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Identification of a hippocampal lncRNA-regulating network in a natural aging rat model
BACKGROUND: Dysregulation of long noncoding RNA (lncRNA) expression is related to aging and age-associated neurodegenerative diseases, and the lncRNA expression profile in the aging hippocampus is not well characterized. In the present investigation, the changed mRNAs and lncRNAs were confirmed via...
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/PMC9520886/ https://www.ncbi.nlm.nih.gov/pubmed/36171542 http://dx.doi.org/10.1186/s12868-022-00743-7 |
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author | Qi, Li Li, Xiao Liu, Shi-min Jiao, Dan-li Hu, Dan Ju, Xin-yao Zhao, Shu-yu Si, Shu-han Hu, Li Li, Guo-na Ma, Bing-zhe Zhou, Shuang Zhao, Chen |
author_facet | Qi, Li Li, Xiao Liu, Shi-min Jiao, Dan-li Hu, Dan Ju, Xin-yao Zhao, Shu-yu Si, Shu-han Hu, Li Li, Guo-na Ma, Bing-zhe Zhou, Shuang Zhao, Chen |
author_sort | Qi, Li |
collection | PubMed |
description | BACKGROUND: Dysregulation of long noncoding RNA (lncRNA) expression is related to aging and age-associated neurodegenerative diseases, and the lncRNA expression profile in the aging hippocampus is not well characterized. In the present investigation, the changed mRNAs and lncRNAs were confirmed via deep RNA sequencing. GO and KEGG pathway analyses were conducted to investigate the principal roles of the clearly dysregulated mRNAs and lncRNAs. Subsequently, through the prediction of miRNAs via which mRNAs and lncRNAs bind together, a competitive endogenous RNA network was constructed. RESULTS: A total of 447 lncRNAs and 182 mRNAs were upregulated, and 385 lncRNAs and 144 mRNAs were downregulated. Real-time reverse transcription-polymerase chain reaction validated the reliability of mRNA and lncRNA sequencing. KEGG pathway and GO analyses revealed that differentially expressed (DE) mRNAs were associated with cell adhesion molecules (CAMs), the p53 signaling pathway (SP), phagosomes, PPAR SP and ECM—receptor interactions. KEGG pathway and GO analyses showed that the target genes of the DE lncRNAs were related to cellular senescence, the p53 signaling pathway, leukocyte transendothelial migration and tyrosine metabolism. Coexpression analyses showed that 561 DE lncRNAs were associated with DE mRNAs. A total of 58 lncRNA–miRNA–mRNA target pairs were confirmed in this lncRNA‒miRNA‒mRNA network, comprising 10 mRNAs, 13 miRNAs and 38 lncRNAs. CONCLUSIONS: We found specific lncRNAs and mRNAs in the hippocampus of natural aging model rats, as well as abnormal regulatory ceRNA networks. Our outcomes help explain the pathogenesis of brain aging and provide direction for further research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12868-022-00743-7. |
format | Online Article Text |
id | pubmed-9520886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95208862022-09-30 Identification of a hippocampal lncRNA-regulating network in a natural aging rat model Qi, Li Li, Xiao Liu, Shi-min Jiao, Dan-li Hu, Dan Ju, Xin-yao Zhao, Shu-yu Si, Shu-han Hu, Li Li, Guo-na Ma, Bing-zhe Zhou, Shuang Zhao, Chen BMC Neurosci Research BACKGROUND: Dysregulation of long noncoding RNA (lncRNA) expression is related to aging and age-associated neurodegenerative diseases, and the lncRNA expression profile in the aging hippocampus is not well characterized. In the present investigation, the changed mRNAs and lncRNAs were confirmed via deep RNA sequencing. GO and KEGG pathway analyses were conducted to investigate the principal roles of the clearly dysregulated mRNAs and lncRNAs. Subsequently, through the prediction of miRNAs via which mRNAs and lncRNAs bind together, a competitive endogenous RNA network was constructed. RESULTS: A total of 447 lncRNAs and 182 mRNAs were upregulated, and 385 lncRNAs and 144 mRNAs were downregulated. Real-time reverse transcription-polymerase chain reaction validated the reliability of mRNA and lncRNA sequencing. KEGG pathway and GO analyses revealed that differentially expressed (DE) mRNAs were associated with cell adhesion molecules (CAMs), the p53 signaling pathway (SP), phagosomes, PPAR SP and ECM—receptor interactions. KEGG pathway and GO analyses showed that the target genes of the DE lncRNAs were related to cellular senescence, the p53 signaling pathway, leukocyte transendothelial migration and tyrosine metabolism. Coexpression analyses showed that 561 DE lncRNAs were associated with DE mRNAs. A total of 58 lncRNA–miRNA–mRNA target pairs were confirmed in this lncRNA‒miRNA‒mRNA network, comprising 10 mRNAs, 13 miRNAs and 38 lncRNAs. CONCLUSIONS: We found specific lncRNAs and mRNAs in the hippocampus of natural aging model rats, as well as abnormal regulatory ceRNA networks. Our outcomes help explain the pathogenesis of brain aging and provide direction for further research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12868-022-00743-7. BioMed Central 2022-09-28 /pmc/articles/PMC9520886/ /pubmed/36171542 http://dx.doi.org/10.1186/s12868-022-00743-7 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 Qi, Li Li, Xiao Liu, Shi-min Jiao, Dan-li Hu, Dan Ju, Xin-yao Zhao, Shu-yu Si, Shu-han Hu, Li Li, Guo-na Ma, Bing-zhe Zhou, Shuang Zhao, Chen Identification of a hippocampal lncRNA-regulating network in a natural aging rat model |
title | Identification of a hippocampal lncRNA-regulating network in a natural aging rat model |
title_full | Identification of a hippocampal lncRNA-regulating network in a natural aging rat model |
title_fullStr | Identification of a hippocampal lncRNA-regulating network in a natural aging rat model |
title_full_unstemmed | Identification of a hippocampal lncRNA-regulating network in a natural aging rat model |
title_short | Identification of a hippocampal lncRNA-regulating network in a natural aging rat model |
title_sort | identification of a hippocampal lncrna-regulating network in a natural aging rat model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520886/ https://www.ncbi.nlm.nih.gov/pubmed/36171542 http://dx.doi.org/10.1186/s12868-022-00743-7 |
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