Robustness and modularity properties of a non-covalent DNA catalytic reaction
- PMID: 20194118
- PMCID: PMC2896509
- DOI: 10.1093/nar/gkq088
Robustness and modularity properties of a non-covalent DNA catalytic reaction
Abstract
The biophysics of nucleic acid hybridization and strand displacement have been used for the rational design of a number of nanoscale structures and functions. Recently, molecular amplification methods have been developed in the form of non-covalent DNA catalytic reactions, in which single-stranded DNA (ssDNA) molecules catalyze the release of ssDNA product molecules from multi-stranded complexes. Here, we characterize the robustness and specificity of one such strand displacement-based catalytic reaction. We show that the designed reaction is simultaneously sensitive to sequence mutations in the catalyst and robust to a variety of impurities and molecular noise. These properties facilitate the incorporation of strand displacement-based DNA components in synthetic chemical and biological reaction networks.
Figures
[adapted from (9)]. (A) DNA abstraction. The double-helix DNA molecule (top) is typically abstracted as two directional lines, one for each strand, with base identities shown (middle). Here, we abstract the DNA molecule one step further by grouping contiguous nucleotides into domains, functional regions of DNA that act as a unit in binding (bottom). Domains are labeled by numbers. Domain
is the complement of (and will hybridize to) domain
. The strands
,
and
form the three-stranded DNA complex
. The DNA molecule in the top panel was drawn using Nanoengineer, a free DNA visualization software by Nanorex. (B) The designed mechanism of catalytic function. (C) Fluorescent reporter complex. Output product
reacts stoichiometrically with reporter complex
to yield a fluorescent strand. ROX denotes the carboxy-X-rhodamine fluorophore (attached to the DNA molecule via an NHS ester), and RQ denotes the Iowa Black Red Quencher. This indirect reporter complex was used because of the thermodynamic effects of fluorophore-quencher binding (20). From (9),
, the second-order rate constant of reaction between
and
, was measured to be 4×105
. In experiments, the concentration of the reporter
was in excess of the concentration of the fuel
and substrate
to minimize the reporter delay (no more than 2 min for
= 30 nM). (D) Experimental and simulation results from (9). Dotted lines show ordinary differential equation (ODE) simulation results according to the model in Table 2.
. ‘Old sim’ denotes simulations using the model presented in (9), which was fitted only to the 10 nM data shown in Figure 1D. The ‘new sim’ simulations use the model and rate constants fitted to the data presented in this article. The relative ordering and the quantitative differences between the ‘new sim’ simulations and the experimental results are not considered significant—all traces are considered to be within experimental error of one another. (C) Our new model that accounts for
subpopulations. A small fraction (fitted to be 1.0%) of
exists as
, with deletions in domain 4. These react with
to yield
, from which
cannot dissociate.
concentration. The new model that accounts for catalyst inactivation (Table 3) fits the experimental data better than the old model (Table 2). Red traces denote 0.1× catalyst, whereas blue traces denote catalyst concentrations of ∼1 nM.
with a (A) 3′ dsDNA overhang, (B) 3′ssDNA overhang, (C) 5′dsDNA overhang, (D) 5′ssDNA overhang and (E) 5′ssDNA overhang (mostly poly-T). (F) Catalytic activity of catalyst molecules with various overhangs. The magenta traces show that the
and
strands possess no catalytic activity on their own, and that the increased catalytic activity of (A) and (C) over (B) and (D) is only due to the single/double-stranded state of the overhang.
does not react significantly with reporter complex
. Note that the single-stranded domain 2 on
could hybridize to the complementary domain
on reporter
. From there, it is possible to initiate a four-way branch migration process that could result in the release of the fluorophore-labeled DNA. However, four-way branch migration processes are significantly slower than three-stranded branch migration, and the hybridization of domain 2b is transient enough that this unintended pathway does not seem to be significant at our experimental conditions.
mutations. (A) Mismatches. The trajectory labels show the position and new identity of the mutated base. For example, ‘m-17-A’ denotes that the 17th base of catalyst
(from the 5′-end), was mutated from thymine to a adenine. (B) Insertions. The inserted base is inserted before (5′ of) the position denoted. (C) Deletions. (D) Summary of suppression by various catalyst mutations. The suppression factor is calculated as the initial slope of activity by the standard trace divided by the initial slope of activity by the mutated catalysts:
, where
is the fluorescence value due to a mutated catalyst at time
. (D.inset) The sequence of the catalyst molecule
is shown with the positions at which mutations were performed.
mutations. (A) Mismatches. (B) Insertions. The inserted base is inserted before (5′ of) the position denoted. (C) Deletions. (D) Summary of the catalytic activity using mutant fuel molecules. (D.inset) Sequence of the fuel molecule
and positions of mutations.
purified commercially by HPLC, while lowercase ‘f’ denotes unpurified fuel. Similarly, uppercase ‘S’ and ‘C’ denote that the strands in
and the catalyst
were purified. Note that though the substrate
used unpurified DNA strands, it was still manually purified by PAGE to ensure correct stoichiometry. (B) Effects of unpurified DNA on the uncatalyzed reaction rate. The dotted rate shows simulation results for
M
s
. (C) Denaturing gel of purified and unpurified strands and complexes. Lanes 2 and 3 show the PAGE-purified substrate prepared from unpurified and purified
,
and
strands, respectively. This shows the degree to which truncated strands are present in PAGE-purified
and
. Lanes 4 and 5 show the unpurified and purified catalyst, respectively. Lanes 6 and 7 show the unpurified and purified fuel, respectively. (D) Substrate
purity. Gel band intensities are displayed in arbitrary units (a.u.). Solid blue lines denote the (arbitrarily chosen) limits of the correct-length
strand, while dotted blue lines denote the (arbitrarily chosen) limits of the truncated
. The black horizontal line denotes the background intensity of the gel. The integrated intensity of the correct-length
above the background is divided by the sum of it and the integrated intensity of truncated
to yield the correct length fraction (summarized in Table 4). Similarly, solid magenta lines denote the limits of correct-length
and
, while dotted magenta lines denote the limits of truncated
and
. (E) Catalyst
purity. (F) Fuel
purity.
(that produced the simulation traces shown as dotted lines) was 8.2×104 M
s
. (C) Fluorescence characterization of the kinetics of the four-letter catalyst system. (D) Schematic of hybrid catalytic design using four-letter base sequences in the output domains
and
, and a three-letter base sequences in the catalytic domains
–
. Domain sequences are given in Table 5. ‘RG’ on the reporter complex denotes Rhodamine Green. ‘FQ’ on the reporter complex denotes the proprietary Iowa Black Fluorescence Quencher. (E) Fluorescence characterization of the kinetics of the reporter complex. The best fit value of
(that produced the simulation traces shown as dotted lines) was 1.4×105 M
s
. (F) Fluorescence characterization of the kinetics of the hybrid sequence catalyst system.
(due to synthesis errors and capping) do not hinder the designed catalytic pathway; this was shown in (9). (B) Schematic of the mirrored catalytic pathway when the fuel strand possesses an unintended 5′ truncation. 5′-Truncated fuel strands
are unable to quickly displace catalyst
from intermediate
. Catalyst cannot be regenerated to catalyze other reactions, so turnover is severely limited. (C) Maximum turnover of the original catalyst design. Catalyst
is unpurified, and substrate complex
is PAGE purified from unpurified strands. Fuel molecules
are unpurified (‘None’ trace), HPLC purified (‘HPLC’), or dual HPLC/PAGE-purified (‘Dual’). HPLC- and dual HPLC/PAGE-purified fuels allow a maximum turnover of over 50, while unpurified fuel allows a maximum turnover of less than 10. Maximum turnover is calculated as in Figure 2B: the plotted turnover is the excess fluorescence signal of an experiment with stated concentration of
over that of an experiment lacking
, divided by (
). (D) The reporter complex for the mirror catalyst system; the strands for this reporter complex likewise mirror the sequence of the strands for the original catalyst system. (E) Maximum turnover measurement of the mirrored catalyst design. Catalyst
is unpurified, and substrate complex
is PAGE purified from unpurified strands. Fuel molecules
are unpurified (‘None’ trace), HPLC purified (‘HPLC’) or dual HPLC-PAGE purified (‘Dual’). The maximum turnover of the mirrored catalyst system using dual HPLC/PAGE-purified fuel is seen to be roughly 45, while the HPLC purified and unpurified fuels allowed a maximum turnover of no more than 10. The spike near
is due to the subtractive nature of the method for calculating turnover, and is likely an artifact (this also exists in Figure 2B). Similarly, the decline in turnover at
h is likely also an artifact, due to the oligonucleotides in the uncatalyzed sample being at a slightly higher concentration (perhaps due to decreased adsorption of DNA to pipette tips) than that of the samples with catalyst.References
-
- Zhang DY, Winfree E. Control of DNA strand displacement kinetics using toehold exchange. J. Am. Chem. Soc. 2009;131:17303–17314. - PubMed
-
- Yurke B, Mills AP. Using DNA to power nanostructures. Genet. Prog. Evol. Mach. 2003;4:111–122.
-
- Seelig G, Soloveichik D, Zhang DY, Winfree E. Enzyme-free nucleic acid logic circuits. Science. 2006;314:1585–1588. - PubMed
-
- Hagiya M, Yaegashi S, Takahashi K. Computing with hairpins and secondary structures of DNA. In: Rozenberg G, Back Th, Eiben AE, Kok JN, Spaink HP, editors. Nanotechnology: Science and Computation. Springer, Berlin, Heidelberg; 2006. pp. 293–308.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
