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Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells <t>(CD56),</t> T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm
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Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells <t>(CD56),</t> T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm
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Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells <t>(CD56),</t> T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm
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Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells <t>(CD56),</t> T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm
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Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells <t>(CD56),</t> T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm
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Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells (CD56), T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm

Journal: Cell Biology and Toxicology

Article Title: Revealing an enhanced cytotoxic immune microenvironment at the human maternal–fetal interface in preeclampsia

doi: 10.1007/s10565-026-10170-7

Figure Lengend Snippet: Single-cell transcriptomics analysis reveals distinct cellular compositions in PE patients and controls. ( A ) Schematic workflow for single-cell transcriptomic analysis of sorted CD45⁺ immune cells from decidua, including three from preeclampsia (PE) patients and three from healthy controls. ( B ) Dot plot illustrating the expression levels and relative proportions of specific marker genes across immune cell clusters. ( C , D , E ) UMAP visualization depicting 7 major immune cell clusters and 22 subclusters within decidua CD45⁺ cells from 6 samples. ( F ) Feature plot illustrating the expression of selected marker genes across different clusters. ( G ) Heatmap depicting the top 10 DEGs in each of the 22 clusters. ( H ) Bar plot showing the proportion of each immune cell cluster across individual samples. ( I ) Representative immunostaining images of NK cells (CD56), T cells (CD3), and macrophages (CD68) in decidual tissue from PE and control samples. Scale bars: 50 µm

Article Snippet: dNK cells were enriched from first-trimester decidua immune cells by removing dead cells(Miltenyi, Cat# 130–090–101, Germany) and collecting CD56 + cells using magnetic beads (Miltenyi, Cat# 130–050–401, Germany).

Techniques: Single-cell Transcriptomics, Single Cell, Expressing, Marker, Immunostaining, Control

Decidua NK cells in PE have a specific developmental trajectory along with enhanced cytotoxicity which may lead to trophoblast cells apoptosis. ( A ) UMAP visualization of decidua NK (dNK) cells, identifying four major subpopulations. ( B ) Bar plot showing the proportions of the four dNK subclusters in PE and Control samples. ( C ) Violin plot comparing the expression levels of individual genes in dNK subclusters between PE and Control samples. ( D ) UMAP visualization revealing two distinct developmental trajectories of dNK cells. ( E ) UMAP visualization showing dNK cells from two different groups. ( F ) Curve plots showing dynamic expression changes of selected genes along pseudotime in the two differentiation pathways. ( G ) Pseudocolor plots and bar plots comparing the apoptosis rate of HTR8-SVneo cell cocultured with dNK (-K562) or dNK (+K562), (n=3). Data are expressed as mean ± SD, unpaired t test was used for comparisons among two groups. Statistical significance: * p < 0.05. (H) Representative immunostaining images of extravillous trophoblast cells (HLA-G) and dNK cells (CD56) from PE and control samples. Scale bars: 100 µm

Journal: Cell Biology and Toxicology

Article Title: Revealing an enhanced cytotoxic immune microenvironment at the human maternal–fetal interface in preeclampsia

doi: 10.1007/s10565-026-10170-7

Figure Lengend Snippet: Decidua NK cells in PE have a specific developmental trajectory along with enhanced cytotoxicity which may lead to trophoblast cells apoptosis. ( A ) UMAP visualization of decidua NK (dNK) cells, identifying four major subpopulations. ( B ) Bar plot showing the proportions of the four dNK subclusters in PE and Control samples. ( C ) Violin plot comparing the expression levels of individual genes in dNK subclusters between PE and Control samples. ( D ) UMAP visualization revealing two distinct developmental trajectories of dNK cells. ( E ) UMAP visualization showing dNK cells from two different groups. ( F ) Curve plots showing dynamic expression changes of selected genes along pseudotime in the two differentiation pathways. ( G ) Pseudocolor plots and bar plots comparing the apoptosis rate of HTR8-SVneo cell cocultured with dNK (-K562) or dNK (+K562), (n=3). Data are expressed as mean ± SD, unpaired t test was used for comparisons among two groups. Statistical significance: * p < 0.05. (H) Representative immunostaining images of extravillous trophoblast cells (HLA-G) and dNK cells (CD56) from PE and control samples. Scale bars: 100 µm

Article Snippet: dNK cells were enriched from first-trimester decidua immune cells by removing dead cells(Miltenyi, Cat# 130–090–101, Germany) and collecting CD56 + cells using magnetic beads (Miltenyi, Cat# 130–050–401, Germany).

Techniques: Control, Expressing, Immunostaining