transcriptomic and epigenomic data Search Results


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Epigenomics ag transcriptomics data
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Epigenomics ag genome-wide methylomic and transcriptomic profiles of purified monocytes
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Epigenomics ag genomic segmentation and whole-transcriptome rna sequencing (rna-seq) datasets
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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).
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Epigenomics ag and transcriptomics research
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).
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GeneLAB GmbH mouse extensor digitorum longus muscle transcriptomic and epigenomic data
Genelab datasets analyzed in the manuscript.
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Epigenomics ag human cell transcriptome data
Genelab datasets analyzed in the manuscript.
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Epigenomics ag advanced genomics, transcriptomics, and
Genelab datasets analyzed in the manuscript.
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Epigenomics ag epigenetic and transcriptomic data
Genelab datasets analyzed in the manuscript.
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Image Search Results


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).

Journal: Nucleic Acids Research

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

doi: 10.1093/nar/gkx1090

Figure Lengend 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).

Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were downloaded from the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version).

Techniques: 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).

Journal: Nucleic Acids Research

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

doi: 10.1093/nar/gkx1090

Figure Lengend 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).

Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were downloaded from the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version).

Techniques: Gene Expression, Expressing

Genelab datasets analyzed in the manuscript.

Journal: Scientific Reports

Article Title: Aging and putative frailty biomarkers are altered by spaceflight

doi: 10.1038/s41598-024-57948-5

Figure Lengend Snippet: Genelab datasets analyzed in the manuscript.

Article Snippet: OSD-99 , Rodent Research-1 (RR1) NASA Validation Flight: Mouse extensor digitorum longus muscle transcriptomic and epigenomic data , Galazka J, Globus R "Rodent Research 1", GeneLab, Version 4, http://doi.org/10.26030/1h3m-3q49 , Extensor digitorum longus muscle.

Techniques: Gene Expression, Expressing, Biomarker Discovery, Irradiation