exRNAdisease

Entry Detail

General Information

Database ID:

exR0196500

RNA Name:

hsa-miR-197-3p

RNA Type:

miRNA

Chromosome:

chr1

Starnd:

+

Coordinate:

Start Site(bp):

109598940

End Site(bp):

109598961

External Links:

Disease Information

Disease Name:
Disease Category:
MeSH ID:
Type:
Alias:

Expression Detail

GEO ID:	GSE120584
Description:	Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
Experimental Design:	Disease vs Control
Case Disease Type:	Alzheimer's Disease
Case Disease SubType:	NA
Case Sample:	Alzheimer's Disease
Control Sample:	Normal
Number of Case:	1021
Number of Control:	288
Number of Samples:	1309

Regulatory Relationship

mRNA targets:

Gene Symbol	Chromosome	Start Site(bp)	End Site(bp)	Strand
E2F1	chr20	33675477	33686385	-
REEP4	chr8	22138020	22141951	-

miRNA targets:

NA

circRNA targets:

circRNA Symbol	Chromosome	Start Site(bp)	End Site(bp)	Strand
hsa_circ_0000591	chr15	41961025	41962156	+
hsa_circ_0001265	chr3	9711115	9712854	+
hsa_circ_0000943	chr19	47421744	47440665	+
hsa_circ_0001387	chr4	1902352	1936989	+
hsa_circ_0000826	chr18	9182379	9221997	+

lncRNA targets:

lncRNA Symbol	Chromosome	Start Site(bp)	End Site(bp)	Strand
AC135050.6	chr16	31122235	31124064	+
MALAT1	chr11	65497688	65506516	+
MIR497HG	chr17	7015818	7019659	-
NEAT1	chr11	65422774	65445540	+
TUG1	chr22	30969245	30979395	+
XIST	chrX	73820649	73852723	-

Display:

Experiment Detail

GEO ID:	GSE120584
Sample Source:	Blood
Source Fraction:	Serum
Platform:	GPL21263
Method:	Microarray
Num of detected RNA Type:	1
Num of detected RNAs of this Type:	2532
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:	30820472
Title:	Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
Author:	Shigemizu D, Akiyama S, Asanomi Y, Boroevich KA, Sharma A, Tsunoda T, Matsukuma K, Ichikawa M, Sudo H, Takizawa S, Sakurai T, Ozaki K, Ochiya T, Niida S
Journal:	Commun Biol. 2019 Feb 25;2:77.
Description:	we investigated potential miRNA biomarkers and constructed risk prediction models, based on a supervised principal component analysis (PCA) logistic regression method, according to the subtype of dementia