MIR4645
Name
microRNA 4645
Synonyms
hsa-mir-4645 [provided by Ensembl, GRCh37]
Location
chr6:2,854,265-2,854,341 (reverse strand)
Summary
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]
Ensembl gene ID
Biotype
Short noncoding
NCBI gene ID
Search for articles
Gene Networks
Gene regulatory network (GRN) of the gene in two interaction steps distance for the selected cell types. The network depth can be varied by updating the number in the box of Network Settings. The GRN is based on C3NET algorithm [1]. Each links are the highest association scores for one of the genes of gene pairs. The numbers near the checked boxes refer to the numbers of links contributed by each of the cell types. One can uncheck and remove the links of any of the cell types from the network. The network topology is dynamic and can be re-arranged by pulling a node with a mouse. The solid and dashed lines refer to positive and negative correlations, respectively. Right clicking a node will bring up a menu with additional options. The arrows show the most likely direction of regulation between gene pairs.
[1]
[2]
Gene regulatory network (GRN) of the gene in two interaction steps distance for the selected cell types. The network depth can be varied by updating the number in the box of Network Settings. The GRN is based on C3NET algorithm [1]. Each links are the highest association scores for one of the genes of gene pairs. The numbers near the checked boxes refer to the numbers of links contributed by each of the cell types. One can uncheck and remove the links of any of the cell types from the network. The network topology is dynamic and can be re-arranged by pulling a node with a mouse. The solid and dashed lines refer to positive and negative correlations, respectively. Right clicking a node will bring up a menu with additional options. The arrows show the most likely direction of regulation between gene pairs.
[1] [2]
| Source | Gene | Ensembl ID | Biotype | Corr. Sign | Corr. Magnitude (r) |
|---|
