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Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease

BACKGROUND: Extramammary Paget’s disease (EMPD) is a rare malignant intraepidermal adenocarcinoma that is poorly understood. Regulatory long noncoding RNAs (lncRNAs) are characterized in many species and shown to be involved in processes such as development and pathologies, revealing a new layer of...

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Autores principales: Zheng, Da-chao, Shen, Yan-ting, Wei, Zi-wei, Wan, Xiang, Xie, Min-kai, Yao, Hai-jun, Wang, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665522/
https://www.ncbi.nlm.nih.gov/pubmed/34895219
http://dx.doi.org/10.1186/s12920-021-01135-2
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author Zheng, Da-chao
Shen, Yan-ting
Wei, Zi-wei
Wan, Xiang
Xie, Min-kai
Yao, Hai-jun
Wang, Zhong
author_facet Zheng, Da-chao
Shen, Yan-ting
Wei, Zi-wei
Wan, Xiang
Xie, Min-kai
Yao, Hai-jun
Wang, Zhong
author_sort Zheng, Da-chao
collection PubMed
description BACKGROUND: Extramammary Paget’s disease (EMPD) is a rare malignant intraepidermal adenocarcinoma that is poorly understood. Regulatory long noncoding RNAs (lncRNAs) are characterized in many species and shown to be involved in processes such as development and pathologies, revealing a new layer of regulation in different diseases, especially in cancer studies. In the present study, we used high-throughput sequencing to reveal the lncRNA–mRNA interaction network in extramammary Paget’s disease. METHODS: High-throughput sequencing was used to identify differentially expressed lncRNA and mRNA profiles between EMPD patients and healthy controls. Then, a series of bioinformatics analyses were conducted to construct the lncRNA–mRNA interaction network, which was finally confirmed in vitro. RESULTS: Six pairs of EMPD tumor and normal skin samples were collected and sequenced to identify the differentially expressed lncRNA and mRNA profiles between EMPD and healthy controls. A total of 997 differentially expressed mRNAs and 785 differentially expressed lncRNAs were identified. The GO and KEGG analyses show that epidermal development and cell adhesion play important roles in EMPD. The results of the lncRNA–mRNA interaction network analysis suggested that NEAT1, PGAP1, FKBP5 and CDON were the pivotal nodes of the network and that lncRNA NEAT1 might regulate mRNA PGAP1, FKBP5 and CDON. The results of the quantitative real-time RT–PCR performed in ten other patients for NEAT1, PGAP1, FKBP5 and CDON were consistent with those of the sequencing analysis. Moreover, an in vitro experiment confirmed the interactions between NEAT1 and PGAP1, FKBP5 and CDON in human immortalized keratinocytes. CONCLUSION: These findings suggest that the lncRNA–mRNA interaction network based on four pivotal nodes, NEAT1, PGAP1 FKBP5 and CDON, may play an important role in EMPD, which will contribute to a deeper understanding of the pathogenesis of EMPD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01135-2.
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spelling pubmed-86655222021-12-13 Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease Zheng, Da-chao Shen, Yan-ting Wei, Zi-wei Wan, Xiang Xie, Min-kai Yao, Hai-jun Wang, Zhong BMC Med Genomics Research BACKGROUND: Extramammary Paget’s disease (EMPD) is a rare malignant intraepidermal adenocarcinoma that is poorly understood. Regulatory long noncoding RNAs (lncRNAs) are characterized in many species and shown to be involved in processes such as development and pathologies, revealing a new layer of regulation in different diseases, especially in cancer studies. In the present study, we used high-throughput sequencing to reveal the lncRNA–mRNA interaction network in extramammary Paget’s disease. METHODS: High-throughput sequencing was used to identify differentially expressed lncRNA and mRNA profiles between EMPD patients and healthy controls. Then, a series of bioinformatics analyses were conducted to construct the lncRNA–mRNA interaction network, which was finally confirmed in vitro. RESULTS: Six pairs of EMPD tumor and normal skin samples were collected and sequenced to identify the differentially expressed lncRNA and mRNA profiles between EMPD and healthy controls. A total of 997 differentially expressed mRNAs and 785 differentially expressed lncRNAs were identified. The GO and KEGG analyses show that epidermal development and cell adhesion play important roles in EMPD. The results of the lncRNA–mRNA interaction network analysis suggested that NEAT1, PGAP1, FKBP5 and CDON were the pivotal nodes of the network and that lncRNA NEAT1 might regulate mRNA PGAP1, FKBP5 and CDON. The results of the quantitative real-time RT–PCR performed in ten other patients for NEAT1, PGAP1, FKBP5 and CDON were consistent with those of the sequencing analysis. Moreover, an in vitro experiment confirmed the interactions between NEAT1 and PGAP1, FKBP5 and CDON in human immortalized keratinocytes. CONCLUSION: These findings suggest that the lncRNA–mRNA interaction network based on four pivotal nodes, NEAT1, PGAP1 FKBP5 and CDON, may play an important role in EMPD, which will contribute to a deeper understanding of the pathogenesis of EMPD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01135-2. BioMed Central 2021-12-11 /pmc/articles/PMC8665522/ /pubmed/34895219 http://dx.doi.org/10.1186/s12920-021-01135-2 Text en © The Author(s) 2021 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
Zheng, Da-chao
Shen, Yan-ting
Wei, Zi-wei
Wan, Xiang
Xie, Min-kai
Yao, Hai-jun
Wang, Zhong
Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease
title Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease
title_full Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease
title_fullStr Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease
title_full_unstemmed Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease
title_short Transcriptome sequencing reveals a lncRNA–mRNA interaction network in extramammary Paget’s disease
title_sort transcriptome sequencing reveals a lncrna–mrna interaction network in extramammary paget’s disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665522/
https://www.ncbi.nlm.nih.gov/pubmed/34895219
http://dx.doi.org/10.1186/s12920-021-01135-2
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