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Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model
BACKGROUND: microRNAs (miRs) are small non-coding RNAs involved in the fine regulation of several cellular processes by inhibiting their target genes at post-transcriptional level. Osteosarcoma (OS) is a tumor thought to be related to a molecular blockade of the normal process of osteoblast differen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486310/ https://www.ncbi.nlm.nih.gov/pubmed/26123714 http://dx.doi.org/10.1186/s12920-015-0106-0 |
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author | Grilli, A. Sciandra, M. Terracciano, M. Picci, P. Scotlandi, K. |
author_facet | Grilli, A. Sciandra, M. Terracciano, M. Picci, P. Scotlandi, K. |
author_sort | Grilli, A. |
collection | PubMed |
description | BACKGROUND: microRNAs (miRs) are small non-coding RNAs involved in the fine regulation of several cellular processes by inhibiting their target genes at post-transcriptional level. Osteosarcoma (OS) is a tumor thought to be related to a molecular blockade of the normal process of osteoblast differentiation. The current paper explores temporal transcriptional modifications comparing an osteosarcoma cell line, Saos-2, and clones stably transfected with CD99, a molecule which was found to drive OS cells to terminally differentiate. METHODS: Parental cell line and CD99 transfectants were cultured up to 14 days in differentiating medium. In this setting, OS cells were profiled by gene and miRNA expression arrays. Integration of gene and miRNA profiling was performed by both sequence complementarity and expression correlation. Further enrichment and network analyses were carried out to focus on the modulated pathways and on the interactions between transcriptome and miRNome. To track the temporal transcriptional modification, a PCA analysis with differentiated human MSC was performed. RESULTS: We identified a strong (about 80 %) gene down-modulation where reversion towards the osteoblast-like phenotype matches significant enrichment in TGFbeta signaling players like AKT1 and SMADs. In parallel, we observed the modulation of several cancer-related microRNAs like miR-34a, miR-26b or miR-378. To decipher their impact on the modified transcriptional program in CD99 cells, we correlated gene and microRNA time-series data miR-34a, in particular, was found to regulate a distinct subnetwork of genes with respect to the rest of the other differentially expressed miRs and it appeared to be the main mediator of several TGFbeta signaling genes at initial and middle phases of differentiation. Integration studies further highlighted the involvement of TGFbeta pathway in the differentiation of OS cells towards osteoblasts and its regulation by microRNAs. CONCLUSIONS: These data underline that the expression of miR-34a and down-modulation of TGFbeta signaling emerge as pivotal events to drive CD99-mediated reversal of malignancy and activation of differentiation in OS cells. Our results describe crucial and specific interacting actors providing and supporting their relevance as potential targets for therapeutic differentiative strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0106-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4486310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44863102015-07-02 Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model Grilli, A. Sciandra, M. Terracciano, M. Picci, P. Scotlandi, K. BMC Med Genomics Research Article BACKGROUND: microRNAs (miRs) are small non-coding RNAs involved in the fine regulation of several cellular processes by inhibiting their target genes at post-transcriptional level. Osteosarcoma (OS) is a tumor thought to be related to a molecular blockade of the normal process of osteoblast differentiation. The current paper explores temporal transcriptional modifications comparing an osteosarcoma cell line, Saos-2, and clones stably transfected with CD99, a molecule which was found to drive OS cells to terminally differentiate. METHODS: Parental cell line and CD99 transfectants were cultured up to 14 days in differentiating medium. In this setting, OS cells were profiled by gene and miRNA expression arrays. Integration of gene and miRNA profiling was performed by both sequence complementarity and expression correlation. Further enrichment and network analyses were carried out to focus on the modulated pathways and on the interactions between transcriptome and miRNome. To track the temporal transcriptional modification, a PCA analysis with differentiated human MSC was performed. RESULTS: We identified a strong (about 80 %) gene down-modulation where reversion towards the osteoblast-like phenotype matches significant enrichment in TGFbeta signaling players like AKT1 and SMADs. In parallel, we observed the modulation of several cancer-related microRNAs like miR-34a, miR-26b or miR-378. To decipher their impact on the modified transcriptional program in CD99 cells, we correlated gene and microRNA time-series data miR-34a, in particular, was found to regulate a distinct subnetwork of genes with respect to the rest of the other differentially expressed miRs and it appeared to be the main mediator of several TGFbeta signaling genes at initial and middle phases of differentiation. Integration studies further highlighted the involvement of TGFbeta pathway in the differentiation of OS cells towards osteoblasts and its regulation by microRNAs. CONCLUSIONS: These data underline that the expression of miR-34a and down-modulation of TGFbeta signaling emerge as pivotal events to drive CD99-mediated reversal of malignancy and activation of differentiation in OS cells. Our results describe crucial and specific interacting actors providing and supporting their relevance as potential targets for therapeutic differentiative strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12920-015-0106-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-30 /pmc/articles/PMC4486310/ /pubmed/26123714 http://dx.doi.org/10.1186/s12920-015-0106-0 Text en © Grilli et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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. |
spellingShingle | Research Article Grilli, A. Sciandra, M. Terracciano, M. Picci, P. Scotlandi, K. Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model |
title | Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model |
title_full | Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model |
title_fullStr | Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model |
title_full_unstemmed | Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model |
title_short | Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model |
title_sort | integrated approaches to mirnas target definition: time-series analysis in an osteosarcoma differentiative model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4486310/ https://www.ncbi.nlm.nih.gov/pubmed/26123714 http://dx.doi.org/10.1186/s12920-015-0106-0 |
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