exRNAdisease

Entry Detail

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General Information

Database ID: exR0197227 RNA Name: hsa-miR-4492 RNA Type: miRNA Chromosome: chr11 Starnd: + Coordinate: Start Site(bp): 118910765 End Site(bp): 118910781 External Links: hsa-miR-4492

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 AGFG1 chr2 227472152 227561214 + NRARP chr9 137299631 137302271 - RHOA chr3 49359145 49412998 - AATF chr17 36948954 37056871 + ANOS1 chrX 8528874 8732137 - DDRGK1 chr20 3190350 3204685 - FBXL3 chr13 76992598 77027195 - LEPR chr1 65420652 65641559 + MDP1 chr14 24213943 24216070 - MELTF chr3 196988621 197029817 - NCKAP5L chr12 49791146 49828750 - PKN3 chr9 128702503 128720916 + RNF149 chr2 101271219 101308701 - SH3BP2 chr4 2793071 2841098 + SNAPC2 chr19 7920338 7923250 + SOCS2 chr12 93569814 93583487 + miRNA targets: NA circRNA targets: NA lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand AL096870.2 chr14 24209646 24215987 - 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