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heat map generated with cluster 3.0 and java treeview software  (SourceForge net)

 
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    SourceForge net heat map generated with cluster 3.0 and java treeview software
    Heat Map Generated With Cluster 3.0 And Java Treeview Software, supplied by SourceForge net, 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/result/heat map generated with cluster 3.0 and java treeview software/product/SourceForge net
    Average 90 stars, based on 1 article reviews
    heat map generated with cluster 3.0 and java treeview software - by Bioz Stars, 2026-05
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    Image Search Results


    a Generation of BAP1 ‐KO cell lines using the CRISPR/Cas9 system using a single guide RNA sequence against exon 4 of the BAP1 gene locus. b Establishment of BAP1 -KO cell clones using human mesothelial cell lines, MeT‐5A and HOMC-D4. BAP1 protein expression was determined by Western blot analysis using GAPDH as the internal control. c Gene expression analysis represented by heatmap of upregulated (seven genes; fold change, >3) and downregulated (40 genes, fold change, <0.1) genes in BAP1 ‐KO cells (#1 and #2) compared with parental (P) and BAP1 -WT (Ctrl) cells. The heatmap was constructed based on the normalized values of all samples using TreeView (Cluster 3.0) http://jtreeview ( http://jtreeview.sourceforge.net ). The corresponding upregulated or downregulated genes in the heatmap are shown on the right side. d RT-PCR analysis for mRNA expression levels of upregulated or downregulated genes in the MeT-5A and HOMC-D4 cells. Representative agarose gels for the RT-PCR products from the parental cells (P), BAP1 -WT cells (Ctrl), and BAP1 -KO cell lines (#1 and #2) are shown.

    Journal: Cell Death Discovery

    Article Title: CAMK2D: a novel molecular target for BAP1 -deficient malignant mesothelioma

    doi: 10.1038/s41420-023-01552-5

    Figure Lengend Snippet: a Generation of BAP1 ‐KO cell lines using the CRISPR/Cas9 system using a single guide RNA sequence against exon 4 of the BAP1 gene locus. b Establishment of BAP1 -KO cell clones using human mesothelial cell lines, MeT‐5A and HOMC-D4. BAP1 protein expression was determined by Western blot analysis using GAPDH as the internal control. c Gene expression analysis represented by heatmap of upregulated (seven genes; fold change, >3) and downregulated (40 genes, fold change, <0.1) genes in BAP1 ‐KO cells (#1 and #2) compared with parental (P) and BAP1 -WT (Ctrl) cells. The heatmap was constructed based on the normalized values of all samples using TreeView (Cluster 3.0) http://jtreeview ( http://jtreeview.sourceforge.net ). The corresponding upregulated or downregulated genes in the heatmap are shown on the right side. d RT-PCR analysis for mRNA expression levels of upregulated or downregulated genes in the MeT-5A and HOMC-D4 cells. Representative agarose gels for the RT-PCR products from the parental cells (P), BAP1 -WT cells (Ctrl), and BAP1 -KO cell lines (#1 and #2) are shown.

    Article Snippet: The heatmap was constructed based on the normalized values of all samples using TreeView (Cluster 3.0) http://jtreeview ( http://jtreeview.sourceforge.net ).

    Techniques: CRISPR, Sequencing, Clone Assay, Expressing, Western Blot, Control, Gene Expression, Construct, Reverse Transcription Polymerase Chain Reaction

    Gene expression studies investigating the pathogenesis of RA

    Journal: The Pharmacogenomics Journal

    Article Title: Gene expression analysis in RA: towards personalized medicine

    doi: 10.1038/tpj.2013.48

    Figure Lengend Snippet: Gene expression studies investigating the pathogenesis of RA

    Article Snippet: , Whole blood , Discovery set 14 RA, validation set 26 RA , Illumina , SAM, hierarchial clustering (treeview), Ingenuity pathway analysis , Responders vs non-responders , Significant differential expression of IFN-type I response genes (IRGs) at 6 months of RTX treatment. Baseline prediction of non-response to RTX with a 3 and 8 IFN type I response gene signature , Raterman et al. .

    Techniques: Gene Expression, Comparison, Expressing, Software, Clone Assay, Diagnostic Assay, Activity Assay, Biomarker Discovery

    Gene expression signatures as a tool for treatment outcome prediction

    Journal: The Pharmacogenomics Journal

    Article Title: Gene expression analysis in RA: towards personalized medicine

    doi: 10.1038/tpj.2013.48

    Figure Lengend Snippet: Gene expression signatures as a tool for treatment outcome prediction

    Article Snippet: , Whole blood , Discovery set 14 RA, validation set 26 RA , Illumina , SAM, hierarchial clustering (treeview), Ingenuity pathway analysis , Responders vs non-responders , Significant differential expression of IFN-type I response genes (IRGs) at 6 months of RTX treatment. Baseline prediction of non-response to RTX with a 3 and 8 IFN type I response gene signature , Raterman et al. .

    Techniques: Gene Expression, Software, Comparison, Expressing, Microarray, Biomarker Discovery, Activation Assay, Real-time Polymerase Chain Reaction, Quantitative Proteomics