five

Identification of m6A residues at single nucleotide resolution using eCLIP and an accessible custom analysis pipeline

收藏
NIAID Data Ecosystem2026-03-14 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147440
下载链接
链接失效反馈
官方服务:
资源简介:
We have developed a modified eCLIP-based method (meCLIP) to identify m6A residues at single-nucleotide resolution. By coupling the improvements of eCLIP with an easy-to-use computational pipeline, we have successfully identified over 50,000 unique m6A residues in the two breast cancer cell lines that were analyzed (MCF-7 and MDA-MB-231) and over 8,000 unique residues in HEK-293 cells. We compared these residues to the sites called using the currently most utilized m6A identification method (miCLIP). m6A identification in 3 cell lines (MCF-7, MDA-MB-231, and HEK-293) using modified eCLIP-based library preparation and custom analysis pipeline

我们研发了一种基于增强交联免疫沉淀(enhanced Cross-Linking Immunoprecipitation, eCLIP)的改良方法(meCLIP),用于在单核苷酸分辨率下鉴定N6-甲基腺苷(m6A)残基。通过将eCLIP的技术改良与易用的计算分析流程相结合,我们在所分析的两种乳腺癌细胞系(MCF-7与MDA-MB-231)中成功鉴定出超过50000个独特的m6A残基,在HEK-293细胞中则鉴定出超过8000个独特的m6A残基。我们将这些鉴定得到的残基与当前应用最为广泛的m6A鉴定方法miCLIP所获得的位点进行了比对分析。本研究采用基于改良eCLIP的文库制备流程与定制化分析流程,在MCF-7、MDA-MB-231及HEK-293这3种细胞系中开展了m6A鉴定工作。
创建时间:
2023-01-04
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