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Detecting RNA–RNA Interactions Using Psoralen Derivatives

Authors: Timothy W, Nilsen;

Detecting RNA–RNA Interactions Using Psoralen Derivatives

Abstract

Psoralens are tricyclic compounds that intercalate into double-stranded DNA or RNA and, on irradiation with long-wavelength (365-nm) UV light, covalently link pyrimidines on adjacent strands. More rarely, psoralen cross-links can be observed at the ends of helices (i.e., double-stranded–single-stranded boundaries). Although psoralens can, in some instances, cross-link protein to RNA, their primary application is to detect RNA–RNA base-pairing interactions. The most useful psoralen derivative is 4′-aminomethyl trioxsalen (AMT), which is soluble in H2O. This protocol describes the use of AMT to detect RNA–RNA interactions in tissue culture cells or in extracts. Cross-linked RNAs are detectable by their reduced mobility in polyacrylamide gels. Cross-links can be reversed by exposure to short-wavelength (254 nm) UV light.

Keywords

Cell Nucleus, Cross-Linking Reagents, Humans, RNA, Trioxsalen, DNA, HeLa Cells

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
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