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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
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dapi  (Cell Signaling Technology Inc)
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
Dapi, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
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6 diamino 2 phenylindole  (Cell Signaling Technology Inc)
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei <t>were</t> <t>counterstained</t> with <t>DAPI</t> (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.
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IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei were counterstained with DAPI (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.

Journal: Journal of Inflammation Research

Article Title: Integrated Multi-Omics Analysis Reveals IRF1-Driven Microglial PANoptosis via ZBP1 in Spinal Cord Injury

doi: 10.2147/JIR.S574990

Figure Lengend Snippet: IRF1 drove Zbp1 transcription in microglia. ( A ) Heatmap showing TF activity scores (right) and fold-change expression (left) associated with PANoptosis activity in microglia. ( B ) UMAP visualization of transcriptional activity scores (top) and gene expression levels (bottom) of Nr1d1, Spi1, Myc, Irf1 , and Cebpd across all cell types. ( C ) Heatmap showing the results of Pearson’s correlation analysis between Nr1d1, Spi1, Myc, Irf1 , and Cebpd and PANoptosis activity scores. ( D ) Bar graph showing the inferred TF activity at bulk RNA-seq levels. ( E ) The IGV browser illustrating the potential regulatory relationship between NR1D1, SPI1, MYC, IRF1, and CEBPD and the Zbp1 promoter region. ( F ) UCSC Genome Browser showing a distinct IRF1 binding peak within the Zbp1 promoter region, based on public ChIP-seq data. ( G ) Immunofluorescence at 7 days after SCI showing nuclear translocation of IRF1 (red) in Iba1+ microglia (green); nuclei were counterstained with DAPI (blue). Scale bars, 20μm (n=4 rats per group). ( H ) WB analysis of IRF1 and ZBP1 protein expression of microglia in vitro. Vinculin was used as a loading control. *, p<0.05; ****, p<0.0001.

Article Snippet: Nuclei were counterstained with DAPI (HY-K1048, MedChemExpress).

Techniques: Activity Assay, Expressing, Gene Expression, RNA Sequencing, Binding Assay, ChIP-sequencing, Immunofluorescence, Translocation Assay, In Vitro, Control