Literature DB >> 29654796

Combinatorial Design of a Nanobody that Specifically Targets Structured RNAs.

F Cawez1, E Duray1, Y Hu2, J Vandenameele3, E Romão2, C Vincke2, M Dumoulin3, M Galleni4, S Muyldermans2, M Vandevenne5.   

Abstract

Recent advances in transcriptome sequencing and analysis have revealed the complexity of the human genome. The majority (≈ 98%) of cellular transcripts is not translated into proteins and represents a vast, unchartered world of functional non-coding RNAs. Most of them adopt a well-defined three-dimensional structure to achieve their biological functions. However, only very few RNA structures are currently available which reflects the challenges associated with RNA crystallization. Nevertheless, these structures would represent a critical step in understanding functions of non-coding RNAs and their molecular mechanisms in the cell. The overall goal of this study is to develop an innovative and versatile tool to facilitate the functional study and crystallization of structured RNAs (stRNAs). In this work, we have engineered an antibody fragment from camelid heavy-chain antibody (nanobody) able to specifically bind with low nanomolar affinity to stRNA, while no binding could be detected for single-stranded DNA/RNA, double-stranded DNA/RNA or a negatively charged protein. However, this nanobody recognizes different and non-related stRNAs, this observation suggests that it binds to an epitope shared by these stRNAs. Finally, our data also show that the binding of the nanobody does not alter the secondary structure content of the stRNA as well as its unfolding/refolding processes during heat treatment. This work constitutes a successful proof of concept demonstrating that nanobodies can be engineered to recognize RNA-related epitopes.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  RNA/protein interactions; antibody fragment engineering; nanobody; non-coding RNAs; structured RNAs

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Substances:

Year:  2018        PMID: 29654796     DOI: 10.1016/j.jmb.2018.03.032

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  3 in total

1.  Intrabody Targeting HIF-1α Mediates Transcriptional Downregulation of Target Genes Related to Solid Tumors.

Authors:  Yaozhong Hu; Ema Romão; Cécile Vincke; Lea Brys; Yvon Elkrim; Marylène Vandevenne; Changxiao Liu; Serge Muyldermans
Journal:  Int J Mol Sci       Date:  2021-11-15       Impact factor: 5.923

Review 2.  Easily Established and Multifunctional Synthetic Nanobody Libraries as Research Tools.

Authors:  Bingying Liu; Daiwen Yang
Journal:  Int J Mol Sci       Date:  2022-01-27       Impact factor: 5.923

3.  The optimization system for preparation of TG1 competent cells and electrotransformation.

Authors:  Dafei Chai; Gang Wang; Lin Fang; Huizhong Li; Shanshan Liu; Haiying Zhu; Junnian Zheng
Journal:  Microbiologyopen       Date:  2020-05-11       Impact factor: 3.139

  3 in total

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