five

Chromatin-dependent motif syntax defines differentiation trajectories [ATAC-seq]

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP520754
下载链接
链接失效反馈
官方服务:
资源简介:
Transcription factors (TFs) recognizing DNA motifs within regulatory regions drive cell identity. Despite recent advances, their specificity remains incompletely understood. Here, we address this by contrasting two TFs, Neurogenin-2 (NGN2) and MyoD1, which recognize ubiquitous E-box motifs yet drive distinct cell fates toward neurons and muscles, respectively. Upon induction in mouse embryonic stem cells, we monitor binding across differentiation, employing an interpretable machine learning approach that integrates preexisting DNA accessibility. This reveals a chromatin-dependent motif syntax, delineating both common and factor-specific binding, validated by cellular and in vitro assays. Shared binding sites reside in open chromatin, locally influenced by nucleosomes. In contrast, factor-specific binding in closed chromatin involves NGN2 and MyoD1 acting as pioneer factors, influenced by motif variant frequencies, motif spacing, and interaction partners, which together account for subsequent lineage divergence. Transferring our methodology to other models demonstrates how a combination of opportunistic binding and context-specific chromatin-opening underpin TF specificity, driving differentiation trajectories. Overall design: ATAC-seq of mESCs upon NGN2, MyoD1 induction at 6 and 24 hours and GFP as induction control
创建时间:
2025-08-12
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