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Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network
BACKGROUND: In periodontitis, noncoding RNAs may play a regulatory role in the immune microenvironment through competitive endogenous RNA. We aimed to profile noncoding RNA expression and construct immune-related ceRNA network in periodontitis. METHODS: Five inflamed periodontal tissue and five heal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429583/ https://www.ncbi.nlm.nih.gov/pubmed/36045361 http://dx.doi.org/10.1186/s12903-022-02401-0 |
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author | Zhao, Quanquan Wen, Jing Ouyang, Xiangying Liu, Jianru Liu, Wenyi Zhang, Shengnan Lv, Peiying Lou, Xinzhe |
author_facet | Zhao, Quanquan Wen, Jing Ouyang, Xiangying Liu, Jianru Liu, Wenyi Zhang, Shengnan Lv, Peiying Lou, Xinzhe |
author_sort | Zhao, Quanquan |
collection | PubMed |
description | BACKGROUND: In periodontitis, noncoding RNAs may play a regulatory role in the immune microenvironment through competitive endogenous RNA. We aimed to profile noncoding RNA expression and construct immune-related ceRNA network in periodontitis. METHODS: Five inflamed periodontal tissue and five healthy gingivae were collected for whole-transcriptome sequencing. Differential gene, functional enrichment, and protein–protein interaction network analysis were performed to explore the function of differentially expressed genes. CIBERSORTx was used to analyze level of immune cell infiltration in the periodontal tissue. An immune-related competitive endogenous RNA network was constructed and expression of key regulators in the network was validated. RESULTS: Compared with healthy gingiva, 200 mRNAs, 90 long noncoding RNAs, 65 microRNAs, and 518 circular RNAs were differentially expressed, and cell chemotaxis was significantly enhanced in inflamed periodontal tissue. Immune cell infiltration analysis showed that neutrophils, macrophages M1, T follicular helper cells, and naive B cells were significantly increased in periodontitis. Key regulators including JUN, FOS, THBS1, KLF2, WIF1, were identified and their expression was then validated. CONCLUSION: We constructed an immune-related competitive endogenous RNA network in periodontal tissue, which provided new insights into immune homeostasis in periodontitis and laid a foundation for further study of noncoding RNAs. Key regulators in this network may be promising targets for future periodontitis treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-022-02401-0. |
format | Online Article Text |
id | pubmed-9429583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94295832022-09-01 Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network Zhao, Quanquan Wen, Jing Ouyang, Xiangying Liu, Jianru Liu, Wenyi Zhang, Shengnan Lv, Peiying Lou, Xinzhe BMC Oral Health Research BACKGROUND: In periodontitis, noncoding RNAs may play a regulatory role in the immune microenvironment through competitive endogenous RNA. We aimed to profile noncoding RNA expression and construct immune-related ceRNA network in periodontitis. METHODS: Five inflamed periodontal tissue and five healthy gingivae were collected for whole-transcriptome sequencing. Differential gene, functional enrichment, and protein–protein interaction network analysis were performed to explore the function of differentially expressed genes. CIBERSORTx was used to analyze level of immune cell infiltration in the periodontal tissue. An immune-related competitive endogenous RNA network was constructed and expression of key regulators in the network was validated. RESULTS: Compared with healthy gingiva, 200 mRNAs, 90 long noncoding RNAs, 65 microRNAs, and 518 circular RNAs were differentially expressed, and cell chemotaxis was significantly enhanced in inflamed periodontal tissue. Immune cell infiltration analysis showed that neutrophils, macrophages M1, T follicular helper cells, and naive B cells were significantly increased in periodontitis. Key regulators including JUN, FOS, THBS1, KLF2, WIF1, were identified and their expression was then validated. CONCLUSION: We constructed an immune-related competitive endogenous RNA network in periodontal tissue, which provided new insights into immune homeostasis in periodontitis and laid a foundation for further study of noncoding RNAs. Key regulators in this network may be promising targets for future periodontitis treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-022-02401-0. BioMed Central 2022-08-31 /pmc/articles/PMC9429583/ /pubmed/36045361 http://dx.doi.org/10.1186/s12903-022-02401-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhao, Quanquan Wen, Jing Ouyang, Xiangying Liu, Jianru Liu, Wenyi Zhang, Shengnan Lv, Peiying Lou, Xinzhe Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network |
title | Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network |
title_full | Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network |
title_fullStr | Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network |
title_full_unstemmed | Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network |
title_short | Whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous RNA network |
title_sort | whole-transcriptome analysis of periodontal tissue and construction of immune-related competitive endogenous rna network |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429583/ https://www.ncbi.nlm.nih.gov/pubmed/36045361 http://dx.doi.org/10.1186/s12903-022-02401-0 |
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