This menu provides the list of EV miRNAs identified by high-throughput analyses.
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Search:
Dataset accession
miRBase accession
Mature name
Orthologous group
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).
By species
Bos taurus
Homo sapiens
Mus musculus
In vitro/In vivo
Ex vivo
In vitro
In vivo
By sample type
Blood
Breast cancer cells (4T1)
Breast cancer cells (MCF7)
Breast cancer cells (MDA-MB-231)
Caput epithelial cell
Caput luminal fluid
Cauda epithelial cell
Cauda luminal fluid
Colon cancer cell (SW48)
Colon cancer cell (SW480)
Colorectal cancer cell (SW480)
Colorectal cancer cell (SW620)
Drug-resistant acute lymphoblastic leukemia cell (CCRF-CEM MDR variant VLB100)
Drug-resistant breast adenocarcinoma cell (MCF-7 MDR variant MCF-7/DX)
Immature bone marrow-derived dendritic cell
Liver cancer cells (CSQT-2)
Lung cancer cell (DMS563)
Lung cancer cell (NCI_H69)
Lung cancer cell (SBC-3)
Mammary gland cells (MCF10A)
Mammary gland cells (NMuMG)
Mature bone marrow-derived dendritic cell
Metastatic gastric cacncer cell (AZP7a)
Metastatic gastric cancer cell (AZ521)
Plasma
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By sample status
24 hr culture
72 hr culture
Grain-fed
Grazing
Grazing_0 month
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Grazing_2 month
Grazing_4 month
Healthy_timepoint1
Housed_0 month
Housed_1 month
Housed_2 month
Housed_4 month
Normal
Normal_Exiqon
Pollen allergy_timepoint1
Transplant islets into mouse xenotransplantation
Vasectomy
Vasovasostomy
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:
100
200
All
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)
bta-miR-29a
MIMAT0003518
2.3e-4
2.3e-4
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29b
MIMAT0003828
3.8e-3
3.8e-3
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29c
MIMAT0003829
2.0e-2
2.0e-2
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29a
MIMAT0003518
1.1e-5
1.1e-5
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29b
MIMAT0003828
1.8e-3
1.8e-3
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29c
MIMAT0003829
5.9e-3
5.9e-3
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29a
MIMAT0003518
0.0e+0
2.2e-1
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29b
MIMAT0003828
0.0e+0
4.2e-1
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29c
MIMAT0003829
0.0e+0
4.2e-1
Grazing Affects Exosomal Circulating MicroRNAs in Cattle.
PLoS One. 2015 Aug 26;10(8):e0136475. doi: 10.1371/journal.pone.0136475. eCollection 2015.
MIPF0000009_1
43
/
0
/
43
bta-miR-29a
MIMAT0003518
0.0e+0
2.5e-2
Differences in Circulating microRNAs between Grazing and Grain-Fed Wagyu Cattle Are Associated with Altered Expression of Intramuscular microRNA, the Potential Target PTEN, and Lipogenic Genes.
PLoS One. 2016 Sep 9;11(9):e0162496. doi: 10.1371/journal.pone.0162496. eCollection 2016.
MIPF0000009_1
43
/
0
/
43
bta-miR-29b
MIMAT0003828
0.0e+0
3.5e-2
Differences in Circulating microRNAs between Grazing and Grain-Fed Wagyu Cattle Are Associated with Altered Expression of Intramuscular microRNA, the Potential Target PTEN, and Lipogenic Genes.
PLoS One. 2016 Sep 9;11(9):e0162496. doi: 10.1371/journal.pone.0162496. eCollection 2016.
MIPF0000009_1
43
/
0
/
43
bta-miR-29c
MIMAT0003829
0.0e+0
2.8e-2
Differences in Circulating microRNAs between Grazing and Grain-Fed Wagyu Cattle Are Associated with Altered Expression of Intramuscular microRNA, the Potential Target PTEN, and Lipogenic Genes.
PLoS One. 2016 Sep 9;11(9):e0162496. doi: 10.1371/journal.pone.0162496. eCollection 2016.
MIPF0000009_1
43
/
0
/
43
bta-miR-29a
MIMAT0003518
0.0e+0
5.0e-2
Differences in Circulating microRNAs between Grazing and Grain-Fed Wagyu Cattle Are Associated with Altered Expression of Intramuscular microRNA, the Potential Target PTEN, and Lipogenic Genes.
PLoS One. 2016 Sep 9;11(9):e0162496. doi: 10.1371/journal.pone.0162496. eCollection 2016.
MIPF0000009_1
43
/
0
/
43
bta-miR-29b
MIMAT0003828
0.0e+0
6.9e-2
Differences in Circulating microRNAs between Grazing and Grain-Fed Wagyu Cattle Are Associated with Altered Expression of Intramuscular microRNA, the Potential Target PTEN, and Lipogenic Genes.
PLoS One. 2016 Sep 9;11(9):e0162496. doi: 10.1371/journal.pone.0162496. eCollection 2016.
MIPF0000009_1
43
/
0
/
43
bta-miR-29c
MIMAT0003829
0.0e+0
6.6e-2
Differences in Circulating microRNAs between Grazing and Grain-Fed Wagyu Cattle Are Associated with Altered Expression of Intramuscular microRNA, the Potential Target PTEN, and Lipogenic Genes.
PLoS One. 2016 Sep 9;11(9):e0162496. doi: 10.1371/journal.pone.0162496. eCollection 2016.
MIPF0000009_1
43
/
0
/
43
age-miR-29a
MIMAT0002361
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
cfa-miR-29a
MIMAT0006626
0.0e+0
4.2e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
ggo-miR-29a
MIMAT0002360
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
lla-miR-29a
MIMAT0002367
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
mne-miR-29a
MIMAT0002368
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
ppa-miR-29a
MIMAT0002362
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
ppy-miR-29a
MIMAT0002363
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
ptr-miR-29a
MIMAT0002364
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
sla-miR-29a
MIMAT0002366
0.0e+0
2.0e-2
Tissue-specific exosome biomarkers for noninvasively monitoring immunologic rejection of transplanted tissue.
J Clin Invest. 2017 Apr 3;127(4):1375-1391. doi: 10.1172/JCI87993. Epub 2017 Mar 20.
MIPF0000009_1
43
/
0
/
43
hsa-miR-29b-1-5p
MIMAT0004514
0.0e+0
3.1e-1
Tumor-derived exosomal miR-1247-3p induces cancer-associated fibroblast activation to foster lung metastasis of liver cancer.
Nat Commun. 2018 Jan 15;9(1):191. doi: 10.1038/s41467-017-02583-0.
MIPF0000009_1
43
/
0
/
43
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