exRNAdisease

Entry Detail

General Information

Database ID:

exR0317346

RNA Name:

hsa-miR-639

RNA Type:

miRNA

Chromosome:

chr19

Starnd:

+

Coordinate:

Start Site(bp):

14529603

End Site(bp):

14529625

External Links:

Disease Information

Disease Name:	Benign Breast Disease
Disease Category:	Other Diseases
MeSH ID:	D001941
Type:	Diseases Category/Skin and Connective Tissue Diseases
Alias:	Breast Diseases//Breast Disease//Disease, Breast//Diseases, Breast//Endocrine Breast Diseases//Breast Disease, Endocrine//Breast Diseases, Endocrine//Disease, Endocrine Breast//Diseases, Endocrine Breast//Endocrine Breast Disease

Expression Detail

GEO ID:	GSE73002
Description:	A circulating microRNA panel to diagnose breast cancer
Experimental Design:	Disease vs Control
Case Disease Type:	Benign Breast Disease
Case Disease SubType:	NA
Case Sample:	Benign Breast Disease
Control Sample:	Non-Cancer
Number of Case:	54
Number of Control:	2686
Number of Samples:	2740

Regulatory Relationship

mRNA targets:

Gene Symbol	Chromosome	Start Site(bp)	End Site(bp)	Strand
PRDX2	chr19	12796820	12801800	-
FTL	chr19	48965309	48966879	+
GLRX3	chr10	130136391	130184521	+
INPPL1	chr11	72223701	72239147	+
PTK2B	chr8	27311482	27459391	+
TECR	chr19	14517085	14565980	+
ZFYVE26	chr14	67727374	67816590	-

miRNA targets:

NA

circRNA targets:

NA

lncRNA targets:

NA

Display:

Experiment Detail

GEO ID:	GSE73002
Sample Source:	Blood
Source Fraction:	Serum
Platform:	GPL18941
Method:	Microarray
Num of detected RNA Type:	1
Num of detected RNAs of this Type:	2512
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:	26749252
Title:	Novel combination of serum microRNA for detecting breast cancer in the early stage
Author:	Shimomura A, Shiino S, Kawauchi J, Takizawa S, Sakamoto H, Matsuzaki J, Ono M, Takeshita F, Niida S, Shimizu C, Fujiwara Y, Kinoshita T, Tamura K, Ochiya T
Journal:	Cancer Sci. 2016 Mar;107(3):326-34.
Description:	we examined the expression profiles of serum miRNA in several large cohorts to identify novel miRNA that can be used to detect early stage breast cancer.