five

Expanded repertoire of RNA-editing-based detection for RNA binding protein interactions (2)

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE232514
下载链接
链接失效反馈
官方服务:
资源简介:
RNA binding proteins (RBPs) are key regulators of RNA processing and cellular function. Technologies to discover RNA targets of RBPs such as TRIBE (targets of RNA binding proteins identified by editing) and STAMP (surveying targets by APOBEC1 mediated profiling) utilize fusions of RNA base-editors (rBEs) to RBPs to circumvent the limitations of immunoprecipitation (CLIP)-based methods that require enzymatic digestion and large amounts of input material. To expand the collection of rBEs suitable for editing-based RBP-RNA interactome studies, we developed experimental and computational assays to systematically evaluate the editing activities of over thirty A-to-I and C-to-U rBEs in human cells. We identify rBEs that outperform Drosophila ADAR (TRIBE) and mammalian APOBEC1 (STAMP) in the characterization of the binding patterns of sequence-specific and broad-binding RBPs and recommend rBEs that pair effectively in dual-RBP-based applications. We demonstrate that the optimal choice of single or multiple rBEs to fuse to a given or pair of RBPs depends on the editing biases of the rBEs and the binding preferences of the RBPs. Our framework ENGRAVe (Editing nucleotides with general RNA-base-editor variants) reframes the use of and expands the choice of rBEs for the next generation of RBP-RNA target discoveries. The experiment is Poly(A) RNA sequencing of samples corresponding to MS2 coat-protein (MCP)-rBE fusions demonstrating favorable editing profiles on the MCP binding site-containing reporter mRNA. The approach simultaneously detects edits on the reporter mRNA (on-target) and endogenous transcripts (off-target). Editing on endogenous transcripts is considered "off-target" because those RNAs lack MS2 coat protein (MCP) binding sites.
创建时间:
2024-09-27
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