Integrative analysis of axolotl gene expression data from regenerative and wound healing limb tissues

dc.authorid0000-0002-6183-9489
dc.authorid0000-0003-0352-1947
dc.contributor.authorSibai, Mustafa
dc.contributor.authorParlayan, Cüneyd
dc.contributor.authorTuğlu, Pelin
dc.contributor.authorÖztürk, Gürkan
dc.contributor.authorDemircan, Turan
dc.date.accessioned2020-02-27T06:04:33Z
dc.date.available2020-02-27T06:04:33Z
dc.date.issued2019
dc.departmentİstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, Biyomedikal Mühendisliği ve Biyoenformatik Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Rejeneratif ve Restoratif Tıp Araştırmaları Merkezi (REMER)
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Biyomedikal Mühendisliği Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Uluslararası Tıp Fakültesi, Temel Tıp Bilimleri Bölümü, Fizyoloji Ana Bilim Dalı
dc.description.abstractAxolotl (Ambystoma mexicanum) is a urodele amphibian endowed with remarkable regenerative capacities manifested in scarless wound healing and restoration of amputated limbs, which makes it a powerful experimental model for regenerative biology and medicine. Previous studies have utilized microarrays and RNA-Seq technologies for detecting differentially expressed (DE) genes in different phases of the axolotl limb regeneration. However, sufficient consistency may be lacking due to statistical limitations arising from intra-laboratory analyses. This study aims to bridge such gaps by performing an integrative analysis of publicly available microarray and RNA-Seq data from axolotl limb samples having comparable study designs using the "merging" method. A total of 351 genes were found DE in regenerative samples compared to the control in data of both technologies, showing an adjusted p-value < 0.01 and log fold change magnitudes >1. Downstream analyses illustrated consistent correlations of the directionality of DE genes within and between data of both technologies, as well as concordance with the literature on regeneration related biological processes. qRT-PCR analysis validated the observed expression level differences of five of the top DE genes. Future studies may benefit from the utilized concept and approach for enhanced statistical power and robust discovery of biomarkers of regeneration.
dc.identifier.citationSibai, M., Parlayan, C., Tuğlu, P., Öztürk, G. ve Demircan, T. (2019). Integrative analysis of axolotl gene expression data from regenerative and wound healing limb tissues. Scientific Reports, 9. http://doi.org/10.1038/s41598-019-56829-6
dc.identifier.doi10.1038/s41598-019-56829-6
dc.identifier.issn2045-2322
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://doi.org/10.1038/s41598-019-56829-6
dc.identifier.urihttps://hdl.handle.net/20.500.12511/4961
dc.identifier.volume9
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherNature Research
dc.relation.ispartofScientific Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectAxolotl
dc.subjectRegenerative
dc.subjectIntegrative Analysis
dc.subjectExpression
dc.titleIntegrative analysis of axolotl gene expression data from regenerative and wound healing limb tissues
dc.typeArticle

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