Entry Detail



General Information

Database ID:exR0093538
RNA Name:hsa-miR-325
RNA Type:miRNA
Chromosome:chrX
Starnd:-
Coordinate:
Start Site(bp):77005464End Site(bp):77005486
External Links:hsa-miR-325



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
ATP6V1A
chr3
113747033
113812056
+
CTTNBP2NL
chr1
112396214
112463456
+
RBFOX2
chr22
35738736
36028824
-
TGOLN2
chr2
85318020
85328296
-
miRNA targets:NA
circRNA targets:
circRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
hsa_circ_0001867
chr9
86294689
86297981
-
hsa_circ_0001866
chr9
86293355
86297981
-
lncRNA targets:
lncRNA SymbolChromosomeStart Site(bp)End Site(bp)Strand
AC021078.1
chr5
149494314
149504670
-
AC074117.1
chr2
27356246
27367622
+
MAPKAPK5-AS1
chr12
111839764
111842902
-
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.