five

Alteration of genome folding via engineered transposon insertion [CaptureC]

收藏
NIAID Data Ecosystem2026-04-25 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP221517
下载链接
链接失效反馈
官方服务:
资源简介:
Mammalian chromosomes are partitioned into contact domains that can be conserved as functional units in evolution. Disruptions of domains can result from perturbed CTCF, cohesin, or chromosomal rearrangements. However, to what extent domains can be created de novo has not been explored in depth. Here, using a gain-of-function approach leveraging genome editing and Hi-C, we examined whether, and how, a putative boundary element can function to organize de novo domains in the context of multiple ectopic insertion sites. We subsequently dissected the distinct roles of the CTCF binding site and the transcription start site within the insertion element in changing genome folding. Overall design: Using a transposon-based approach, we inserted a 2 kb DNA fragment, which resides within a tissue-invariant domain boundary, into the genomes of near-haploid HAP1 cells. Following transposition, we established clonal lines and prioritized Clones 21 (C21) and 25 (C25), which contained ten and six insertions, respectively, across a total of 11 chromosomes. We then performed in situ Hi-C on edited clones and unedited parental (WT) cells to characterize how the insertion of a boundary-associated DNA fragment shapes human genome architecture. Furthermore, we carried out a series of CRISPR-based editing experiments to dissect how the TSS and the CTCF binding site within the insertion element contributes to new domain formation. Additionally, we used CRISPR to delete the endogenous 2 kb element and characterized its function at its endogenous boundary. In addition to Hi-C, we performed Capture-C, ChIP-seq (CTCF, Rad21, and H3K27Ac), and RNA-seq to further characterize the structural changes resulting from each round of genome editing experiments.
创建时间:
2020-11-26
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