five

Dynamics of alternative splicing during somatic cell reprogramming reveals functions for RNA-binding proteins CPSF3, hnRNP UL1 and TIA1

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE158633
下载链接
链接失效反馈
官方服务:
资源简介:
Background. Somatic cell reprogramming is the process that allows differentiated cells to revert to a pluripotent state. In contrast to the extensively studied rewiring of epigenetic and transcriptional programs required for reprogramming, the dynamics of post-transcriptional changes and their associated regulatory mechanisms remain poorly understood. Here we study the dynamics of alternative splicing changes occurring during efficient reprogramming of mouse B cells into induced pluripotent stem (iPS) cells and compare them to those occurring during reprogramming of mouse embryonic fibroblasts. Results. We observe a significant overlap between alternative splicing changes detected in the two reprogramming systems, which are generally uncoupled from changes in transcriptional levels. Correlation between gene expression of potential regulators and specific clusters of alternative splicing changes enable the identification and subsequent validation of CPSF3 and hnRNP UL1 as facilitators, and TIA1 as repressor of mouse embryonic fibroblasts reprogramming. We further find that these RNAbinding proteins control partially overlapping programs of splicing regulation, involving genes relevant for developmental and morphogenetic processes. Conclusions. Our results reveal common programs of splicing regulation during reprogramming of different cell types and identify three novel regulators of this process and their targets. RNA-seq of MEFs reprogramming upon shRNA-mediated knockdown of Cpsf3 or Hnrnpul1 (vs. scrambled shRNA control) or overexpression of Tia1 (vs. empty vector control). Sequencing was performed in duplicates at day 0 and day 12 post-OSKM induction.
创建时间:
2021-06-08
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