Literature DB >> 23893007

Designing a bio-responsive robot from DNA origami.

Eldad Ben-Ishay1, Almogit Abu-Horowitz, Ido Bachelet.   

Abstract

Nucleic acids are astonishingly versatile. In addition to their natural role as storage medium for biological information(1), they can be utilized in parallel computing(2,3) , recognize and bind molecular or cellular targets(4,5) , catalyze chemical reactions(6,7) , and generate calculated responses in a biological system(8,9). Importantly, nucleic acids can be programmed to self-assemble into 2D and 3D structures(10-12), enabling the integration of all these remarkable features in a single robot linking the sensing of biological cues to a preset response in order to exert a desired effect. Creating shapes from nucleic acids was first proposed by Seeman(13), and several variations on this theme have since been realized using various techniques(11,12,14,15) . However, the most significant is perhaps the one proposed by Rothemund, termed scaffolded DNA origami(16). In this technique, the folding of a long (>7,000 bases) single-stranded DNA 'scaffold' is directed to a desired shape by hundreds of short complementary strands termed 'staples'. Folding is carried out by temperature annealing ramp. This technique was successfully demonstrated in the creation of a diverse array of 2D shapes with remarkable precision and robustness. DNA origami was later extended to 3D as well(17,18) . The current paper will focus on the caDNAno 2.0 software(19) developed by Douglas and colleagues. caDNAno is a robust, user-friendly CAD tool enabling the design of 2D and 3D DNA origami shapes with versatile features. The design process relies on a systematic and accurate abstraction scheme for DNA structures, making it relatively straightforward and efficient. In this paper we demonstrate the design of a DNA origami nanorobot that has been recently described(20). This robot is 'robotic' in the sense that it links sensing to actuation, in order to perform a task. We explain how various sensing schemes can be integrated into the structure, and how this can be relayed to a desired effect. Finally we use Cando(21) to simulate the mechanical properties of the designed shape. The concept we discuss can be adapted to multiple tasks and settings.

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Year:  2013        PMID: 23893007      PMCID: PMC3731458          DOI: 10.3791/50268

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  24 in total

1.  A ribozyme that ligates RNA to protein.

Authors:  Scott Baskerville; David P Bartel
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-20       Impact factor: 11.205

2.  Synthesis from DNA of a molecule with the connectivity of a cube.

Authors:  J H Chen; N C Seeman
Journal:  Nature       Date:  1991-04-18       Impact factor: 49.962

3.  In vitro selection of RNA molecules that bind specific ligands.

Authors:  A D Ellington; J W Szostak
Journal:  Nature       Date:  1990-08-30       Impact factor: 49.962

4.  Folding DNA to create nanoscale shapes and patterns.

Authors:  Paul W K Rothemund
Journal:  Nature       Date:  2006-03-16       Impact factor: 49.962

5.  Remote electronic control of DNA hybridization through inductive coupling to an attached metal nanocrystal antenna.

Authors:  Kimberly Hamad-Schifferli; John J Schwartz; Aaron T Santos; Shuguang Zhang; Joseph M Jacobson
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

6.  Nucleic acid junctions and lattices.

Authors:  N C Seeman
Journal:  J Theor Biol       Date:  1982-11-21       Impact factor: 2.691

7.  Folding DNA into twisted and curved nanoscale shapes.

Authors:  Hendrik Dietz; Shawn M Douglas; William M Shih
Journal:  Science       Date:  2009-08-07       Impact factor: 47.728

8.  Isolation of new ribozymes from a large pool of random sequences [see comment].

Authors:  D P Bartel; J W Szostak
Journal:  Science       Date:  1993-09-10       Impact factor: 47.728

9.  An autonomous molecular computer for logical control of gene expression.

Authors:  Yaakov Benenson; Binyamin Gil; Uri Ben-Dor; Rivka Adar; Ehud Shapiro
Journal:  Nature       Date:  2004-04-28       Impact factor: 49.962

10.  Algorithmic self-assembly of DNA Sierpinski triangles.

Authors:  Paul W K Rothemund; Nick Papadakis; Erik Winfree
Journal:  PLoS Biol       Date:  2004-12-07       Impact factor: 8.029

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  2 in total

1.  Folding and Characterization of a Bio-responsive Robot from DNA Origami.

Authors:  Yaniv Amir; Almogit Abu-Horowitz; Ido Bachelet
Journal:  J Vis Exp       Date:  2015-12-03       Impact factor: 1.355

2.  Preparation of Mica and Silicon Substrates for DNA Origami Analysis and Experimentation.

Authors:  Michelle A Pillers; Rebecca Shute; Adam Farchone; Keenan P Linder; Rose Doerfler; Corey Gavin; Valerie Goss; Marya Lieberman
Journal:  J Vis Exp       Date:  2015-07-23       Impact factor: 1.355

  2 in total

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