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Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma

BACKGROUND: Asthma is a chronic disorder of both adults and children affecting more than 300 million people heath worldwide. Diagnose and treatment for asthma, particularly in childhood asthma have always remained a great challenge because of its complex pathogenesis and multiple triggers, such as a...

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Autores principales: Zheng, Peiyan, Huang, Chen, Leng, Dongliang, Sun, Baoqing, Zhang, Xiaohua Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501638/
https://www.ncbi.nlm.nih.gov/pubmed/32948203
http://dx.doi.org/10.1186/s12920-020-00785-y
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author Zheng, Peiyan
Huang, Chen
Leng, Dongliang
Sun, Baoqing
Zhang, Xiaohua Douglas
author_facet Zheng, Peiyan
Huang, Chen
Leng, Dongliang
Sun, Baoqing
Zhang, Xiaohua Douglas
author_sort Zheng, Peiyan
collection PubMed
description BACKGROUND: Asthma is a chronic disorder of both adults and children affecting more than 300 million people heath worldwide. Diagnose and treatment for asthma, particularly in childhood asthma have always remained a great challenge because of its complex pathogenesis and multiple triggers, such as allergen, viral infection, tobacco smoke, dust, etc. It is thereby great significant to deeply investigate the transcriptome changes in asthmatic children before and after desensitization treatment, in order that we could identify potential and key mRNAs and lncRNAs which might be considered as useful RNA molecules for observing and supervising desensitization therapy for asthma, which might guide the diagnose and therapy in childhood asthma. METHODS: In the present study, we performed a systematic transcriptome analysis based on the deep RNA sequencing of ten asthmatic children before and after desensitization treatment, including identification of lncRNAs using a stringent filtering pipeline, differential expression analysis and network analysis, etc. RESULTS: First, a large number of lncRNAs were identified and characterized. Then differential expression analysis revealed 39 mRNAs and 15 lncRNAs significantly differentially expressed which involved in two biological processes and pathways. A co-expressed network analysis figured out a desensitization-treatment-related module which contains 27 mRNAs and 21 lncRNAs using WGCNA R package. Module analysis disclosed 17 genes associated to asthma at distinct level. Subsequent network analysis based on PCC figured out several key lncRNAs probably interacted to those key asthma-related genes, i.e., LINC02145, GUSBP2. Our functional investigation indicated that their functions might involve in immune, inflammatory response and apoptosis process. CONCLUSIONS: Our study successfully discovered many key noncoding RNA molecules related to pathogenesis of asthma and relevant treatment, which may provide some clues for asthmatic diagnose and therapy in future.
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spelling pubmed-75016382020-09-22 Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma Zheng, Peiyan Huang, Chen Leng, Dongliang Sun, Baoqing Zhang, Xiaohua Douglas BMC Med Genomics Research Article BACKGROUND: Asthma is a chronic disorder of both adults and children affecting more than 300 million people heath worldwide. Diagnose and treatment for asthma, particularly in childhood asthma have always remained a great challenge because of its complex pathogenesis and multiple triggers, such as allergen, viral infection, tobacco smoke, dust, etc. It is thereby great significant to deeply investigate the transcriptome changes in asthmatic children before and after desensitization treatment, in order that we could identify potential and key mRNAs and lncRNAs which might be considered as useful RNA molecules for observing and supervising desensitization therapy for asthma, which might guide the diagnose and therapy in childhood asthma. METHODS: In the present study, we performed a systematic transcriptome analysis based on the deep RNA sequencing of ten asthmatic children before and after desensitization treatment, including identification of lncRNAs using a stringent filtering pipeline, differential expression analysis and network analysis, etc. RESULTS: First, a large number of lncRNAs were identified and characterized. Then differential expression analysis revealed 39 mRNAs and 15 lncRNAs significantly differentially expressed which involved in two biological processes and pathways. A co-expressed network analysis figured out a desensitization-treatment-related module which contains 27 mRNAs and 21 lncRNAs using WGCNA R package. Module analysis disclosed 17 genes associated to asthma at distinct level. Subsequent network analysis based on PCC figured out several key lncRNAs probably interacted to those key asthma-related genes, i.e., LINC02145, GUSBP2. Our functional investigation indicated that their functions might involve in immune, inflammatory response and apoptosis process. CONCLUSIONS: Our study successfully discovered many key noncoding RNA molecules related to pathogenesis of asthma and relevant treatment, which may provide some clues for asthmatic diagnose and therapy in future. BioMed Central 2020-09-18 /pmc/articles/PMC7501638/ /pubmed/32948203 http://dx.doi.org/10.1186/s12920-020-00785-y Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Zheng, Peiyan
Huang, Chen
Leng, Dongliang
Sun, Baoqing
Zhang, Xiaohua Douglas
Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma
title Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma
title_full Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma
title_fullStr Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma
title_full_unstemmed Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma
title_short Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma
title_sort transcriptome analysis of peripheral whole blood identifies crucial lncrnas implicated in childhood asthma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501638/
https://www.ncbi.nlm.nih.gov/pubmed/32948203
http://dx.doi.org/10.1186/s12920-020-00785-y
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