Cargando…

Landscape of semi-extractable RNAs across five human cell lines

Phase-separated membraneless organelles often contain RNAs that exhibit unusual semi-extractability using the conventional RNA extraction method, and can be efficiently retrieved by needle shearing or heating during RNA extraction. Semi-extractable RNAs are promising resources for understanding RNA-...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Chao, Chujo, Takeshi, Hirose, Tetsuro, Hamada, Michiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450185/
https://www.ncbi.nlm.nih.gov/pubmed/37463833
http://dx.doi.org/10.1093/nar/gkad567
_version_ 1785095142425755648
author Zeng, Chao
Chujo, Takeshi
Hirose, Tetsuro
Hamada, Michiaki
author_facet Zeng, Chao
Chujo, Takeshi
Hirose, Tetsuro
Hamada, Michiaki
author_sort Zeng, Chao
collection PubMed
description Phase-separated membraneless organelles often contain RNAs that exhibit unusual semi-extractability using the conventional RNA extraction method, and can be efficiently retrieved by needle shearing or heating during RNA extraction. Semi-extractable RNAs are promising resources for understanding RNA-centric phase separation. However, limited assessments have been performed to systematically identify and characterize semi-extractable RNAs. In this study, 1074 semi-extractable RNAs, including ASAP1, DANT2, EXT1, FTX, IGF1R, LIMS1, NEAT1, PHF21A, PVT1, SCMH1, STRG.3024.1, TBL1X, TCF7L2, TVP23C-CDRT4, UBE2E2, ZCCHC7, ZFAND3 and ZSWIM6, which exhibited consistent semi-extractability were identified across five human cell lines. By integrating publicly available datasets, we found that semi-extractable RNAs tend to be distributed in the nuclear compartments but are dissociated from the chromatin. Long and repeat-containing semi-extractable RNAs act as hubs to provide global RNA–RNA interactions. Semi-extractable RNAs were divided into four groups based on their k-mer content. The NEAT1 group preferred to interact with paraspeckle proteins, such as FUS and NONO, implying that RNAs in this group are potential candidates of architectural RNAs that constitute nuclear bodies.
format Online
Article
Text
id pubmed-10450185
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-104501852023-08-26 Landscape of semi-extractable RNAs across five human cell lines Zeng, Chao Chujo, Takeshi Hirose, Tetsuro Hamada, Michiaki Nucleic Acids Res Data Resources and Analyses Phase-separated membraneless organelles often contain RNAs that exhibit unusual semi-extractability using the conventional RNA extraction method, and can be efficiently retrieved by needle shearing or heating during RNA extraction. Semi-extractable RNAs are promising resources for understanding RNA-centric phase separation. However, limited assessments have been performed to systematically identify and characterize semi-extractable RNAs. In this study, 1074 semi-extractable RNAs, including ASAP1, DANT2, EXT1, FTX, IGF1R, LIMS1, NEAT1, PHF21A, PVT1, SCMH1, STRG.3024.1, TBL1X, TCF7L2, TVP23C-CDRT4, UBE2E2, ZCCHC7, ZFAND3 and ZSWIM6, which exhibited consistent semi-extractability were identified across five human cell lines. By integrating publicly available datasets, we found that semi-extractable RNAs tend to be distributed in the nuclear compartments but are dissociated from the chromatin. Long and repeat-containing semi-extractable RNAs act as hubs to provide global RNA–RNA interactions. Semi-extractable RNAs were divided into four groups based on their k-mer content. The NEAT1 group preferred to interact with paraspeckle proteins, such as FUS and NONO, implying that RNAs in this group are potential candidates of architectural RNAs that constitute nuclear bodies. Oxford University Press 2023-07-19 /pmc/articles/PMC10450185/ /pubmed/37463833 http://dx.doi.org/10.1093/nar/gkad567 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Resources and Analyses
Zeng, Chao
Chujo, Takeshi
Hirose, Tetsuro
Hamada, Michiaki
Landscape of semi-extractable RNAs across five human cell lines
title Landscape of semi-extractable RNAs across five human cell lines
title_full Landscape of semi-extractable RNAs across five human cell lines
title_fullStr Landscape of semi-extractable RNAs across five human cell lines
title_full_unstemmed Landscape of semi-extractable RNAs across five human cell lines
title_short Landscape of semi-extractable RNAs across five human cell lines
title_sort landscape of semi-extractable rnas across five human cell lines
topic Data Resources and Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450185/
https://www.ncbi.nlm.nih.gov/pubmed/37463833
http://dx.doi.org/10.1093/nar/gkad567
work_keys_str_mv AT zengchao landscapeofsemiextractablernasacrossfivehumancelllines
AT chujotakeshi landscapeofsemiextractablernasacrossfivehumancelllines
AT hirosetetsuro landscapeofsemiextractablernasacrossfivehumancelllines
AT hamadamichiaki landscapeofsemiextractablernasacrossfivehumancelllines