Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach
Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Immunology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.921408/full |
| _version_ | 1818113175450550272 |
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| author | Jingwen Deng Jingwen Deng Carlotta Schieler José A. M. Borghans Chuanjian Lu Aridaman Pandit |
| author_facet | Jingwen Deng Jingwen Deng Carlotta Schieler José A. M. Borghans Chuanjian Lu Aridaman Pandit |
| author_sort | Jingwen Deng |
| collection | DOAJ |
| description | Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation. |
| first_indexed | 2024-12-11T03:30:39Z |
| format | Article |
| id | doaj.art-b1e2b6b740f041a7b0d479ecff4499c3 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-12-11T03:30:39Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-b1e2b6b740f041a7b0d479ecff4499c32022-12-22T01:22:24ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-07-011310.3389/fimmu.2022.921408921408Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning ApproachJingwen Deng0Jingwen Deng1Carlotta Schieler2José A. M. Borghans3Chuanjian Lu4Aridaman Pandit5Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsThe Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsThe Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaCenter for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, NetherlandsPsoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation.https://www.frontiersin.org/articles/10.3389/fimmu.2022.921408/fullpsoriasisgene regulatory networkmachine learningtranscriptomeregulators |
| spellingShingle | Jingwen Deng Jingwen Deng Carlotta Schieler José A. M. Borghans Chuanjian Lu Aridaman Pandit Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach Frontiers in Immunology psoriasis gene regulatory network machine learning transcriptome regulators |
| title | Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach |
| title_full | Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach |
| title_fullStr | Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach |
| title_full_unstemmed | Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach |
| title_short | Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach |
| title_sort | finding gene regulatory networks in psoriasis application of a tree based machine learning approach |
| topic | psoriasis gene regulatory network machine learning transcriptome regulators |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.921408/full |
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