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2017 年度 実績報告書

原子間力顕微鏡によるC型肝炎ウイルス増殖機構の分子基盤の解明

研究課題

研究課題/領域番号 16F16390
研究機関京都大学

研究代表者

野田 岳志  京都大学, ウイルス・再生医科学研究所, 教授 (00422410)

研究分担者 GILMORE JAMIE  京都大学, ウイルス・再生医科学研究所, 外国人特別研究員
研究期間 (年度) 2016-11-07 – 2019-03-31
キーワードRNA / atomic force microscopy
研究実績の概要

Over the past year, I have developed models for RNA structural domains by correlating AFM data with secondary structure models predicted from RNAstructure software. After developing these models, I synthesized minimal RNA constructs favoring particular conformations of each domain. AFM imaging of these constructs helped to validate the models, in addition to providing a way to independently evaluate the properties of each domain. From the AFM-based structural models of domains in viral RNA, I further proposed mutations that are likely to disrupt these structures. With the help of one of the students in the Noda lab, Junichi Kajikawa, we are working to introduce these mutations into viral RNA. These experiments should help to further validate the structural models as well as to identify the functional role of these domains in the viral lifecycle. I am currently preparing a manuscript to report these findings. While last year’s publication provided proof-of-concept for this technology by comparing AFM data of RNA molecules to RNA molecules with known structural domains (rRNA), this manuscript will be the first to actually demonstrate the use of AFM for identification and modeling of RNA structure in molecules with a previously unknown structure.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

Currently, I am working on a manuscript which will be the first to demonstrate the use of AFM to model the structure of RNA molecules. Thus, I believe that I have successfully established AFM as a new technology for structural analysis of RNA molecules which represents a breakthrough for the field of RNA biology. Furthermore, I have identified new structural domains in viral RNA molecules which could serve as antiviral targets in the future

今後の研究の推進方策

Although some domains have been successfully modeled and verified using RNAstructure, the structure of some of the other domains is less certain. I hope to perform experiments to refine and validate the precise structure of these domains. I have a variety of ideas for how to approach this issue. First, I want to attempt to use single particle reconstruction techniques, such as those normally applied for cryo-EM data, to improve the resolution of the AFM images. In addition, since models generated thus far using RNAstructure are only 2D representations of the data, the correlation between these models and AFM data is not completely clear. I have begun using modeling platforms like 3dRNA-2.0 to generate 3D representations of the data. I want to further extend this analysis by trying to overlay the 3D models with my AFM data. This would allow our models to further account for topological information. In addition, factors favoring the formation of particular conformational states of the RNA domains can be further understood by performing thermodynamic analysis. To accomplish this, I have been in conversations with Dr. Luis Marky, a Professor who was previously on my graduate committee at my alma mater who specializes in thermodynamic analysis of nucleic acids.

  • 研究成果

    (2件)

すべて 2018 2017

すべて 雑誌論文 (1件) (うち査読あり 1件) 学会発表 (1件) (うち国際学会 1件)

  • [雑誌論文] Visualization of conformational variability in the domains of long single-stranded RNA molecules.2017

    • 著者名/発表者名
      Gilmore JL, Yoshida A, Hejna JA, Takeyasu K.
    • 雑誌名

      Nucleic Acids Research.

      巻: 45 ページ: 8493-8507

    • DOI

      10.1093/nar/gkx502.

    • 査読あり
  • [学会発表] A Nanoimaging Approach for Identification of the Secondary Structural Domains in Long ssRNA Molecules2018

    • 著者名/発表者名
      Gilmore, JL, Yoshida A, Aizaki H, Nakano M, Yoshimura SH, Wakita T, Takeyasu K, Noda T.
    • 学会等名
      62nd Annual Biophysical Society Meeting
    • 国際学会

URL: 

公開日: 2018-12-17  

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