| HGNC Family | Non-coding RNAs |
| Name | microRNA 3184 |
| 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] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRecent studies across diverse cancer types have revealed that miR‑3184 plays a critical role in regulating tumorigenesis. In breast cancer cells co‐cultured with mature adipocytes, miR‑3184‑5p was found to be significantly upregulated and implicated in modulating key oncogenic targets such as FOXP4, since manipulation of its expression in combination with other miRNAs notably reduced proliferation and invasion (see."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In prostate cancer, increased levels of the cytoplasmic lncRNA FOXP4‑AS1 act as a competing endogenous RNA to sequester miR‑3184‑5p, thus leading to relief of repression on the nearby FOXP4 gene and promoting cell proliferation while inhibiting apoptosis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Furthermore, in cervical cancer, diminished miR‑3184‑5p levels correlate with elevated ERBB2 expression and more aggressive tumor behavior"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": ", while in non‑small cell lung cancer, FOXP4‑AS1 similarly sponges miR‑3184‑5p to derepress EIF5A, culminating in enhanced proliferation and resistance to apoptosis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " In addition, studies in gastric cancer have demonstrated that exosomal miR‑3184‑5p is downregulated in patients and that its restoration suppresses cell proliferation, migration, and invasion by targeting factors such as XBP1."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn marked contrast, in glioma the scenario appears to be reversed: miR‑3184‑3p is enriched in cerebrospinal fluid exosomes from glioma patients and promotes tumor progression. This miRNA variant not only enhances glioma cell proliferation, migration, and invasion, but also modulates the tumor microenvironment by polarizing macrophages toward an M2‑like, immunosuppressive phenotype. Importantly, miR‑3184‑3p levels decline following tumor resection, suggesting its direct involvement in maintaining glioma aggressiveness."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Dheeran Rajarajan, Sweetha Selvarajan, Mamilla R Charan Raja, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genome-wide analysis reveals miR-3184-5p and miR-181c-3p as a critical regulator for adipocytes-associated breast cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Physiol (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/jcp.28428"}], "href": "https://doi.org/10.1002/jcp.28428"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30847933"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30847933"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Xingcheng Wu, Yu Xiao, Yi Zhou, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LncRNA FOXP4-AS1 is activated by PAX5 and promotes the growth of prostate cancer by sequestering miR-3184-5p to upregulate FOXP4."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Death Dis (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41419-019-1699-6"}], "href": "https://doi.org/10.1038/s41419-019-1699-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31209207"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31209207"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Hongli Liu, Yuzhi Li, Jing Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Erb‑B2 Receptor Tyrosine Kinase 2 is negatively regulated by the p53‑responsive microRNA‑3184‑5p in cervical cancer cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Rep (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/or.2020.7862"}], "href": "https://doi.org/10.3892/or.2020.7862"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33416166"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33416166"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Dingbiao Li, Zhenhua Li, Wang YanFei, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LncRNA FOXP4-AS promotes the progression of non-small cell lung cancer by regulating the miR-3184-5p/EIF5A axis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Tissue Eng Regen Med (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/term.3275"}], "href": "https://doi.org/10.1002/term.3275"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34921595"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34921595"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Shuangming Lin, Yonggu Que, Changrong Que, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Exosome miR-3184-5p inhibits gastric cancer growth by targeting XBP1 to regulate the AKT, STAT3, and IRE1 signalling pathways."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Asia Pac J Clin Oncol (2023)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/ajco.13663"}], "href": "https://doi.org/10.1111/ajco.13663"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35394683"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35394683"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Hao Xu, Ming Li, Ziwen Pan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-3184-3p enriched in cerebrospinal fluid exosomes contributes to progression of glioma and promotes M2-like macrophage polarization."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Sci (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/cas.15372"}], "href": "https://doi.org/10.1111/cas.15372"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35411604"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35411604"}]}]}]}
|
| NCBI Gene ID | 100423003 |
| API | |
| Download Associations | |
| Predicted Functions |
![]() |
| Co-expressed Genes |
![]() |
| Expression in Tissues and Cell Lines |
![]() |
MIR3184 has 1,122 functional associations with biological entities spanning 3 categories (molecular profile, cell line, cell type or tissue, gene, protein or microRNA) extracted from 9 datasets.
Click the + buttons to view associations for MIR3184 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR3184 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR3184 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR3184 gene from the ENCODE Histone Modification Site Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of MIR3184 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of MIR3184 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of MIR3184 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of MIR3184 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of MIR3184 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at MIR3184 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |