E-GEOD-63813
Ontology highlight
ABSTRACT:
TISSUE(S): Heart, Tail Bud, Whole Organism
PROVIDER: E-GEOD-63813 | ExpressionAtlas | 2019-05-14
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-63813-analysis-methods.tsv | Tabular | |||
| E-GEOD-63813-analytics.tsv | Tabular | |||
| E-GEOD-63813-analytics.tsv.undecorated | Tabular | |||
| E-GEOD-63813-analytics.tsv.undecorated.unrounded | Tabular | |||
| E-GEOD-63813-analytics.tsv.unrounded | Tabular |
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2015-02-02 | E-GEOD-63813 | biostudies-arrayexpress
Project description:The microRNAs encoded by the miR-17~92 polycistron are commonly overexpressed in cancer and orchestrate a wide range of oncogenic functions. Here, we identify a novel mechanism for miR-17~92 oncogenic function through the disruption of endogenous miRNA processing. We show that upon oncogenic overexpression of the miR-17~92 primary transcript (pri-miR-17~92), the Microprocessor complex remains associated with partially processed intermediates that aberrantly accumulate. These intermediates reflect a series of hierarchical and conserved steps in the early processing of the pri-miR-17~92 transcript. Encumbrance of the Microprocessor by miR-17~92 intermediates leads to the broad, but selective, downregulation of co-expressed polycistronic miRNAs, including miRNAs derived from tumour suppressive miR-34b/c, and from the Dlk1-Dio3 polycistrons. We propose that the newly identified steps of polycistronic miR-17~92 biogenesis contribute to the oncogenic re-wiring of gene regulation networks. Our results reveal new functional paradigms for polycistronic miRNAs in cancer.
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Project description:We report the generation of an allelic series of miR-17~92 mutant mice, each carrying the targeted deletion of specific miRNA families encoded by the cluster. We integrate the phenotypic characterization of these strains with RNA-seq analysis showing the consequences of selective miRNA inactivation on gene expression in the developing embryo.
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Project description:Purpose: The goal of this study is to compare the differential expression of transcripts in control kidneys compared to kidneys lacking the miR-17~92 cluster in nephron progenitors and their derivatives by RNA-seq to identify potential miRNA targets in the mutant kidneys. mRNA profiles of control and mutant (=Six2-TGC; miR-17~92 flx/flx) embryonic day 16 kidneys were generated by deep sequencing, in triplicate, using Illumina HiSeq2000
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