Visualization and Analysis of Mirnas Implicated in Amyotrophic Lateral Sclerosis Within Gene Regulatory Pathways

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Date

2018

Journal Title

Journal ISSN

Volume Title

Publisher

IOS Press

Open Access Color

Green Open Access

Yes

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OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Average
Popularity
Top 10%

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Abstract

MicroRNAs (miRNAs), approximately 22 nucleotides long, post-transcriptionally active gene expression regulators, play active roles in modulating cellular processes. Gene regulation and miRNA regulation are intertwined and the main aim of this study is to facilitate the analysis of miRNAs within gene regulatory pathways. VANESA enables the reconstruction of biological pathways and supports visualization and simulation. To support integrative miRNA and gene pathway analyses, a custom database of experimentally proven miRNAs, integrating data from miRBase, TarBase and miRTarBase, was added to DAWIS-M.D., which is the main data source for VANESA. Analysis of human KEGG pathways within DAWIS-M.D. showed that 661 miRNAs (~1/3 recorded human miRNAs) lead to 65,474 interactions. hsa-miR-335-5p targets most genes in our system (2,544); while the most targeted gene (with 71 miRNAs) is NUFIP2 (Nuclear Fragile X Mental Retardation Protein Interacting Protein 2). Amyotrophic Lateral Sclerosis (ALS), a complex neurodegenerative disease, was chosen as a proof of concept model. Using our system, it was possible to reduce the initially several hundred genes and miRNAs associated with ALS to eight genes, 19 miRNAs and 31 interactions. This highlights the effectiveness of the implemented system to distill important information from otherwise hard to access, highly convoluted and vast regulatory networks.

Description

PubMed: 30147069

Keywords

Amyotrophic lateral sclerosis, gene expression regulation, KEGG, Metabolic networks, MicroRNAs, miRBase, miRTarBase, amyotrophic lateral sclerosis, miRTarBase, Gene Expression Profiling, Amyotrophic Lateral Sclerosis, Statistics as Topic, gene expression regulation, microRNAs, MicroRNAs, Gene Expression Regulation, KEGG, Databases, Genetic, miRBase, Humans, Gene Regulatory Networks, metabolic networks and pathways

Fields of Science

0301 basic medicine, 03 medical and health sciences

Citation

WoS Q

Scopus Q

Q4
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OpenCitations Citation Count
3

Source

Studies in Health Technology and Informatics

Volume

253

Issue

Start Page

183

End Page

187
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Scopus : 10

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Mendeley Readers : 37

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