|Description||microRNAs (miRNAs) are short (20-24 nt) non-coding RNAs that are involved in post-transcriptional regulation of gene expression in multicellular organisms by affecting both the stability and translation of mRNAs. miRNAs are transcribed by RNA polymerase II as part of capped and polyadenylated primary transcripts (pri-miRNAs) that can be either protein-coding or non-coding. The primary transcript is cleaved by the Drosha ribonuclease III enzyme to produce an approximately 70-nt stem-loop precursor miRNA (pre-miRNA), which is further cleaved by the cytoplasmic Dicer ribonuclease to generate the mature miRNA and antisense miRNA star (miRNA*) products. The mature miRNA is incorporated into a RNA-induced silencing complex (RISC), which recognizes target mRNAs through imperfect base pairing with the miRNA and most commonly results in translational inhibition or destabilization of the target mRNA. The RefSeq represents the predicted microRNA stem-loop. [provided by RefSeq, Sep 2009]|
|NCBI Gene ID||100847037|
|Expression in Tissues and Cell Lines||
MIR5001 has 293 functional associations with biological entities spanning 1 categories (cell line, cell type or tissue) extracted from 4 datasets.
Click the + buttons to view associations for MIR5001 from the datasets below.
If available, associations are ranked by standardized value
|CCLE Cell Line Gene CNV Profiles||cell lines with high or low copy number of MIR5001 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset.|
|GTEx Tissue Gene Expression Profiles||tissues with high or low expression of MIR5001 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset.|
|GTEx Tissue Sample Gene Expression Profiles||tissue samples with high or low expression of MIR5001 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset.|
|Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles||cell lines with high or low copy number of MIR5001 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.|