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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Tri C., Cao, Xiaoyi, Yu, Pengfei, Xiao, Shu, Lu, Jia, Biase, Fernando H., Sridhar, Bharat, Huang, Norman, Zhang, Kang, Zhong, Sheng
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