exRNAdisease

Entry Detail

General Information

Database ID:

exR0196677

RNA Name:

hsa-miR-3121-3p

RNA Type:

miRNA

Chromosome:

chr1

Starnd:

-

Coordinate:

Start Site(bp):

180438323

End Site(bp):

180438344

External Links:

hsa-miR-3121-3p

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:

NA

miRNA targets:

NA

circRNA targets:

NA

lncRNA targets:

lncRNA Symbol	Chromosome	Start Site(bp)	End Site(bp)	Strand
AC010327.5	chr19	55216660	55221616	+
AC010442.1	chr5	466124	473098	-
AC069281.2	chr7	100572232	100578700	-
AC079781.5	chr7	97851688	97972985	-
MALAT1	chr11	65497688	65506516	+
NEAT1	chr11	65422774	65445540	+
OIP5-AS1	chr15	41283990	41309737	+
U62317.3	chr22	50597152	50597599	+
XIST	chrX	73820649	73852723	-
ZFAS1	chr20	49278178	49299600	+

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