denote cluster boundaries; blue lines indicate outer ring boundaries. ( c ) Spatial weight computation. Cells are assigned weights based on their distance to either the boundary (left) or the centroid (right) of the cluster using inverse distance decay. Weights range from 0 (far) to 1 (close), reflecting proximity. ( d ) Neighborhood composition and interaction analysis. Top: Pie chart showing the proportion of neighboring cell types within the rings. Bottom: Heatmap of spatial interaction scores between focal and neighboring clusters. ( e ) Downstream analyses enabled by SpNeigh. Left: Differential expression analysis between cells of the same cluster in the inner region versus the ring. Middle: Spatial differential expression analysis using smooth functions of distance-based weights. Right: Spatial enrichment analysis quantifying expression bias relative to spatial proximity.

Article Snippet: Mouse brain Visium HD dataset: https://www.10xgenomics.com/datasets/visium-hd-cytassist-gene-expression-mouse-brain-fresh-frozen .

Techniques: Expressing, Extraction, Construct, Quantitative Proteomics

a , b Confocal images of Bdnf iPCKO and littermate control lungs stained for ICAM2 (green) ( a) or ERG (green) and DAPI (blue) ( b ). c Confocal images of Bdnf iPCKO and littermate control lungs showing PDGFRβ-labeled pericytes (green) and DAPI-stained nuclei (blue). d Confocal images of Bdnf iPCKO and littermate control lungs showing EdU (red)-stained ECs (ERG+ , green). e Confocal images of NKX2.1-stained alveolar epithelial cells (gray) and LAMP3+ type 2 alveolar epithelial cells (green) in Bdnf iPCKO and littermate control lungs. f–m Graphs showing the ICAM2-stained vascular density based on 3D reconstruction surface images, as shown in ( a ) ( f ), percentage of ERG+ EC nuclei in total cells ( g ), percentage of PDGFRβ+ cells in total cells ( h ), ratio of ERG+ cells to PDGFRβ+ cells ( i ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( j ), ratio of LAMP3+ AT2 epithelial cells to total cells ( k ), airspace volume ( l ), and lung volume measurement ( m ) in P21 Bdnf iPCKO and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( f – i ), n = 5 ( j–l ), n = 8 ( m ); P -values, unpaired two-tailed Student t -test. n Confocal images of Bdnf iPCKO and control lungs stained for RAGE (gray). o Confocal images showing TrkB immunostaining (gray) in ICAM2+ (red) ECs in pulmonary capillaries. p Validation of expression of Ntrk2 (encoding TrkB) in ECs by scRNA-seq analysis. UMAP plot showing color-coded EC subclusters, namely arterial, venous, general capillary (gCap) and aerocytes (aCap), in P21 lung (left). Ntrk2 expression in gCap endothelial cells (right). q Western blot showing TrkB and Phospho-TrkB (p-TrkB) in Bdnf iPCKO and littermate control total lung lysates. Molecular weight marker (kDa) is indicated. β-Actin is shown as a loading control. Quantitation of p-TrkB/TrkB ratio is shown in the graph below. Data represent mean ± s.e.m. ( n = 4 control and 3 mutants); P -values, unpaired two-tailed Welch’s test. r Confocal images of ICAM2+ (red) and ERG+ (green) endothelial cells, and PDGFRβ+ cells (gray) in EC-specific Ntrk2 iΔEC loss-of-function mutant and littermate control lungs. s Confocal images of Ntrk2 iΔEC and control lungs showing EdU (red)-stained ECs (ERG+, green).Graphs showing the ICAM2-stained vascular density ( t ), percentage of ERG + EC nuclei in total cells ( u ), percentage of PDGFRβ+ cells in total cells ( v ), ratio of ERG+ cells to PDGFRβ+ cells ( w ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( x ), airspace volume ( y ), and lung volume measurement ( z ) in P21 Ntrk2 iΔEC and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( t – x ), n = 5 ( y ), n = 7 ( z ); P -values, unpaired two-tailed Mann–Whitney test in t and unpaired two-tailed Student t -test in ( u–z ). Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Pericytes are organ-specific regulators of tissue morphogenesis

doi: 10.1038/s41467-026-71643-1

Figure Lengend Snippet: a , b Confocal images of Bdnf iPCKO and littermate control lungs stained for ICAM2 (green) ( a) or ERG (green) and DAPI (blue) ( b ). c Confocal images of Bdnf iPCKO and littermate control lungs showing PDGFRβ-labeled pericytes (green) and DAPI-stained nuclei (blue). d Confocal images of Bdnf iPCKO and littermate control lungs showing EdU (red)-stained ECs (ERG+ , green). e Confocal images of NKX2.1-stained alveolar epithelial cells (gray) and LAMP3+ type 2 alveolar epithelial cells (green) in Bdnf iPCKO and littermate control lungs. f–m Graphs showing the ICAM2-stained vascular density based on 3D reconstruction surface images, as shown in ( a ) ( f ), percentage of ERG+ EC nuclei in total cells ( g ), percentage of PDGFRβ+ cells in total cells ( h ), ratio of ERG+ cells to PDGFRβ+ cells ( i ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( j ), ratio of LAMP3+ AT2 epithelial cells to total cells ( k ), airspace volume ( l ), and lung volume measurement ( m ) in P21 Bdnf iPCKO and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( f – i ), n = 5 ( j–l ), n = 8 ( m ); P -values, unpaired two-tailed Student t -test. n Confocal images of Bdnf iPCKO and control lungs stained for RAGE (gray). o Confocal images showing TrkB immunostaining (gray) in ICAM2+ (red) ECs in pulmonary capillaries. p Validation of expression of Ntrk2 (encoding TrkB) in ECs by scRNA-seq analysis. UMAP plot showing color-coded EC subclusters, namely arterial, venous, general capillary (gCap) and aerocytes (aCap), in P21 lung (left). Ntrk2 expression in gCap endothelial cells (right). q Western blot showing TrkB and Phospho-TrkB (p-TrkB) in Bdnf iPCKO and littermate control total lung lysates. Molecular weight marker (kDa) is indicated. β-Actin is shown as a loading control. Quantitation of p-TrkB/TrkB ratio is shown in the graph below. Data represent mean ± s.e.m. ( n = 4 control and 3 mutants); P -values, unpaired two-tailed Welch’s test. r Confocal images of ICAM2+ (red) and ERG+ (green) endothelial cells, and PDGFRβ+ cells (gray) in EC-specific Ntrk2 iΔEC loss-of-function mutant and littermate control lungs. s Confocal images of Ntrk2 iΔEC and control lungs showing EdU (red)-stained ECs (ERG+, green).Graphs showing the ICAM2-stained vascular density ( t ), percentage of ERG + EC nuclei in total cells ( u ), percentage of PDGFRβ+ cells in total cells ( v ), ratio of ERG+ cells to PDGFRβ+ cells ( w ), the number of EdU+ ECs per area (283 × 283 × 22 µm) ( x ), airspace volume ( y ), and lung volume measurement ( z ) in P21 Ntrk2 iΔEC and littermate control lungs. Data represent mean ± s.e.m. ( n = 4 ( t – x ), n = 5 ( y ), n = 7 ( z ); P -values, unpaired two-tailed Mann–Whitney test in t and unpaired two-tailed Student t -test in ( u–z ). Source data are provided as a Source Data file.

Article Snippet: Mouse brain endothelial cells (b.End3, ATCC, cat. #CRL-2299) were cultured in DMEM (Sigma, D6546) supplemented with penicillin/streptomycin (PAA, P11-010) and 10% FCS, and kept in a humidified incubator at 37 °C, 10% CO 2 .

Techniques: Control, Staining, Labeling, Two Tailed Test, Immunostaining, Biomarker Discovery, Expressing, Western Blot, Molecular Weight, Marker, Quantitation Assay, Mutagenesis, MANN-WHITNEY

a Tile scan of coronal sections through P12 Nodal iPCKO and littermate control brain cortex immunostained for ICAM2 (green). b Confocal images of ICAM2+ (green) and ERG+ (red) endothelial cells in Nodal iPCKO and littermate control brain. c Graph showing the ICAM2-stained vascular density. Data represent mean ± s.e.m. ( n = 8 mice per group); P -values, unpaired two-tailed Student t -test. Maximum intensity projections of P12 Nodal iPCKO and littermate control brain sections. Images show PDGFRβ+ pericytes (gray) and ERG+ (red) ECs ( d ), and EdU+ (gray) proliferating cells together with ICAM2+ (green) ECs ( e ). Graphs showing the ratio of ERG+ EC nuclei to total cells ( f ), ratio of PDGFRβ+ cells to total cells ( g ), ratio of ERG+ cells to PDGFRβ+ cells ( h ), and the number of EdU+ ECs per area (283 × 283 × 22 µm) in P12 Nodal iPCKO and littermate control brain cortex ( i ). Data represent mean ± s.e.m. ( n = 6 in f–i ); P -values, unpaired two-tailed Student t -test. j Western blot analysis of total and phosphorylated SMAD2 (p-SMAD2) in lysates of mouse brain endothelial cells (bEnd.3) treated with recombinant human Nodal (rhNodal) and SB431542 inhibitor, as indicated. Shown is a representative blot of three independent experiments. Molecular weight marker (kDa) is indicated. β-Actin is shown as a loading control. Quantitation of p-SMAD2/SMAD2 ratio is shown in the graph on the right. Data represent mean ± s.e.m. ( n = 3 independent experiments); P -values, one-way ANOVA with Tukey’s test. k Confocal images of VE-cadherin+ (CDH5, green) and EdU+ (white) bEnd.3 cells treated with rhNodal in the presence/absence of SB431542 inhibitor. l Bright field images showing that rhNODAL increases bEnd.3 cell migration in vitro in a scratch wound assay, which is blocked by SB431542. Left column shows the start of the assay (0 h) and red lines indicate the edges of scratch wounds, whereas images on the right are taken after 26 h. Graphs showing the impact of rhNodal on bEnd.3 cell proliferation ( m ) and migration ( n ). Data represent mean ± s.e.m. ( n = 6); P -values, one-way ANOVA with Tukey’s test. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Pericytes are organ-specific regulators of tissue morphogenesis

doi: 10.1038/s41467-026-71643-1

Figure Lengend Snippet: a Tile scan of coronal sections through P12 Nodal iPCKO and littermate control brain cortex immunostained for ICAM2 (green). b Confocal images of ICAM2+ (green) and ERG+ (red) endothelial cells in Nodal iPCKO and littermate control brain. c Graph showing the ICAM2-stained vascular density. Data represent mean ± s.e.m. ( n = 8 mice per group); P -values, unpaired two-tailed Student t -test. Maximum intensity projections of P12 Nodal iPCKO and littermate control brain sections. Images show PDGFRβ+ pericytes (gray) and ERG+ (red) ECs ( d ), and EdU+ (gray) proliferating cells together with ICAM2+ (green) ECs ( e ). Graphs showing the ratio of ERG+ EC nuclei to total cells ( f ), ratio of PDGFRβ+ cells to total cells ( g ), ratio of ERG+ cells to PDGFRβ+ cells ( h ), and the number of EdU+ ECs per area (283 × 283 × 22 µm) in P12 Nodal iPCKO and littermate control brain cortex ( i ). Data represent mean ± s.e.m. ( n = 6 in f–i ); P -values, unpaired two-tailed Student t -test. j Western blot analysis of total and phosphorylated SMAD2 (p-SMAD2) in lysates of mouse brain endothelial cells (bEnd.3) treated with recombinant human Nodal (rhNodal) and SB431542 inhibitor, as indicated. Shown is a representative blot of three independent experiments. Molecular weight marker (kDa) is indicated. β-Actin is shown as a loading control. Quantitation of p-SMAD2/SMAD2 ratio is shown in the graph on the right. Data represent mean ± s.e.m. ( n = 3 independent experiments); P -values, one-way ANOVA with Tukey’s test. k Confocal images of VE-cadherin+ (CDH5, green) and EdU+ (white) bEnd.3 cells treated with rhNodal in the presence/absence of SB431542 inhibitor. l Bright field images showing that rhNODAL increases bEnd.3 cell migration in vitro in a scratch wound assay, which is blocked by SB431542. Left column shows the start of the assay (0 h) and red lines indicate the edges of scratch wounds, whereas images on the right are taken after 26 h. Graphs showing the impact of rhNodal on bEnd.3 cell proliferation ( m ) and migration ( n ). Data represent mean ± s.e.m. ( n = 6); P -values, one-way ANOVA with Tukey’s test. Source data are provided as a Source Data file.

Article Snippet: Mouse brain endothelial cells (b.End3, ATCC, cat. #CRL-2299) were cultured in DMEM (Sigma, D6546) supplemented with penicillin/streptomycin (PAA, P11-010) and 10% FCS, and kept in a humidified incubator at 37 °C, 10% CO 2 .

Techniques: Control, Staining, Two Tailed Test, Western Blot, Recombinant, Molecular Weight, Marker, Quantitation Assay, Migration, In Vitro, Scratch Wound Assay Assay

Effects of DOX, miR-196a antagonist, and AP-1 inhibitor on blood-brain barrier (BBB) integrity, tight junction proteins, and annexin A1 expression. A: Quantitative analysis of Evans blue (EB) extravasation (μg/g tissue), occludin, and claudin-5 protein expression in the hippocampus of mice. Data are presented as the mean ± standard deviation (SD). Protein expression was normalized to GAPDH. Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05, ** P < 0.01, *** P < 0.001 versus Control group (group C); # P < 0.05, ## P < 0.01, ### P < 0.001 versus DOX-treated group (group D); ns, not significant (adjusted P > 0.05). B: Representative Western blot bands of occludin and claudin-5 proteins in mouse hippocampal tissues. GAPDH served as the loading control. Bands were selected from three independent experiments with high reproducibility, and integrated optical density (IOD) was quantified using ImageJ software. C: Immunofluorescence staining of annexin A1 (ANXA1) in bEnd.3 cells. Green fluorescence indicates ANXA1-positive signals, and blue fluorescence indicates DAPI-stained nuclei. Scale bar = 300 μm. All images were captured with identical exposure parameters. D: Quantitative analysis of the ANXA1-positive area per cell (μm 2 ) in bEnd.3 cells. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05, ** P < 0.01, *** P < 0.001 versus Group C; # P < 0.05, ## P < 0.01, ### P < 0.001 versus Group D; ns, not significant (adjusted P > 0.05).

Journal: Open Life Sciences

Article Title: Doxorubicin compromises blood-brain barrier integrity by suppressing annexin A1 expression

doi: 10.1515/biol-2025-1297

Figure Lengend Snippet: Effects of DOX, miR-196a antagonist, and AP-1 inhibitor on blood-brain barrier (BBB) integrity, tight junction proteins, and annexin A1 expression. A: Quantitative analysis of Evans blue (EB) extravasation (μg/g tissue), occludin, and claudin-5 protein expression in the hippocampus of mice. Data are presented as the mean ± standard deviation (SD). Protein expression was normalized to GAPDH. Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05, ** P < 0.01, *** P < 0.001 versus Control group (group C); # P < 0.05, ## P < 0.01, ### P < 0.001 versus DOX-treated group (group D); ns, not significant (adjusted P > 0.05). B: Representative Western blot bands of occludin and claudin-5 proteins in mouse hippocampal tissues. GAPDH served as the loading control. Bands were selected from three independent experiments with high reproducibility, and integrated optical density (IOD) was quantified using ImageJ software. C: Immunofluorescence staining of annexin A1 (ANXA1) in bEnd.3 cells. Green fluorescence indicates ANXA1-positive signals, and blue fluorescence indicates DAPI-stained nuclei. Scale bar = 300 μm. All images were captured with identical exposure parameters. D: Quantitative analysis of the ANXA1-positive area per cell (μm 2 ) in bEnd.3 cells. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05, ** P < 0.01, *** P < 0.001 versus Group C; # P < 0.05, ## P < 0.01, ### P < 0.001 versus Group D; ns, not significant (adjusted P > 0.05).

Article Snippet: The mouse brain microvascular endothelial cell line bEnd.3 (American Type Culture Collection, ATCC ® CRL-2299TM) was utilized in this study as an in vitro model of the blood-brain barrier.

Techniques: Expressing, Standard Deviation, Control, Western Blot, Software, Immunofluorescence, Staining, Fluorescence

miR-196a directly targets annexin A1 (ANXA1) and is upregulated by DOX. A: Quantitative analysis of miR-196a relative expression in bEnd.3 cells. U6 snRNA was used as the internal reference, and expression levels were calculated using the 2 − ΔΔCt method. Experimental groups were consistent with <xref ref-type=Figure 1 . Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05 versus Group C; # P < 0.05 versus Group D; ns, not significant (adjusted P > 0.05). B: Schematic diagram of the predicted binding site between miR-196a-5p and the 3′ untranslated region (3′UTR) of the ANXA1 gene, including the wild-type (WT) ANXA1 3′UTR (containing the intact miR-196a-5p binding sequence) and the mutant (Mut) ANXA1 3′UTR (with site-directed mutations in the binding sequence to disrupt miR-196a-5p binding). C: Relative luciferase activity detected by dual-luciferase reporter assay in bEnd.3 cells. Cells were cotransfected with miR-196a mimics/negative control and WT/Mut ANXA1 3′UTR reporter plasmids. Data are presented as the mean ± SD Statistical analysis was performed using an unpaired two-tailed Student’s t -test. * P < 0.05 indicates a statistically significant difference. " width="100%" height="100%">

Journal: Open Life Sciences

Article Title: Doxorubicin compromises blood-brain barrier integrity by suppressing annexin A1 expression

doi: 10.1515/biol-2025-1297

Figure Lengend Snippet: miR-196a directly targets annexin A1 (ANXA1) and is upregulated by DOX. A: Quantitative analysis of miR-196a relative expression in bEnd.3 cells. U6 snRNA was used as the internal reference, and expression levels were calculated using the 2 − ΔΔCt method. Experimental groups were consistent with Figure 1 . Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05 versus Group C; # P < 0.05 versus Group D; ns, not significant (adjusted P > 0.05). B: Schematic diagram of the predicted binding site between miR-196a-5p and the 3′ untranslated region (3′UTR) of the ANXA1 gene, including the wild-type (WT) ANXA1 3′UTR (containing the intact miR-196a-5p binding sequence) and the mutant (Mut) ANXA1 3′UTR (with site-directed mutations in the binding sequence to disrupt miR-196a-5p binding). C: Relative luciferase activity detected by dual-luciferase reporter assay in bEnd.3 cells. Cells were cotransfected with miR-196a mimics/negative control and WT/Mut ANXA1 3′UTR reporter plasmids. Data are presented as the mean ± SD Statistical analysis was performed using an unpaired two-tailed Student’s t -test. * P < 0.05 indicates a statistically significant difference.

Article Snippet: The mouse brain microvascular endothelial cell line bEnd.3 (American Type Culture Collection, ATCC ® CRL-2299TM) was utilized in this study as an in vitro model of the blood-brain barrier.

Techniques: Expressing, Binding Assay, Sequencing, Mutagenesis, Luciferase, Activity Assay, Reporter Assay, Negative Control, Two Tailed Test

DOX activates AP-1 transcriptional activity in bEnd.3 cells. A: Representative Western blot bands of c-fos and c-jun proteins in bEnd.3 cells from the control group (group C) and DOX-treated group (group D). GAPDH served as the loading control. Each group includes results from two biological replicates. B: Representative Western blot bands of phosphorylated c-fos (p-c-fos) and total c-fos proteins in bEnd.3 cells from group C and group D, clearly showing the relative expression levels of the target proteins. C: Representative Western blot bands of phosphorylated c-jun (p-c-Jun) and total c-jun proteins in bEnd.3 cells from group C and group D, clearly showing the phosphorylation modification levels of the target proteins. D: Quantitative analysis of c-fos and c-jun protein relative expression in bEnd.3 cells from group C and group D. Expression levels were normalized to GAPDH. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05 versus Group C; # P < 0.05 versus Group D. E: Quantitative analysis of the phosphorylation ratios of p-c-fos/c-fos and p-c-Jun/c-Jun proteins in bEnd.3 cells from group C and group D. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05 versus Group C; # P < 0.05 versus Group D.

Journal: Open Life Sciences

Article Title: Doxorubicin compromises blood-brain barrier integrity by suppressing annexin A1 expression

doi: 10.1515/biol-2025-1297

Figure Lengend Snippet: DOX activates AP-1 transcriptional activity in bEnd.3 cells. A: Representative Western blot bands of c-fos and c-jun proteins in bEnd.3 cells from the control group (group C) and DOX-treated group (group D). GAPDH served as the loading control. Each group includes results from two biological replicates. B: Representative Western blot bands of phosphorylated c-fos (p-c-fos) and total c-fos proteins in bEnd.3 cells from group C and group D, clearly showing the relative expression levels of the target proteins. C: Representative Western blot bands of phosphorylated c-jun (p-c-Jun) and total c-jun proteins in bEnd.3 cells from group C and group D, clearly showing the phosphorylation modification levels of the target proteins. D: Quantitative analysis of c-fos and c-jun protein relative expression in bEnd.3 cells from group C and group D. Expression levels were normalized to GAPDH. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05 versus Group C; # P < 0.05 versus Group D. E: Quantitative analysis of the phosphorylation ratios of p-c-fos/c-fos and p-c-Jun/c-Jun proteins in bEnd.3 cells from group C and group D. Data are presented as the mean ± SD Statistical analysis was performed using one-way ANOVA followed by Tukey’s HSD post hoc test. * P < 0.05 versus Group C; # P < 0.05 versus Group D.

Article Snippet: The mouse brain microvascular endothelial cell line bEnd.3 (American Type Culture Collection, ATCC ® CRL-2299TM) was utilized in this study as an in vitro model of the blood-brain barrier.

Techniques: Activity Assay, Western Blot, Control, Expressing, Phospho-proteomics, Modification