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Correlating SHAPE signatures with three-dimensional RNA structures

  1. Author:
    Bindewald, E.
    Wendeler, M.
    Legiewicz, M.
    Bona, M. K.
    Wang, Y.
    Pritt, M. J.
    Le Grice, S. F. J.
    Shapiro, B. A.
  2. Author Address

    [Pritt, MJ; Shapiro, BA] NCI, Ctr Canc Res Nanobiol Program, Frederick, MD 21702 USA. [Bindewald, E; Bona, MK] NCI, Basic Sci Program, SAIC Frederick Inc, Frederick, MD 21702 USA. [Wendeler, M; Legiewicz, M; Wang, Y; Le Grice, SFJ] NCI, RT Biochem Sect, HIV Drug Resistance Program, Frederick, MD 21702 USA.;Shapiro, BA (reprint author), NCI, Ctr Canc Res Nanobiol Program, Frederick, MD 21702 USA;shapirbr@mail.nih.gov
    1. Year: 2011
    2. Date: Sep
  1. Journal: Rna-a Publication of the Rna Society
    1. 17
    2. 9
    3. Pages: 1688-1696
  2. Type of Article: Article
  3. ISSN: 1355-8382
  1. Abstract:

    Selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) is a facile technique for quantitative analysis of RNA secondary structure. In general, low SHAPE signal values indicate Watson-Crick base-pairing, and high values indicate positions that are single-stranded within the RNA structure. However, the relationship of SHAPE signals to structural properties such as non-Watson-Crick base-pairing or stacking has thus far not been thoroughly investigated. Here, we present results of SHAPE experiments performed on several RNAs with published three-dimensional structures. This strategy allows us to analyze the results in terms of correlations between chemical reactivities and structural properties of the respective nucleotide, such as different types of base-pairing, stacking, and phosphate-backbone interactions. We find that the RNA SHAPE signal is strongly correlated with cis-Watson-Crick/Watson-Crick base-pairing and is to a remarkable degree not dependent on other structural properties with the exception of stacking. We subsequently generated probabilistic models that estimate the likelihood that a residue with a given SHAPE score participates in base-pairing. We show that several models that take SHAPE scores of adjacent residues into account perform better in predicting base-pairing compared with individual SHAPE scores. This underscores the context sensitivity of SHAPE and provides a framework for an improved interpretation of the response of RNA to chemical modification.

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External Sources

  1. DOI: 10.1261/rna.2640111
  2. WOS: 000293964600008

Library Notes

  1. Fiscal Year: FY2011-2012
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