MIR365A | bioCADDIE Data Discovery Index
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Displaying 6 of 6 results for "MIR365A"
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  1. Expression data of NCI-H441 cells stably expressing hsa-mir-365-2 vs empty vector BioProject

    ID: PRJNA148717

    Keywords: Transcriptome or Gene expression

    Access Type: download

  2. Expression data of NCI-H441 cells stably expressing hsa-mir-365-2 vs empty vector OmicsDI

    ID: E-GEOD-33672

    Date Released: 11-21-2011

    Description: Hsa-mir-365-2 is one of the two precursors that give rise to miR-

  3. Expression data of NCI-H441 cells stably expressing hsa-mir-365-2 vs empty vector ArrayExpress

    ID: E-GEOD-33672

    Description: Hsa-mir-365-2 is one of the two precursors that give rise to miR-

  4. microRNA expression profiling of lobular neoplasia OmicsDI

    ID: E-GEOD-28514

    Date Released: 06-02-2014

    Description: ify LCIS lesions likely to progress to ILC. Since microRNA (miRNA) expression changes have been detected in a number of other cancer types, we explored whether their dysregulation might be detected during progression from LCIS to ILC. Using the Illumina miRNA profiling platform, designed for simultaneous analysis of 470 mature miRNAs, we analyzed the profiles of archived normal breast epithelium, LCIS lesions found alone, LCIS lesions concurrent with ILC, and the concurrent ILCs, as a model of linear histological progression toward ILC. We identified two sets of differentially expressed miRNAs, the first set highly expressed in normal epithelium, including hsa-

  5. microRNA expression profiling of lobular neoplasia BioProject

    ID: PRJNA138975

    Keywords: Transcriptome or Gene expression

    Access Type: download

  6. microRNA expression profiling of lobular neoplasia ArrayExpress

    ID: E-GEOD-28514

    Description: ify LCIS lesions likely to progress to ILC. Since microRNA (miRNA) expression changes have been detected in a number of other cancer types, we explored whether their dysregulation might be detected during progression from LCIS to ILC. Using the Illumina miRNA profiling platform, designed for simultaneous analysis of 470 mature miRNAs, we analyzed the profiles of archived normal breast epithelium, LCIS lesions found alone, LCIS lesions concurrent with ILC, and the concurrent ILCs, as a model of linear histological progression toward ILC. We identified two sets of differentially expressed miRNAs, the first set highly expressed in normal epithelium, including hsa-


Displaying 6 of 6 results for "MIR365A"