| 論文編號: |
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| 第一作者所在部門: |
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| 中文論文題目: |
IReNA: integrated regulatory network analysis of single-cell transcriptomes and chromatin accessibility profiles |
| 英文論文題目: |
IReNA: integrated regulatory network analysis of single-cell transcriptomes and chromatin accessibility profiles |
| 作者: |
Junyao Jiang,Pin Lyu,Jinlian Li,Sunan Huang,Jiawang Tao,Seth Blackshaw,Jiang Qian,and Jie Wang. |
| 論文出處: |
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| 刊物名稱: |
iScience |
| 年: |
2022 |
| 卷: |
25 |
| 期: |
11 |
| 頁: |
105359 |
| 聯係作者: |
Jie Wang |
| 收錄類別: |
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| 影響因子: |
6.107 |
| 摘要: |
Recently, single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) have been developed to separately measure transcriptomes and chromatin accessibility profiles at the single-cell resolution. However, few methods can reliably integrate these data to perform regulatory network analysis. Here, we developed integrated regulatory network analysis (IReNA) for network inference through the integrated analysis of scRNA-seq and scATAC-seq data, network modularization, transcription factor enrichment, and construction of simplified intermodular regulatory networks. Using public datasets, we showed that integrated network analysis of scRNA-seq data with scATAC-seq data is more precise to identify known regulators than scRNA-seq data analysis alone. Moreover, IReNA outperformed currently available methods in identifying known regulators. IReNA facilitates the systems-level understanding of biological regulatory mechanisms and is available at https://github.com/jiang-junyao/IReNA. |
| 英文摘要: |
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