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spotfire analyst 10.3.2  (TIBCO)


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    TIBCO spotfire analyst 10.3.2
    Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.
    Spotfire Analyst 10.3.2, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spotfire+analyst+10%2E3%2E2/spotfire+analyst+version+10+3+3/pmc09288451-81-5-3
    Average 90 stars, based on 1 article reviews
    spotfire analyst 10.3.2 - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "Time and phenotype-dependent transcriptome analysis in AAV-TGFβ1 and Bleomycin-induced lung fibrosis models"

    Article Title: Time and phenotype-dependent transcriptome analysis in AAV-TGFβ1 and Bleomycin-induced lung fibrosis models

    Journal: Scientific Reports

    doi: 10.1038/s41598-022-16344-7

    Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.
    Figure Legend Snippet: Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.

    Techniques Used: RNA Sequencing Assay, Expressing

    Related Articles

    RNA Sequencing Assay:

    Article Title: Time and phenotype-dependent transcriptome analysis in AAV-TGFβ1 and Bleomycin-induced lung fibrosis models
    Article Snippet: Heatmap created with TIBCO Spotfire Analyst 10.3.2.

    Expressing:

    Article Title: Time and phenotype-dependent transcriptome analysis in AAV-TGFβ1 and Bleomycin-induced lung fibrosis models
    Article Snippet: Heatmap created with TIBCO Spotfire Analyst 10.3.2.



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    TIBCO spotfire analyst 10.3.2
    Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.
    Spotfire Analyst 10.3.2, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spotfire+analyst+10%2E3%2E2/spotfire+analyst+version+10+3+3/pmc09288451-81-5-3
    Average 90 stars, based on 1 article reviews
    spotfire analyst 10.3.2 - by Bioz Stars, 2026-10
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    spotfire file tibco spotfire analyst 10.3.2  (TIBCO)
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    Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.
    Spotfire File Tibco Spotfire Analyst 10.3.2, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spotfire+analyst+10%2E3%2E2/spotfire+file+tibco+spotfire+analyst+10+3+2/pm32387270-241-8-10
    Average 90 stars, based on 1 article reviews
    spotfire file tibco spotfire analyst 10.3.2 - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

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    Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.

    Journal: Scientific Reports

    Article Title: Time and phenotype-dependent transcriptome analysis in AAV-TGFβ1 and Bleomycin-induced lung fibrosis models

    doi: 10.1038/s41598-022-16344-7

    Figure Lengend Snippet: Longitudinal assessment of transcriptomic changes in AAV-TGFβ1 and Bleomycin induced fibrosis. Total RNA was extracted from the mice treated as described in Fig. and applied to RNA-sequencing. ( a ) unsupervised hierarchical clustering (Z-scored FPKMs) of all mRNAs showing differential expression (log 2 FC ≥ 0.6, q ≤ 0.05) at ≥ two contrasts across all time points and models (n = 6010). The genes within the color-coded clusters were applied to ( b ) Reactome pathway enrichment analysis. Cluster 1, n = 148 genes; cluster 2, n = 552; cluster 3, n = 186, cluster 4, n = 403 and cluster 5, n = 275. ( c ) Expression profiles of the top 3 differentially expressed genes in each cluster. ( d ) Total number of differentially expressed genes over time for both models. ( e ) Correlation plots for genes showing differential expression either exclusively in one model or commonly in both models, as defined by expression cutoffs (log 2 FC = 0.6). The coefficient of determination (R 2 ) is show for each set of genes under the graphs. Legend as in ( f ). ( f ) Significance of enrichment ( p -value) for selected KEGG pathways over time, obtained and plotted for the gene sets defined in ( e ). TLR = toll-like receptor. ECM = extracellular matrix. Heatmap created with TIBCO Spotfire Analyst 10.3.2.

    Article Snippet: Heatmap created with TIBCO Spotfire Analyst 10.3.2.

    Techniques: RNA Sequencing Assay, Expressing