Entry Detail


General Information

Database ID:exR0094331
RNA Name:hsa-miR-492
RNA Type:miRNA
Chromosome:chr12
Starnd:+
Coordinate:
Start Site(bp):94834427End Site(bp):94834449
External Links:hsa-miR-492



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
DYRK1A
chr21
37365573
37526358
+
KMT5A
chr12
123383773
123409353
+
NASP
chr1
45583846
45618904
+
ACAA2
chr18
49782164
49813953
-
ARL6IP1
chr16
18791669
18801572
-
EPCAM
chr2
47345158
47387601
+
GOPC
chr6
117560269
117602542
-
KRT19
chr17
41523617
41528308
-
RPS12
chr6
132814569
132817564
+
RPS16
chr19
39433137
39435949
-
SLC18B1
chr6
132769370
132813339
-
SLC20A1
chr2
112645939
112663825
+
TRMT44
chr4
8436140
8493531
+
UBC
chr12
124911604
124917368
-
miRNA targets:NA
circRNA targets:NA
lncRNA targets:NA
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.