C P Howe1, G M Greetham2, B Procacci1, A W Parker2, N T Hunt1. 1. Department of Chemistry and York Biomedical Research Institute, University of York, Heslington, York YO10 5DD, U.K. 2. Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Oxford, Didcot, Oxon OX11 0QX, U.K.
Abstract
Determining the structural dynamics of RNA and DNA is essential to understanding their cellular function, but direct measurement of strand association or folding remains experimentally challenging. Here we illustrate a temperature-jump/drop method able to reveal refolding dynamics. Time-resolved temperature-jump/drop infrared spectroscopy is used to measure the melting and refolding dynamics of a 12-nucleotide RNA sequence comprising a UACG tetraloop and a four-base-pair double-stranded GC stem, comparing them to an equivalent DNA (TACG) sequence. Stem-loop melting occurred an order of magnitude more slowly in RNA than DNA (6.0 ± 0.1 μs versus 0.8 ± 0.1 μs at 70 °C). In contrast, the refolding dynamics of both sequences occurred on similar time scales (200 μs). While the melting and refolding dynamics of RNA and DNA hairpins both followed Arrhenius temperature dependences, refolding was characterized by an apparent negative activation energy, consistent with a mechanism involving multiple misfolded intermediates prior to zipping of the stem base pairs.
Determining the structural dynamics of RNA and DNA is essential to understanding their cellular function, but direct measurement of strand association or folding remains experimentally challenging. Here we illustrate a temperature-jump/drop method able to reveal refolding dynamics. Time-resolved temperature-jump/drop infrared spectroscopy is used to measure the melting and refolding dynamics of a 12-nucleotide RNA sequence comprising a UACG tetraloop and a four-base-pair double-stranded GC stem, comparing them to an equivalent DNA (TACG) sequence. Stem-loop melting occurred an order of magnitude more slowly in RNA than DNA (6.0 ± 0.1 μs versus 0.8 ± 0.1 μs at 70 °C). In contrast, the refolding dynamics of both sequences occurred on similar time scales (200 μs). While the melting and refolding dynamics of RNA and DNA hairpins both followed Arrhenius temperature dependences, refolding was characterized by an apparent negative activation energy, consistent with a mechanism involving multiple misfolded intermediates prior to zipping of the stem base pairs.
Ribonucleic
acid (RNA) sequences
and their deoxy counterparts (DNA) are fundamental to the storage,
regulation, and expression of genetic information in organisms. Revealing
the underlying molecular mechanisms is central to our understanding
of biological processes as well as supporting development of new chemical
and biomedical technologies, such as nucleic acid aptamers and antisense
therapeutics.While the structures of nucleic acid sequences
are well understood,
the dynamic fluctuations and interactions within and between nucleic
acid strands in solution remain a source of uncertainty. Insights
have been gained by nonequilibrium temperature jump (T-jump) spectroscopy
experiments, which induce a rapid rise in temperature as a means to
initiate and follow conformational changes in real time.[1−10] T-jump methods have been used to investigate the impact of a number
factors upon nucleic acid dynamics, including base sequence, chain
length, and the presence of small molecule ligands.[1−3,5,6] Typically, T-jump studies
employ fast (nanosecond) initiation, but the samples cool on multi-millisecond
time scales. The latter are too slow to observe refolding directly,
meaning that refolding (association) rates have to be inferred from
two state models linking the dissociation rate to the equilibrium
constant.[5,7] Here, we demonstrate an approach that exploits
a much faster sample cooling time to enable observation of both the
melting and refolding dynamics of nucleic acid tetraloop hairpins
following T-jump initiation.To date, much emphasis has been
placed upon elucidating the dynamics
of double-stranded DNA,[1−6,10] but RNA demonstrates greater
complexity in the biological setting due to its propensity to exist
as single strands that fold into functional three-dimensional structures.
Hairpins, consisting of a Watson–Crick base paired stem and
a single-stranded loop, are among the most common RNA structural motifs,
occurring in a range of prokaryotic and eukaryotic RNAs.[11] Tetraloops in particular provide nucleation
sites for folding and recognition sites for RNA binding proteins.[12,13] The two most common loop motifs are GNRA and UNCG, where R = purine
and N = any nucleotide.[12] The latter are
more thermodynamically stable, displaying melting points some 20 °C
higher than other sequences, whereas the former are more prevalent,
participating in tertiary interactions and protein recognition.[12]The melting characteristics of UNCG loops
have been determined
previously by static spectroscopy experiments,[14,15] but the folding dynamics have yet to be resolved. To address this
important issue, we combine a nanosecond T-jump, to initiate melting,
with a subsequent sample cooling rate that is fast enough to allow
observation of strand refolding. Faster cooling is achieved using
a thin cell to enhance heat transfer. Using IR spectroscopy as a probe
of vibrational modes of the nucleic acid bases provides real-time
insight into stem base pairing and stacking. Although DNA tetraloops
are not known biologically, comparing RNA tetraloop dynamics with
those of an analogous DNA sequence reveals inherent differences between
molecules with overtly similar molecular structures.The salt-free,
lyophilized DNA and RNA oligomer sequences 5′-GCGC(XACG)GCGC-3′
(RNA: X = U; DNA: X = T; “(...)” indicates the loop
position) were purchased from Eurogentec. Other chemicals were purchased
from Sigma-Aldrich and used without modification. The GCGC stem sequence
of the tetraloops was chosen to minimize base pair slippage. The reduction
in the molar extinction coefficient of the guanine ring vibrational
mode (GR) observed at 1575 cm–1 upon
base stacking provided a spectral marker for stem melting and reassociation.[1−4,16−20]All DNA and RNA samples were prepared to a
strand concentration
of 10 mM, which is below the threshold for duplex formation, in 1
M deuterated phosphate buffer (pD 6.8).[15] For all spectroscopy measurements a 15–20 μL aliquot
was placed in a temperature-controlled cell (Harrick, ±1 °C)
equipped with CaF2 windows. A 50 μm PTFE spacer defined
the path length for IR absorption measurements while a 12 μm
path length was used for T-jump experiments.IR absorption spectra
were measured using a Bruker Vertex 70 Fourier
transform (FT)-IR spectrometer. The T-jump measurements were performed
using the STFC Central Laser Facility’s ULTRA spectrometer.[1,21,22] Briefly, a 4 ns duration T-jump
pump pulse (125 Hz), generated by a Nd:YAG-pumped OPO, centered at
2750 cm–1, resonant with the high-frequency wing
of the OD-stretching vibration of the solvent initiated a T-jump of
10 °C in the sample (averaged across the sample), as determined
by trifluoroacetic acid (TFA) calibration.[1,21,22] A series of probe pulses centered at 1650
cm–1 (bandwidth: 300 cm–1) generated
by a Ti:sapphire-pumped OPA (10 kHz) with difference frequency mixing
of signal and idler were used to capture the nanosecond to millisecond
nucleic acid dynamics using the time-resolved multiple probe (TRMPS)
method.[1,21,22] Data were
collected at T-jump-probe time delays from 1 ns to 8 ms, though the
cooling of the sample was complete by 4 ms (vide infra) such that
data obtained at time delays from 4 to 8 ms were used for background
correction.[1]Infrared absorption
spectroscopy showed that increasing the temperature
of the RNA hairpin sample from 20 to 80 °C under equilibrium
(non T-jump) conditions induced changes in band position and intensity
across the 1550–1700 cm–1 region that are
broadly similar to those observed for DNA samples (Figures a,b and S1). The temperature-induced spectral changes are represented
as difference spectra relative to the 20 °C measurement. By comparison
with previous work the changes in this spectral region can be assigned
to the melting of double-stranded GC-rich nucleic acids.[16] We will focus on the guanine ring vibrational
mode (GR) at 1575 cm–1 (purple panels
in Figures and S1). This band increases markedly in intensity
with temperature, and we assign this to the loss of base stacking
and pairing in the stem of the loop.[16] By
extension, we assume that loss of the stem structure leads to melting
of the hairpin loop.
Figure 1
IR absorption (a, b) and T-jump IR spectra (c, d) of RNA
(a, c)
and DNA (b, d) tetraloop hairpins. (a) and (b) show solvent-corrected
FT-IR difference spectra as a function of T relative
to the spectrum at 20 °C of (a) the RNA and (b) DNA tetraloops.
The color scale runs from 20 to 80 °C (blue–red) with
the GR mode highlighted. Panels c and d show the T-jump
IR spectra of RNA and DNA, respectively (T0 = Tm – 5 °C). Time delays
from 1 ns (blue) to peak signals (red) at 20 μs (RNA) and 6
μs (DNA) are displayed. The T-jump data are represented as T-jump
on–T-jump off difference spectra; the increase in amplitude
of the GR band upon melting of the double-stranded GCGC
stem appears as a positive peak highlighted by the purple panel. The
negative spectral features at very early time in the T-jump data are
due to a fast hydrogen-bonding rearrangement. For visual clarity only,
T-jump spectra have been baseline corrected to account for solvent-related
effects.
IR absorption (a, b) and T-jump IR spectra (c, d) of RNA
(a, c)
and DNA (b, d) tetraloop hairpins. (a) and (b) show solvent-corrected
FT-IR difference spectra as a function of T relative
to the spectrum at 20 °C of (a) the RNA and (b) DNA tetraloops.
The color scale runs from 20 to 80 °C (blue–red) with
the GR mode highlighted. Panels c and d show the T-jump
IR spectra of RNA and DNA, respectively (T0 = Tm – 5 °C). Time delays
from 1 ns (blue) to peak signals (red) at 20 μs (RNA) and 6
μs (DNA) are displayed. The T-jump data are represented as T-jump
on–T-jump off difference spectra; the increase in amplitude
of the GR band upon melting of the double-stranded GCGC
stem appears as a positive peak highlighted by the purple panel. The
negative spectral features at very early time in the T-jump data are
due to a fast hydrogen-bonding rearrangement. For visual clarity only,
T-jump spectra have been baseline corrected to account for solvent-related
effects.Melting curves for the RNA and
DNA hairpins were obtained by plotting
the absorbance of the GR mode as a function of temperature
(Figure S2). A Van’t Hoff analysis
was used to obtain thermodynamic parameters associated with the melting
transition (Table ). Because these systems are monomolecular and below the threshold
concentration for duplex formation, the melting temperature of the
sequences is concentration-independent.[15]
Table 1
Thermodynamic Parameters Obtained
via Van’t Hoff, Arrhenius, and Eyring Analyses
RNA
DNA
Tm
81 °C
76 °C
Van’t Hoff
ΔH
118.3
124.2
kJ mol–1
ΔS
334
356
J K–1 mol–1
ΔGa
14.8
13.9
kJ mol–1
Arrhenius
Ea,m
83.3
64.0
kJ mol–1
Ea,r
–48.2
–45.2
kJ mol–1
Eyring
ΔHm‡
80.4
61.2
kJ mol–1
ΔSm‡
86
46
J K–1 mol–1
ΔGm‡a
53.8
46.8
kJ mol–1
ΔHr‡
–51.2
–48.1
kJ mol–1
ΔSr‡
–324
–315
J K–1 mol–1
ΔGr‡a
49.1
49.5
kJ mol–1
All ΔG calculated
at 37 °C.
All ΔG calculated
at 37 °C.The results
of T-jump spectroscopy measurements on RNA and DNA
hairpins are shown in Figure c,d. The data were obtained with an initial sample temperature,
prior to the T-jump (T0), 5 deg below
the melting temperature of the sample (T0 = Tm – 5 °C). The spectra
are represented as T-jump on–T-jump off difference spectra
and show changes in band positions and intensities that emerge over
a period of up to 20 μs following the T-jump (blue–red).
For both RNA and DNA samples, the spectral changes following the T-jump
were observed to be identical with those in the difference IR absorption
spectra (Figure a,b)
and therefore are assigned to melting of the stem of the loop as the
hairpin responds to the change in sample temperature. Comparing the
maximum intensity change of the Gr band in the T-jump experiment
to the change in the same band obtained via FT-IR spectroscopy over
the same temperature range showed that the extent of melting achieved
for RNA and DNA hairpins was 83% and 98%, respectively.[2] This establishes that the hairpin samples undergo
virtually all of the melting expected over the temperature range during
the T-jump experiment. On longer time scales the signals decayed to
the baseline as the sample cooled following the T-jump. (Figure S3)To examine the dynamics of the
hairpins following the T-jump, experiments
were conducted on the RNA and DNA sequences starting from a range
of different initial temperatures (T0).
In each case, the GR band intensity was observed to rise,
peaking near 20 and 6 μs for RNA and DNA hairpins, respectively,
before decaying on millisecond time scales (Figures and S4). In each
case, the temporal dependence of the GR band was fitted
using a triple-exponential function (Table S1). The majority of the temporal profile was accounted for by two
processes with lifetimes quantifying the rise (τ1) and decay (τ2) of the signal. The third exponential
term was generally of low amplitude (<25%) but was essential to
achieve a good quality fit. The triple-exponential method was found
to provide more robust results than fitting the data with a stretched
exponential function. The results from the fitting
process are shown in Figure . It is noted that D2O gives rise to a small, broadband
solvent-dependent contribution to the data. In the analysis that follows
this has not been subtracted, but comparisons showed that applying
this correction led to changes in lifetime parameters that fell within
the errors stated.
Figure 2
Exemplar data showing the temperature and time dependence
of the
GR band intensity (dots, bottom) for the DNA hairpin. Data
are shown from a T0 of 50 to 85 °C
(blue–red) at intervals of 5 °C through the hairpin melting
transition, along with the triple-exponential fits (lines, bottom)
and residuals (top). The lifetimes are indicated for the rise (τ1) and decay (τ2). The third lifetime is a
low-amplitude contribution.
Figure 3
Results
of fitting T-jump spectroscopy obtained at a range of T0 values for RNA and DNA samples. The data are
represented using Arrhenius plots showing the temperature dependence
of the cooling rate of D2O (blue) alongside the melting
(a, above D2O) and refolding (a, below D2O)
of DNA (black) and RNA (red) hairpins. In each case, the temperature
plotted is T0 + 5 °C, the average
temperature over the T-jump. To focus on experiments where a significant
proportion of hairpin melting occurred, data are shown over the temperature
range where the maximum change in intensity of the GR band
was greater than 20% of the largest signal observed (DNA T0 + 5 °C, 65–85 °C;
RNA 70–85 °C). (b) Temperature-dependent lifetimes for
the refolding processes (τ2) of DNA (black) and RNA
(red) are plotted on a linear axis alongside the temperature invariant
cooling time scale obtained for D2O (blue, with linear
fit). Arrhenius fits (lines, black and red) are shown and extrapolated
for temperatures below 20% of the maximum melting signal and where
expected lifetimes are faster than the experimental lower limit of
the D2O cooling lifetime (dotted lines).
Exemplar data showing the temperature and time dependence
of the
GR band intensity (dots, bottom) for the DNA hairpin. Data
are shown from a T0 of 50 to 85 °C
(blue–red) at intervals of 5 °C through the hairpin melting
transition, along with the triple-exponential fits (lines, bottom)
and residuals (top). The lifetimes are indicated for the rise (τ1) and decay (τ2). The third lifetime is a
low-amplitude contribution.Results
of fitting T-jump spectroscopy obtained at a range of T0 values for RNA and DNA samples. The data are
represented using Arrhenius plots showing the temperature dependence
of the cooling rate of D2O (blue) alongside the melting
(a, above D2O) and refolding (a, below D2O)
of DNA (black) and RNA (red) hairpins. In each case, the temperature
plotted is T0 + 5 °C, the average
temperature over the T-jump. To focus on experiments where a significant
proportion of hairpin melting occurred, data are shown over the temperature
range where the maximum change in intensity of the GR band
was greater than 20% of the largest signal observed (DNA T0 + 5 °C, 65–85 °C;
RNA 70–85 °C). (b) Temperature-dependent lifetimes for
the refolding processes (τ2) of DNA (black) and RNA
(red) are plotted on a linear axis alongside the temperature invariant
cooling time scale obtained for D2O (blue, with linear
fit). Arrhenius fits (lines, black and red) are shown and extrapolated
for temperatures below 20% of the maximum melting signal and where
expected lifetimes are faster than the experimental lower limit of
the D2O cooling lifetime (dotted lines).In accordance with previous work, we associate the time scale
of
the rising GR signal, τ1, with melting
of the GCGC stem, which in this case leads to hairpin loop melting.
For RNA hairpins, τ1 was found to vary from 2.0 to
6.9 ± 0.6 μs over a range of T0 values from 80 to 65 °C around the melting transition, while
for DNA time scales from 0.4 to 1.5 ± 0.2 μs were observed
over the same temperature range. The temperature dependence of the
melting time scales for both hairpins (τ1) was found
to be in good agreement with an Arrhenius representation (Figure a, above D2O), yielding positive activation energies (Ea,m = 83 ± 20 and 64 ± 10 kJ mol–1 for RNA and DNA hairpins, respectively), as would be expected for
strand melting. These values are in good agreement with prior work.[5,23]Examining the response of the hairpins on microsecond to millisecond
time scales, as the sample cools following the T-jump, revealed that
the temperature dependence of τ2 was also well-represented
by Arrhenius behavior. In contrast to τ1, however,
the time scales of τ2 were found to increase with
increasing T0, yielding values from 150
to 400 μs, from 60 to 80 °C for both RNA and DNA, consistent
with a process with an apparent negative activation energy (Figure a, below D2O).For comparison with the RNA and DNA data, the cooling dynamics
of the D2O solvent were characterized using T-jump spectroscopy
of a D2O/TFA solution. Fitting the temporal profile of
a vibrational mode of the TFA calibrant molecule at 1670 cm–1 to a biexponential function (Figures and S5) has been shown
to provide a reliable measure of sample temperature.[1] A biexponential function was used to mirror the approach
used for nucleic acid dynamics while accounting for the fact that
the rise time of the T-jump in the solvent is essentially instantaneous,
following the profile of the nanosecond laser pulse. For the TFA data,
the second time scale recovered from the exponential function was
equivalent to the small τ3 contribution observed
for RNA and DNA, and so we use the major TFA relaxation time scale
as an indicator of sample cooling time. The results showed that the
cooling time scale of the solvent was invariant with T0 (Figure , blue). To confirm that these results were consistent in samples
containing hairpins, the cooling dynamics of a band due to D2O (1470 cm–1) present in both the TFA calibration
sample and the hairpin samples were compared and found to display
similar dynamics (Figures S4 and S5).In addition to showing no Arrhenius
behavior, it is clear from Figure that the cooling
of the solvent occurs on time scales significantly faster than the
decay of the oligonucleotide signals. While D2O cooling
takes place on <150 μs time scales, the hairpin dynamics
of both RNA and DNA show dynamics on several hundreds of microsecond
time scales, increasing exponentially as T0 increases (Figure b), which we show below is consistent with a process exhibiting an
apparent negative activation energy. As the value of T0 decreases, the time scales for RNA and DNA signal recovery
decrease such that at a T0 of 65 °C
the hairpin dynamics match those of the solvent. We thus conclude
that at T0 values equal to or greater
than 70 °C the experiment is probing the native dynamics of the
hairpin, which are independent of the solvent behavior. Specifically,
this implies that hairpin refolding dynamics are being observed. It
is important to note that the spectral changes taking place during
the cooling are the reverse of those observed during melting, supporting
this assignment (Figure S3).Using
an Arrhenius analysis produced values of −48.2 ±
5.0 and −45.2 ± 5.6 kJ mol–1 for the
activation energies of refolding (Ea,r) of RNA and DNA, respectively. These values are consistent with
negative activation energies that have been calculated for the refolding
of oligonucleotides in other studies, confirming that our approach
is directly measuring hairpin refolding as well as the validity of
the models used to obtain refolding time scales.[3−5,7,23−27] It is noteworthy that although RNA and DNA show very different melting
behaviors, the refolding process is consistent between the two—an
outcome which has been reported by previous studies on different sequences
and suggests the key rate-limiting steps are conserved in both.[28] It is important to note that the refolding process
as measured is a convolution of the solvent cooling and the nucleic
acid dynamics. When these time scales are well separated, as at high
temperatures here, the results will be dominated by the nucleic acid
dynamics. At lower temperatures a degree of convolution may affect
the absolute quantitative accuracy, but even under these conditions,
a direct experimental measurement obtained for different molecules
under identical experimental conditions will yield valuable comparison
data.The small time scale component (τ3) was
found
to be on the order of 800 μs. On the basis of its magnitude,
in nucleic acid samples, which was greater than the solvent signal,
and its nonconstant temperature dependence, this contribution could
not be attributed simply to solvent response or a cooling property
of the cell. As such it may indicate a slower dynamic process that
follows the initial refolding, but the small nature of the contribution
precludes clear conclusions.The marked differences in the melting
time scales of the RNA and
DNA hairpins, 6.0 ± 0.1 vs 0.8 ± 0.1 μs at a T0 of 70 °C, respectively, indicate that
specific structural factors must influence the energetic barrier of
the rate-limiting step in the breaking down of the base-paired stem.
While the differences between RNA and DNA at the molecular level are
limited to a 2′-OH group on the ribose moiety, it is perhaps
relevant that they typically adopt different helical geometries in
solution. Specifically, the packing of the phosphate groups in the
backbone and the stacking of the nucleotide bases are tighter in RNA
than in DNA.[29] X-ray structures of RNA
have also determined that individual water molecules link the 2′-hydroxyl
groups of adjacent nucleotides and in general have more extensive,
ordered hydration of the backbone.[30] In
solution, this has been shown to correlate with additional coupling
between the vibrational modes of the backbone in RNA compared to DNA.[31,32] Such changes in hydration could have implications for the overall
stability of the hairpin structure and its dynamics. In particular,
the melting process is a combination of the breakdown of base-pairing
and base-stacking, but the association and dissociation of the base
stacks have been suggested to be slower than base-pairing.[33−35] This implies that the conformation and hydration dynamics that provide
added stability for RNA also influence the relative stability of the
base-stacking compared to DNA. The structure of some UNCG tetraloops
is also known to specifically slow melting, and this may have a greater
effect in RNA.[36]In contrast to melting,
the refolding processes for the RNA and
DNA hairpins occur on the same time scales. This observation of an
apparent negative activation energy, in accordance with various studies,
shows that this follows a more complex mechanism than melting.[3−5,24,33] The appearance of a rate that decreases with increased temperature
has been associated with a rugged potential energy landscape such
that refolding is not a simple two-state transition.[7,9,37,38] Although there are differences between diffusive reassociation of
double-stranded DNA and refolding of a hairpin loop, some common elements
are to be expected. To refold from a random coil, the hairpin must
first make an initial base-pairing contact. There are a number of
ways in which a base pair may be mismatched in such a way that it
is in fact not possible for the stem sequence to fully base pair,
and therefore these are likely to return to the random coil conformation
on a number of occasions before full refolding occurs.[7] Additionally, the initial base pair must be stabilized
by base stacking to allow the full zipping of the stem.[33] Because the rate of base-stacking association
is relatively slow, this is likely to result in even correct initial
base pairing contacts more often returning to random coil than actually
resulting in the full refolding of the stem loop. With many potential
states on the energy landscape, the zipping of the hairpin represents
a significant loss of entropy, which, despite also leading to a lower
enthalpy, results in a free energy barrier.[5,7,24] A consequence of these competing rates is
that when the temperature is increased, the rates of dissociation
of base pairs and stacks are increased, making the conjunction of
the two less likely and resulting in an overall slower refolding rate.[33,39] This can be confirmed by applying an Eyring rather than Arrhenius
analysis, which gives access to activation enthalpy and entropy values.
For the refolding process a negative enthalpy change of activation
is observed that is identical with the Arrhenius activation energy
(−51.2 ± 5.0 and −48.1 ± 5.6 kJ mol–1 for RNA and DNA, respectively). This is accompanied by a negative
activation entropy (−324 ± 37 and −315 ± 43
J K–1 mol–1), such that the Gibbs
free energy of activation is positive at elevated T, consistent with the observations. The fact that this negative activation
energy and indeed the time scale of refolding are shared between both
the RNA and DNA hairpin suggests that the rate-limiting step for both
is the same—the re-forming of the base stacks. Furthermore,
this slow rate of formation of the base stacks has a more significant
impact on the refolding process than the differing features of RNA
and DNA.In conclusion, we have demonstrated that it is possible
to apply
T-jump time-resolved spectroscopy strategies to observe the refolding
dynamics of nucleic acid hairpins. Using a system in which the solvent
cooling time is shorter than the refolding time of the sample effectively
produces a combined T-jump followed by a T-drop experiment, making
it possible to measure the native dynamics of both RNA and DNA hairpin
melting and refolding. This provides a direct measurement of parameters
that previously had to be calculated from the melting rates and equilibrium
constants. The use of IR spectroscopy for label-free detection of
the conformational changes will also enable future comparisons with,
for example, refolding rates obtained via microfluidic temperature
drop techniques employing incorporation of fluorescent labels.[40] We have shown previously that the cooling time
scale for a sample varies sensitively with the sample path length,
meaning that this strategy can be used to tune the cooling time to
a certain degree to match the dynamics of the analyte molecule.[21]Comparing our results obtained on similar
RNA and DNA hairpins
reveals distinct melting dynamics, with RNA melting an order of magnitude
more slowly than DNA, which we attribute to the influence of the helical
conformation on the stabilization of the base stacking. However, the
refolding dynamics both occur on similar time scales and show behavior
which is consistent with a negative activation energy. These observations
are in good agreement with previous studies and give insights into
the energy landscape that result in the similar refolding dynamics
of the DNA and RNA hairpins.
Authors: M Abdelkafi; N Leulliot; V Baumruk; L Bednárová; P Y Turpin; A Namane; C Gouyette; T Huynh-Dinh; M Ghomi Journal: Biochemistry Date: 1998-05-26 Impact factor: 3.162
Authors: Eva M Bruening; Jakob Schauss; Torsten Siebert; Benjamin P Fingerhut; Thomas Elsaesser Journal: J Phys Chem Lett Date: 2018-01-19 Impact factor: 6.475