Transcriptomic insight into the translational value of two murine models in human atopic dermatitis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Young-Won | - |
dc.contributor.author | Ko, Eun-A | - |
dc.contributor.author | Jung, Sung-Cherl | - |
dc.contributor.author | Lee, Donghee | - |
dc.contributor.author | Seo, Yelim | - |
dc.contributor.author | Kim, Seongtae | - |
dc.contributor.author | Kim, Jung-Ha | - |
dc.contributor.author | Bang, Hyoweon | - |
dc.contributor.author | Zhou, Tong | - |
dc.contributor.author | Ko, Jae-Hong | - |
dc.date.accessioned | 2021-11-24T02:40:19Z | - |
dc.date.available | 2021-11-24T02:40:19Z | - |
dc.date.issued | 2021-03 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51796 | - |
dc.description.abstract | This study sought to develop a novel diagnostic tool for atopic dermatitis (AD). Mouse transcriptome data were obtained via RNA-sequencing of dorsal skin tissues of CBA/J mice affected with contact hypersensitivity (induced by treatment with 1-chloro-2,4-dinitrobenzene) or brush stimulation-induced AD-like skin condition. Human transcriptome data were collected from German, Swedish, and American cohorts of AD patients from the Gene Expression Omnibus database. edgeR and SAM algorithms were used to analyze differentially expressed murine and human genes, respectively. The FAIME algorithm was then employed to assign pathway scores based on KEGG pathway database annotations. Numerous genes and pathways demonstrated similar dysregulation patterns in both the murine models and human AD. Upon integrating transcriptome information from both murine and human data, we identified 36 commonly dysregulated differentially expressed genes, which were designated as a 36-gene signature. A severity score (AD index) was applied to each human sample to assess the predictive power of the 36-gene AD signature. The diagnostic power and predictive accuracy of this signature were demonstrated for both AD severity and treatment outcomes in patients with AD. This genetic signature is expected to improve both AD diagnosis and targeted preclinical research. © 2021, The Author(s). | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Nature Research | - |
dc.title | Transcriptomic insight into the translational value of two murine models in human atopic dermatitis | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/s41598-021-86049-w | - |
dc.identifier.bibliographicCitation | Scientific Reports, v.11, no.1 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000634964500030 | - |
dc.identifier.scopusid | 2-s2.0-85103202278 | - |
dc.citation.number | 1 | - |
dc.citation.title | Scientific Reports | - |
dc.citation.volume | 11 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordPlus | KERATIN 15 EXPRESSION | - |
dc.subject.keywordPlus | GENE-EXPRESSION | - |
dc.subject.keywordPlus | DOWN-REGULATION | - |
dc.subject.keywordPlus | CONTACT HYPERSENSITIVITY | - |
dc.subject.keywordPlus | PSORIASIS | - |
dc.subject.keywordPlus | EPIDERMIS | - |
dc.subject.keywordPlus | RECEPTOR | - |
dc.subject.keywordPlus | MICE | - |
dc.subject.keywordPlus | ITCH | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.