Comparative Visualization of the RNA Suboptimal Conformational Ensemble In Vivo

Chanin T. Woods, Lela Lackey, Benfeard Williams, Nikolay Dokholyan, David Gotz, Alain Laederach

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

When a ribonucleic acid (RNA) molecule folds, it often does not adopt a single, well-defined conformation. The folding energy landscape of an RNA is highly dependent on its nucleotide sequence and molecular environment. Cellular molecules sometimes alter the energy landscape, thereby changing the ensemble of likely low-energy conformations. The effects of these energy landscape changes on the conformational ensemble are particularly challenging to visualize for large RNAs. We have created a robust approach for visualizing the conformational ensemble of RNAs that is well suited for in vitro versus in vivo comparisons. Our method creates a stable map of conformational space for a given RNA sequence. We first identify single point mutations in the RNA that maximally sample suboptimal conformational space based on the ensemble's partition function. Then, we cluster these diverse ensembles to identify the most diverse partition functions for Boltzmann stochastic sampling. By using, to our knowledge, a novel nestedness distance metric, we iteratively add mutant suboptimal ensembles to converge on a stable 2D map of conformational space. We then compute the selective 2′ hydroxyl acylation by primer extension (SHAPE)-directed ensemble for the RNA folding under different conditions, and we project these ensembles on the map to visualize. To validate our approach, we established a conformational map of the Vibrio vulnificus add adenine riboswitch that reveals five classes of structures. In the presence of adenine, projection of the SHAPE-directed sampling correctly identified the on-conformation; without the ligand, only off-conformations were visualized. We also collected the whole-transcript in vitro and in vivo SHAPE-MaP for human β-actin messenger RNA that revealed similar global folds in both conditions. Nonetheless, a comparison of in vitro and in vivo data revealed that specific regions exhibited significantly different SHAPE-MaP profiles indicative of structural rearrangements, including rearrangement consistent with binding of the zipcode protein in a region distal to the stop codon.

Original languageEnglish (US)
Pages (from-to)290-301
Number of pages12
JournalBiophysical journal
Volume113
Issue number2
DOIs
StatePublished - Jul 25 2017

Fingerprint

RNA
Acylation
Hydroxyl Radical
Adenine
Riboswitch
Vibrio vulnificus
Terminator Codon
Point Mutation
Actins
Carrier Proteins
Ligands
In Vitro Techniques

All Science Journal Classification (ASJC) codes

  • Biophysics

Cite this

Woods, Chanin T. ; Lackey, Lela ; Williams, Benfeard ; Dokholyan, Nikolay ; Gotz, David ; Laederach, Alain. / Comparative Visualization of the RNA Suboptimal Conformational Ensemble In Vivo. In: Biophysical journal. 2017 ; Vol. 113, No. 2. pp. 290-301.
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Comparative Visualization of the RNA Suboptimal Conformational Ensemble In Vivo. / Woods, Chanin T.; Lackey, Lela; Williams, Benfeard; Dokholyan, Nikolay; Gotz, David; Laederach, Alain.

In: Biophysical journal, Vol. 113, No. 2, 25.07.2017, p. 290-301.

Research output: Contribution to journalArticle

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