exRNAdisease

Entry Detail

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General Information

Database ID: exR0196254 RNA Name: hsa-miR-1245b-5p RNA Type: miRNA Chromosome: chr2 Starnd: - Coordinate: Start Site(bp): 188978133 End Site(bp): 188978153 External Links: hsa-miR-1245b-5p

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: circRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand hsa_circ_0000118 chr1 117944807 117963271 + hsa_circ_0000120 chr1 117944807 118009049 + hsa_circ_0000119 chr1 117944807 117984947 + hsa_circ_0000116 chr1 117944807 117948267 + hsa_circ_0000117 chr1 117944807 117957453 + hsa_circ_0000931 chr19 38226804 38231095 - lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand AC016876.2 chr17 7581964 7584086 - KCNQ1OT1 chr11 2608328 2699994 - LINC02228 chr5 25087450 25190956 - MALAT1 chr11 65497688 65506516 + NORAD chr20 36045618 36051018 - RMRP chr9 35657751 35658018 - 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