single-nuclei brain rna sequencing data Search Results


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Transcriptomic landscape of lncRNAs in human placental trophoblasts. (A) UMAP plot showing first-trimester and term <t>placental</t> <t>single-nucleus</t> transcriptomes (CTB, cytotrophoblast; EVT, extravillous trophoblast; STB, syncytiotrophoblast; STR, stromal cell; e, early; l, late). (B) UMAP plot showing the distribution of first-trimester and term placental samples. (C) Pie plot of the fraction of lncRNAs and mRNAs in snRNA-seq and bulk <t>RNA-seq,</t> respectively. The value “ n ” indicates the average number of detected transcripts per cell for both lncRNAs and mRNAs based on the experimentally measured data. (D) Box plots of transcript counts in per cell type. Statistical significance was determined by two-sided Wilcoxon rank-sum tests (**** P < 0.0001). (E) Volcano plot of cell-type-specific lncRNAs across trophoblast subtypes. The x -axis represents the difference in the percentage of cells expressing each gene between the two compared cell types (Δ percentage = pct.1 − pct.2), while the y -axis indicates the log 2 (fold change) in average gene expression. This representation integrates both expression magnitude and expression prevalence at the single-cell level. (F) Heatmap of cell-type-specific lncRNA expression atlas across trophoblast populations. (G) UMAP plots showing the expression distribution of representative lncRNAs (Color gradient represents the average expression level per cell). (H) GO biological process terms enriched in protein-coding genes (PCGs) associated with stage-specific lncRNAs.
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Transcriptomic landscape of lncRNAs in human placental trophoblasts. (A) UMAP plot showing first-trimester and term <t>placental</t> <t>single-nucleus</t> transcriptomes (CTB, cytotrophoblast; EVT, extravillous trophoblast; STB, syncytiotrophoblast; STR, stromal cell; e, early; l, late). (B) UMAP plot showing the distribution of first-trimester and term placental samples. (C) Pie plot of the fraction of lncRNAs and mRNAs in snRNA-seq and bulk <t>RNA-seq,</t> respectively. The value “ n ” indicates the average number of detected transcripts per cell for both lncRNAs and mRNAs based on the experimentally measured data. (D) Box plots of transcript counts in per cell type. Statistical significance was determined by two-sided Wilcoxon rank-sum tests (**** P < 0.0001). (E) Volcano plot of cell-type-specific lncRNAs across trophoblast subtypes. The x -axis represents the difference in the percentage of cells expressing each gene between the two compared cell types (Δ percentage = pct.1 − pct.2), while the y -axis indicates the log 2 (fold change) in average gene expression. This representation integrates both expression magnitude and expression prevalence at the single-cell level. (F) Heatmap of cell-type-specific lncRNA expression atlas across trophoblast populations. (G) UMAP plots showing the expression distribution of representative lncRNAs (Color gradient represents the average expression level per cell). (H) GO biological process terms enriched in protein-coding genes (PCGs) associated with stage-specific lncRNAs.
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Transcriptomic landscape of lncRNAs in human placental trophoblasts. (A) UMAP plot showing first-trimester and term <t>placental</t> <t>single-nucleus</t> transcriptomes (CTB, cytotrophoblast; EVT, extravillous trophoblast; STB, syncytiotrophoblast; STR, stromal cell; e, early; l, late). (B) UMAP plot showing the distribution of first-trimester and term placental samples. (C) Pie plot of the fraction of lncRNAs and mRNAs in snRNA-seq and bulk <t>RNA-seq,</t> respectively. The value “ n ” indicates the average number of detected transcripts per cell for both lncRNAs and mRNAs based on the experimentally measured data. (D) Box plots of transcript counts in per cell type. Statistical significance was determined by two-sided Wilcoxon rank-sum tests (**** P < 0.0001). (E) Volcano plot of cell-type-specific lncRNAs across trophoblast subtypes. The x -axis represents the difference in the percentage of cells expressing each gene between the two compared cell types (Δ percentage = pct.1 − pct.2), while the y -axis indicates the log 2 (fold change) in average gene expression. This representation integrates both expression magnitude and expression prevalence at the single-cell level. (F) Heatmap of cell-type-specific lncRNA expression atlas across trophoblast populations. (G) UMAP plots showing the expression distribution of representative lncRNAs (Color gradient represents the average expression level per cell). (H) GO biological process terms enriched in protein-coding genes (PCGs) associated with stage-specific lncRNAs.
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Image Search Results


Transcriptomic landscape of lncRNAs in human placental trophoblasts. (A) UMAP plot showing first-trimester and term placental single-nucleus transcriptomes (CTB, cytotrophoblast; EVT, extravillous trophoblast; STB, syncytiotrophoblast; STR, stromal cell; e, early; l, late). (B) UMAP plot showing the distribution of first-trimester and term placental samples. (C) Pie plot of the fraction of lncRNAs and mRNAs in snRNA-seq and bulk RNA-seq, respectively. The value “ n ” indicates the average number of detected transcripts per cell for both lncRNAs and mRNAs based on the experimentally measured data. (D) Box plots of transcript counts in per cell type. Statistical significance was determined by two-sided Wilcoxon rank-sum tests (**** P < 0.0001). (E) Volcano plot of cell-type-specific lncRNAs across trophoblast subtypes. The x -axis represents the difference in the percentage of cells expressing each gene between the two compared cell types (Δ percentage = pct.1 − pct.2), while the y -axis indicates the log 2 (fold change) in average gene expression. This representation integrates both expression magnitude and expression prevalence at the single-cell level. (F) Heatmap of cell-type-specific lncRNA expression atlas across trophoblast populations. (G) UMAP plots showing the expression distribution of representative lncRNAs (Color gradient represents the average expression level per cell). (H) GO biological process terms enriched in protein-coding genes (PCGs) associated with stage-specific lncRNAs.

Journal: Life Medicine

Article Title: Single-cell analysis reveals essential lncRNAs regulating human trophoblast lineage differentiation

doi: 10.1093/lifemedi/lnag010

Figure Lengend Snippet: Transcriptomic landscape of lncRNAs in human placental trophoblasts. (A) UMAP plot showing first-trimester and term placental single-nucleus transcriptomes (CTB, cytotrophoblast; EVT, extravillous trophoblast; STB, syncytiotrophoblast; STR, stromal cell; e, early; l, late). (B) UMAP plot showing the distribution of first-trimester and term placental samples. (C) Pie plot of the fraction of lncRNAs and mRNAs in snRNA-seq and bulk RNA-seq, respectively. The value “ n ” indicates the average number of detected transcripts per cell for both lncRNAs and mRNAs based on the experimentally measured data. (D) Box plots of transcript counts in per cell type. Statistical significance was determined by two-sided Wilcoxon rank-sum tests (**** P < 0.0001). (E) Volcano plot of cell-type-specific lncRNAs across trophoblast subtypes. The x -axis represents the difference in the percentage of cells expressing each gene between the two compared cell types (Δ percentage = pct.1 − pct.2), while the y -axis indicates the log 2 (fold change) in average gene expression. This representation integrates both expression magnitude and expression prevalence at the single-cell level. (F) Heatmap of cell-type-specific lncRNA expression atlas across trophoblast populations. (G) UMAP plots showing the expression distribution of representative lncRNAs (Color gradient represents the average expression level per cell). (H) GO biological process terms enriched in protein-coding genes (PCGs) associated with stage-specific lncRNAs.

Article Snippet: For cross-platform validation: Three independent external datasets were utilized, including two single-cell RNA-seq datasets (accession numbers: HRA003309, GSE214607 ) and one single-nucleus RNA-seq dataset (singlecell.broadinstitute.org/single_cell/study/SCP2601).

Techniques: RNA Sequencing, Expressing, Gene Expression, Single Cell