five

Genome-wide and Cell-type Selective Profiling of In Vivo Small Noncoding RNA:Target RNA Interactions by Chimeric RNA Sequencing

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE263988
下载链接
链接失效反馈
官方服务:
资源简介:
Small noncoding RNAs (sncRNAs) can regulate biological processes by impacting posttranscriptional gene expression through repressing the levels and translation of targeted transcripts. Despite clear biological importance of sncRNAs, developed approaches to unambiguously define sncRNA:target RNA interactions in a genome-wide manner remain challenging and have not been widely adopted. We present CIMERA-seq, a robust strategy that incorporates covalent ligation of sncRNAs to their target RNAs within the RNA-induced silencing complex (RISC) and direct detection of the in vivo interactions by sequencing the resulting chimeric RNAs. Modifications are incorporated that increase the capacity for processing low abundance samples and which permit cell-type selective profiling of sncRNA:target RNA interactions, as demonstrated in mouse brain cortex. CIMERA-seq represents a cohesive and optimized method for unambiguously characterizing the in vivo network of sncRNA:target RNA interactions in numerous biological contexts and even subcellular fractions. Genome wide and cell-type selective CIMERA-seq enhances researchers’ ability to study the role of sncRNAs in mediating post-transcriptional gene regulation in diverse model systems and tissue types. sex and age matched C57BL/6 mice forebrain; genome-wide and cell-type selective miRNA:target RNA seq from Ago-CLIP, IgG for negative control.
创建时间:
2024-10-08
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