Transcriptomics

Dataset Information

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


ABSTRACT: We have developed Halo-seq, an RNA proximity labeling method that allows the quantification of subcellular transcriptomes. We have demonstrated the efficacy of Halo-seq here by using it to quantify chromatin-proximal, nucleolar, and cytoplasmic transcriptomes. In Halo-seq, RNA molecules in close proximity to a spatially restricted protein are specifically marked and biotinylated, facilitating their separation from bulk cellular RNA and their quantification.

ORGANISM(S): Homo sapiens

PROVIDER: GSE172281 | GEO | 2021/04/19

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets