Cheulhee Jung1, Andrew D Ellington. 1. Institute for Cellular and Molecular Biology, University of Texas at Austin , Austin, Texas 78712, United States.
Abstract
CONSPECTUS: While the field of DNA computing and molecular programming was engendered in large measure as a curiosity-driven exercise, it has taken on increasing importance for analytical applications. This is in large measure because of the modularity of DNA circuitry, which can serve as a programmable intermediate between inputs and outputs. These qualities may make nucleic acid circuits useful for making decisions relevant to diagnostic applications. This is especially true given that nucleic acid circuits can potentially directly interact with and be triggered by diagnostic nucleic acids and other analytes. Chemists are, by and large, unaware of many of these advances, and this Account provides a means of touching on what might seem to be an arcane field. We begin by explaining nucleic acid amplification reactions that can lead to signal amplification, such as catalytic hairpin assembly (CHA) and the hybridization chain reaction (HCR). In these circuits, a single-stranded input acts on kinetically trapped substrates via exposed toeholds and strand exchange reactions, refolding the substrates and allowing them to interact with one another. As multiple duplexes (CHA) or concatemers of increasing length (HCR) are generated, there are opportunities to couple these outputs to different analytical modalities, including transduction to fluorescent, electrochemical, and colorimetric signals. Because both amplification and transduction are at their root dependent on the programmability of Waston-Crick base pairing, nucleic acid circuits can be much more readily tuned and adapted to new applications than can many other biomolecular amplifiers. As an example, robust methods for real-time monitoring of isothermal amplification reactions have been developed recently. Beyond amplification, nucleic acid circuits can include logic gates and thresholding components that allow them to be used for analysis and decision making. Scalable and complex DNA circuits (seesaw gates) capable of carrying out operations such as taking square roots or implementing neural networks capable of learning have now been constructed. Into the future, we can expect that molecular circuitry will be designed to make decisions on the fly that reconfigure diagnostic devices or lead to new treatment options.
CONSPECTUS: While the field of DNA computing and molecular programming was engendered in large measure as a curiosity-driven exercise, it has taken on increasing importance for analytical applications. This is in large measure because of the modularity of DNA circuitry, which can serve as a programmable intermediate between inputs and outputs. These qualities may make nucleic acid circuits useful for making decisions relevant to diagnostic applications. This is especially true given that nucleic acid circuits can potentially directly interact with and be triggered by diagnostic nucleic acids and other analytes. Chemists are, by and large, unaware of many of these advances, and this Account provides a means of touching on what might seem to be an arcane field. We begin by explaining nucleic acid amplification reactions that can lead to signal amplification, such as catalytic hairpin assembly (CHA) and the hybridization chain reaction (HCR). In these circuits, a single-stranded input acts on kinetically trapped substrates via exposed toeholds and strand exchange reactions, refolding the substrates and allowing them to interact with one another. As multiple duplexes (CHA) or concatemers of increasing length (HCR) are generated, there are opportunities to couple these outputs to different analytical modalities, including transduction to fluorescent, electrochemical, and colorimetric signals. Because both amplification and transduction are at their root dependent on the programmability of Waston-Crick base pairing, nucleic acid circuits can be much more readily tuned and adapted to new applications than can many other biomolecular amplifiers. As an example, robust methods for real-time monitoring of isothermal amplification reactions have been developed recently. Beyond amplification, nucleic acid circuits can include logic gates and thresholding components that allow them to be used for analysis and decision making. Scalable and complex DNA circuits (seesaw gates) capable of carrying out operations such as taking square roots or implementing neural networks capable of learning have now been constructed. Into the future, we can expect that molecular circuitry will be designed to make decisions on the fly that reconfigure diagnostic devices or lead to new treatment options.
Nucleic
acids have been adapted to function as circuits capable
of executing algorithms. Although the use of the word “circuit”
in general recalls silicon computers using electricity flowing on
boards, it can also be applied to virtually any hardware that carries
out an algorithm. In the case of nucleic acids, the algorithm is typically
embedded directly in the nucleic acid circuit itself, making many
nucleic acid circuits “matter computers” whose output
is reflected in a changed physical state of the circuit, such as its
exposed sequence or conformation. Interestingly, this means that the
typical distinction between hardware and software has so far been
blurred for nucleic acid circuits, and there is not currently a “software”
equivalent for programming with carbon.The key mechanism that
enables nucleic acid circuits to be rationally
programmed is known as toehold-mediated strand displacement,[1,2] and the general scheme is described in Figure 1A. In this process, a nucleic acid duplex is composed of an output
strand and a substrate strand that is extended with a short single-stranded
region known as a toehold. An input strand can initiate binding in
the toehold, allowing branch migration to displace the output strand.
This simple reaction is the key to many of the more complex toehold-mediated
strand displacement reactions described herein. Toeholds can also
be exchanged on DNA substrates as part of a toehold-mediated strand
displacement mechanism that allows facile equilibration of different
nucleic acid species (Figure 1B).
Figure 1
Basic mechanisms
of (A) toehold-mediated strand displacement and
(B) toehold exchange.
Basic mechanisms
of (A) toehold-mediated strand displacement and
(B) toehold exchange.Yurke and co-workers first demonstrated the utility of toehold-mediated
strand displacement by creating a simple molecular machine (a tweezer)
that underwent particular state changes (opening and closing) in response
to the addition of particular nucleic acid substrates.[3] However, these general schemes have since proven to be
surprisingly versatile for the creation of a variety of artificial
DNA nanomachines,[4−6] logic gates, and nanostructures[7−9] that in turn
can perform a variety of tasks, including acting as logic gates; transducing,
thresholding, and amplifying signals; and providing feedback and restoration
of state.[10−13] As examples, nucleic acid circuits have been shown to be capable
of playing tic-tac-toe,[14] calculating the
square root of a four-bit binary number,[13] and mimicking neural network computation.[15]Since medical diagnosis is inherently the process of making
decisions
about the state of human physiology, it should be possible to adapt
the extraordinary capabilities of nucleic acid circuits to diagnostic
applications. This is especially true given that nucleic acid circuits
can potentially directly interact with and be triggered by some of
the most diagnostic molecules in humans, RNA and DNA. In this review,
we will attempt to demonstrate both progress in the development of
nucleic acid circuits as molecular diagnostics and their future capabilities.
Types of Nucleic Acid Circuits
Nucleic acid circuits
can be artificially divided into classes
based on their components and settings. With respect to their components,
nucleic acid circuits can operate either completely on their own,
with only the nucleic acids themselves carrying out an algorithm,
or assisted by protein enzymes. With respect to their settings, nucleic
acid circuits can either operate in vitro or they can be embedded
within cells or within organisms in vivo.Most nucleic acid
circuits are non-enzymatic and do not rely on
protein enzymes for their function. However, there have been several
interesting demonstrations of nucleic acid circuits that rely upon
proteins for an integral portion of their function. For example, Kim
et al. constructed a bistable switch based on cross-repression of
promoter units by transcribed RNA molecules.[16] Similarly, Montagne et al. have combined templates, primers, DNA
polymerase, a nicking enzyme, and an exonuclease to create a nucleic
acid circuit capable of sustained oscillations.[17] To date, nucleic acid circuits that rely on enzymes for
some portion of their function have not been widely adapted to in
vitro diagnostic applications. This is not because such chimeric circuits
cannot eventually prove useful but because of the difficulties in
defining rules for (frequently idiosyncratic) protein function that
are as simple and robust as those involved in toehold-mediated strand
displacement. For similar reasons, most nucleic acid circuits have
been implemented in vitro rather than in the much more complex (and
enzyme ridden) environment of a cell. This Account will therefore
focus on diagnostic applications of enzyme-free nucleic acid circuits
in vitro.
Nucleic Acid Amplifiers
One potential
limitation on non-enzymatic nucleic acid circuits
for analytical applications is that although they can compute and
transduce on the basis of inputs, they may not be able to amplify
what are typically quite small biological signals. Thus, it is of
particular interest that many of the first applications of non-enzymatic
nucleic acid circuits have been as amplifiers. The first amplification
circuit that utilized toehold-mediated strand displacement was developed
by Turberfield et al. and was later modified by Seelig et al. using
metastable kissing-loop structures (Figure 2A).[5,10] Since these early demonstrations, a number
of different amplification circuits have been developed and have begun
to be adapted to analytical applications.[18]
Figure 2
Mechanisms
of (A) a catalytic circuit using a metastable kissing-loop
structure and (B) entropy-driven catalysis (EDC). (C) Application
of EDC to colorimetric detection.
Mechanisms
of (A) a catalytic circuit using a metastable kissing-loop
structure and (B) entropy-driven catalysis (EDC). (C) Application
of EDC to colorimetric detection.Non-enzymatic nucleic acid amplifiers can be broadly divided
by
the mechanisms they utilize. Below, we will consider how the basic
toehold-mediated strand displacement mechanism has been utilized to
develop complex entropy-driven catalysis (EDC) circuits,[12] so-called seesaw gates,[13] catalytic hairpin assembly (CHA) reactions,[8,19] and
hybridization chain reactions (HCR).[20]
Entropy-Driven Catalysis (EDC)
Zhang
et al. initially designed a catalytic circuit in which the addition
of a single input strand led to the release of more than one output
strand.[12] This reaction is generally driven
by the overall entropy of the process and is referred to here as entropy-driven
catalysis (EDC; Figure 2B). This mechanism
is distinct from the others considered herein, where enthalpy largely
drives amplification. In this method, an input strand initiates a
series of toehold-mediated strand displacement reactions that lead
to catalytic turnover. The input strand first binds to the toehold
domain of the gate, displacing an output strand 1. This exposes an
additional toehold, to which the fuel strand binds, releasing the
output strand 2. The fuel strand further displaces the input strand,
and the double-stranded product is waste that does not further react.
While the total number of base pairs before and after reaction is
not changed, a small amount of free input strand can release a much
larger number of free output strands; thus, the overall reaction is
driven by a gain in the entropy of the system. This system gave approximately
80- to 100-fold amplification over 24 h with a limit of detection
of 10 pM.Using this basic mechanism, a cascaded circuit was
constructed in which the output strand from the first circuit acted
as the input strand for the second circuit, leading to approximately
900-fold amplification over 12 h with a 1 pM limit of detection.[12] In addition, by designing the output strand
to be the same as the input strand, a catalytic circuit that showed
exponential amplification was developed. However, this circuit gave
only about 25-fold amplification in 30 min because of a high background
coupled with exponential growth kinetics.[12]Our group has previously combined EDC circuits with DNAzyme
outputs,
thus allowing an input strand to be converted to multiple peroxidase
DNAzymes that could in turn convert colorless substrates into a signal
that could be readily observed by eye.[21] In this circuit (Figure 2C), an input strand
binds to a toehold of the gate. Strand displacement results in the
release of output strand 1. Then, a fuel strand further interacts
with the substrate strand and ultimately displaces the input strand,
which can then interact with additional gates. The released output
1 binds to the toehold of a reporter, displacing a single-stranded
oligonucleotide that forms a G-quadruplex structure with peroxidase
activity. Although this circuit was a useful signal transducer, it
showed only about 4-fold amplification within an hour.
Catalytic Hairpin Assembly (CHA)
Catalytic hairpin
assembly (CHA) differs slightly from the EDC circuits
described above, in part in its design (based largely on unimolecular
hairpins rather than bimolecular hemiduplexes) and in part on the
fact that it is driven by enthalpic as well as entropic considerations.
This circuit was originally developed by Pierce and Yin and has proven
to be extraordinarily versatile.[8] As shown
in Figure 3A, a pair of DNA hairpins (H1 and
H2) was designed to be complementary to one another. However, spontaneous
hybridization between H1 and H2 is kinetically hindered because the
complementary regions are embedded within the hairpin stems. In the
presence of an input strand, the stem portion of H1 is opened by the
toehold-mediated strand displacement. A newly exposed ssDNA region
within H1 can then hybridize to a toehold within H2 and trigger branch
migration, ultimately forming a tripartite complex between H1, H2,
and input strand. As strand displacement proceeds, this complex will
resolve into the most thermodynamically favorable configuration, the
H1/H2 duplex, and the input strand will be displaced and be available
for additional rounds of toehold-mediated strand displacement. Whereas
EDC yields independent output strands, CHA embeds its output within
stem structures, making the design of these circuits somewhat more
difficult. However, this is offset by much greater synthetic tractability.
Figure 3
Mechanisms
of (A) catalytic hairpin assembly (CHA) and (B) two-layered
CHA.
Mechanisms
of (A) catalytic hairpin assembly (CHA) and (B) two-layered
CHA.The original circuits developed
by Yin et al.[8] proved to have higher background
than would have been useful
for diagnostic applications. We removed so-called clamping domains
that were not necessary for the strand exchange reaction and in turn
increased the size of each interaction domain from 6 to 8 bp (except
for domain 4, which was 11 bp). This simplified design strategy helped
to prevent misfolding and thus uncatalyzed hybridization. The total
length of the sequences involved in a CHA circuit was also reduced
from 75 to 100 bp to 40–60 bp, further decreasing the time
required for cycles of design, synthesis, and testing.[19] The improved CHA circuit showed very little
background (<0.5 M–1 s–1),
a good turnover rate (>1 min–1), and 50- to 100-fold
signal amplification within a few hours.Although amplification
of a hundred-fold or so is useful, it is
not clear that this will enable its use for many diagnostic applications.
To improve amplification further, the CHA circuits can be cascaded
(Figure 3B). As with a one-layer CHA, the input
strand binds to the toehold of H1-1 and leads to the formation of
a H1-1/H2-1 complex. However, rather than directly yielding a signal,
single-stranded regions on this complex initiate a second layer of
CHA. Although the two-layer cascade CHA reaction generates greater
amplification, non-specific hybridization among the numerous CHA substrates
can again lead to the accumulation of background. By systematically
analyzing the origins and characteristics of circuit leakage, we could
eventually obtain high-quality CHA circuits that exhibited minimal
leakage and 7000-fold signal amplification (Figure 3B).[22] A two-by-two layer cascade
(serial transfer between two two-layer cascades) yielded upward of
600 000-fold signal amplification. Unfortunately, the second
half of the two-layer cascade was relatively slow, and the overall
four-layer cascade required 12 h to execute, obviously making it less
useful for many diagnostic applications.Even in the absence
of this degree of amplification, it may be
that non-enzymatic circuits such as CHA can be used as transducers
with more powerful enzyme-based amplification methods. In particular,
isothermal amplification assays that proceed through or produce ssDNA
products (such as LAMP, RCA, and SDA) might be used to trigger CHA
amplifiers/transducers. As an example, CHA has been successfully combined
with LAMP.[23] As shown in Figure 4A, the single-stranded loop regions from LAMP were
transduced into CHA reporters. One of the LAMP loops opened a hairpin
and in turn activated an input strand that triggered the CHA reaction.
While most of the amplification is due to enzyme-mediated reproduction
of the amplicon, the CHA transducer itself shows a very good signal-to-background
ratio, provides several hundred-fold additional amplification within
a few hours, and detects less than 17 aM (10 molecules/μl) of
a target sequence (M13mp18). More importantly, because of the high
sequence specificity of CHA, false-positive signals from parasitic
amplicons that arose from primer–primer interactions and non-specific
binding to templates were greatly suppressed. In essence, CHA served
as the equivalent of a sequence-specific “TaqMan probe”
for LAMP reaction. Given that LAMP and many other continuous amplification
protocols frequently produce spurious products because of non-specific
and often template-independent amplification, CHA circuitry has true
utility in redeeming these reactions for diagnostic applications.
Further adaptations of CHA probes to real-time and highly specific
detection of other isothermal amplification reactions such as RCA
and SDA were achieved by engineering a thermostable CHA circuit (Figure 4B,C).[24]
Figure 4
(A) Application of CHA
to monitoring LAMP. (B) RCA–CHA and
(C) SDA–CHA combinations.
(A) Application of CHA
to monitoring LAMP. (B) RCA–CHA and
(C) SDA–CHA combinations.The versatility of CHA circuitry also bodes well for its
adoption
in a variety of analytical applications. This versatility is best
appreciated by examining the variety of outputs and inputs that can
be used for CHA circuits. With respect to outputs, CHA cascades have
been transduced into various signals including fluorescence, electrochemical,
colorimetric, and paperfluidic (strip sensor) methods. In fact, the
exact same CHA circuit was adapted to fluorescence, electrochemistry,
and colorimetry by simply changing the reporters that were appended
to the DNA substrates. To monitor the assembly of H1 and H2 in real
time, a fluorescent reporter was constructed by hybridizing oligonucleotides
that contained a fluorophore and a quencher. The tail of the H1/H2
complex binds the toehold of the strand containing the fluorophore
and displaces the quencher, leading to an increase in fluorescent
signal (Figure 5A; similar examples can be
seen in Figure 3).[19] For electrochemical signaling, H1 was labeled with methylene blue
(MB), and a capture probe (C) that was complementary to the tail of
H1/H2 complex was immobilized on a gold electrode. The capture of
H1/H2 brought MB closer to the electrode surface, yielding an electrochemical
signal (Figure 5B).[19] Colorimetric detection was achieved by having one of the substrates
contain a quadruplex DNAzyme peroxidase that catalyzes the oxidation
of the colorless substrate, ABTS2–, into the readily
observed green product, ABTS•–. Hybridization
to a blocking strand denatured the DNAzyme. Input-dependent strand
exchange removed the blocker and led to folding of the DNAzyme and
thus input-dependent increases in color that could be readily detected
by eye (Figure 5C).[19] In other implementations, colorimetric detection was achieved via
gold nanoparticle aggregation.[25] Multiple
H1 and H2 hairpins were separately conjugated to gold nanoparticles.
In the presence of an input strand, the CHA cascade can lead to multiple
particles aggregating with one another, in turn leading to a color
change (Figure 5D).
Figure 5
Modularity of outputs
and inputs for catalytic hairpin assembly
(CHA). Output signaling can include fluorescence (A), electrochemistry
(B), and colorimetry either using DNAzymes (C) or gold nanoparticles
(D). CHA assays can also be adapted to paperfluidic detection (E).
Inputs can include metal ions (actvating DNAZyme cleavage; F) and
proteins such as thrombin (G).
Modularity of outputs
and inputs for catalytic hairpin assembly
(CHA). Output signaling can include fluorescence (A), electrochemistry
(B), and colorimetry either using DNAzymes (C) or gold nanoparticles
(D). CHA assays can also be adapted to paperfluidic detection (E).
Inputs can include metal ions (actvating DNAZyme cleavage; F) and
proteins such as thrombin (G).The simplicity of CHA circuit design also allows these various
detection modalities to be adapted to different analytical or sensor
platforms, including media as simple as paperfluidics, either after[26] or during[27] the execution
of the circuit. In either case, the detection of CHA reactions on
paper strips relies on capture of the reporter strand from the flow
stream. For example, the H1/H2 complex includes both a biotin moiety
at the 3′ end of H2 and a short overhang at the 3′ end
of H1 that leads to the capture of a AuNP–DNA probe at a target
site (TS) on the strip sensor (Figure 5E).[26] This probe can also be captured at a control
site (CS) even in the absence of reaction. Therefore, two lines at
TS and CS appear in the presence of a target, whereas only one line
at CS appears in a negative test.With respect to inputs and
as an example of non-nucleic acid detection,
a lead-dependent DNAzyme was hybridized to a substrate such that upon
lead-induced cleavage an input strand was released for further signal
amplification by CHA (Figure 5F). The H1/H2
product was then captured on a strip biosensor. This configuration
yielded a detection for lead of 10–100 pM, which is 4 orders
of magnitude better than the previously reported strip biosensors
without amplification.[26] Similarly, an
anti-thrombin aptamer has been used to trigger CHA.[28] As shown in Figure 5G, the anti-thrombin
aptamer was embedded into the stem and loop regions of H1. The breathing
of H1 presumably allows the thrombin-binding DNA quadruplex to transiently
fold. In the presence of thrombin, the quadruplex is stabilized, leading
to more persistent presentation of a sequence that can then interact
with a toehold on H2. The completion of the CHA cascade again leads
to the formation of a H1/H2 complex and the release of thrombin, which
can recycle and reinitiate the strand exchange reaction. CHA amplification
reduced the detection limit for thrombin to 20 pM, more than 2 orders
of magnitude better than similar aptasensors and comparable to conventional
ELISA. A similar implementation with the anti-adenosine aptamer was
demonstrated. The reaction was coupled to the formation of a G-quadruplex
structure that in turn bound the fluorogenic reporter, N-methyl mesoporphyrin IX (NMM). This led to a detection limit of
6 μM, an order of magnitude higher than in the absence of amplification.[29]
Hybridization Chain Reaction
(HCR)
The hybridization chain reaction is actually a precursor
to catalytic
hairpin assembly and was also developed by the Pierce group at Caltech.[20] In HCR, like CHA, two kinetically trapped hairpins
(again H1 and H2) are designed to react with one another only in the
presence an input strand. However, rather than just forming a dimer,
they form a concatenated dimer: a long dsDNA (or dsRNA) that contains
hundreds of repeated units (Figure 6). Because
there is not a specific sequence output, this mechanism is not typically
used in complex circuits. However, the long concatemers make excellent
reporters for diagnostics. There is an interesting trade off between
the number of inputs and the length of HCR concatemers: because the
amount of H1 and H2 probes is fixed, when the input concentration
is low the average length of HCR products is longer than in the case
of high concentrations of input. Unfortunately, irrespective of the
input concentration, HCR concatemers will grow until they exhaust
substrates. This makes it difficult to quantitate these reactions
unless early time points in the reaction are used.
Figure 6
Scheme of the hybridization
chain reaction (HCR).
Scheme of the hybridization
chain reaction (HCR).HCR has proven to be especially useful for solid-state-based
detection
methods, as the long concatemer can potentially contain multiple reporters
that will be immobilized in one place. The hairpin substrates can
once again contain either electrochemical,[30] chemiluminescent,[31] or fluorescent reporters[32] or can contain binding sites for such reporters.
For example, the HCR reaction can be used as an excellent way to enhance
signals from in situ hybridization and has proven to be extremely
useful for visualizing the localization of DNA or RNA within cells
and tissues (Figure 7A). Using HCR probes containing
different fluorescent reporters, the expression and localization of
five different mRNAs could be simultaneously observed in fixed zebrafish
embryos.[33] For electrochemical detection,
[Ru(NH3)6]3+ was added to assembled
HCR concatemers, bound via electrostatic interactions with the negatively
charged phosphate backbone of DNA, and could then serve as a redox
indicator for electrochemical signaling (Figure 7B). When used as a transducer for an isothermal amplification reaction,
the detection limit was calculated to be 0.02 fM (although only 5-fold
came from HCR after 3 h of incubation). For chemiluminescence, a manganese
porphyrin (MnTMPyP)/dsDNA complex has been reported to have peroxidase
activity, similar to the deoxyribozymes described in the previous
section. An antibody-based sandwich assay was used to immobilize an
input strand for HCR, and the double-stranded concatemers were detected
following addition of MnTMPyp. This assay increased the sensitivity
of carcinoembryonic antigen (CEA) detection by about 1 order of magnitude
after 1 h (Figure 7C). A similar immuno-HCR
reaction was utilized to enhance the detection of secreted cytokines
and chemokines from single human mononuclear cells. In this application,
HCR probes were labeled with different fluorophores for multiplex
analysis (Figure 7D). The sensitivity of detection
was improved by an average of 200-fold via the HCR reaction.
Figure 7
Applications
of HCR in solid-state detection. (A) In situ hybridization
and fluorescent detection of mRNA targets. (B) Electrochemical detection
of DNA. (C) Chemiluminescent detection of antigens. (D) Multiplexed
fluorescent detection on glass slides.
Applications
of HCR in solid-state detection. (A) In situ hybridization
and fluorescent detection of mRNA targets. (B) Electrochemical detection
of DNA. (C) Chemiluminescent detection of antigens. (D) Multiplexed
fluorescent detection on glass slides.HCR can also be adapted to homogeneous solution-based detection
methods. As was the case with CHA, conformational changes based on
strand exchange can lead to the folding of a G-quadruplex DNAzyme
that can oxidize ABTS2– to green-colored ABTS•– (Figure 8A). Because
of the large number of DNAzymes activated, as low as 7.5 nM target
RNA (input strand) could be detected through a color change induced
by DNAzyme.[34]
Figure 8
Homogeneous solution
based-detection methods for HCR. Conformational
transduction and colorimetry via G-quadruplex formation (A) or gold
nanoparticles (B). Proximity methods utilizing pyrene-modified HCR
probes (C), DNAzyme-embedded HCR probes (D), ligation and ATP recycling
(E), or a combination with HCR and CHA (F).
Homogeneous solution
based-detection methods for HCR. Conformational
transduction and colorimetry via G-quadruplex formation (A) or gold
nanoparticles (B). Proximity methods utilizing pyrene-modified HCR
probes (C), DNAzyme-embedded HCR probes (D), ligation and ATP recycling
(E), or a combination with HCR and CHA (F).Because of the bulk dsDNA produced, HCR can also be adapted
to
more novel homogeneous detection methods (Figure 8B).[35] It has been noted that gold
nanoparticles coated with double-stranded DNA aggregate at high salt
concentrations, whereas gold nanoparticles coated with single-stranded
DNA are dispersed. In the absence of input strand, the tailed ssDNA
of each H1 and H2 bind to gold nanoparticles and make them less likely
to aggregate. However, in the presence of input strand, the long dsDNA
HCR products do not bind to gold nanoparticles and they are therefore
more easily aggregated with high salt. Using this simple colorimetric
mechanism, detection limits via instrument and naked eye were determined
to be 50 and 100 pM, respectively, about 2 orders of magnitude lower
than conventional AuNP-based colorimetric biosensing.HCR can
also be used for homogeneous sensing in solution, primarily
by relying on signals that result from the proximity of the multiple
H1 and H2 subunits within the longer concatemer. For example, Tan
and co-workers modified the ends of H1 and H2 with pyrenes (Figure 8C),[36] and in the presence
of input strand, the pyrenes were brought into proximity, forming
pyrene-excimers and leading to a fluorescent signal. This method could
detect around 250 fM input strand. Similarly, Willner and co-workers
incorporated a DNAzyme system into HCR but also utilized proximity
approaches by splitting the DNAzyme into two subunits that would only
efficiently reassemble upon input strand-mediated concatemer formation
(Figure 8D).[37] The
DNAzyme was a cleavase that could split apart a fluor/quencher pair
on an oligonucleotide substrate, and the combination of HCR and split
DNAzyme led to a sensitivity of 10 fM of input strand. Proximity-based
DNA ligation has been coupled to the generation of bioluminescence
(Figure 8E).[38] The
input strand can be quantitatively detected down to a 3 pM limit because
of both HCR signal amplification and the recycling of the AMP produced
by the ligation assay.As previously stated, one of the remarkable
things about nucleic
acid circuitry is its overall modularity, and it has proven to be
relatively easy to adapt circuits not only to different inputs and
outputs but also to one another. HCR and CHA have been combined (Figure 8F) by designing the H1 substrate for HCR to have
single-stranded regions at both its 5′ and 3′ ends so
that when these two regions are brought into proximity they can initiate
a CHA reaction in solution.[39] In the absence
of an input strand for HCR, the two single-stranded inputs for CHA
are spatially separated and do not efficiently initiate the CHA cascade.
Although this method did provide some additional amplification over
CHA alone, the overall sensitivity of detection was not improved because
of nonlinearities in the signal response that may be due to the presence
of a small fraction of imperfectly formed, chain-terminating HCR substrates.
Nucleic Acid Circuits Making Decisions
Because
nucleic acid circuits are derived from efforts to establish
nucleic acid computation, there are many functions besides amplification
where such circuits may prove to be useful in diagnostic assays. Nucleic
acid circuits are particularly well-suited to decision making and
can include logic gates and thresholding or bandpass elements.Seelig and Winfree originally constructed enzyme-free DNA circuits
that could carry out Boolean logic operations and signal restoration.[11] A two-input AND gate complex consisted of the
O, I1*, and I2* oligonucleotides (Figure 9A).
The first input strand (I1) binds to the toehold of the gate, and
the I1–I1* dsDNA is released via branch migration, exposing
a new toehold site where the second input strand (I2) binds. The second
input strand displaces the output strand (O), which can also act as
an input strand to an additional gate. Using this basic scheme, circuits
performing OR and NOT operations were constructed and could again
be linked to one another. To buffer circuits against background noise,
signal amplification and threshold gates were further introduced into
the circuits. As shown Figure 9B, the threshold
gate is essentially a three-input AND gate consisting of the input
strand (I), threshold strand (TS), and threshold gate. The input strand
(I) is used by the gate twice, and the gate is activated only when
the input strand (I) concentration is twice as high as that of threshold
gate.
Figure 9
(A) Two-input AND gate. (B) Threshold gate and signal amplification.
The basic setup of seesaw gates; seesawing (C) and thresholding (D).
(A) Two-input AND gate. (B) Threshold gate and signal amplification.
The basic setup of seesaw gates; seesawing (C) and thresholding (D).Much more complex circuits capable
of computation far beyond simple
logical decision making have also been constructed. Recently, Qian
and Winfree developed a scalable DNA circuit with a simple entropy-driven
seesaw gate.[13] Seesaw gates are similar
to other entropy-driven circuits (Figure 2B)
but are more scalable. In this reversible reaction (Figure 9C), an input strand binds to the seesaw gate via
the active toehold site (T*), releasing an output strand by toehold-mediated
strand displacement. The resulting input strand/seesaw strand complex
has a newly activated toehold site (T*), which is identical to the
previous toehold. Therefore, the released output strand can potentially
rehybridize to the substrate complex and compete with the input strand.
This reversible “seesaw” reaction can be readily tuned,
and by adjusting the sequences (and therefore the connectivities)
of inputs and outputs, multiple seesaw gates could be readily wired
into more complex circuits. The inclusion of a fuel strand for every
gate engendered catalysis and amplification and again suppressed background
noise by signal restoration via thresholding followed by signal amplification.Large seesaw networks can be easily constructed that at their root
consist of three basic reactions: seesawing, thresholding (Figure 9D), and reporting.[13] Thresholding
occurs by modulating toehold-mediated strand displacement rates with
different length toeholds. An additional threshold gate is introduced,
and the length of the toehold interaction for the threshold gate is
made longer than was the case for the seesaw gate. This longer toehold
interaction exponentially increases the toehold-mediated strand displacement
rate, leading to the seesawing reaction occurring only when the number
of output strands exceeds the number of threshold gates. Scale up
of DNA circuits has been successfully demonstrated by showing a four-bit
square-root circuit that comprises 130 DNA strands and by mimicking
neural network computation.[15]The
great advantage of seesaw gates is their simplicity, which
allows multiple gates to be prepared in parallel and to be wired to
one another in a variety of configurations. However, one drawback
to these computational approaches is that the gates are currently
built from multistranded DNA complexes, making it more difficult to
synthesize and purify components. This drawback may be particularly
pronounced for nucleic acid diagnostics, which often have to be very
robust for manufacturing and pricing.
Conclusions
and Prospects
We can now compare and contrast the different
nucleic acid amplifiers
(Table 1). Each circuit has unique features
and drawbacks, but this table should assist in identifying features
that can be most readily used for different analytes, sensor modalities,
or applications.
Table 1
Amplifier Circuits
category
EDC
CHA
HCR
circuit
structure
multimolecular hemiduplexes
unimolecular hairpin
unimolecular hairpin
recycled component
input
input
nothing (alternating hybridization between H1 and H2)
design flexibility
easy (linear, cascade,
exponential)
moderate (linear, cascade)
difficult (linear)
fold-amplification
4–5/h
20–50/h
2–5/h
output type
independent ssDNA
dangled ssDNA on H1/H2 complex
assembled concatemer
connectivity
good
moderate
poor
signal leakage
relatively high
low
low
application type
solution-based
solution-based
surface-based
Nucleic acid amplifier
circuits such as EDC, CHA, and HCR show
high sensitivity and specificity and can be readily programmed and
adapted to different applications. They are particularly useful at
background suppression and noise abatement (via thresholding), including
for use in real-time applications. The prospect now exists for more
complex circuits to act as self-contained diagnostics. It is entirely
possible that into the future molecular circuitry will make decisions
on the fly that reconfigure the diagnostic device or lead to new treatment
options. Indeed, as DNA circuits become ever more complex, there will
likely come a point at which methods, devices, and platforms begin
to be adapted to it rather than the other way around. A future in
which DNA “software engineers” help to establish newer
generations of analytical “hardware” may mimic the current
state of the electronics industry.
Authors: Jin Huang; Yanrong Wu; Yan Chen; Zhi Zhu; Xiaohai Yang; Chaoyong James Yang; Kemin Wang; Weihong Tan Journal: Angew Chem Int Ed Engl Date: 2011-01-10 Impact factor: 15.336
Authors: Suvir Venkataraman; Robert M Dirks; Paul W K Rothemund; Erik Winfree; Niles A Pierce Journal: Nat Nanotechnol Date: 2007-07-29 Impact factor: 39.213
Authors: Harry M T Choi; Colby R Calvert; Naeem Husain; David Huss; Julius C Barsi; Benjamin E Deverman; Ryan C Hunter; Mihoko Kato; S Melanie Lee; Anna C T Abelin; Adam Z Rosenthal; Omar S Akbari; Yuwei Li; Bruce A Hay; Paul W Sternberg; Paul H Patterson; Eric H Davidson; Sarkis K Mazmanian; David A Prober; Matt van de Rijn; Jared R Leadbetter; Dianne K Newman; Carol Readhead; Marianne E Bronner; Barbara Wold; Rusty Lansford; Tatjana Sauka-Spengler; Scott E Fraser; Niles A Pierce Journal: Development Date: 2016-10-01 Impact factor: 6.868
Authors: Aruni P K K Karunanayake Mudiyanselage; Qikun Yu; Mark A Leon-Duque; Bin Zhao; Rigumula Wu; Mingxu You Journal: J Am Chem Soc Date: 2018-07-09 Impact factor: 15.419
Authors: Aruni P K K Karunanayake Mudiyanselage; Rigumula Wu; Mark A Leon-Duque; Kewei Ren; Mingxu You Journal: Methods Date: 2019-01-17 Impact factor: 3.608