This menu provides the list of EV miRNAs identified by high-throughput analyses.

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Superdomain: All Prokaryote Eukaryote
Filter datasets:
  - "Sample type" indicates the source from which EVs originated (e.g. B cell, serum).
  - "Sample status" indicates the condition of the source from which EVs originated (e.g. Normal, miR-146a-treated, Patients of hernia).
Maximum false positive rate (FPR): Maximum true positive rate (TPR):
  - FPR is the probability that an absent miRNA accidently have higher intensity than that miRNA.
  - TPR is the percentile of miRNA among the present miRNAs.
    Please see user manual in the contact us/help menu for detail.
Number of molecules in one page:

The downloaded CSV file is not exactly the same as the displayed table. Opening CSV file with Excel can impair its content.

Since there are multiple primers in the microarray, the same miRNA can have several FPR and TPR values.

Mature name miRBase accession FPR TPR Publication Orthologous group Identification count
All / Prokaryote / Eukaryote
(FPR<0.05,TPR<0.5)
hsa-miR-142-5pMIMAT0000433 1.8e-3 4.4e-1Unidirectional transfer of microRNA-loaded exosomes from T cells to antigen-presenting cells.
Nat Commun. 2011;2:282. doi: 10.1038/ncomms1285.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 1.3e-2 4.6e-1Unidirectional transfer of microRNA-loaded exosomes from T cells to antigen-presenting cells.
Nat Commun. 2011;2:282. doi: 10.1038/ncomms1285.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 2.4e-2 4.6e-1Unidirectional transfer of microRNA-loaded exosomes from T cells to antigen-presenting cells.
Nat Commun. 2011;2:282. doi: 10.1038/ncomms1285.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 4.7e-1Characterization of human plasma-derived exosomal RNAs by deep sequencing.
BMC Genomics. 2013 May 10;14:319. doi: 10.1186/1471-2164-14-319.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 4.9e-1Characterization of mRNA and microRNA in human mast cell-derived exosomes and their transfer to other mast cells and blood CD34 progenitor cells.
J Extracell Vesicles. 2012 Apr 16;1. doi: 10.3402/jev.v1i0.18389. eCollection 2012.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 3.9e-1The human miRNA repertoire of different blood compounds.
BMC Genomics. 2014 Jun 14;15:474. doi: 10.1186/1471-2164-15-474.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 1.8e-1The human miRNA repertoire of different blood compounds.
BMC Genomics. 2014 Jun 14;15:474. doi: 10.1186/1471-2164-15-474.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 3.4e-1Combined Evaluation of a Panel of Protein and miRNA Serum Exosome Biomarkers for Pancreatic Cancer Diagnosis Increases Sensitivity and Specificity.
Int J Cancer. 2014 Nov 12. doi: 10.1002/ijc.29324.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 1.1e-3 4.9e-1Combined Evaluation of a Panel of Protein and miRNA Serum Exosome Biomarkers for Pancreatic Cancer Diagnosis Increases Sensitivity and Specificity.
Int J Cancer. 2014 Nov 12. doi: 10.1002/ijc.29324.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 3.5e-1Combined Evaluation of a Panel of Protein and miRNA Serum Exosome Biomarkers for Pancreatic Cancer Diagnosis Increases Sensitivity and Specificity.
Int J Cancer. 2014 Nov 12. doi: 10.1002/ijc.29324.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 0.0e+0 4.6e-1Combined Evaluation of a Panel of Protein and miRNA Serum Exosome Biomarkers for Pancreatic Cancer Diagnosis Increases Sensitivity and Specificity.
Int J Cancer. 2014 Nov 12. doi: 10.1002/ijc.29324.		MIPF0000084_138 / 0 / 38
hsa-miR-142-5pMIMAT0000433 1.8e-2 1.8e-2Replenishing exosomes from older bone marrow stromal cells with miR-340 inhibits myeloma-related angiogenesis.
Blood Adv. 2017 May 16;1(13):812-823. doi: 10.1182/bloodadvances.2016003251. eCollection 2017 May 23.		MIPF0000084_138 / 0 / 38
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