論文 - 詳細
| RRC ID | 58053 |
|---|---|
| 著者 | Lee DS, Luo C, Zhou J, Chandran S, Rivkin A, Bartlett A, Nery JR, Fitzpatrick C, O'Connor C, Dixon JR, Ecker JR. |
| タイトル | Simultaneous profiling of 3D genome structure and DNA methylation in single human cells. |
| ジャーナル | Nat Methods |
| Abstract |
Dynamic three-dimensional chromatin conformation is a critical mechanism for gene regulation during development and disease. Despite this, profiling of three-dimensional genome structure from complex tissues with cell-type specific resolution remains challenging. Recent efforts have demonstrated that cell-type specific epigenomic features can be resolved in complex tissues using single-cell assays. However, it remains unclear whether single-cell chromatin conformation capture (3C) or Hi-C profiles can effectively identify cell types and reconstruct cell-type specific chromatin conformation maps. To address these challenges, we have developed single-nucleus methyl-3C sequencing to capture chromatin organization and DNA methylation information and robustly separate heterogeneous cell types. Applying this method to >4,200 single human brain prefrontal cortex cells, we reconstruct cell-type specific chromatin conformation maps from 14 cortical cell types. These datasets reveal the genome-wide association between cell-type specific chromatin conformation and differential DNA methylation, suggesting pervasive interactions between epigenetic processes regulating gene expression. |
| 巻・号 | 16(10) |
| ページ | 999-1006 |
| 公開日 | 2019-10-1 |
| DOI | 10.1038/s41592-019-0547-z |
| PII | 10.1038/s41592-019-0547-z |
| PMID | 31501549 |
| PMC | PMC6765423 |
| MeSH | Algorithms Chromatin / metabolism DNA Methylation* Datasets as Topic Epigenesis, Genetic Gene Expression Regulation Genome, Human* Genome-Wide Association Study Humans Single-Cell Analysis* |
| IF | 30.822 |
| 引用数 | 7 |
| オルトメトリクス指標 |
オルトメトリクス指標項目
|
| 最多言及媒体 | X(Twitter) |
| 各媒体での言及数の合計 | 277 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.0 |
| リソース情報 | |
| ヒト・動物細胞 | NMuMG/Fucci2(RCB2868) |