Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma

Asthma is a complex heterogeneous respiratory disorder. In recent years nubbly regions of the role of genetic variants and transcriptome including mRNAs, microRNAs, and long non-coding RNAs in the pathogenesis of asthma have been separately excavated and reported. However, how to systematically inte...

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Main Authors: Ming-Yu Ran, Zhang Yuan, Chui-Ting Fan, Zhou Ke, Xin-Xing Wang, Jia-Yuan Sun, Dong-Ju Su
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2021.744932/full
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author Ming-Yu Ran
Zhang Yuan
Chui-Ting Fan
Zhou Ke
Xin-Xing Wang
Jia-Yuan Sun
Dong-Ju Su
author_facet Ming-Yu Ran
Zhang Yuan
Chui-Ting Fan
Zhou Ke
Xin-Xing Wang
Jia-Yuan Sun
Dong-Ju Su
author_sort Ming-Yu Ran
collection DOAJ
description Asthma is a complex heterogeneous respiratory disorder. In recent years nubbly regions of the role of genetic variants and transcriptome including mRNAs, microRNAs, and long non-coding RNAs in the pathogenesis of asthma have been separately excavated and reported. However, how to systematically integrate and decode this scattered information remains unclear. Further exploration would improve understanding of the internal communication of asthma. To excavate new insights into the pathogenesis of asthma, we ascertained three asthma characteristics according to reviews, airway inflammation, airway hyperresponsiveness, and airway remodeling. We manually created a contemporary catalog of corresponding risk transcriptome, including mRNAs, miRNAs, and lncRNAs. MIMP is a multiplex-heterogeneous networks-based approach, measuring the relevance of disease characteristics to the pathway by examining the similarity between the determined vectors of risk transcriptome and pathways in the same low-dimensional vector space. It was developed to enable a more concentrated and in-depth exploration of potential pathways. We integrated experimentally validated competing endogenous RNA regulatory information and the SNPs with significant pathways into the ceRNA-mediated SNP switching pathway network (CSSPN) to analyze ceRNA regulation of pathways and the role of SNP in these dysfunctions. We discovered 11 crucial ceRNA regulations concerning asthma disease feature pathway and propose a potential mechanism of ceRNA regulatory SNP → gene → pathway → disease feature effecting asthma pathogenesis, especially for MALAT1 (rs765499057/rs764699354/rs189435941) → hsa-miR-155 → IL13 (rs201185816/rs1000978586/rs202101165) → Interleukin-4 and Interleukin-13 signaling → inflammation/airway remodeling and MALAT1 (rs765499057/rs764699354/rs189435941) → hsa-miR-155 → IL17RB (rs948046241) → Interleukin-17 signaling (airway remodeling)/Cytokine-cytokine receptor interaction (inflammation). This study showed a systematic and propagable workflow for capturing the potential SNP “switch” of asthma through text and database mining and provides further information on the pathogenesis of asthma.
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spelling doaj.art-7db5e13d42844bccb0f39d88e41de9992022-12-21T18:12:21ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2021-12-01910.3389/fcell.2021.744932744932Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of AsthmaMing-Yu Ran0Zhang Yuan1Chui-Ting Fan2Zhou Ke3Xin-Xing Wang4Jia-Yuan Sun5Dong-Ju Su6Department of College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaDepartment of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaShanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, ChinaDepartment of Respiratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaAsthma is a complex heterogeneous respiratory disorder. In recent years nubbly regions of the role of genetic variants and transcriptome including mRNAs, microRNAs, and long non-coding RNAs in the pathogenesis of asthma have been separately excavated and reported. However, how to systematically integrate and decode this scattered information remains unclear. Further exploration would improve understanding of the internal communication of asthma. To excavate new insights into the pathogenesis of asthma, we ascertained three asthma characteristics according to reviews, airway inflammation, airway hyperresponsiveness, and airway remodeling. We manually created a contemporary catalog of corresponding risk transcriptome, including mRNAs, miRNAs, and lncRNAs. MIMP is a multiplex-heterogeneous networks-based approach, measuring the relevance of disease characteristics to the pathway by examining the similarity between the determined vectors of risk transcriptome and pathways in the same low-dimensional vector space. It was developed to enable a more concentrated and in-depth exploration of potential pathways. We integrated experimentally validated competing endogenous RNA regulatory information and the SNPs with significant pathways into the ceRNA-mediated SNP switching pathway network (CSSPN) to analyze ceRNA regulation of pathways and the role of SNP in these dysfunctions. We discovered 11 crucial ceRNA regulations concerning asthma disease feature pathway and propose a potential mechanism of ceRNA regulatory SNP → gene → pathway → disease feature effecting asthma pathogenesis, especially for MALAT1 (rs765499057/rs764699354/rs189435941) → hsa-miR-155 → IL13 (rs201185816/rs1000978586/rs202101165) → Interleukin-4 and Interleukin-13 signaling → inflammation/airway remodeling and MALAT1 (rs765499057/rs764699354/rs189435941) → hsa-miR-155 → IL17RB (rs948046241) → Interleukin-17 signaling (airway remodeling)/Cytokine-cytokine receptor interaction (inflammation). This study showed a systematic and propagable workflow for capturing the potential SNP “switch” of asthma through text and database mining and provides further information on the pathogenesis of asthma.https://www.frontiersin.org/articles/10.3389/fcell.2021.744932/fullbioinformaticsasthmaceRNApathway enrichment analysismiRNAlncRNA
spellingShingle Ming-Yu Ran
Zhang Yuan
Chui-Ting Fan
Zhou Ke
Xin-Xing Wang
Jia-Yuan Sun
Dong-Ju Su
Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma
Frontiers in Cell and Developmental Biology
bioinformatics
asthma
ceRNA
pathway enrichment analysis
miRNA
lncRNA
title Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma
title_full Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma
title_fullStr Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma
title_full_unstemmed Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma
title_short Multiplex-Heterogeneous Network-Based Capturing Potential SNP “Switches” of Pathways Associating With Diverse Disease Characteristics of Asthma
title_sort multiplex heterogeneous network based capturing potential snp switches of pathways associating with diverse disease characteristics of asthma
topic bioinformatics
asthma
ceRNA
pathway enrichment analysis
miRNA
lncRNA
url https://www.frontiersin.org/articles/10.3389/fcell.2021.744932/full
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