five

ccTaggedRP

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE225385
下载链接
链接失效反馈
官方服务:
资源简介:
Asynchronously cycling cells challenge the accurate characterization of phase-specific gene expression. Current strategies to characterize complex cell populations, including RNAseq, survey the steady state gene expression across the cell cycle and are inherently limited by the inability to resolve dynamic gene regulatory networks specific to subsets within the cell population. Single cell RNAseq (scRNAseq) provides an unbiased method to characterize the subpopulations and should identify different cell cycle transcriptomes if there are sufficient numbers of cycling cells present. Unfortunately, some cells are not amenable to scRNAseq. Therefore, we merged two powerful strategies, the incorporation of CDT1 and GMNN degrons used in FUCCI cell cycle sensors and the epitope-tagging of ribosomal proteins used in RiboTrap/Tag technologies, to create a cell-cycle dependent, tagged ribosomes, named ccTaggedRP. ccTaggedRPs are differentially expressed during the cell cycle, have similar subcellular locations as endogenous ribosomal proteins, and facilitate the recovery of cell cycle phase-specific RNA for sequencing. ccTaggedRP has broad applications to investigate phase-specific gene expression in complex cell populations. Examine cell cycle phase-specifiic RNA expression profiles via RNA-seqeuncing of mRNAs associated with ribosomomal proteins immunoprecipitated by either their HA epitope tag or Flag epitope tag
创建时间:
2024-01-29
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