Academic Journal

Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data

التفاصيل البيبلوغرافية
العنوان: Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data
المؤلفون: Zou, Zhaonan, Yoshimura, Yuka, Yamanishi, Yoshihiro, Oki, Shinya
المساهمون: 鄒, 兆南, 吉村, 侑花, 山西, 芳裕, 沖, 真弥, 90452713
بيانات النشر: Springer Nature
BMC
سنة النشر: 2023
المجموعة: Kyoto University Research Information Repository (KURENAI) / 京都大学学術情報リポジトリ
مصطلحات موضوعية: ChIP-Seq, ATAC-seq, Transcription factor, Differentially accessible genomic region, Epigenetic landscape, Action modes of environmental pollutants
الوصف: [Background] Despite well-documented effects on human health, the action modes of environmental pollutants are incompletely understood. Although transcriptome-based approaches are widely used to predict associations between chemicals and disorders, the molecular cues regulating pollutant-derived gene expression changes remain unclear. Therefore, we developed a data-mining approach, termed “DAR-ChIPEA, ” to identify transcription factors (TFs) playing pivotal roles in the action modes of pollutants. [Methods] Large-scale public ChIP-Seq data (human, n = 15, 155; mouse, n = 13, 156) were used to predict TFs that are enriched in the pollutant-induced differentially accessible genomic regions (DARs) obtained from epigenome analyses (ATAC-Seq). The resultant pollutant–TF matrices were then cross-referenced to a repository of TF–disorder associations to account for pollutant modes of action. We subsequently evaluated the performance of the proposed method using a chemical perturbation data set to compare the outputs of the DAR-ChIPEA and our previously developed differentially expressed gene (DEG)-ChIPEA methods using pollutant-induced DEGs as input. We then adopted the proposed method to predict disease-associated mechanisms triggered by pollutants. [Results] The proposed approach outperformed other methods using the area under the receiver operating characteristic curve score. The mean score of the proposed DAR-ChIPEA was significantly higher than that of our previously described DEG-ChIPEA (0.7287 vs. 0.7060; Q = 5.278 × 10⁻⁴²; two-tailed Wilcoxon rank-sum test). The proposed approach further predicted TF-driven modes of action upon pollutant exposure, indicating that (1) TFs regulating Th1/2 cell homeostasis are integral in the pathophysiology of tributyltin-induced allergic disorders; (2) fine particulates (PM2.5) inhibit the binding of C/EBPs, Rela, and Spi1 to the genome, thereby perturbing normal blood cell differentiation and leading to immune dysfunction; and (3) lead induces fatty liver by disrupting the ...
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1756-8935
Relation: http://hdl.handle.net/2433/286952; Epigenetics & Chromatin; 16; 34
الاتاحة: http://hdl.handle.net/2433/286952
Rights: © The Author(s) 2023. ; This 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. ; http://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.FBB954E
قاعدة البيانات: BASE
ResultId 1
Header edsbas
BASE
edsbas.FBB954E
961
3
Academic Journal
academicJournal
960.976379394531
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsbas&AN=edsbas.FBB954E&custid=s6537998&authtype=sso
FullText Array ( [Availability] => 0 )
Array ( [0] => Array ( [Url] => http://hdl.handle.net/2433/286952# [Name] => EDS - BASE [Category] => fullText [Text] => View record in BASE [MouseOverText] => View record in BASE ) [1] => Array ( [Url] => https://resolver.ebscohost.com/openurl?custid=s6537998&groupid=main&authtype=ip,guest&sid=EBSCO:edsbas&genre=article&issn=17568935&ISBN=&volume=&issue=&date=20230101&spage=&pages=&title=Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data&atitle=Elucidating%20disease-associated%20mechanisms%20triggered%20by%20pollutants%20via%20the%20epigenetic%20landscape%20using%20large-scale%20ChIP-Seq%20data&id=DOI: [Name] => Full Text Finder (s6537998api) [Category] => fullText [Text] => Full Text Finder [Icon] => https://imageserver.ebscohost.com/branding/images/FTF.gif [MouseOverText] => Full Text Finder ) )
Items Array ( [Name] => Title [Label] => Title [Group] => Ti [Data] => Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data )
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Zou%2C+Zhaonan%22">Zou, Zhaonan</searchLink><br /><searchLink fieldCode="AR" term="%22Yoshimura%2C+Yuka%22">Yoshimura, Yuka</searchLink><br /><searchLink fieldCode="AR" term="%22Yamanishi%2C+Yoshihiro%22">Yamanishi, Yoshihiro</searchLink><br /><searchLink fieldCode="AR" term="%22Oki%2C+Shinya%22">Oki, Shinya</searchLink> )
Array ( [Name] => Author [Label] => Contributors [Group] => Au [Data] => 鄒, 兆南<br />吉村, 侑花<br />山西, 芳裕<br />沖, 真弥<br />90452713 )
Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => Springer Nature<br />BMC )
Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2023 )
Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => Kyoto University Research Information Repository (KURENAI) / 京都大学学術情報リポジトリ )
Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22ChIP-Seq%22">ChIP-Seq</searchLink><br /><searchLink fieldCode="DE" term="%22ATAC-seq%22">ATAC-seq</searchLink><br /><searchLink fieldCode="DE" term="%22Transcription+factor%22">Transcription factor</searchLink><br /><searchLink fieldCode="DE" term="%22Differentially+accessible+genomic+region%22">Differentially accessible genomic region</searchLink><br /><searchLink fieldCode="DE" term="%22Epigenetic+landscape%22">Epigenetic landscape</searchLink><br /><searchLink fieldCode="DE" term="%22Action+modes+of+environmental+pollutants%22">Action modes of environmental pollutants</searchLink> )
Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => [Background] Despite well-documented effects on human health, the action modes of environmental pollutants are incompletely understood. Although transcriptome-based approaches are widely used to predict associations between chemicals and disorders, the molecular cues regulating pollutant-derived gene expression changes remain unclear. Therefore, we developed a data-mining approach, termed “DAR-ChIPEA, ” to identify transcription factors (TFs) playing pivotal roles in the action modes of pollutants. [Methods] Large-scale public ChIP-Seq data (human, n = 15, 155; mouse, n = 13, 156) were used to predict TFs that are enriched in the pollutant-induced differentially accessible genomic regions (DARs) obtained from epigenome analyses (ATAC-Seq). The resultant pollutant–TF matrices were then cross-referenced to a repository of TF–disorder associations to account for pollutant modes of action. We subsequently evaluated the performance of the proposed method using a chemical perturbation data set to compare the outputs of the DAR-ChIPEA and our previously developed differentially expressed gene (DEG)-ChIPEA methods using pollutant-induced DEGs as input. We then adopted the proposed method to predict disease-associated mechanisms triggered by pollutants. [Results] The proposed approach outperformed other methods using the area under the receiver operating characteristic curve score. The mean score of the proposed DAR-ChIPEA was significantly higher than that of our previously described DEG-ChIPEA (0.7287 vs. 0.7060; Q = 5.278 × 10⁻⁴²; two-tailed Wilcoxon rank-sum test). The proposed approach further predicted TF-driven modes of action upon pollutant exposure, indicating that (1) TFs regulating Th1/2 cell homeostasis are integral in the pathophysiology of tributyltin-induced allergic disorders; (2) fine particulates (PM2.5) inhibit the binding of C/EBPs, Rela, and Spi1 to the genome, thereby perturbing normal blood cell differentiation and leading to immune dysfunction; and (3) lead induces fatty liver by disrupting the ... )
Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article in journal/newspaper )
Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => English )
Array ( [Name] => ISSN [Label] => ISSN [Group] => ISSN [Data] => 1756-8935 )
Array ( [Name] => NoteTitleSource [Label] => Relation [Group] => SrcInfo [Data] => http://hdl.handle.net/2433/286952; Epigenetics & Chromatin; 16; 34 )
Array ( [Name] => URL [Label] => Availability [Group] => URL [Data] => http://hdl.handle.net/2433/286952 )
Array ( [Name] => Copyright [Label] => Rights [Group] => Cpyrght [Data] => © The Author(s) 2023. ; This 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. ; http://creativecommons.org/licenses/by/4.0/ )
Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsbas.FBB954E )
RecordInfo Array ( [BibEntity] => Array ( [Languages] => Array ( [0] => Array ( [Text] => English ) ) [Subjects] => Array ( [0] => Array ( [SubjectFull] => ChIP-Seq [Type] => general ) [1] => Array ( [SubjectFull] => ATAC-seq [Type] => general ) [2] => Array ( [SubjectFull] => Transcription factor [Type] => general ) [3] => Array ( [SubjectFull] => Differentially accessible genomic region [Type] => general ) [4] => Array ( [SubjectFull] => Epigenetic landscape [Type] => general ) [5] => Array ( [SubjectFull] => Action modes of environmental pollutants [Type] => general ) ) [Titles] => Array ( [0] => Array ( [TitleFull] => Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data [Type] => main ) ) ) [BibRelationships] => Array ( [HasContributorRelationships] => Array ( [0] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Zou, Zhaonan ) ) ) [1] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Yoshimura, Yuka ) ) ) [2] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Yamanishi, Yoshihiro ) ) ) [3] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Oki, Shinya ) ) ) [4] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => 鄒, 兆南 ) ) ) [5] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => 吉村, 侑花 ) ) ) [6] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => 山西, 芳裕 ) ) ) [7] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => 沖, 真弥 ) ) ) [8] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => 90452713 ) ) ) ) [IsPartOfRelationships] => Array ( [0] => Array ( [BibEntity] => Array ( [Dates] => Array ( [0] => Array ( [D] => 01 [M] => 01 [Type] => published [Y] => 2023 ) ) [Identifiers] => Array ( [0] => Array ( [Type] => issn-print [Value] => 17568935 ) [1] => Array ( [Type] => issn-locals [Value] => edsbas ) [2] => Array ( [Type] => issn-locals [Value] => edsbas.oa ) ) ) ) ) ) )
IllustrationInfo