exRNAdisease

Entry Detail

General Information

Database ID:

exR0196504

RNA Name:

hsa-miR-198

RNA Type:

miRNA

Chromosome:

chr3

Starnd:

-

Coordinate:

Start Site(bp):

120395703

End Site(bp):

120395724

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
C18orf25	chr18	46173553	46266992	+
CGN	chr1	151510510	151538692	+
CS	chr12	56271699	56300391	-
FSTL1	chr3	120392293	120450993	-
UBE2K	chr4	39698109	39782792	+
CCDC103	chr17	44899142	44905390	+
CLTC	chr17	59619689	59696956	+
FAM187A	chr17	44899712	44905390	+
LRRC20	chr10	70298970	70382650	-
MAP1B	chr5	72107234	72209565	+
NECTIN2	chr19	44846175	44889223	+
RRP7A	chr22	42508344	42519796	-
TPGS2	chr18	36777647	36829216	-
TUBA1A	chr12	49184795	49189080	-
ZNF281	chr1	200404940	200410056	-

miRNA targets:

NA

circRNA targets:

NA

lncRNA targets:

lncRNA Symbol	Chromosome	Start Site(bp)	End Site(bp)	Strand
FTX	chrX	73940435	74293574	-

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