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-378cMIMAT0016847 0.0e+0 4.5e-1microRNA signature is altered in both human epididymis and seminal microvesicles following vasectomy.
Hum Reprod. 2013 Jun;28(6):1455-67. doi: 10.1093/humrep/det088. Epub 2013 Mar 28.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 0.0e+0 4.5e-1microRNA signature is altered in both human epididymis and seminal microvesicles following vasectomy.
Hum Reprod. 2013 Jun;28(6):1455-67. doi: 10.1093/humrep/det088. Epub 2013 Mar 28.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 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.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 0.0e+0 4.8e-1Characterization of human plasma-derived exosomal RNAs by deep sequencing.
BMC Genomics. 2013 May 10;14:319. doi: 10.1186/1471-2164-14-319.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 0.0e+0 4.2e-1Characterization of human plasma-derived exosomal RNAs by deep sequencing.
BMC Genomics. 2013 May 10;14:319. doi: 10.1186/1471-2164-14-319.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 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.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 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.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 5.6e-5 4.8e-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.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 3.7e-4 4.7e-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.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 3.8e-4 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.
Not available11 / 0 / 11
hsa-miR-378cMIMAT0016847 0.0e+0 2.1e-2Cancer Exosomes Perform Cell-Independent MicroRNA Biogenesis and Promote Tumorigenesis.
Cancer Cell. 2014 Nov 10;26(5):707-721. doi: 10.1016/j.ccell.2014.09.005. Epub 2014 Oct 23.
Not available11 / 0 / 11
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