Author
Listed:
- Tri C. Nguyen
(University of California, San Diego)
- Xiaoyi Cao
(University of California, San Diego)
- Pengfei Yu
(University of California, San Diego)
- Shu Xiao
(University of California, San Diego)
- Jia Lu
(University of California, San Diego)
- Fernando H. Biase
(University of California, San Diego)
- Bharat Sridhar
(University of California, San Diego)
- Norman Huang
(University of California, San Diego)
- Kang Zhang
(University of California, San Diego)
- Sheng Zhong
(University of California, San Diego)
Abstract
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 viv o) 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.
Suggested Citation
Tri C. Nguyen & Xiaoyi Cao & Pengfei Yu & Shu Xiao & Jia Lu & Fernando H. Biase & Bharat Sridhar & Norman Huang & Kang Zhang & Sheng Zhong, 2016.
"Mapping RNA–RNA interactome and RNA structure in vivo by MARIO,"
Nature Communications, Nature, vol. 7(1), pages 1-12, November.
Handle:
RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12023
DOI: 10.1038/ncomms12023
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