Next Article in Journal
Effect of a Collagen-Based Compound on Morpho-Functional Properties of Cultured Human Tenocytes
Next Article in Special Issue
MicroRNAs as Diagnostic and Prognostic Biomarkers in Ischemic Stroke—A Comprehensive Review and Bioinformatic Analysis
Previous Article in Journal
Differential Expression of HOX Genes in Mesenchymal Stem Cells from Osteoarthritic Patients Is Independent of Their Promoter Methylation
Previous Article in Special Issue
Unleashing the Full Potential of Oncolytic Adenoviruses against Cancer by Applying RNA Interference: The Force Awakens
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessFeature PaperArticle
Cells 2018, 7(12), 245; https://doi.org/10.3390/cells7120245

Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles

1
Department of Physics, Chuo University, 1-13-27 Kasuga, Bunky-ku, Tokyo 112-8551, Japan
2
Institute of Statistics, National Chiao Tung University, Hsinchu 30010, Taiwan
*
Author to whom correspondence should be addressed.
Received: 30 October 2018 / Revised: 1 December 2018 / Accepted: 4 December 2018 / Published: 5 December 2018
(This article belongs to the Special Issue Regulatory microRNA)
Full-Text   |   PDF [216 KB, uploaded 5 December 2018]   |  

Abstract

Parkinson’s disease (PD) is a chronic, progressive neurodegenerative disease characterized by both motor and nonmotor features. The diagnose of PD is based on a review of patients’ signs and symptoms, and neurological and physical examinations. So far, no tests have been devised that can conclusively diagnose PD. In this study, we explore both microRNA and gene biomarkers for PD. Microarray gene expression profiles for PD patients and healthy control are analyzed using a principal component analysis (PCA)-based unsupervised feature extraction (FE). 244 genes are selected to be potential gene biomarkers for PD. In addition, we implement these genes into Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and find that the 15 microRNAs (miRNAs), hsa-miR-92a-3p, 16-5p, 615-3p, 877-3p, 100-5p, 320a, 877-5p, 23a-3p, 484, 23b-3p, 15a-5p, 324-3p, 19b-3p, 7b-5p and 505-3p, significantly target these 244 genes. These miRNAs are shown to be significantly related to PD. This reveals that both selected genes and miRNAs are potential biomarkers for PD. View Full-Text
Keywords: biomarker; gene; microRNA; parkinson’s disease biomarker; gene; microRNA; parkinson’s disease
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Taguchi, Y.-H.; Wang, H. Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles. Cells 2018, 7, 245.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Cells EISSN 2073-4409 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top