bioRxiv · 10.1101/2022.10.03.510745
Remarkable improvement in detection of readthrough downstream-of-gene transcripts by semi-extractable RNA-sequencing
Abstract
The mammalian cell nucleus contains dozens of membrane-less nuclear bodies that play significant roles in various aspects of gene expression. Several nuclear bodies are nucleated by specific architectural noncoding RNAs (arcRNAs) acting as structural scaffolds. We have reported that a minor population of cellular RNAs exhibits an unusual semi-extractable feature upon using the conventional procedure of RNA preparation and that needle shearing or heating of cell lysates remarkably improves extraction of dozens of RNAs. Because semi-extractable RNAs, including known arcRNAs, commonly localize in nuclear bodies, this feature may be a hallmark of arcRNAs. Using the semi-extractability of RNA, we performed genome-wide screening of semi-extractable long non-coding RNAs to identify new candidate arcRNAs for arcRNA under hyperosmotic and heat stress conditions. After screening stress-inducible and semi-extractable RNAs, hundreds of readthrough downstream-of-gene (DoG) transcripts over several hundreds of kilobases, many of which were not detected among RNAs prepared by the conventional extraction procedure, were found to be stress-inducible and semi-extractable. We further characterized some of the abundant DoGs and found that stress-inducible transient extension of the 3-UTR made DoGs semi-extractable. Furthermore, they were localized in distinct nuclear foci that were sensitive to 1,6-hexanediol. These data suggest that semi-extractable DoGs exhibit arcRNA-like features and our semi-extractable RNA-seq is a powerful tool to extensively monitor DoGs that are induced under specific physiological conditions.
Source connections
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Iwakiri, J., Tanaka, K., Chujo, T., Yamazaki, T., Terai, G., Asai, K., Hirose, T.. 2022-10-04. Remarkable improvement in detection of readthrough downstream-of-gene transcripts by semi-extractable RNA-sequencing. https://doi.org/10.1101/2022.10.03.510745
Cite the original work for its findings. Save a collection to share your selection of sources.