Folding & Purification
The U structure was folded using the 15_65 ramp. This ramp was the fastest of the tested ones and also led to proper folded origamis as shown in figure 1. There is only one major band visible in the agarose gel, indicating that no significant amounts of byproducts (like dimers) have been formed. The results of the slower ramps 2D_H3_ML and 5D_H3_ML yielded similar results as the 15_65 ramp.
Fig. 1 From left: 1kb-ladder, scaffold p7560, (scaffold p7560), [BM1, BM2
Most of the structures from the major band were folded correctly, which was proven by TEM images (figure 2).
Fig. 2 The U structure (BM2_2B7)
The purification of the structures was tried both with an agarose gel and with an Amicon size exclusion filter (molecular weight cutoff: 100kDa). According to general experience, the yield of purification via agarose gel is approximately 2 nM. The yield of the filter purification was definitively higher, since unexpected weak dilutions led to appropriate concentrations for TEM and fluorescence microscope. Therefore we estimate the yield to be roughly 10 nM.
TEM Image Analysis
When we inspected the structure in the TEM, we saw a spread of the arms in the uprightly orientated structures (figure 1). The magnitude of this spread seemed to be correlated to the amount of DNA binding molecules in solution.
Side view of BM2 without DNA-binders.
Side view of BM2 with one EtBr molecule every 7bp.
The angles between the arms were measured with different concentrations of DNA binders. The widths of the angle distributions could be explained by thermal fluctuations. We assumed to find a peak shift of the angles dependend on the added DNA binder concentration.
The peaks for the tested DNA binding molecules DAPI, ethidium bromide and spermine as well as the negative control and the positive control (intrinsically twisted) are displayed in table 1.
'''Table 1: '''
|Spermine 0.42 µM||1019||8.864||4.793||0.150157669
|Spermine 1.34 µM||1809||9.663 ||5.759||0.1354099
|EtBr 0.69 µM||156||9.169 ||5.036||0.403186678
|EtBr 0.74 µM||472||11.059 ||5.577||0.256697629
|EtBr 2.27 µM||223||10.877 ||5.531||0.370363066
|EtBr 2.4 µM||431||7.474 ||7.839||0.377567259
|DAPI 432 nM||375||6.0277 ||5.3736||0.277491511
|DAPI 144 nM||325||7.5568 ||4.1349||0.229362984
!!!Include ausagekräfitge Bilder von gespreizten U's, eine reihe control, andere twisted control!!!
Fig. 1: The class averages of pure structures (left) and a structure with an internal twist, induced by additional base pairs (right). A spread of the arms in the twisted structure is clearly visible.
The values in the above mentioned table 1 come from the following histograms:
Distribution of Angles
The measured angles are distributed in a gaussian manner around an angle φ0 with a width σ. The distribution of angles in the control has two populations. One were the two arms are exactly above each other which leads to very small angles and one were the slightly twisted arms are pulled down to the surface at the adheration to the grid and therefore is pushed to the side and repelled from the lower arm. This leads to the distribution around an finite angle as one can see in fig. 2. Further more we measured a structure with an internally induced twist by including additional base pairs in each helix (these additional base pairs lead to a net torque in each helix and therefore a macroscopic deformation of the structure) which lead to a distribution of the angles around a much higher angle (see fig. 3). The population around zero is maybe due to deformed structures which had no second arm and couldn't be excluded. This results in many angles around zero. The other population around the finite angle is now the more spread structure. This angle is shifted to higher values by approximately a factor of 2 because of the induced twist. So in principle this way of measuring the deformation of our structure in dependence of induced stress works.
The width of our measured angles can be explained by the following mechanism:
when the grids for TEM are prepared, the structures are able to fluctuate around a certain mean position which - in our case - corresponds to φ0. So when the structures adhere to the carbon film of the grid and stain is added, they are fixed in one actual position. Since this fluctuation can be described by a Boltzmann distribution, we can easily calculate a theoretical value for the width of our angle measurements with some assumptions (for more details, please see: Thermal fluctuation of the arms).
So we get a theoretical prediction of
which approximately explains the width of our measurements which can be seen in fig. 2 and 3.
Image:Control with dblgauss.png
Fig. 2: Histogram of the structure without any twist or DNA binding molecule. The two populations were fitted with a sum of two gaussians with a width around φ1 = ... of σ1 = ... and another width of σ2 = ... around φ2 = .... The total number of measured structures was n=... .
Image:Control twist with gauss.png
Fig. 2: Histogram of the structure an internal induced twist. The population around the finite angle was fitted with a gaussian with a width around φ = ... of σ = .... The total number of measured structures was n=... . A shift to higher angles is clearly visible.
We then plotted a histogram of the mean angles versus the part of the structure occupied with DNA binders. We could clearly see a rise of the spread with rising concentration of DNA binding molecules in fig. 5. Since we had many particles, the error is relatively small compared to the values and we assumed our mean spread angle to be accurate.
We also measured the lengths of the origami structures on the TEM images. Histograms of the length distributions display a gaussian shape (figure xxx). For increasing concentrations of spermine, the length decreases steadily (figure yyy). Surprisingly, for rising concentrations of ethidium bromide, the length decreases as well, although addition of ethidium bromide is known to increase the length of a simple double stranded DNA. It seems, that origami structures respond in another manner then single helices.
Fig. xxx: Length distribution of theU negative control, with a gaussian fit, histogram based on 256 particles
Fig. xxx: Gaussian fits of length distributions of ethidium bromide concentration series
Fig. xxx: Gaussian fits of length distributions of spermine concentration series
Including Base-Twist Theory
The measured angles φ for negative and positive control, ° and °, can be related to a torsion α of the base according to the Theoretical considerations of the base twist:
The theory determines the torsion for these particular φ-values to ° and °. This corresponds to a torsion of 5° per base-pair in the base.
FRET Bulk Measurements
For first tests, a simple 18 bp DNA double helix with Atto 550 ddCTP at the one end and Atto 647N ddUTP at the other end was examined.
The idea to perform bulk measurements based on FRET using a photospectrometer and a real time PCR was unsuccessful.
The photospectrometer is not sensitive enough to handle Atto dyes at concentrations below 10 nM (peaks were not visible at all).
The real time PCR, which is more sensitive, still did not deliver trustworthy data when using 50 µl samples with 10 nM Atto dyes. It could be shown that the reproducibility of the real time PCR setup was poor with deviations of up to 40 % between identical samples (figure 1) . To assure the identity of the samples a 100 µl stock was divided into two 50 µl samples. Based on these results no experiments with theU structure were performed at all with this device as the concentration of theU structure is lower than the concentration of the here test structure.
Figure 1: FRET efficiency Spermine and FRET efficiency EtBr
To handle the issue with the small concentrations further experiments were done with a fluorescence microscope.
FRET at the Fluorescence Microscope
We designed the structure in such a way that a small change of angle in the base, which is a 30 helix bundle in a honey comb lattice, is amplified by the two arms, which are both 10 helix bundles and therefore should twist as well. To measure the change in twist and angle two fluorophores were attached to the two arms so that a deformation should cause a change in distance between them. We chose a donor and an acceptor fluorophore, namely Atto 550 and Atto 647N, so a change in distance between them leads to a change in FRET-efficiency.
In order to immobilize our structure standing upright on the coverslide we used neutravidin and biotinylated oligos complementary to staples at the base of our structure, which is a common way to immobilize DNA origamis on surfaces.
To prepare the slides we used this procedure.
The fluorescence microscope has three lasers with different wavelenghts (blue:473nm, green: 532nm, red: 640nm). We only used the red and the green one because of the dyes we attached to our “U”.
For the measurement we used alternating-laser excitation of single molecules (ALEX) with an excitation length of 0.05 sec.
... film einfügen?!? ...
Depending on the background we decided to use the microscope either in epifluorescence or in TIRF modus.
The analysis program is a matlab script which searches for spots in the red and the green movie and plots the intensities over time to identify bleaching events. Only those plots where the acceptor bleaches first and the donor bleaches afterwards are useful to calculate the FRET-efficiency.
Fig: Example of an intensity over time plot of the acceptor and donor: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
The graph shows the intensities of the donor and the acceptor and in addition the intensity of the FRET-events. As one can see the intensity of the donor rises as soon as the acceptor bleaches. After some while the donor bleaches too. From that the FRET-efficiency can be calculated.
We at first measured the FRET-efficiencies for the BM14 structure without any intercalator or groove binder as a control and afterward we measured the same structure with 4.8µM spermine. We plotted the FRET-efficiencies in the following histograms.
It is obvious that we actually measured FRET, though the low yield of FRET-events that were found by the matlab script does not allow to draw any conclusions because of the low statistics. This could mean that there are not all of the staples were labeled correctly so that there are structures that only contain one fluorophore or even none.
Yet the fact that there actually were FRET-events makes it worth to keep on elaborating these measurements.
Fluorescence Tracking at the Fluorescence Microscope
Besides FRET-measurements we also applied another approach to investigate the deformation of the structure where we determine the distance between the fluorophores and thereby get the distance of the two arms by directly comparing two images. At first we excite the Atto 550 dye and observe at its characteristic wavelength and then excite the Atto 647N dye and observe at its characteristic wavelength.
For the analysis with the homemade matlab script at first we had to calibrate the cameras.
Then the matlab script searches for spots in the green and the red picture and fits in an gaussian. The peaks from the green picture then are transfered into the red picture. When there is a matching red spot for the a green spot the distance between them is calculated.
We did those measurements for a control and for two different concentrations of spermin.
Though quantitative evidence is a bit tricky because of the calibration and the fact that one pixel of the pictures equals 101.03nm a qualitative evidence can be see in a shift in distance from the control to higher concentrations of spermin of approximately nm. This shows that in principle it is possible to detect a structure deformation of our biosensor.
Origamis respond in another way than single DNA helices on local deformations
Spermine causes a positive twist (46°) of double stranded DNA, and additionally decreases the length of DNA (base step rise reduced from 0.34nm to 0.29nm; Tari et.al.). According to Salerno et.al., each bound molecule of ethidium bromide increases the length of a DNA double helix by 3.4nm, which is exactly the length of one base pair. Additionally, it induces a twist of -27°, in contrast to the +36° twist of one base pair.
Although both DNA binders induce length changes in opposite directions on DNA helices, both shorten the whole origami structure. The crosslinking between the helices in theU alters the type of deformation compared to an isolated double helix. One could assume that local changes in twist and length combine in an origami, causing a length change effect with all local deformations integrated.
Regarding the measured twist angles, for small concentrations no effects can be seen with spermine. Without spermine, as well with ca. 5% and 14% occupied binding sides, the angle remains ca. 9°. For higher occupations (50% and 67%), the angle increases to 12°. Additional data points will be needed to fit these findings, but we suggest that a cooperative behavior would be an appropriate explanation. Within DNA origamis, not only a single helices needs to be twisted, but large bundles of helices with many crosslinks. This makes the single helices more rigid, consequently hindering an induced fit of spermine molecules. Only higher concentrations could excert enough force to overcome the local restraints and induce a global twist.
To put these considerations in a nutshell, new theoretical approaches are needed to correlate effects on a single helix with effects on a huge system of interconnected helices.
Regarding our angle distributions from the TEM data, the mean global twist for one additional base every 21bp is 21°, compared to 11° induced by one molecule ethidium bromide every 21bp. Besides some potential inaccuracies in the quite small concentrations, the strong local negative twist caused by ethidium bromide results in remarkably reduced effects on the global structure.
Referring to the relevance of this project accordingly the future goal should be to find a way to characterize DNA binding molecules. In the field of bioscience the Ramachandran plot is a nice way to show typical secondary structures of proteins.
In this case we would plot twist against length (fig 1). To do this it would be necessary to test more DNA binding molecules and to design a structure which is more sensitive to measure changes in length. This should be done based on the theoretical background which considers geometrical thoughts and information we gained during this project.
fig. 1: Classifying DNA-binders by twist and length change
By optimizing the structure based on our results it should be possible to create a device whose conformational changes can be precisely predetermined.
This would permit to use this structure the other way around. Knowing the outcome of conformational changes of DNA origami using a certain concentration of an well known DNA-binder will provide a valuable tool especial in the field of creating functional DNA origami.
Welche Experimente wären noch möglich/ sollten noch gemacht werden, um... zu zeigen. Ferne und nahe Zukunft. Was könnte damit noch untersucht werden (Sequenzspezifische Bindeproteine...)
- Struktur mit asymmetrischem feature um die richtung der projektion bestimmen zu können