exRNAdisease

Entry Detail

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General Information

Database ID: exR0198119 RNA Name: hsa-miR-660-5p RNA Type: miRNA Chromosome: chrX Starnd: + Coordinate: Start Site(bp): 50013256 End Site(bp): 50013277 External Links: hsa-miR-660-5p

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 ARF3 chr12 48935723 48957487 - ATXN7L3 chr17 44191805 44200113 - CALM1 chr14 90396502 90408268 + MEF2D chr1 156463727 156500779 - RSRC2 chr12 122503454 122527000 - miRNA targets: NA circRNA targets: circRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand hsa_circ_0000384 chr12 27867712 27877119 + hsa_circ_0000241 chr10 70847874 70856944 + hsa_circ_0001247 chr22 46125304 46136418 + lncRNA targets: lncRNA Symbol Chromosome Start Site(bp) End Site(bp) Strand AP005263.1 chr18 9102736 9254346 + DHRS4-AS1 chr14 23938219 24052555 - LINC00641 chr14 21200079 21206900 - 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