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

dc.contributor.author Hamzeiy, Hamid
dc.contributor.author Allmer, Jens
dc.contributor.author Suluyayla, Rabia
dc.contributor.author Brinkrolf, Christoph
dc.contributor.author Janowski, Sebastian Jan
dc.contributor.author Hofestadt, Ralf
dc.contributor.author Allmer, Jens
dc.date.accessioned 2020-07-18T03:35:20Z
dc.date.available 2020-07-18T03:35:20Z
dc.date.issued 2018
dc.description PubMed: 30147069 en_US
dc.description.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. en_US
dc.identifier.doi 10.3233/978-1-61499-896-9-183
dc.identifier.issn 0926-9630
dc.identifier.scopus 2-s2.0-85056274164
dc.identifier.uri https://hdl.handle.net/11147/7894
dc.identifier.uri https://doi.org/10.3233/978-1-61499-896-9-183
dc.language.iso en en_US
dc.publisher IOS Press en_US
dc.relation.ispartof Studies in Health Technology and Informatics en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Amyotrophic lateral sclerosis en_US
dc.subject gene expression regulation en_US
dc.subject KEGG en_US
dc.subject Metabolic networks en_US
dc.subject MicroRNAs en_US
dc.subject miRBase en_US
dc.subject miRTarBase en_US
dc.title Visualization and Analysis of Mirnas Implicated in Amyotrophic Lateral Sclerosis Within Gene Regulatory Pathways en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Suluyayla, Rabia
gdc.author.institutional Allmer, Jens
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Molecular Biology and Genetics en_US
gdc.description.endpage 187 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q4
gdc.description.startpage 183 en_US
gdc.description.volume 253 en_US
gdc.identifier.openalex W2966924062
gdc.identifier.pmid 30147069
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.diamondjournal false
gdc.oaire.impulse 9.0
gdc.oaire.influence 2.909119E-9
gdc.oaire.isgreen true
gdc.oaire.keywords amyotrophic lateral sclerosis
gdc.oaire.keywords miRTarBase
gdc.oaire.keywords Gene Expression Profiling
gdc.oaire.keywords Amyotrophic Lateral Sclerosis
gdc.oaire.keywords Statistics as Topic
gdc.oaire.keywords gene expression regulation
gdc.oaire.keywords microRNAs
gdc.oaire.keywords MicroRNAs
gdc.oaire.keywords Gene Expression Regulation
gdc.oaire.keywords KEGG
gdc.oaire.keywords Databases, Genetic
gdc.oaire.keywords miRBase
gdc.oaire.keywords Humans
gdc.oaire.keywords Gene Regulatory Networks
gdc.oaire.keywords metabolic networks and pathways
gdc.oaire.popularity 8.139357E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0301 basic medicine
gdc.oaire.sciencefields 03 medical and health sciences
gdc.openalex.collaboration International
gdc.openalex.fwci 11.11143691
gdc.openalex.normalizedpercentile 0.98
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 3
gdc.plumx.mendeley 37
gdc.plumx.scopuscites 10
gdc.scopus.citedcount 10
relation.isAuthorOfPublication.latestForDiscovery bf9f97a4-6d62-49cd-a7c8-1bc8463d14d2
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4013-8abe-a4dfe192da5e

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