Hybridization-proximity labeling reveals spatially ordered interactions of nuclear RNA compartments.
Hybridization-proximity labeling reveals spatially ordered interactions of nuclear RNA compartments.
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杂交接近标记揭示了核RNA室的空间有序相互作用。
DOI:
10.1016/j.molcel.2021.10.009
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发表时间:
2022-01-20
期刊:
影响因子:
16
通讯作者:
Makeyev EV
中科院分区:
文献类型:
--
作者:
Yap K;Chung TH;Makeyev EV
The ability of RNAs to form specific contacts with other macromolecules provides an important mechanism for subcellular compartmentalization. Here we describe a suite of hybridization-proximity (HyPro) labeling technologies for unbiased discovery of proteins (HyPro-MS) and transcripts (HyPro-seq) associated with RNAs of interest in genetically unperturbed cells. As a proof of principle, we show that HyPro-MS and HyPro-seq can identify both known and previously unexplored spatial neighbors of the noncoding RNAs 45S, NEAT1, and PNCTR expressed at markedly different levels. Notably, HyPro-seq uncovers an extensive repertoire of incompletely processed, adenosine-to-inosine-edited transcripts accumulating at the interface between their encoding chromosomal regions and the NEAT1-containing paraspeckle compartment. At least some of these targets require NEAT1 for their optimal expression. Overall, this study provides a versatile toolkit for dissecting RNA interactomes in diverse biomedical contexts and expands our understanding of the functional architecture of the mammalian nucleus. HyPro labeling uncovers interactors and spatial neighbors of RNAs of interest Protein and RNA partners are identified by mass spectrometry and deep sequencing No genetic modifications are required, allowing wider biomedical use Interactomes of RNA-containing nuclear bodies are mapped as a proof of principle Yap et al. developed a spatial interactome mapping approach relying on recruitment of a compact peroxidase reagent to RNAs of interest and proximity biotinylation in fixed genetically unperturbed cells. The authors show that this technology can identify RNA compartment-specific proteomes and transcriptomes and reveal higher order contacts of transcribed genomic regions.
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DOI:
10.1093/bioinformatics/btx346
发表时间:
2017-10-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Gel B;Serra E
通讯作者:
Serra E
影响因子:
64.5
作者:
Bhatt DM;Pandya-Jones A;Tong AJ;Barozzi I;Lissner MM;Natoli G;Black DL;Smale ST
通讯作者:
Smale ST
影响因子:
48
作者:
Bar DZ;Atkatsh K;Tavarez U;Erdos MR;Gruenbaum Y;Collins FS
通讯作者:
Collins FS
影响因子:
7
作者:
Floutsakou I;Agrawal S;Nguyen TT;Seoighe C;Ganley AR;McStay B
通讯作者:
McStay B
影响因子:
4.6
作者:
Anantharaman A;Jadaliha M;Tripathi V;Nakagawa S;Hirose T;Jantsch MF;Prasanth SG;Prasanth KV
通讯作者:
Prasanth KV