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Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy

BACKGROUND: Rotator cuff tendinopathy (RCT) is a common musculoskeletal disorder in the shoulder, whose underlying mechanism is unknown. Long non-coding RNAs (lncRNAs) are involved in the development of various diseases, but little is known about their potential roles in RCT. METHODS: In this study,...

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Autores principales: Ge, Zilu, Tang, Hong, Lyu, Jingtong, Zhou, Binghua, Yang, Mingyu, Tang, Kanglai, Chen, Wan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186612/
https://www.ncbi.nlm.nih.gov/pubmed/32355779
http://dx.doi.org/10.21037/atm.2020.02.149
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author Ge, Zilu
Tang, Hong
Lyu, Jingtong
Zhou, Binghua
Yang, Mingyu
Tang, Kanglai
Chen, Wan
author_facet Ge, Zilu
Tang, Hong
Lyu, Jingtong
Zhou, Binghua
Yang, Mingyu
Tang, Kanglai
Chen, Wan
author_sort Ge, Zilu
collection PubMed
description BACKGROUND: Rotator cuff tendinopathy (RCT) is a common musculoskeletal disorder in the shoulder, whose underlying mechanism is unknown. Long non-coding RNAs (lncRNAs) are involved in the development of various diseases, but little is known about their potential roles in RCT. METHODS: In this study, we profiled lncRNAs and mRNAs involved in RCT in comparison with the normal tendon (NT) by RNA sequencing (RNA-Seq), to identify potential therapeutic targets. Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG) pathway, competing endogenous RNA (ceRNA), and co-expression network construction were used to identify the potential functions of these RNAs. Three lncRNAs and three mRNAs were validated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). RESULTS: In total, 419 lncRNAs and 1,541 mRNAs were differentially expressed between the RCT and NT groups with a fold change of >2 and P of <0.01. The GO and KEGG pathway analyses showed that the differentially expressed mRNAs were mainly enriched in complement activation and involved in the citrate cycle. The ceRNA network showed the interaction of differentially expressed RNAs, comprising 139 lncRNAs, 126 mRNAs, and 35 miRNAs. NONHSAT209114.1, ENST00000577806, NONHSAT168464.1, PLK2, TMEM214, and IGF2 were validated by PCR. We constructed a co-expressed network of these validated RNAs. CONCLUSIONS: We preliminarily analyzed the profile of lncRNAs and mRNAs in RCT. The bioinformatic analysis revealed several potential therapeutic targets for RCT.
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spelling pubmed-71866122020-04-30 Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy Ge, Zilu Tang, Hong Lyu, Jingtong Zhou, Binghua Yang, Mingyu Tang, Kanglai Chen, Wan Ann Transl Med Original Article BACKGROUND: Rotator cuff tendinopathy (RCT) is a common musculoskeletal disorder in the shoulder, whose underlying mechanism is unknown. Long non-coding RNAs (lncRNAs) are involved in the development of various diseases, but little is known about their potential roles in RCT. METHODS: In this study, we profiled lncRNAs and mRNAs involved in RCT in comparison with the normal tendon (NT) by RNA sequencing (RNA-Seq), to identify potential therapeutic targets. Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG) pathway, competing endogenous RNA (ceRNA), and co-expression network construction were used to identify the potential functions of these RNAs. Three lncRNAs and three mRNAs were validated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). RESULTS: In total, 419 lncRNAs and 1,541 mRNAs were differentially expressed between the RCT and NT groups with a fold change of >2 and P of <0.01. The GO and KEGG pathway analyses showed that the differentially expressed mRNAs were mainly enriched in complement activation and involved in the citrate cycle. The ceRNA network showed the interaction of differentially expressed RNAs, comprising 139 lncRNAs, 126 mRNAs, and 35 miRNAs. NONHSAT209114.1, ENST00000577806, NONHSAT168464.1, PLK2, TMEM214, and IGF2 were validated by PCR. We constructed a co-expressed network of these validated RNAs. CONCLUSIONS: We preliminarily analyzed the profile of lncRNAs and mRNAs in RCT. The bioinformatic analysis revealed several potential therapeutic targets for RCT. AME Publishing Company 2020-03 /pmc/articles/PMC7186612/ /pubmed/32355779 http://dx.doi.org/10.21037/atm.2020.02.149 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Ge, Zilu
Tang, Hong
Lyu, Jingtong
Zhou, Binghua
Yang, Mingyu
Tang, Kanglai
Chen, Wan
Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy
title Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy
title_full Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy
title_fullStr Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy
title_full_unstemmed Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy
title_short Conjoint analysis of lncRNA and mRNA expression in rotator cuff tendinopathy
title_sort conjoint analysis of lncrna and mrna expression in rotator cuff tendinopathy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186612/
https://www.ncbi.nlm.nih.gov/pubmed/32355779
http://dx.doi.org/10.21037/atm.2020.02.149
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