exRNAdisease

Entry Detail

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General Information

Database ID: exR0201639 RNA Name: hsa-miR-22-3p RNA Type: miRNA Chromosome: chr17 Starnd: - Coordinate: Start Site(bp): 1713914 End Site(bp): 1713935 External Links: hsa-miR-22-3p

Disease Information

Disease Name: Mild Cognitive Impairment Disease Category: Other Diseases MeSH ID: D060825 Type: Psychiatry and Psychology Category/Mental Disorders Alias: Cognitive Dysfunction//Cognitive Dysfunctions//Dysfunction, Cognitive//Dysfunctions, Cognitive//Cognitive Impairments//Cognitive Impairment//Impairment, Cognitive//Impairments, Cognitive//Mild Cognitive Impairment//Cognitive Impairment, Mild//Cognitive Impairments, Mild//Impairment, Mild Cognitive//Impairments, Mild Cognitive//Mild Cognitive Impairments//Mild Neurocognitive Disorder//Disorder, Mild Neurocognitive//Disorders, Mild Neurocognitive//Mild Neurocognitive Disorders//Neurocognitive Disorder, Mild//Neurocognitive Disorders, Mild//Cognitive Decline//Cognitive Declines//Decline, Cognitive//Declines, Cognitive//Mental Deterioration//Deterioration, Mental//Deteriorations, Mental//Mental Deteriorations

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: Mild Cognitive Impairment 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 CCDC97 chr19 41310172 41324873 + AP1S1 chr7 101154456 101161596 + RCOR1 chr14 102592649 102730561 + RAB11FIP4 chr17 31391675 31538211 + PPIF chr10 79347469 79355334 + FBXL19 chr16 30923055 30948783 + FNBP4 chr11 47716494 47767443 - DCP1A chr3 53283429 53347586 - GDAP1 chr8 74321130 74488872 + WSB2 chr12 118032694 118062430 - ITGA5 chr12 54395261 54419266 - IRS2 chr13 109752695 109786583 - FOXP1 chr3 70952817 71583993 - TMEM179B chr11 62787402 62790400 + ETS1 chr11 128458761 128587558 - ATP2C1 chr3 130850595 131016712 + ZNF740 chr12 53180704 53195142 + CACUL1 chr10 118674167 118755249 - ATP6V0B chr1 43974487 43978295 + ACLY chr17 41866917 41930542 - CLASP1 chr2 121337776 121649587 - PRLR chr5 35048756 35230487 - PDPR chr16 70113626 70162537 + WWC2 chr4 183099257 183320777 + TAGLN chr11 117199370 117207464 + BCL9 chr1 147541501 147626216 + GLIS2 chr16 4314761 4339597 + GBF1 chr10 102245532 102382899 + PDSS1 chr10 26697701 26746798 + RANBP2 chr2 108719482 108785809 + miRNA targets: NA circRNA targets: circRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand hsa_circ_0001699 chr7 40027197 40041630 + hsa_circ_0001414 chr4 56277780 56284152 + hsa_circ_0000733 chr17 1561546 1562030 - lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand AC021078.1 chr5 149494314 149504670 - AL360012.1 chr1 28648600 28648730 + MALAT1 chr11 65497688 65506516 + NEAT1 chr11 65422774 65445540 + NORAD chr20 36045618 36051018 - OIP5-AS1 chr15 41283990 41309737 + SNHG16 chr17 76557764 76565348 + 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