Literature DB >> 26999422

Using RNA as Molecular Code for Programming Cellular Function.

Manish Kushwaha1, William Rostain1,2, Satya Prakash1, John N Duncan1, Alfonso Jaramillo1,2.   

Abstract

RNA is involved in a wide-range of important molecular processes in the cell, serving diverse functions: regulatory, enzymatic, and structural. Together with its ease and predictability of design, these properties can lead RNA to become a useful handle for biological engineers with which to control the cellular machinery. By modifying the many RNA links in cellular processes, it is possible to reprogram cells toward specific design goals. We propose that RNA can be viewed as a molecular programming language that, together with protein-based execution platforms, can be used to rewrite wide ranging aspects of cellular function. In this review, we catalogue developments in the use of RNA parts, methods, and associated computational models that have contributed to the programmability of biology. We discuss how RNA part repertoires have been combined to build complex genetic circuits, and review recent applications of RNA-based parts and circuitry. We explore the future potential of RNA engineering and posit that RNA programmability is an important resource for firmly establishing an era of rationally designed synthetic biology.

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Year:  2016        PMID: 26999422     DOI: 10.1021/acssynbio.5b00297

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  15 in total

Review 1.  Rational engineering of synthetic microbial systems: from single cells to consortia.

Authors:  Philip Bittihn; M Omar Din; Lev S Tsimring; Jeff Hasty
Journal:  Curr Opin Microbiol       Date:  2018-03-22       Impact factor: 7.934

2.  AptaBlocks: Designing RNA complexes and accelerating RNA-based drug delivery systems.

Authors:  Yijie Wang; Jan Hoinka; Yong Liang; Tomasz Adamus; Piotr Swiderski; Teresa M Przytycka
Journal:  Nucleic Acids Res       Date:  2018-09-19       Impact factor: 16.971

Review 3.  Synthetic Biology of Small RNAs and Riboswitches.

Authors:  Jordan K Villa; Yichi Su; Lydia M Contreras; Ming C Hammond
Journal:  Microbiol Spectr       Date:  2018-05

4.  A Fluorescent Split Aptamer for Visualizing RNA-RNA Assembly In Vivo.

Authors:  Khalid K Alam; Kwaku D Tawiah; Matthew F Lichte; David Porciani; Donald H Burke
Journal:  ACS Synth Biol       Date:  2017-05-26       Impact factor: 5.110

5.  Applicability of a computational design approach for synthetic riboswitches.

Authors:  Gesine Domin; Sven Findeiß; Manja Wachsmuth; Sebastian Will; Peter F Stadler; Mario Mörl
Journal:  Nucleic Acids Res       Date:  2017-04-20       Impact factor: 16.971

6.  Binary addition in a living cell based on riboregulation.

Authors:  Arantxa Rosado; Teresa Cordero; Guillermo Rodrigo
Journal:  PLoS Genet       Date:  2018-07-19       Impact factor: 5.917

Review 7.  The well-accepted notion that gene amplification contributes to increased expression still remains, after all these years, a reasonable but unproven assumption.

Authors:  Yuping Jia; Lichan Chen; Qingwen Jia; Xixi Dou; Ningzhi Xu; Dezhong Joshua Liao
Journal:  J Carcinog       Date:  2016-05-20

8.  Computational design of small transcription activating RNAs for versatile and dynamic gene regulation.

Authors:  James Chappell; Alexandra Westbrook; Matthew Verosloff; Julius B Lucks
Journal:  Nat Commun       Date:  2017-10-19       Impact factor: 14.919

9.  Termination factor Rho: From the control of pervasive transcription to cell fate determination in Bacillus subtilis.

Authors:  Vladimir Bidnenko; Pierre Nicolas; Aleksandra Grylak-Mielnicka; Olivier Delumeau; Sandrine Auger; Anne Aucouturier; Cyprien Guerin; Francis Repoila; Jacek Bardowski; Stéphane Aymerich; Elena Bidnenko
Journal:  PLoS Genet       Date:  2017-07-19       Impact factor: 5.917

10.  Efficient approximations of RNA kinetics landscape using non-redundant sampling.

Authors:  Juraj Michálik; Hélène Touzet; Yann Ponty
Journal:  Bioinformatics       Date:  2017-07-15       Impact factor: 6.937

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