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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Frontiers Media S.A.
2021-12-01
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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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