Cargando…
Mapping RNA–RNA interactome and RNA structure in vivo by MARIO
The pervasive transcription of our genome presents a possibility of revealing new genomic functions by investigating RNA interactions. Current methods for mapping RNA–RNA interactions have to rely on an ‘anchor' protein or RNA and often require molecular perturbations. Here we present the MARIO...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931010/ https://www.ncbi.nlm.nih.gov/pubmed/27338251 http://dx.doi.org/10.1038/ncomms12023 |
_version_ | 1782440819175718912 |
---|---|
author | Nguyen, Tri C. Cao, Xiaoyi Yu, Pengfei Xiao, Shu Lu, Jia Biase, Fernando H. Sridhar, Bharat Huang, Norman Zhang, Kang Zhong, Sheng |
author_facet | Nguyen, Tri C. Cao, Xiaoyi Yu, Pengfei Xiao, Shu Lu, Jia Biase, Fernando H. Sridhar, Bharat Huang, Norman Zhang, Kang Zhong, Sheng |
author_sort | Nguyen, Tri C. |
collection | PubMed |
description | The pervasive transcription of our genome presents a possibility of revealing new genomic functions by investigating RNA interactions. Current methods for mapping RNA–RNA interactions have to rely on an ‘anchor' protein or RNA and often require molecular perturbations. Here we present the MARIO (Mapping RNA interactome in vivo) technology to massively reveal RNA–RNA interactions from unperturbed cells. We mapped tens of thousands of endogenous RNA–RNA interactions from mouse embryonic stem cells and brain. We validated seven interactions by RNA antisense purification and one interaction using single-molecule RNA–FISH. The experimentally derived RNA interactome is a scale-free network, which is not expected from currently perceived promiscuity in RNA–RNA interactions. Base pairing is observed at the interacting regions between long RNAs, including transposon transcripts, suggesting a class of regulatory sequences acting in trans. In addition, MARIO data reveal thousands of intra-molecule interactions, providing in vivo data on high-order RNA structures. |
format | Online Article Text |
id | pubmed-4931010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49310102016-07-12 Mapping RNA–RNA interactome and RNA structure in vivo by MARIO Nguyen, Tri C. Cao, Xiaoyi Yu, Pengfei Xiao, Shu Lu, Jia Biase, Fernando H. Sridhar, Bharat Huang, Norman Zhang, Kang Zhong, Sheng Nat Commun Article The pervasive transcription of our genome presents a possibility of revealing new genomic functions by investigating RNA interactions. Current methods for mapping RNA–RNA interactions have to rely on an ‘anchor' protein or RNA and often require molecular perturbations. Here we present the MARIO (Mapping RNA interactome in vivo) technology to massively reveal RNA–RNA interactions from unperturbed cells. We mapped tens of thousands of endogenous RNA–RNA interactions from mouse embryonic stem cells and brain. We validated seven interactions by RNA antisense purification and one interaction using single-molecule RNA–FISH. The experimentally derived RNA interactome is a scale-free network, which is not expected from currently perceived promiscuity in RNA–RNA interactions. Base pairing is observed at the interacting regions between long RNAs, including transposon transcripts, suggesting a class of regulatory sequences acting in trans. In addition, MARIO data reveal thousands of intra-molecule interactions, providing in vivo data on high-order RNA structures. Nature Publishing Group 2016-06-24 /pmc/articles/PMC4931010/ /pubmed/27338251 http://dx.doi.org/10.1038/ncomms12023 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Nguyen, Tri C. Cao, Xiaoyi Yu, Pengfei Xiao, Shu Lu, Jia Biase, Fernando H. Sridhar, Bharat Huang, Norman Zhang, Kang Zhong, Sheng Mapping RNA–RNA interactome and RNA structure in vivo by MARIO |
title | Mapping RNA–RNA interactome and RNA structure in vivo by MARIO |
title_full | Mapping RNA–RNA interactome and RNA structure in vivo by MARIO |
title_fullStr | Mapping RNA–RNA interactome and RNA structure in vivo by MARIO |
title_full_unstemmed | Mapping RNA–RNA interactome and RNA structure in vivo by MARIO |
title_short | Mapping RNA–RNA interactome and RNA structure in vivo by MARIO |
title_sort | mapping rna–rna interactome and rna structure in vivo by mario |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931010/ https://www.ncbi.nlm.nih.gov/pubmed/27338251 http://dx.doi.org/10.1038/ncomms12023 |
work_keys_str_mv | AT nguyentric mappingrnarnainteractomeandrnastructureinvivobymario AT caoxiaoyi mappingrnarnainteractomeandrnastructureinvivobymario AT yupengfei mappingrnarnainteractomeandrnastructureinvivobymario AT xiaoshu mappingrnarnainteractomeandrnastructureinvivobymario AT lujia mappingrnarnainteractomeandrnastructureinvivobymario AT biasefernandoh mappingrnarnainteractomeandrnastructureinvivobymario AT sridharbharat mappingrnarnainteractomeandrnastructureinvivobymario AT huangnorman mappingrnarnainteractomeandrnastructureinvivobymario AT zhangkang mappingrnarnainteractomeandrnastructureinvivobymario AT zhongsheng mappingrnarnainteractomeandrnastructureinvivobymario |