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Displaying 7 of 7 results for "MIR331"
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  1. Integrative Analysis of microRNA, mRNA and DNA Copy Number Data Reveals Asbestos-Related Changes in Non-Small Cell Lung Cancer OmicsDI

    ID: E-GEOD-25508

    Date Released: 09-11-2014

    Description: ve novel asbestos-related miRNAs (over-expressed: miR-148b, miR-374a, miR-24-1*, Let-7d, Let-7e, miR-199b-5p, miR-331-3p and under-expressed: miR-939, miR-671-5p, miR-605, miR-1224-5p, miR-202) which inversely correlated with target genes (e.g. GADD45A, LTBP1, FOSB, NCALD, CACNA2D2, MTSS1, EPB41L3) were identified. In addition, several known and new lung cancer-associated miRNAs were identified. DNA copy number alterations were also correlated with the deregulation of four miRNAs in lung cancer. The importance of i...

  2. Integrative Analysis of microRNA, mRNA and DNA Copy Number Data Reveals Asbestos-Related Changes in Non-Small Cell Lung Cancer ArrayExpress

    ID: E-GEOD-25508

    Description: ve novel asbestos-related miRNAs (over-expressed: miR-148b, miR-374a, miR-24-1*, Let-7d, Let-7e, miR-199b-5p, miR-331-3p and under-expressed: miR-939, miR-671-5p, miR-605, miR-1224-5p, miR-202) which inversely correlated with target genes (e.g. GADD45A, LTBP1, FOSB, NCALD, CACNA2D2, MTSS1, EPB41L3) were identified. In addition, several known and new lung cancer-associated miRNAs were identified. DNA copy number alterations were also correlated with the deregulation of four miRNAs in lung cancer. The importance of i...

  3. Integrative Analysis of microRNA, mRNA and DNA Copy Number Data Reveals Asbestos-Related Changes in Non-Small Cell Lung Cancer BioProject

    ID: PRJNA134653

    Keywords: Transcriptome or Gene expression

    Access Type: download

  4. Genome-wide Transcriptional Profiling Reveals MicroRNA-correlated Genes and Pathways in Human Lymphoblastoid Cell Lines BioProject

    ID: PRJNA112077

    Keywords: Transcriptome or Gene expression

    Access Type: download

  5. Homo sapiens : Mapping Genes for Non-Insulin Dependent Diabetes Mellitus - Tissue Biopsy Study BioProject

    ID: PRJNA306561

    Access Type: download

    dataset.description: sy Study, we are obtaining and analyzing RNA-Seq, microRNA (miRNA)-Seq, DNA methylation (methyl)-Seq, and enhancer RNA (eRNA)-Seq data on biopsy samples from 331 individuals from across the range of glucose tolerance: 128 normal glucose tolerance (NGT), 84 impaired glucose tolerance (IGT), 52 impaired fasting glucose (IFG), and 67 newly-diagnosed T2Ds. Participants completed two study visits, two weeks apart. First visits were comprised of most of the clinical phenotyping... (for more see dbGaP study page.)...
  6. Mapping Genes for Non-Insulin Dependent Diabetes Mellitus - Tissue Biopsy Study BioProject

    ID: PRJNA306562

    Keywords: Phenotype or Genotype

    Access Type: download

    dataset.description: sy Study, we are obtaining and analyzing RNA-Seq, microRNA (miRNA)-Seq, DNA methylation (methyl)-Seq, and enhancer RNA (eRNA)-Seq data on biopsy samples from 331 individuals from across the range of glucose tolerance: 128 normal glucose tolerance (NGT), 84 impaired glucose tolerance (IGT), 52 impaired fasting glucose (IFG), and 67 newly-diagnosed T2Ds. Participants completed two study visits, two weeks apart. First visits were comprised of most of the clinical phenotyping... (for more see dbGaP study page.)...
  7. Networks and miRNAs implicated in aggressive prostate cancer BioProject

    ID: PRJNA125623

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: been implicated in cell cycle regulation and two (miR-145 and miR-331-3p) are predicted to target three of the 20 hub genes. Ectopic expression of these two microRNAs reduced expression of target hub genes and subsequently resulted in cell growth inhibition and apoptosis. These results suggest that cell cycle is likely to be a molecular pathway causing aggressive phenotype of PC. Further characterization of cell cycle-related genes (particularly, the hub genes) and miRNAs that regulate these hub genes could facilitate identification of candidate genes responsible for the aggressive phenotype and lead to a better understanding of PC etiology and progression [Cancer Res 2009;69(24):9490–7]. Keywords: weighted gene coexpression analysis, network analysis, microRNA regulation Overall design: Apply weighted gene coexpression network analysis to identify gene expression module responsible for aggressive prostate cancer....

Displaying 7 of 7 results for "MIR331"