The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation
Atrial fibrillation (AF) is one of the most prevalent heart rhythm disorder. The causes of AF include age, male sex, diabetes, hypertension, valve disease, and systolic/diastolic dysfunction. But on molecular level, its mechanisms are largely unknown. In this study, we collected 10 patients with per...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-03-01
|
| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fbioe.2020.00187/full |
| _version_ | 1818597632472252416 |
|---|---|
| author | Ban Liu Xin Shi Keke Ding Mengwei Lv Mengwei Lv Yongjun Qian Shijie Zhu Changfa Guo Yangyang Zhang |
| author_facet | Ban Liu Xin Shi Keke Ding Mengwei Lv Mengwei Lv Yongjun Qian Shijie Zhu Changfa Guo Yangyang Zhang |
| author_sort | Ban Liu |
| collection | DOAJ |
| description | Atrial fibrillation (AF) is one of the most prevalent heart rhythm disorder. The causes of AF include age, male sex, diabetes, hypertension, valve disease, and systolic/diastolic dysfunction. But on molecular level, its mechanisms are largely unknown. In this study, we collected 10 patients with persistent atrial fibrillation, 10 patients with paroxymal atrial fibrillation and 10 healthy individuals and did Methylation EPICBead Chip and RNA sequencing. By analyzing the methylation and gene expression data using machine learning based feature selection method Boruta, we identified the key genes that were strongly associated with AF and found their interconnections. The results suggested that the methylation of KIF15 may regulate the expression of PSMC3, TINAG, and NUDT6. The identified AF associated methylation-expression regulations may help understand the molecular mechanisms of AF from a multi-omics perspective. |
| first_indexed | 2024-12-16T11:50:53Z |
| format | Article |
| id | doaj.art-5b115ef0c15e4bda953ab2425b96120c |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-16T11:50:53Z |
| publishDate | 2020-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-5b115ef0c15e4bda953ab2425b96120c2022-12-21T22:32:43ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852020-03-01810.3389/fbioe.2020.00187521695The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial FibrillationBan Liu0Xin Shi1Keke Ding2Mengwei Lv3Mengwei Lv4Yongjun Qian5Shijie Zhu6Changfa Guo7Yangyang Zhang8Department of Cardiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Pediatric Cardiovascular, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, ChinaShanghai East Hospital of Clinical Medical College, Nanjing Medical University, Shanghai, ChinaDepartment of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, ChinaDepartment of Cardiovascular Surgery, National Clinical Research Center for Geriatric, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, ChinaAtrial fibrillation (AF) is one of the most prevalent heart rhythm disorder. The causes of AF include age, male sex, diabetes, hypertension, valve disease, and systolic/diastolic dysfunction. But on molecular level, its mechanisms are largely unknown. In this study, we collected 10 patients with persistent atrial fibrillation, 10 patients with paroxymal atrial fibrillation and 10 healthy individuals and did Methylation EPICBead Chip and RNA sequencing. By analyzing the methylation and gene expression data using machine learning based feature selection method Boruta, we identified the key genes that were strongly associated with AF and found their interconnections. The results suggested that the methylation of KIF15 may regulate the expression of PSMC3, TINAG, and NUDT6. The identified AF associated methylation-expression regulations may help understand the molecular mechanisms of AF from a multi-omics perspective.https://www.frontiersin.org/article/10.3389/fbioe.2020.00187/fullatrial fibrillationmethylationmulti-omicsfeature selectionclassification |
| spellingShingle | Ban Liu Xin Shi Keke Ding Mengwei Lv Mengwei Lv Yongjun Qian Shijie Zhu Changfa Guo Yangyang Zhang The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation Frontiers in Bioengineering and Biotechnology atrial fibrillation methylation multi-omics feature selection classification |
| title | The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation |
| title_full | The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation |
| title_fullStr | The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation |
| title_full_unstemmed | The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation |
| title_short | The Joint Analysis of Multi-Omics Data Revealed the Methylation-Expression Regulations in Atrial Fibrillation |
| title_sort | joint analysis of multi omics data revealed the methylation expression regulations in atrial fibrillation |
| topic | atrial fibrillation methylation multi-omics feature selection classification |
| url | https://www.frontiersin.org/article/10.3389/fbioe.2020.00187/full |
| work_keys_str_mv | AT banliu thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT xinshi thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT kekeding thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT mengweilv thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT mengweilv thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT yongjunqian thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT shijiezhu thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT changfaguo thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT yangyangzhang thejointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT banliu jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT xinshi jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT kekeding jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT mengweilv jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT mengweilv jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT yongjunqian jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT shijiezhu jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT changfaguo jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation AT yangyangzhang jointanalysisofmultiomicsdatarevealedthemethylationexpressionregulationsinatrialfibrillation |