exRNAdisease

Entry Detail

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General Information

Database ID: exR0198127 RNA Name: hsa-miR-664b-5p RNA Type: miRNA Chromosome: chrX Starnd: + Coordinate: Start Site(bp): 154768596 End Site(bp): 154768619 External Links: hsa-miR-664b-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: Gene Symbol Chromosome Start Site(bp) End Site(bp) Strand AFAP1 chr4 7758714 7939926 - OGFOD1 chr16 56451521 56479104 + BSG chr19 571277 583493 + C1orf159 chr1 1081818 1116361 - DKC1 chrX 154762742 154777689 + LIN28A chr1 26410817 26429728 + POLR3A chr10 77969251 78029515 - TFDP2 chr3 141944428 142149544 - TMCC1 chr3 129647792 129893606 - WDR74 chr11 62832342 62841809 - miRNA targets: NA circRNA targets: NA lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand NEAT1 chr11 65422774 65445540 + 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