exRNAdisease

Entry Detail

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General Information

Database ID: exR0197408 RNA Name: hsa-miR-4700-5p RNA Type: miRNA Chromosome: chr12 Starnd: + Coordinate: Start Site(bp): 120723202 End Site(bp): 120723223 External Links: hsa-miR-4700-5p

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 GAPDH chr12 6534512 6538374 + SEC61A1 chr3 128051641 128071683 + UNC119B chr12 120710458 120723640 + HADH chr4 107989714 108035175 + MFSD10 chr4 2930561 2934834 - ORMDL1 chr2 189770267 189784364 - PDIA6 chr2 10783391 10837977 - SAC3D1 chr11 65040901 65044828 + TPT1 chr13 45333471 45341370 - WDR1 chr4 10074339 10116949 - miRNA targets: NA circRNA targets: NA lncRNA targets: NA 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