Entry Detail


General Information

Database ID:exR0094333
RNA Name:hsa-miR-493-5p
RNA Type:miRNA
Chromosome:chr14
Starnd:+
Coordinate:
Start Site(bp):100869075End Site(bp):100869096
External Links:hsa-miR-493-5p



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_0001866
chr9
86293355
86297981
-
hsa_circ_0001666
chr6
170626457
170639638
+
hsa_circ_0001865
chr9
86292641
86293514
-
lncRNA targets:
lncRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
AC021078.1
chr5
149494314
149504670
-
AC126365.1
chr17
20788071
20789584
+
FGD5-AS1
chr3
14920347
14948424
-
MALAT1
chr11
65497688
65506516
+
MIR4458HG
chr5
8450701
8486930
+
NEAT1
chr11
65422774
65445540
+
SNHG1
chr11
62851984
62855953
-
SNHG3
chr1
28505980
28510892
+
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.