five

Single-cell multi-omic profiling of chromatin conformation and DNA methylome

收藏
NIAID Data Ecosystem2026-04-25 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP174501
下载链接
链接失效反馈
官方服务:
资源简介:
Recent advances in the development of single cell epigenomic assays have facilitated the analysis of the gene regulatory landscapes in complex biological systems. Single-cell variations of methods such as DNA methylation-sequencing and ATAC-seq hold tremendous promise for delineating distinct cell types and identifying their critical cis-regulatory sequences. Emerging evidence in recent years has shown that in addition to cis-regulatory sequences, dynamic regulation of 3D chromatin conformation is a critical mechanism for the modulation of gene expressions during development and disease. While assays for the investigation of single-cell 3D chromatin structure have been developed, cell-type specific chromatin conformation in primary human tissues has not been extensively explored. It remains unclear whether single-cell Chromatin Conformation Capture (3C) or Hi-C profiles are suitable for cell type identification and allow the reconstruction of cell-type specific chromatin conformation maps. To address these challenges, we have developed a multi-omic method single-nucleus methyl-3C sequencing (sn-m3C) to profile chromatin conformation and DNA methylation from the same cell. We have shown that bulk m3C and sn-m3C accurately capture chromatin organization information and robustly separate mouse cell types. We have developed a fluorescent-activated nuclei sorting strategy based on DNA content that eliminates nuclei multiplets caused by crosslinking. The sn-m3C-seq method allows high-resolution cell-type classification using two orthogonal types of epigenomic information and the reconstruction of cell-type specific chromatin conformation maps. Overall design: chromatin conformation and DNA methylome
创建时间:
2019-09-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作