Entry Detail



General Information

Database ID:exR0093435
RNA Name:hsa-miR-3139
RNA Type:miRNA
Chromosome:chr4
Starnd:+
Coordinate:
Start Site(bp):143343469End Site(bp):143343491
External Links:hsa-miR-3139



Disease Information

Disease Name:Benign Ovarian Disease
Disease Category:Urogenital Diseases and Pregnancy Complications
MeSH ID:D010049
Type:Diseases Category/Female Urogenital Diseases and Pregnancy Complications
Alias:Ovarian Diseases//Disease, Ovarian//Diseases, Ovarian//Ovarian Disease



Expression Detail

GEO ID:GSE106817
Description:Integrated extracellular microRNA profiling for ovarian cancer screening
Experimental Design:Cancer vs Control
Case Disease Type:Benign Ovarian Disease
Case Disease SubType:NA
Case Sample:Benign Ovarian Disease
Control Sample:Non-Cancer
Number of Case:29
Number of Control:2759
Number of Samples:2788





Regulatory Relationship

mRNA targets:NA
miRNA targets:NA
circRNA targets:
circRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
hsa_circ_0000417
chr12
69644908
69656342
+
hsa_circ_0001146
chr20
34241449
34246936
-
hsa_circ_0001164
chr20
45891031
45923523
-
lncRNA targets:
lncRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
AC009065.4
chr16
2119207
2120248
+
AC016876.2
chr17
7581964
7584086
-
AC026362.1
chr12
122975320
122982907
+
AC118758.3
chr7
56809214
56848800
-
MALAT1
chr11
65497688
65506516
+
NEAT1
chr11
65422774
65445540
+
OIP5-AS1
chr15
41283990
41309737
+
XIST
chrX
73820649
73852723
-
Display:



Experiment Detail

GEO ID:GSE106817
Sample Source:Blood
Source Fraction:Serum
Platform:GPL21263
Method:Microarray
Num of detected RNA Type:1
Num of detected RNAs of this Type:2535
Sample treatment protocol:NA
RNA Extract protocol:Total RNA was extracted each from 300uL serum samples using 3D-Gene® RNA extraction reagent from liquid sample kit (Toray Industries, Inc.).
RNA library preparation protocol:miRNA was labeled using 3D-Gene® miRNA Labeling kit in accordance with the manufacturer's instructions.



Reference

PMID:30333487
Title:Integrated extracellular microRNA profiling for ovarian cancer screening
Author:Yokoi A, Matsuzaki J, Yamamoto Y, Yoneoka Y, Takahashi K, Shimizu H, Uehara T, Ishikawa M, Ikeda SI, Sonoda T, Kawauchi J, Takizawa S, Aoki Y, Niida S, Sakamoto H, Kato K, Kato T, Ochiya T
Journal:Nat Commun. 2018 Oct 17;9(1):4319.
Description:to develop an optimal detection method, we use microarrays to obtain comprehensive miRNA profiles from 4046 serum samples, including 428 patients with ovarian tumors.