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Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients
Osteoporosis (OP) is a multifactorial disease influenced by genetic, epigenetic, and environmental factors. One of the main causes of the bone homeostasis alteration is inflammation resulting in excessive bone resorption. Long non-coding RNAs (lncRNAs), have a crucial role in regulating many importa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148473/ https://www.ncbi.nlm.nih.gov/pubmed/32204466 http://dx.doi.org/10.3390/biomedicines8030065 |
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author | Centofanti, Federica Santoro, Massimo Marini, Mario Visconti, Virginia Veronica Rinaldi, Anna Maria Celi, Monica D’Arcangelo, Giovanna Novelli, Giuseppe Orlandi, Augusto Tancredi, Virginia Tarantino, Umberto Botta, Annalisa |
author_facet | Centofanti, Federica Santoro, Massimo Marini, Mario Visconti, Virginia Veronica Rinaldi, Anna Maria Celi, Monica D’Arcangelo, Giovanna Novelli, Giuseppe Orlandi, Augusto Tancredi, Virginia Tarantino, Umberto Botta, Annalisa |
author_sort | Centofanti, Federica |
collection | PubMed |
description | Osteoporosis (OP) is a multifactorial disease influenced by genetic, epigenetic, and environmental factors. One of the main causes of the bone homeostasis alteration is inflammation resulting in excessive bone resorption. Long non-coding RNAs (lncRNAs), have a crucial role in regulating many important biological processes in bone, including inflammation. We designed our study to identify lncRNAs misregulated in osteoblast primary cultures derived from OP patients (n = 4), and controls (CTRs, n = 4) with the aim of predicting possible RNA and/or protein targets implicated in this multifactorial disease. We focused on 84 lncRNAs regulating the expression of pro-inflammatory and anti-inflammatory genes and miRNAs. In silico analysis was utilized to predict the interaction of lncRNAs with miRNAs, mRNAs, and proteins targets. Six lncRNAs were significantly down-regulated in OP patients compared to controls: CEP83-AS1, RP11-84C13.1, CTC-487M23.5, GAS5, NCBP2-AS2, and SDCBP2-AS1. Bioinformatic analyses identified HDCA2, PTX3, and FGF2 proteins as downstream targets of CTC-487M23.5, GAS5, and RP11-84C13.1 lncRNAs mediated by the interaction with miRNAs implicated in OP pathogenesis, including miR-21-5p. Altogether, these data open a new regulatory mechanism of gene expression in bone homeostasis and could direct the development of future therapeutic approaches. |
format | Online Article Text |
id | pubmed-7148473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71484732020-04-21 Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients Centofanti, Federica Santoro, Massimo Marini, Mario Visconti, Virginia Veronica Rinaldi, Anna Maria Celi, Monica D’Arcangelo, Giovanna Novelli, Giuseppe Orlandi, Augusto Tancredi, Virginia Tarantino, Umberto Botta, Annalisa Biomedicines Article Osteoporosis (OP) is a multifactorial disease influenced by genetic, epigenetic, and environmental factors. One of the main causes of the bone homeostasis alteration is inflammation resulting in excessive bone resorption. Long non-coding RNAs (lncRNAs), have a crucial role in regulating many important biological processes in bone, including inflammation. We designed our study to identify lncRNAs misregulated in osteoblast primary cultures derived from OP patients (n = 4), and controls (CTRs, n = 4) with the aim of predicting possible RNA and/or protein targets implicated in this multifactorial disease. We focused on 84 lncRNAs regulating the expression of pro-inflammatory and anti-inflammatory genes and miRNAs. In silico analysis was utilized to predict the interaction of lncRNAs with miRNAs, mRNAs, and proteins targets. Six lncRNAs were significantly down-regulated in OP patients compared to controls: CEP83-AS1, RP11-84C13.1, CTC-487M23.5, GAS5, NCBP2-AS2, and SDCBP2-AS1. Bioinformatic analyses identified HDCA2, PTX3, and FGF2 proteins as downstream targets of CTC-487M23.5, GAS5, and RP11-84C13.1 lncRNAs mediated by the interaction with miRNAs implicated in OP pathogenesis, including miR-21-5p. Altogether, these data open a new regulatory mechanism of gene expression in bone homeostasis and could direct the development of future therapeutic approaches. MDPI 2020-03-19 /pmc/articles/PMC7148473/ /pubmed/32204466 http://dx.doi.org/10.3390/biomedicines8030065 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Centofanti, Federica Santoro, Massimo Marini, Mario Visconti, Virginia Veronica Rinaldi, Anna Maria Celi, Monica D’Arcangelo, Giovanna Novelli, Giuseppe Orlandi, Augusto Tancredi, Virginia Tarantino, Umberto Botta, Annalisa Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients |
title | Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients |
title_full | Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients |
title_fullStr | Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients |
title_full_unstemmed | Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients |
title_short | Identification of Aberrantly-Expressed Long Non-Coding RNAs in Osteoblastic Cells from Osteoporotic Patients |
title_sort | identification of aberrantly-expressed long non-coding rnas in osteoblastic cells from osteoporotic patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148473/ https://www.ncbi.nlm.nih.gov/pubmed/32204466 http://dx.doi.org/10.3390/biomedicines8030065 |
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