Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks

被引:4
作者
Chen, Yuan-Jyue [1 ]
Rao, Sundipta D. [1 ]
Seelig, Georg [1 ,2 ]
机构
[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
[2] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2015年 / 105期
基金
美国国家科学基金会;
关键词
Molecular Biology; Issue; 105; DNA nanotechnology; DNA strand displacement; molecular programming; DNA computing; chemical reaction networks; plasmid DNA; reaction kinetics; COMPUTATION; CONSTRUCTION; DESIGN; MOTOR; BOX;
D O I
10.3791/53087
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
DNA nanotechnology requires large amounts of highly pure DNA as an engineering material. Plasmid DNA could meet this need since it is replicated with high fidelity, is readily amplified through bacterial culture and can be stored indefinitely in the form of bacterial glycerol stocks. However, the double-stranded nature of plasmid DNA has so far hindered its efficient use for construction of DNA nanostructures or devices that typically contain single-stranded or branched domains. In recent work, it was found that nicked double stranded DNA (ndsDNA) strand displacement gates could be sourced from plasmid DNA. The following is a protocol that details how these ndsDNA gates can be efficiently encoded in plasmids and can be derived from the plasmids through a small number of enzymatic processing steps. Also given is a protocol for testing ndsDNA gates using fluorescence kinetics measurements. NdsDNA gates can be used to implement arbitrary chemical reaction networks (CRNs) and thus provide a pathway towards the use of the CRN formalism as a prescriptive molecular programming language. To demonstrate this technology, a multi-step reaction cascade with catalytic kinetics is constructed. Further it is shown that plasmid-derived components perform better than identical components assembled from synthetic DNA.
引用
收藏
页数:17
相关论文
共 48 条
  • [1] Self-assembly of a nanoscale DNA box with a controllable lid
    Andersen, Ebbe S.
    Dong, Mingdong
    Nielsen, Morten M.
    Jahn, Kasper
    Subramani, Ramesh
    Mamdouh, Wael
    Golas, Monika M.
    Sander, Bjoern
    Stark, Holger
    Oliveira, Cristiano L. P.
    Pedersen, Jan Skov
    Birkedal, Victoria
    Besenbacher, Flemming
    Gothelf, Kurt V.
    Kjems, Jorgen
    [J]. NATURE, 2009, 459 (7243) : 73 - U75
  • [2] A simple population protocol for fast robust approximate majority
    Angluin, Dana
    Aspnes, James
    Eisenstat, David
    [J]. DISTRIBUTED COMPUTING, 2008, 21 (02) : 87 - 102
  • [3] COMPUTATIONAL FUNCTIONS IN BIOCHEMICAL REACTION NETWORKS
    ARKIN, A
    ROSS, J
    [J]. BIOPHYSICAL JOURNAL, 1994, 67 (02) : 560 - 578
  • [4] Icosahedral DNA Nanocapsules by Modular Assembly
    Bhatia, Dhiraj
    Mehtab, Shabana
    Krishnan, Ramya
    Indi, Shantinath S.
    Basu, Atanu
    Krishnan, Yamuna
    [J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2009, 48 (23) : 4134 - 4137
  • [5] Two-domain DNA strand displacement
    Cardelli, Luca
    [J]. MATHEMATICAL STRUCTURES IN COMPUTER SCIENCE, 2013, 23 (02) : 247 - 271
  • [6] The Cell Cycle Switch Computes Approximate Majority
    Cardelli, Luca
    Csikasz-Nagy, Attila
    [J]. SCIENTIFIC REPORTS, 2012, 2
  • [7] Stacking nonenzymatic circuits for high signal gain
    Chen, Xi
    Briggs, Neima
    McLain, Jeremy R.
    Ellington, Andrew D.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (14) : 5386 - 5391
  • [8] Programmable chemical controllers made from DNA
    Chen, Yuan-Jyue
    Dalchau, Neil
    Srinivas, Niranjan
    Phillips, Andrew
    Cardelli, Luca
    Soloveichik, David
    Seelig, Georg
    [J]. NATURE NANOTECHNOLOGY, 2013, 8 (10) : 755 - 762
  • [9] Computational design of reaction-diffusion patterns using DNA-based chemical reaction networks
    Dalchau, Neil
    Seelig, Georg
    Phillips, Andrew
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8727 : 84 - 99
  • [10] Triggered amplification by hybridization chain reaction
    Dirks, RM
    Pierce, NA
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (43) : 15275 - 15278