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

Search:
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-660-3pMIMAT0022711 0.0e+0 3.0e-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.		MIPF0000113_232 / 0 / 32
hsa-miR-660-3pMIMAT0022711 1.1e-7 3.6e-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.		MIPF0000113_232 / 0 / 32
hsa-miR-660-3pMIMAT0022711 3.0e-7 3.8e-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.		MIPF0000113_232 / 0 / 32
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