Rodyti trumpą aprašą

dc.contributor.authorStrainienė, Eglė
dc.contributor.authorBinkis, Mindaugas
dc.contributor.authorUrnikytė, Silvija
dc.contributor.authorStankevičius, Vaidotas
dc.contributor.authorSasnauskienė, Aušra
dc.contributor.authorKundrotas, Gabrielis
dc.contributor.authorKazlauskas, Andrius
dc.contributor.authorSužiedėlis, Kęstutis
dc.date.accessioned2023-09-18T17:06:38Z
dc.date.available2023-09-18T17:06:38Z
dc.date.issued2018
dc.identifier.issn1471-2407
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/119728
dc.description.abstractBackground: Since the first evidence suggesting existence of stem-like cancer cells, the process of cells reprogramming to the stem cell state remains as an attractive tool for cancer stemness research. Current knowledge in the field of cancer stemness, indicates that the microenvironment is a fundamental regulator of cell behavior. With regard to this, we investigated the changes of genome wide gene expression in reprogrammed human colon normal epithelial CRL-1831 and colon carcinoma DLD1 cell lines grown under more physiologically relevant three-dimensional (3D) cell culture microenvironment compared to 2D monolayer. Methods: Whole genome gene expression changes were evaluated in both cell lines cultured under 3D conditions over a 2D monolayer by gene expression microarray analysis. To evaluate the biological significance of gene expression changes, we performed pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Gene network analysis was used to study relationships between differentially expressed genes (DEGs) in functional categories by the GeneMANIA Cytoscape toolkit. Results: In total, we identified 3228 and 2654 differentially expressed genes (DEGs) for colon normal and cancer reprogrammed cell lines, respectively. Furthermore, the expression of 1097 genes was commonly regulated in both cell lines. KEGG enrichment analysis revealed that in total 129 and 101 pathways for iPSC-CRL-1831 and for CSC-DLD1, respectively, were enriched. Next, we grouped these pathways into three functional categories: cancer transformation/metastasis, cell interaction, and stemness. β-catenin (CTNNB1) was confirmed as a hub gene of all three functional categories.Conclusions: Our present findings suggest common pathways between reprogrammed human colon normal epithelium (iPSC-CRL-1831) and adenocarcinoma (CSC-DLD1) cells grown under 3D microenvironment. In addition, we demonstrated that pathways important for cancer transformation and tumor metastatic activity are altered both in normal and cancer stem-like cells during the transfer from 2D to 3D culture conditions. Thus, we indicate the potential of cell culture models enriched in normal and cancer stem-like cells for the identification of new therapeutic targets in cancer treatment.eng
dc.formatPDF
dc.format.extentp. 1-11
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmbase
dc.relation.isreferencedbyPubMed
dc.relation.isreferencedbyCABI Global Health
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyMEDLINE
dc.relation.isreferencedbyCurrent Contents / Clinical Medicine
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.1186/s12885-018-4145-8
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:26434672/datastreams/MAIN/content
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:26434672/datastreams/ATTACHMENT_26435695/content
dc.subjectFM01 - Biokatalitinių procesų modeliavimas / Modelling of biocatalytic processes
dc.titleMicroenvironment dependent gene expression signatures in reprogrammed human colon normal and cancer cell lines
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis work was supported by the grants No. MIP-028/2014 and Postdoctoral Fellowship Implementation in Lithuania (VP1-3.1-SMM-01-V-02-004/23) from the Research Council of Lithuania. Funding body had no role in the design of this study or collection, analysis, interpretation of data and in writing the manuscript. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. PubMed ID: 29482503
dcterms.references37
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionNacionalinis vėžio institutas Vilniaus Gedimino technikos universitetas
dc.contributor.institutionNacionalinis vėžio institutas Vilniaus universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.institutionNacionalinis vėžio institutas
dc.contributor.institutionSchepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 005 - Chemijos inžinerija / Chemical engineering
dc.subject.researchfieldN 010 - Biologija / Biology
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dc.subject.eniPSC
dc.subject.enStem-like cancer cells
dc.subject.en3D cell culture
dc.subject.enGenome wide analysis
dc.subject.enKEGG analysis
dc.subject.enGene network analysis
dcterms.sourcetitleBMC Cancer
dc.description.volumeVol. 18
dc.publisher.nameBioMed Central
dc.publisher.cityLondon
dc.identifier.doi000426308600002
dc.identifier.doi2-s2.0-85042542155
dc.identifier.doi10.1186/s12885-018-4145-8
dc.identifier.elaba26434672


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