Literature DB >> 34121404

Direct Mapping of Higher-Order RNA Interactions by SHAPE-JuMP.

Thomas W Christy1,2, Catherine A Giannetti1, Gillian Houlihan3, Matthew J Smola1, Greggory M Rice1, Jian Wang4, Nikolay V Dokholyan4,5, Alain Laederach6, Philipp Holliger3, Kevin M Weeks1.   

Abstract

Higher-order structure governs function for many RNAs. However, discerning this structure for large RNA molecules in solution is an unresolved challenge. Here, we present SHAPE-JuMP (selective 2'-hydroxyl acylation analyzed by primer extension and juxtaposed merged pairs) to interrogate through-space RNA tertiary interactions. A bifunctional small molecule is used to chemically link proximal nucleotides in an RNA structure. The RNA cross-link site is then encoded into complementary DNA (cDNA) in a single, direct step using an engineered reverse transcriptase that "jumps" across cross-linked nucleotides. The resulting cDNAs contain a deletion relative to the native RNA sequence, which can be detected by sequencing, that indicates the sites of cross-linked nucleotides. SHAPE-JuMP measures RNA tertiary structure proximity concisely across large RNA molecules at nanometer resolution. SHAPE-JuMP is especially effective at measuring interactions in multihelix junctions and loop-to-helix packing, enables modeling of the global fold for RNAs up to several hundred nucleotides in length, facilitates ranking of structural models by consistency with through-space restraints, and is poised to enable solution-phase structural interrogation and modeling of complex RNAs.

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Year:  2021        PMID: 34121404      PMCID: PMC8256721          DOI: 10.1021/acs.biochem.1c00270

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.321


  56 in total

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6.  Global Mapping of Human RNA-RNA Interactions.

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7.  RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers.

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Review 8.  Computational modeling of RNA 3D structure based on experimental data.

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  5 in total

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Review 2.  Advances and opportunities in RNA structure experimental determination and computational modeling.

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Journal:  Sci China Life Sci       Date:  2022-06-14       Impact factor: 10.372

4.  Identifying proximal RNA interactions from cDNA-encoded crosslinks with ShapeJumper.

Authors:  Thomas W Christy; Catherine A Giannetti; Alain Laederach; Kevin M Weeks
Journal:  PLoS Comput Biol       Date:  2021-12-14       Impact factor: 4.779

Review 5.  Chemical and Enzymatic Probing of Viral RNAs: From Infancy to Maturity and Beyond.

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Journal:  Viruses       Date:  2021-09-22       Impact factor: 5.048

  5 in total

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