Serena Gentile1, Erica Del Grosso1, Passa E Pungchai2, Elisa Franco3, Leonard J Prins4, Francesco Ricci1. 1. Department of Chemistry, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy. 2. Department of Bioengineering, University of California at Los Angeles, 410 Westwood Plaza, Los Angeles, California 90095, United States. 3. Department of Mechanical and Aerospace Engineering and of Bioengineering, University of California at Los Angeles, 420 Westwood Plaza, Los Angeles, California 90095, United States. 4. Department of Chemical Sciences, University of Padua, Via Marzolo 1, 35131 Padua, Italy.
Abstract
We demonstrate a strategy that allows for the spontaneous reconfiguration of self-assembled DNA polymers exploiting RNA as chemical fuel. To do this, we have rationally designed orthogonally addressable DNA building blocks that can be transiently deactivated by RNA fuels and subtracted temporarily from participation in the self-assembly process. Through a fine modulation of the rate at which the building blocks are reactivated we can carefully control the final composition of the polymer and convert a disordered polymer in a higher order polymer, which is disfavored from a thermodynamic point of view. We measure the dynamic reconfiguration via fluorescent signals and confocal microscopy, and we derive a kinetic model that captures the experimental results. Our approach suggests a novel route toward the development of biomolecular materials in which engineered chemical reactions support the autonomous spatial reorganization of multiple components.
We demonstrate a strategy that allows for the spontaneous reconfiguration of self-assembled DNA polymers exploiting RNA as chemical fuel. To do this, we have rationally designed orthogonally addressable DNA building blocks that can be transiently deactivated by RNA fuels and subtracted temporarily from participation in the self-assembly process. Through a fine modulation of the rate at which the building blocks are reactivated we can carefully control the final composition of the polymer and convert a disordered polymer in a higher order polymer, which is disfavored from a thermodynamic point of view. We measure the dynamic reconfiguration via fluorescent signals and confocal microscopy, and we derive a kinetic model that captures the experimental results. Our approach suggests a novel route toward the development of biomolecular materials in which engineered chemical reactions support the autonomous spatial reorganization of multiple components.
Life is a nonequilibrium
state of matter that is maintained at
the expense of energy.[1] Energy consumption
allows the operation of molecular pumps[2,3] and motors[4] and drives the formation of self-assembled high-energy
structures.[5,6] A common fundamental element of these living
biomolecular systems is that their operation is governed by kinetics
rather than thermodynamics.[7,8] This aspect has recently
spurred the development of chemical systems that are likewise controlled
by kinetic processes[9−15] as an important stepping stone toward the development of synthetic
materials with life-like properties.[16,17] This trend
is particularly evident in the synthesis of biomaterials designed
to self-assemble from nanometer sized building blocks. Whereas traditionally
the focus has been on the assembly product with the highest thermodynamic
stability,[18] recently it has been shown
that different kinetic products can be selectively obtained from the
same building blocks by carefully designing the supramolecular kinetic
pathways leading to their formation.[19,20] However, in
these systems transitions between different kinetic states can occur
only if these are energetically downhill, and furthermore, the systems
are destined to eventually progress toward the thermodynamically most
stable state after which they cannot be reactivated. These limitations
can be overcome by using chemical fuels to kinetically control the
self-assembly processes: specifically, building blocks for self-assembly
are activated or deactivated by reactions requiring chemical fuel.[21,22] This means introducing chemically distinct, transient pathways to
regulate the activity of building blocks via batchwise addition of
fuel.We and others have recently shown that DNA offers tremendous
opportunities
in the field of chemically fueled self-assembly[23−28] because (1) hybridization and strand exchange reactions are highly
predictable from both a thermodynamic and kinetic point of view, (2)
a myriad of enzymes are available to regulate nucleic acid fuel-to-waste
conversion with high efficiency and selectivity, and (3) the multivalent
nature of DNA hybridization generates a high tolerance to waste accumulation.
These properties have been used to establish methods to transiently
assemble and disassemble polymeric DNA structures, for example, as
a result of enzymatic RNA production to activate components and promote
their assembly and RNA degradation to cause the assemblies to collapse.[25−27,39] Similarly, spontaneous DNA polymer
assembly and disassembly can be achieved by using DNA nicking and
ligation reactions.[29]Another major
advantage of DNA is that careful sequence design
makes it possible to program distinct pathways that may be functionally
or structurally similar but are individually addressable and operate
orthogonally. This feature allows for the assembly of diverse components
each responding to specific inputs or reactions; for example, different
populations of DNA polymeric structures can be built, broken up, and
reorganized by specific inputs that are provided sequentially to carry
out these steps.[26,35] The introduction of chemically
fueled reactions in these multicomponent systems could support the
synthesis of supramolecular materials that spontaneously control their
organization.Motivated by the above considerations, here we
engineer a DNA polymeric
system consisting of multiple, distinct assembling units (tiles),
each of which controlled by distinct RNA fuels. The system takes advantage
of the kinetics of enzymatic degradation of these RNA fuel species
to determine the supramolecular organization of the units and induce
a transition from disordered polymers into higher order polymers.
This transition is autonomous and reversible. Our strategy allows
us to shuttle the system in a controlled fashion between different
kinetic states just by adding the appropriate RNA fuel and it permits
the population of an energetically uphill state, which is entropically
disfavored.
Results and Discussion
To demonstrate the RNA-fueled
reorganization of DNA-based polymers,
we adopted the well-characterized double-crossover DNA tile, known
as DAE-E.[30−32] The tiles are formed through the interaction of five
unique DNA strands and contain four sticky ends (5-nt each) (Figure a) that enable their
self-assembly into tubular structures with an average diameter of
13.5 nm, 6–8 tiles along the circumference, and a persistence
length of 4 μm (Figure b).[32,33,26] The DNA tiles also contain a 7-nt binding domain that acts as an
anchoring site for the binding of a 14-nt RNA strand (here termed
fuel) capable of invading one sticky end portion and induce the complete
disassembly of the tubular structure (Figure a–c and Figure S1).[26,34] When the RNA fuel is bound to
the complementary domain on the DNA tile, this RNA/DNA heteroduplex
can be specifically recognized by the enzyme RNase H, an endoribonuclease
enzyme able to selectively hydrolyze the RNA strand in the heteroduplex
(Figure c and Figure S1). This enzymatic degradation of the
RNA fuel reactivates the DNA tiles, which can reassemble into a new
tubular structure (Figure and Figure S1).
Figure 1
Spontaneous self-assembly
and disassembly of DNA-based polymers
triggered by RNA fuels. (a) DNA tile containing 5-nt sticky ends (red
domains) and a fuel binding domain (light red domain). (b) DNA tile
is pictured as a LEGO-like brick (knobs and holes represent the four
sticky ends). The DNA tile self-assembles at room temperature into
hollow tubular polymeric structures.[32,33,26] (c) The RNA fuel (light red) invades the tiles leading
to the disassembly of the polymeric structures. A fuel-consuming unit
(RNase H) selectively degrades the RNA fuel when bound to the DNA
tile inducing tile reactivation over time and reassembly of the DNA-based
polymer.
Spontaneous self-assembly
and disassembly of DNA-based polymers
triggered by RNA fuels. (a) DNA tile containing 5-nt sticky ends (red
domains) and a fuel binding domain (light red domain). (b) DNA tile
is pictured as a LEGO-like brick (knobs and holes represent the four
sticky ends). The DNA tile self-assembles at room temperature into
hollow tubular polymeric structures.[32,33,26] (c) The RNA fuel (light red) invades the tiles leading
to the disassembly of the polymeric structures. A fuel-consuming unit
(RNase H) selectively degrades the RNA fuel when bound to the DNA
tile inducing tile reactivation over time and reassembly of the DNA-based
polymer.For this study, we developed a
set of two orthogonally addressable
tiles (red, R, and green, G) that have the same sticky ends but differ
in the fuel-binding domain,[35] so that each
tile type can be recognized by a specific RNA fuel (red, R, and green,
G). To independently monitor the assembly of each tile type, we labeled
one of their strands with different fluorescent dyes (Quasar570 for
the red tiles and Quasar670 for the green tiles) (Figure a). The combined use of both
tiles for self-assembly can lead to different polymers depending on
the organization of the tiles: homopolymers are structures that consist
of one type of tile, block copolymers contain segments of tiles of
the same type, and in random copolymers the two tiles are randomly
distributed. Although the identical sticky ends in both tiles ensure
that the enthalpy of formation is the same for all structures, from
an entropic point of view the formation of ordered structures (homopolymers
and block copolymers) is disfavored compared to the disordered random
copolymer. Therefore, the homopolymers and block copolymers can be
considered as kinetic products of the self-assembly process as opposed
to the random copolymer, which is the thermodynamic product.In a first series of experiments we demonstrate that homopolymers
can be converted to random copolymers with tunable speed (Figure and Figure S2). When annealed separately, red and
green tiles assemble into homopolymers that remain stable when mixed
together even in the presence of RNase H (Figure S3). The addition of the red and green RNA fuels induces the
rapid disassembly of both polymers (no structures observed after 1
min, Figure a,b).
The enzymatic degradation of the two fuels by RNase H (30 U/mL), however,
gradually reactivates the DNA tiles for assembly, but now yielding
a tubular structure with both tiles randomly distributed in the assembly
(i.e., random R/G copolymer, Figure a,b). To quantitatively characterize the spatial localization
of distinct tiles in the polymers, we analyzed fluorescence microscopy
images of our samples and computed their Pearson’s coefficient
(PC), a parameter that estimates the strength of the linear relationship
between the fluorescence intensity values of red and green areas:
PC values around 0 would indicate low colocalization of fluorophores,
while PC values around 1 would indicate high colocalization.[36,37] For the solution containing homopolymers, we computed a PC of 0.03
± 0.01, which is in support of a very limited colocalization
of the two tiles. In contrast, random copolymers obtained after addition
and degradation of the two fuel strands yield a PC value (0.70 ±
0.04) indicating that mixing of the two tiles has occurred.
Figure 2
(a) Reorganization
from red and green homopolymers to a random
(R/G) copolymer driven by RNA fuels. (b) Fluorescence confocal images
showing the disassembly of the red (R) and green (G) homopolymers
upon the addition of both RNA fuels (R, G) and the autonomous reassembly
into R/G random copolymers in the presence of RNase H. Confocal images
scale bar, 2.5 μm. (c) Kinetic traces showing autonomous reassembly
of R/G random copolymers (average length, ⟨L⟩) upon the addition of different concentrations of (R, G)
RNA fuels. (d) Average length and Pearson’s coefficient values
of reassembled R/G random copolymers after 6 h from fuels addition.
Statistical analysis of length distribution is also shown in Figure S5. [tile R] = [tile G] = 0.15 μM,
[RNase H] = 30 U/mL, 1 × TAE buffer + 12.5 mM MgCl2 + 10 mM DTT, pH 8.0, 25 °C. Error bars represent standard deviation
based on triplicate measurements.
(a) Reorganization
from red and green homopolymers to a random
(R/G) copolymer driven by RNA fuels. (b) Fluorescence confocal images
showing the disassembly of the red (R) and green (G) homopolymers
upon the addition of both RNA fuels (R, G) and the autonomous reassembly
into R/G random copolymers in the presence of RNase H. Confocal images
scale bar, 2.5 μm. (c) Kinetic traces showing autonomous reassembly
of R/G random copolymers (average length, ⟨L⟩) upon the addition of different concentrations of (R, G)
RNA fuels. (d) Average length and Pearson’s coefficient values
of reassembled R/G random copolymers after 6 h from fuels addition.
Statistical analysis of length distribution is also shown in Figure S5. [tile R] = [tile G] = 0.15 μM,
[RNase H] = 30 U/mL, 1 × TAE buffer + 12.5 mM MgCl2 + 10 mM DTT, pH 8.0, 25 °C. Error bars represent standard deviation
based on triplicate measurements.The speed of reconfiguration from homo to random copolymers can
be modulated by varying the concentration of RNA fuel in solution
(Figure c and Figure S2). To show this, we performed fluorescence
confocal microscopy experiments that track over time the transition
of red and green homopolymers into random R/G copolymers. Experiments
were performed at different concentrations of red and green RNA fuels
(Figure c, Figures S2 and S4) but at the same fixed concentration
(30 U/mL) of fuel-consuming unit (i.e., RNase H). For lower fuel concentrations
(i.e., 0.3 and 1 μM) the time required to complete the reconfiguration
is in the order of few minutes (Figure c,d, and Figure S4). Of
note, despite the different reconfiguration kinetics, similar average
length values are obtained at 24 h after fuel addition attributed
to the fact that the enzymatic reaction has reached completion (Figure c). Moreover, because
the enzymatic degradation kinetics is similar for the two different
fuels, a similar level of colocalization (i.e., average Pearson’s
coefficient values = 0.80 ± 0.05) is observed at all times and
over the entire fuel concentration range studied (Figure d).A key element of
our approach is that by supplying specific fuel
molecules and by regulating their degradation rate—which is done by simply varying the
amount of RNase H—it is possible to temporarily exclude specific
tiles from participating in the self-assembly process. This feature
can be used to route multiple polymers reconfiguration pathways and
to control their kinetics. For example, starting from random copolymers,
the addition of a single RNA fuel will cause a single tile to become
inactive, while the other type of tile can reassemble. Depending on
how fast the inactive tile is reactivated by RNA degradation, the
system is qualitatively expected to yield homopolymers, block, or
random copolymers respectively for a degradation rate that is slow,
medium, or fast in relation to the rate of tile assembly (Figure a). Importantly,
of these transitions in particular the transition from random to block
copolymer is of interest as it implies the fuel-triggered population
of an entropically disfavored state.
Figure 3
(a) DNA polymers reorganization at different
fuel degradation rates.
(b) Half-time of RNA fuel at different fuel-consuming unit (RNase
H) concentrations. The experiment was performed in the presence of
0.25 μM of F-Q DNA strand and 3 μM of RNA fuel (R). (c)
Kinetic traces showing the transient reassembly of inactive DNA tiles
by varying the concentration of RNase H. The experiment was performed
in the presence of 0.25 μM of red (R) homopolymers inactivated
by 3 μM of RNA fuel (R) or 3 μM of control DNA Inhibitor
(R). Statistical analysis of length distribution (after 6 h) is also
shown in Figure S14. (d) Fluorescence confocal
images upon the addition of red RNA fuel at different concentrations
of RNase H (1, 10, and 100 U/mL). The average length (⟨L⟩/μM) of the structures obtained for each
channel (red, R, green, G, and merged, M) after the 24 h reconfiguration
is also shown in the bar plot. For the block copolymers each bar column
(red and green) represents the average length of each block segment.
[tile R] = [tile G] = 0.25 μM, [R fuel] = 3 μM, 1 ×
TAE buffer + 12.5 mM MgCl2 + 10 mM DTT, pH 8.0, 25 °C.
Confocal images scale bar: 2.5 μm. Error bars represent standard
deviation based on triplicate measurements.
(a) DNA polymers reorganization at different
fuel degradation rates.
(b) Half-time of RNA fuel at different fuel-consuming unit (RNase
H) concentrations. The experiment was performed in the presence of
0.25 μM of F-Q DNA strand and 3 μM of RNA fuel (R). (c)
Kinetic traces showing the transient reassembly of inactive DNA tiles
by varying the concentration of RNase H. The experiment was performed
in the presence of 0.25 μM of red (R) homopolymers inactivated
by 3 μM of RNA fuel (R) or 3 μM of control DNA Inhibitor
(R). Statistical analysis of length distribution (after 6 h) is also
shown in Figure S14. (d) Fluorescence confocal
images upon the addition of red RNA fuel at different concentrations
of RNase H (1, 10, and 100 U/mL). The average length (⟨L⟩/μM) of the structures obtained for each
channel (red, R, green, G, and merged, M) after the 24 h reconfiguration
is also shown in the bar plot. For the block copolymers each bar column
(red and green) represents the average length of each block segment.
[tile R] = [tile G] = 0.25 μM, [R fuel] = 3 μM, 1 ×
TAE buffer + 12.5 mM MgCl2 + 10 mM DTT, pH 8.0, 25 °C.
Confocal images scale bar: 2.5 μm. Error bars represent standard
deviation based on triplicate measurements.As these reconfiguration pathways critically depend on enzyme speed,
we first determined the kinetics of fuel degradation by RNase H. We
studied this via time-course experiments with an RNA fuel (3 μM)
hybridized to a fluorescent-labeled DNA strand (0.25 μM), following
the fluorescent signal after the addition of different concentrations
of RNase H (Figure b and Figure S6). The half-time of RNA
fuel degradation increases from 3.5 to 160 min as the concentration
of RNase H decreases from 100 to 5 U/mL (Figure b). These results are reproduced by using
a simple ordinary differential equation (ODE) model that captures
hybridization of the RNA fuel and a dual-labeled DNA probe and RNase
H degradation. By fitting the model (Figures S7 and S8) to the data, we found hybridization and enzyme kinetic
parameters comparable with previous estimates in the literature.[38,39]Next, we asked whether we could control the rate of tile assembly
(into homopolymers) in the range of RNase H concentrations considered
for the duplex control experiments (100–5 U/mL). Using a computational
model for tile assembly in the presence of RNA fuel and RNase H, we
found that the half-time for assembling 0.25 μM tiles can be
tuned between a few minutes at 100 U/mL RNase H and more than 10 h
at 1 U/mL (Figures S9 and S10). It should
be noted that this unfitted model underestimates the kinetics of nanotube
growth because it captures the process of tile assembly but does not
model the average nanotube length and how it is affected by slower
joining and ripening.[31] In addition, the
model does not take into account incomplete RNA degradation products
that may slow down tile assembly.[25] Yet,
these predictions suggest that RNase H level in the range 1–100
U/mL can yield dramatically different kinetics of tile assembly. This
expectation is met by experiments in which we measured the mean nanotube
length when tiles are reactivated by RNase H: at high levels of RNase
H (100 U/mL) tiles reactivate fast, with nanotubes reaching their
half-max length in t1/2 = 32 min, a time
scale that is comparable to that achieved by adding a DNA activator
that removes the fuel from tiles through a strand displacement reaction
(Figure c, Figures S11 and S12).[34,26] Under these conditions, the tubular structure mean length levels
off after only 4 h. At medium RNase H levels (10 U/mL), tiles reactivation
is slower (t1/2 = 253 min), and the nanotube
mean length levels off after 24 h. Finally, at low levels of RNase
H (1 U/mL), tubular structures start forming after more than 48 h,
and we did not observe significant growth over the course of our experiment
(likely due to loss of enzyme activity) (Figure S13).Having identified levels of RNase H that yield
slow, medium, and
fast tile reassembly, we sought to demonstrate kinetically controlled
reconfiguration using the corresponding three RNase H concentrations
(1, 10, and 100 U/mL). To do so, we started from random R/G copolymers,
obtained by mixing in the same solution green and red active tiles.
The addition of only the red RNA fuel results in the rapid disassembly
of the whole structure under all the experimental conditions tested.
This is due to the fact that the red and green tiles are randomly
distributed in the tubular structure, and the fuel-triggered deactivation
of one tile induces the collapse of the entire structure.[35] At a slow fuel degradation rate the reactivation
of red tiles is not achieved over the 24 h course of the experiment,
and thus the disassembled green tiles that remain in solution in an
active conformation spontaneously reassemble into the green homopolymer
(Figure d). At medium
fuel degradation rate, formation of the green homopolymer is still
faster than the activation of the red tiles, so red polymers self-assemble
at the two ends of the green homopolymers, leading to an ordered block
copolymer (Figure d). It should be noted that the process of block copolymers formation
is not deterministic and could lead to different types of block polymers
(RG or RGR). Finally, at fast fuel degradation rate, the red tiles
are rapidly activated soon after fuel addition and coassemble together
with the green tiles to re-form random polymers. Statistical analysis
of the microscopy images confirms the modulation of the transient
reconfiguration achieved at different concentrations of enzyme (Figure d, bar plot). For
example, the average length (⟨L⟩) of
the tubes formed after reconfiguration at a medium fuel degradation
rate appears similar for the green and red tubes. However, the yield
of randomly distributed random structures (observed with the merged
channel, M) is quite low (PC = 0.40 ± 0.03). On the contrary,
at fast fuel degradation rate the average length of both green and
red structures is very similar to that of the random R/G structures
(see M channel length), and Person’s coefficient (PC = 0.80
± 0.06) confirms the random distribution of tiles.The
fuel-triggered polymers reorganization is fully reversible
and can be repeated multiple times by sequentially supplying fuel
molecules over time. To demonstrate this, we have started with a solution
containing two separate red and green homopolymers (PC = 0.02 ±
0.01) and an RNase H concentration to install medium fuel-degradation.
Upon the addition of both fuels we observed the rapid disassembly
and, after fuels degradation, the reassembly of the structures into
random copolymers (as both fuels are degraded at the same rate) (PC
= 0.80 ± 0.06) (Figure a,b). The addition of a new aliquot of only the green fuel
to the same solution induces the disassembly of the entire structure
(as discussed previously). However, since the red tiles remain active,
they self-assemble into red homopolymers, and only after green fuel
degradation we observe the formation of block copolymers (PC = 0.50
± 0.02) (Figure a,b). In the last reaction cycle, we have then added a new aliquot
of both fuels (red and green) and achieved another reorganization
back into the random structures (PC = 0.80 ± 0.01) (Figure a,b). Also in this
case, the analysis of the confocal images in terms of average length
of green (G channel), red (R channel), and random (merged, M, channel)
structures (Figure c) and PC values supports the described reconfiguration.
Figure 4
(a) Multiple
reorganization cycles of DNA polymers upon the repetitive
additions of different RNA fuels. (b) Fluorescence confocal images
after each reorganization cycle. (c) Average length values of DNA-based
polymers before and after each cycle of reconfiguration obtained for
each channel (red, R, green, G, and merged, M). For the block copolymers
each bar column (red and green) represents the average length of each
block segment. The experiments here were performed in the presence
of 0.15 μM of preformed red (R) and green (G) homopolymers.
First and third reconfigurations were obtained by adding both red
and green fuels (0.3 μM). The second reconfiguration was obtained
by adding only the green fuel (1.0 μM). Experiments performed
in 1 × TAE buffer + 12.5 mM MgCl2 + 10 mM DTT + 30
U/mL RNase H, pH 8.0, 25 °C. Confocal images scale bar: 2.5 μm.
Error bars represent standard deviation based on triplicate measurements.
(a) Multiple
reorganization cycles of DNA polymers upon the repetitive
additions of different RNA fuels. (b) Fluorescence confocal images
after each reorganization cycle. (c) Average length values of DNA-based
polymers before and after each cycle of reconfiguration obtained for
each channel (red, R, green, G, and merged, M). For the block copolymers
each bar column (red and green) represents the average length of each
block segment. The experiments here were performed in the presence
of 0.15 μM of preformed red (R) and green (G) homopolymers.
First and third reconfigurations were obtained by adding both red
and green fuels (0.3 μM). The second reconfiguration was obtained
by adding only the green fuel (1.0 μM). Experiments performed
in 1 × TAE buffer + 12.5 mM MgCl2 + 10 mM DTT + 30
U/mL RNase H, pH 8.0, 25 °C. Confocal images scale bar: 2.5 μm.
Error bars represent standard deviation based on triplicate measurements.A similar efficient reversibility in successive
reconfigurations
was also observed by repetitive additions of the red and green fuels
(Figure S15), leading to transient disassembly
and formation of random R/G structures with average length and PC
values indistinguishable from one another over three consecutive reaction
cycles (PC24h = 0.80 ± 0.03, PC48h = 0.90
± 0.01, and PC72h = 0.80 ± 0.03).Finally,
to demonstrate the versatility of our approach and to
show that the strategy can also function in systems of higher complexity,
we have also performed preliminary studies employing three orthogonal
tiles (red, green, and blue) addressable with three different fuel
RNA strands and each labeled with a different fluorophore. Also in
this case, spontaneous reorganization can be achieved by starting
from a mixture of the three homopolymers and adding all three fuel
RNA strands leading to the transient disassembly of all structures
and the concomitant activation of the three tiles that self-assemble
into a random polymer with a statistical distribution of the three
tiles. The reaction cycle also in this case is reversible, leading
to similar lengths of the assembled random polymers over two consecutive
additions of fuels (Figure S16).
Conclusion
We have shown a new strategy that allows the chemically fueled
spontaneous reconfiguration of self-assembled DNA polymers. The strategy
relies on the transient deactivation of building blocks by RNA fuels
that subtract them temporarily from participation in the self-assembly
process. By simply controlling the rate at which the building blocks
are reactivated, it is possible to determine the composition of the
polymer. Importantly, we have shown a mechanism to use RNA fuels and
enzymes that degrade them to induce the spontaneous conversion of
a disordered polymer into a higher order polymer, which is disfavored
from a thermodynamic point of view. Similar reorganization mechanisms
could be applied to other DNA-based structures that are assembled/disassembled
under isothermal conditions by using different inputs.[40−44]Considering the possibility to introduce multiple, sequence
distinct
fuel-recognition sites, and the possibility to decorate the polymer
building-blocks with different functional ligands, we anticipate that
this strategy will be useful for the development of multifunctional
systems in which the output is determined by the relative organization
of the functional groups in the polymer. The reorganization of different
biomolecules attached on a cargo-delivery DNA structure[45−47] could, for example, lead to a different targeting ability of the
structure itself. Similarly, the possibility to control the distribution
of metal particles could yield DNA structure with reconfigurable optical
properties.[48,49]
Authors: Paul W K Rothemund; Axel Ekani-Nkodo; Nick Papadakis; Ashish Kumar; Deborah Kuchnir Fygenson; Erik Winfree Journal: J Am Chem Soc Date: 2004-12-22 Impact factor: 15.419
Authors: Felix J Rizzuto; Casey M Platnich; Xin Luo; Yao Shen; Michael D Dore; Christophe Lachance-Brais; Alba Guarné; Gonzalo Cosa; Hanadi F Sleiman Journal: Nat Chem Date: 2021-08-09 Impact factor: 24.427
Authors: Erica Del Grosso; Alessia Amodio; Giulio Ragazzon; Leonard J Prins; Francesco Ricci Journal: Angew Chem Int Ed Engl Date: 2018-05-02 Impact factor: 15.336
Authors: Leopold N Green; Alessia Amodio; Hari K K Subramanian; Francesco Ricci; Elisa Franco Journal: Nano Lett Date: 2017-11-28 Impact factor: 11.189