Exploiting natural riboswitches for aptamer engineering and validation

Author:

Mohsen Michael G12ORCID,Midy Matthew K3,Balaji Aparaajita1,Breaker Ronald R123ORCID

Affiliation:

1. Department of Molecular, Cellular and Developmental Biology, Yale University , New Haven , CT 06511, USA

2. Howard Hughes Medical Institute, Yale University , New Haven , CT 06511, USA

3. Department of Molecular Biophysics and Biochemistry, Yale University , New Haven , CT 06511, USA

Abstract

Abstract Over the past three decades, researchers have found that some engineered aptamers can be made to work well in test tubes but that these same aptamers might fail to function in cells. To help address this problem, we developed the ‘Graftamer’ approach, an experimental platform that exploits the architecture of a natural riboswitch to enhance in vitro aptamer selection and accelerate in vivo testing. Starting with combinatorial RNA pools that contain structural features of a guanine riboswitch aptamer interspersed with regions of random sequence, we performed multiplexed in vitro selection with a collection of small molecules. This effort yielded aptamers for quinine, guanine, and caffeine that appear to maintain structural features of the natural guanine riboswitch aptamer. Quinine and caffeine aptamers were each grafted onto a natural guanine riboswitch expression platform and reporter gene expression was monitored to determine that these aptamers function in cells. Additionally, we determined the secondary structure features and survival mechanism of a class of RNA sequences that evade the intended selection strategy, providing insight into improving this approach for future efforts. These results demonstrate that the Graftamer strategy described herein represents a convenient and straightforward approach to develop aptamers and validate their in vivo function.

Funder

Howard Hughes Medical Institute

PhRMA Foundation

Life Sciences Research Foundation

National Institutes of Health Chemical Biology

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference57 articles.

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