PolyA Sequencing of K562 Cells
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE145400
下载链接
链接失效反馈官方服务:
资源简介:
RNA chemical structure analysis using icSHAPE and icLASER reveals hexameric sequences that have structure differences inside and outside of cells. One such sequence that had higher in-cell reactivity was the sites of polyadenylation or PAS sequence within the 3’-UTRs. We aimed to understand this difference as we postulated it could be utilized to predict transcriptome-wide polyadenylation. To obtain direct positions with high polyadenylation sequence signal, we generated the first polyadenylation sequencing data (PAS-seq) for K562 cells. PAS-seq uses polyA tail priming to identify the sites of polyA tail selection directly. Inspection of PAS reads demonstrated clear buildup of read depth at the 3’-end of transcripts and we obtained sites of high PAS read depth and low PAS read depth. One sample
创建时间:
2021-12-02



