dc.contributor.author | Strainienė, Eglė | |
dc.contributor.author | Binkis, Mindaugas | |
dc.contributor.author | Urnikytė, Silvija | |
dc.contributor.author | Stankevičius, Vaidotas | |
dc.contributor.author | Sasnauskienė, Aušra | |
dc.contributor.author | Kundrotas, Gabrielis | |
dc.contributor.author | Kazlauskas, Andrius | |
dc.contributor.author | Sužiedėlis, Kęstutis | |
dc.date.accessioned | 2023-09-18T17:06:38Z | |
dc.date.available | 2023-09-18T17:06:38Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1471-2407 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/119728 | |
dc.description.abstract | Background: 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.format | PDF | |
dc.format.extent | p. 1-11 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Embase | |
dc.relation.isreferencedby | PubMed | |
dc.relation.isreferencedby | CABI Global Health | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | MEDLINE | |
dc.relation.isreferencedby | Current Contents / Clinical Medicine | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://doi.org/10.1186/s12885-018-4145-8 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:26434672/datastreams/MAIN/content | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:26434672/datastreams/ATTACHMENT_26435695/content | |
dc.subject | FM01 - Biokatalitinių procesų modeliavimas / Modelling of biocatalytic processes | |
dc.title | Microenvironment dependent gene expression signatures in reprogrammed human colon normal and cancer cell lines | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This 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.references | 37 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Nacionalinis vėžio institutas Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Nacionalinis vėžio institutas Vilniaus universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.institution | Nacionalinis vėžio institutas | |
dc.contributor.institution | Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 005 - Chemijos inžinerija / Chemical engineering | |
dc.subject.researchfield | N 010 - Biologija / Biology | |
dc.subject.ltspecializations | L105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies | |
dc.subject.en | iPSC | |
dc.subject.en | Stem-like cancer cells | |
dc.subject.en | 3D cell culture | |
dc.subject.en | Genome wide analysis | |
dc.subject.en | KEGG analysis | |
dc.subject.en | Gene network analysis | |
dcterms.sourcetitle | BMC Cancer | |
dc.description.volume | Vol. 18 | |
dc.publisher.name | BioMed Central | |
dc.publisher.city | London | |
dc.identifier.doi | 000426308600002 | |
dc.identifier.doi | 2-s2.0-85042542155 | |
dc.identifier.doi | 10.1186/s12885-018-4145-8 | |
dc.identifier.elaba | 26434672 | |