Analysis of subcellular transcriptomes by RNA proximity labeling with Halo-seq.

ABSTRACT: Thousands of RNA species display nonuniform distribution within cells. However, quantification of the spatial patterns adopted by individual RNAs remains difficult, in part by a lack of quantitative tools for subcellular transcriptome analysis. In this study, we describe an RNA proximity labeling method that facilitates the quantification of subcellular RNA populations with high spatial specificity. This method, termed Halo-seq, pairs a light-activatable, radical generating small molecule with highly efficient Click chemistry to efficiently label and purify spatially defined RNA samples. We compared Halo-seq with previously reported similar methods and found that Halo-seq displayed a higher efficiency of RNA labeling, indicating that it is well suited to the investigation of small, precise

SUBMITTER: Engel KL 

PROVIDER: S-EPMC8887463 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature