Entry Detail



General Information

Database ID:exR0092988
RNA Name:hsa-miR-1247-5p
RNA Type:miRNA
Chromosome:chr14
Starnd:-
Coordinate:
Start Site(bp):101560362End Site(bp):101560383
External Links:hsa-miR-1247-5p



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:
Gene SymbolChromosomeStart Site(bp)End Site(bp)Strand
HNRNPUL1
chr19
41262496
41307787
+
ELK4
chr1
205597556
205632011
-
IER5
chr1
181088700
181092900
+
miRNA targets:NA
circRNA targets:NA
lncRNA targets:
lncRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
AC234582.1
chr1
155195004
155205495
+
NEAT1
chr11
65422774
65445540
+
SNHG22
chr18
49814023
49851059
+
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.