exRNAdisease

Entry Detail

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General Information

Database ID: exR0201710 RNA Name: hsa-miR-302d-3p RNA Type: miRNA Chromosome: chr4 Starnd: - Coordinate: Start Site(bp): 112648006 End Site(bp): 112648028 External Links: hsa-miR-302d-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 POLR3G chr5 90471748 90514557 + RPL27 chr17 42998273 43002959 + MSL1 chr17 40121971 40136917 + MGLL chr3 127689062 128052190 - WASF3 chr13 26557683 26688948 + CCNE1 chr19 29811991 29824312 + PPIB chr15 64155812 64163205 - CDK6 chr7 92604921 92836594 - CLOCK chr4 55427903 55546909 - QRICH1 chr3 49029707 49094363 - FBXO5 chr6 152970519 152983579 - VPS35 chr16 46656132 46689518 - PXYLP1 chr3 141228726 141367753 + ATP6V1C1 chr8 103021063 103073051 + FYCO1 chr3 45917899 45995824 - TXNIP chr1 145992435 145996579 - KDM4B chr19 4969113 5153598 + PNPLA8 chr7 108470417 108569666 - AMPD2 chr1 109616104 109632053 + MMD chr17 55392622 55421924 - ZNF608 chr5 124636913 124748807 - PLAGL2 chr20 32192504 32207743 - EPHX1 chr1 225810092 225845563 + COPS5 chr8 67043079 67083783 - MRPS6 chr21 34073224 34143034 + RIT1 chr1 155897808 155911404 - HNRNPH2 chrX 101408222 101414133 + BCLAF1 chr6 136256627 136289851 - BTN3A1 chr6 26402237 26415208 + COL4A2 chr13 110305812 110513209 + miRNA targets: NA circRNA targets: circRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand hsa_circ_0000943 chr19 47421744 47440665 + lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand AC011503.2 chr19 23927788 23929287 + AL049840.4 chr14 103694516 103695050 - ARHGAP27P1-BPTFP1-KPNA2P3 chr17 64749663 64781707 - FGD5-AS1 chr3 14920347 14948424 - MIR17HG chr13 91347820 91354579 + NEAT1 chr11 65422774 65445540 + NORAD chr20 36045618 36051018 - SNHG16 chr17 76557764 76565348 + 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