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-...
Autores principales: | , , , |
---|---|
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 |