exRNAdisease

Entry Detail

---



General Information

Database ID: exR0201236 RNA Name: hsa-let-7f-5p RNA Type: miRNA Chromosome: chrX Starnd: - Coordinate: Start Site(bp): 53557246 End Site(bp): 53557267 External Links: hsa-let-7f-5p

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 ACP1 chr2 264140 278283 + ARHGAP28 chr18 6729718 6915716 + BLOC1S6 chr15 45587214 45615945 + CTPS2 chrX 16587999 16712936 - EEA1 chr12 92770637 92929331 - GRPEL2 chr5 149345430 149354583 + HDLBP chr2 241227264 241317061 - HMGA2 chr12 65824131 65966295 + IGF2BP1 chr17 48997385 49056145 + NHLRC3 chr13 39038306 39050109 + PDPR chr16 70113626 70162537 + PHC3 chr3 170086732 170181749 - RANBP2 chr2 108719482 108785809 + RNH1 chr11 494512 507300 - TBC1D13 chr9 128787253 128810430 + TRIM65 chr17 75880335 75896951 - UBE2G2 chr21 44768580 44801826 - ACTG1 chr17 81509971 81523847 - C18orf21 chr18 35972625 35979286 + FAM162A chr3 122384176 122412334 + GSTO1 chr10 104235356 104267459 + HLA-DQA2 chr6 32741391 32747198 + LONP1 chr19 5691834 5720572 - PFKFB4 chr3 48517684 48562015 - miRNA targets: NA circRNA targets: circRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand hsa_circ_0000247 chr10 74474868 74475660 + hsa_circ_0000987 chr2 30748452 30756180 + hsa_circ_0000246 chr10 74468040 74475660 + hsa_circ_0000018 chr1 15860731 15863309 + hsa_circ_0000038 chr1 28800065 28802803 + hsa_circ_0000799 chr17 65941524 65972074 + hsa_circ_0001164 chr20 45891031 45923523 - lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand AC006064.5 chr12 6510275 6510522 + AC074117.1 chr2 27356246 27367622 + AC109460.3 chr16 28974804 28990775 + AC124045.1 chr3 44667412 44669364 + AP000766.1 chr11 107312132 107316271 - ARHGAP27P1-BPTFP1-KPNA2P3 chr17 64749663 64781707 - KCNQ1OT1 chr11 2608328 2699994 - LINC00265 chr7 39733430 39793092 + LINC02381 chr12 54126082 54147485 + MIRLET7BHG chr22 46053869 46113928 + NEAT1 chr11 65422774 65445540 + NUTM2A-AS1 chr10 87201647 87342612 - SNHG16 chr17 76557764 76565348 + SNHG4 chr5 139274102 139284899 + TMPO-AS1 chr12 98512973 98516422 - XIST chrX 73820649 73852723 - ZNF436-AS1 chr1 23368997 23371839 + 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