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genomic, epigenomic, and transcriptomic data for 32 tcga cancer types  (Broad Institute Inc)

 
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    Structured Review

    Broad Institute Inc genomic, epigenomic, and transcriptomic data for 32 tcga cancer types
    Functional impact of RB1 mutation on mRNA expression in Bladder Cancer. ( A ) In the <t>TCGA</t> BLCA (Bladder urothelial carcinoma) cohort, 1518 genes showed significant up-regulation (dark red dots, FDR < 0.01) in RB1 mutated samples whereas 1294 genes showed significant down-regulation (dark green dots, FDR < 0.01). ( B ) Among the most significant genes, up-regulation was found for CDKN2A and E2F1 (positive rank #1 and #22) whereas down-regulation was found for RB1 and CCND1 (negative rank #1 and #29). ( C ) The 1518 up-regulated genes were significantly enriched with transcriptional targets of E2F1 (Fisher's exact test, top 10 most enriched target sets).
    Genomic, Epigenomic, And Transcriptomic Data For 32 Tcga Cancer Types, supplied by Broad Institute Inc, 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/and+transcriptomics/genomic++epigenomic++and+transcriptomic+data+for+32+tcga+cancer+types/pmc05753188-21-7-17
    Average 90 stars, based on 1 article reviews
    genomic, epigenomic, and transcriptomic data for 32 tcga cancer types - by Bioz Stars, 2026-11
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    1) Product Images from "LinkedOmics: analyzing multi-omics data within and across 32 cancer types"

    Article Title: LinkedOmics: analyzing multi-omics data within and across 32 cancer types

    Journal: Nucleic Acids Research

    doi: 10.1093/nar/gkx1090

    Functional impact of RB1 mutation on mRNA expression in Bladder Cancer. ( A ) In the TCGA BLCA (Bladder urothelial carcinoma) cohort, 1518 genes showed significant up-regulation (dark red dots, FDR < 0.01) in RB1 mutated samples whereas 1294 genes showed significant down-regulation (dark green dots, FDR < 0.01). ( B ) Among the most significant genes, up-regulation was found for CDKN2A and E2F1 (positive rank #1 and #22) whereas down-regulation was found for RB1 and CCND1 (negative rank #1 and #29). ( C ) The 1518 up-regulated genes were significantly enriched with transcriptional targets of E2F1 (Fisher's exact test, top 10 most enriched target sets).
    Figure Legend Snippet: Functional impact of RB1 mutation on mRNA expression in Bladder Cancer. ( A ) In the TCGA BLCA (Bladder urothelial carcinoma) cohort, 1518 genes showed significant up-regulation (dark red dots, FDR < 0.01) in RB1 mutated samples whereas 1294 genes showed significant down-regulation (dark green dots, FDR < 0.01). ( B ) Among the most significant genes, up-regulation was found for CDKN2A and E2F1 (positive rank #1 and #22) whereas down-regulation was found for RB1 and CCND1 (negative rank #1 and #29). ( C ) The 1518 up-regulated genes were significantly enriched with transcriptional targets of E2F1 (Fisher's exact test, top 10 most enriched target sets).

    Techniques Used: Functional Assay, Mutagenesis, Expressing

    Pan-cancer analysis for survival-associated gene expression signatures. ( A ) Twelve cancer types in the TCGA project with >100 death events. ( B ) The heat map shows the top 30 poor survival-associated genes. Each cell represents the signed –log 10 ( P -value). The right panel bar plot depicts corresponding meta-analysis based FDR. A and B share the same order of cancer types, as indicated below the heat map. ( C ) Increased expression of genes in the cell cycle pathway is associated with increased death risk (FDR<0.001, gene set enrichment analysis). Leading-edge genes are highlighted in red boxes in C. ( D–G ) Patients with above- (red) and below- (green) median APCDD1L mRNA abundance had significantly different survival rates in multiple cancer types such as bladder urothelial carcinoma (BLCA, D), head and neck squamous cell carcinoma (HNSC, E), kidney renal clear cell carcinoma (KIRC, F), and brain lower grade glioma (LGG, G).
    Figure Legend Snippet: Pan-cancer analysis for survival-associated gene expression signatures. ( A ) Twelve cancer types in the TCGA project with >100 death events. ( B ) The heat map shows the top 30 poor survival-associated genes. Each cell represents the signed –log 10 ( P -value). The right panel bar plot depicts corresponding meta-analysis based FDR. A and B share the same order of cancer types, as indicated below the heat map. ( C ) Increased expression of genes in the cell cycle pathway is associated with increased death risk (FDR<0.001, gene set enrichment analysis). Leading-edge genes are highlighted in red boxes in C. ( D–G ) Patients with above- (red) and below- (green) median APCDD1L mRNA abundance had significantly different survival rates in multiple cancer types such as bladder urothelial carcinoma (BLCA, D), head and neck squamous cell carcinoma (HNSC, E), kidney renal clear cell carcinoma (KIRC, F), and brain lower grade glioma (LGG, G).

    Techniques Used: Gene Expression, Expressing

    Related Articles

    Functional Assay:

    Article Title: LinkedOmics: analyzing multi-omics data within and across 32 cancer types
    Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version)

    Mutagenesis:

    Article Title: LinkedOmics: analyzing multi-omics data within and across 32 cancer types
    Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version)

    Expressing:

    Article Title: LinkedOmics: analyzing multi-omics data within and across 32 cancer types
    Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version)

    Gene Expression:

    Article Title: LinkedOmics: analyzing multi-omics data within and across 32 cancer types
    Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version)



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