NANOSCALE MOTION DETECTOR

Abstract

Motion detector comprising a flexible support (1,5) adapted to hold at least one object (6-9), a sensor (4) for measuring the displacement of said support (1) and processing means for differentiating the fluctuations of said support (1) from those induced by said object (6-9).

Claims

1-17. (canceled)

18. A method for analyzing a biological object with a motion detector, the motion detector including a flexible support, a sensor for measuring a displacement of the flexible support, and electronics for analyzing the displacement, the method comprising the steps of: bringing a biological object into contact with the flexible support, the biological object imparting a nanoscopic motion, measuring the displacement of the flexible support with the sensor while the biological object is in contact with the flexible support, the displacement caused by the nanoscopic motion imparted by the biological object; and analyzing the measured displacement by the electronics to determine at least one of a presence and a modification of the nanoscopic motion of the biological object.

19. The method according to claim 18, wherein the step of analyzing includes calculating a variance of the displacement of the flexible support caused by the nanoscopic motion of the biological object.

20. The method according to claim 18, further comprising the step of: treating the biological object for facilitating an adherence of the biological object to the flexible support.

21. The method according to claim 18, wherein the biological object is at least one of an enzyme, a bacteria, a virus, and a cell.

22. The method according to claim 18, wherein the biological object includes a bacteria, and the nanoscopic motion includes a motion of the bacteria.

23. The method according to claim 18, wherein the biological object is an enzyme, and the nanoscopic motion includes an interaction of the enzyme with a drug.

24. The method according to claim 18, wherein the nanoscopic motion of the biological object is intrinsic to the biological object.

25. The method according to claim 18, wherein in the step of analyzing, a resonance frequency of the flexible support is not taken into account.

26. The method according to claim 19, wherein in the step of analyzing, an increased variance of the displacement indicates that the fluctuations are induced by the biological object held on the flexible support.

27. The method according to claim 18, wherein the step of analyzing includes: determining a viability of the biological object based on the measured displacement.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0013] The invention will be better understood in the present chapter, with a detailed description including some non-limiting examples illustrated by the following figures:

[0014] FIG. 1 illustrates a first setup according to the invention for sensing movement at the nanoscale.

[0015] FIG. 2 illustrates another setup according to the invention for sensing movement at the nanoscale.

[0016] FIG. 3 illustrates a theoretical molecular structure of human TopoII and a setup according to the invention for observing TopoII drug interactions.

[0017] FIG. 4 represents an analysis (deflection and variance) of the interaction of human Topoisomerase If with ATP and aclarubicin (ACLAR).

[0018] FIG. 5 represents an analysis (deflection and variance) of the interaction of human Topoisomerase II with different concentrations of ATP.

[0019] FIG. 6 represents an analysis (deflection and variance) of the interaction of human TopoII with supercoiled DNA.

[0020] FIG. 7 illustrates another setup according to invention for observing bacteria viability following exposure to chemical and/or physical stimuli.

[0021] FIG. 8 represents an analysis (deflection and variance) of the resistance of E. coli to antibiotics.

[0022] FIG. 9 represents a dose dependent analysis (variance values) with a detector according to the invention.

[0023] FIG. 10 represents an analysis (deflection and variance) of the exposure of Staphylococcus aureus bacteria to ampicillin.

NUMERICAL REFERENCES USED IN THE FIGURES

[0024] 1. Cantilever

[0025] 2. Laser beam

[0026] 3. Mirror

[0027] 4. Photodetector

[0028] 5. Optical fibre

[0029] 6. Moving specimen

[0030] 7. TopoII

[0031] 8. DNA molecule

[0032] 9. Bacteria

[0033] FIG. 1 represents a first embodiment of the invention with a motion detector comprising a cantilever 1, a laser beam 2, a Minor 3 and two or four segments photodiodes 4.

[0034] FIG. 2 represents a similar assembly but where the cantilever is replaced by an optical fibre 5 and where the laser beam 2 is collimated in the fibre 5 and is collected towards its free end.

[0035] One or several movable objects (6-9)see also FIGS. 3,6 and 7to be investigated are positioned on a rnicrosized flexible support 1,5. The fluctuations of the support 1 are recorded as a function of time. The method offers the advantage to monitor the evolution of the dynamics of the object(s), for instance as exposed to chemical or physical modifications of the environment. The system may be advantageously made of one or several fluctuating supports, an analysis chamber in which the supports are introduced and a transduction system that detects and records the support movements.

[0036] The support 1,5 may be a cantilever 1, such as those used in atomic force microscopy (AFM) (see FIGS. 1, 3, 6 and 7), an optical fibre 5, a piezoelectric system (not illustrated), a membrane or any microdevice capable of fluctuating. It has to be optimized to allow the attachment of the object on its surface by any means, for instance using chemical, biological or physical methods.

[0037] The objects 6-9 can range from single molecules to complex specimens such as nanodevices, proteins, DNA, viruses, bacteria, single cells or complex multicellular systems.

[0038] The analysis chamber preferably comprises a single or multiple inlets, a space containing the sensor and the object and one or several outlets, in order to permit exposure of the object(s) to different environmental conditions.

[0039] The transduction system, e.g. the photodetector 4, detects the fluctuations of the objects 6-9 through the support 1,5 fluctuations. It can be based on, but not limited to, optical reflection, optical interference, piezo electric, electric, magnetic, capacitive or tunnelling detection systems. As examples similar systems are typically employed in AFM microscopy, microbalances or accelerometers.

[0040] The data collected by the transduction system may be advantageously analysed by a dedicated electronics optimized to highlight the dynamical component of the signal, by performing any kind of manipulation capable to evidence the variation in the object dynamics.

[0041] In a preferred embodiment, the fluctuating detector is first processed in a way to promote the attachment of the objects 6-9. In a second step the support 1,5 is exposed to the objects 6-9. This procedure can be carried on in or outside an analysis chamber. In the next step, different working conditions are produced in the analysis chamber by modifying the chemical or physical environment around the specimen. The conformational changes of the specimen or its motions, during all the described steps, induce fluctuations that are translated in measurable (electric) signals by the sensor and are recorded by the dedicated electronics. The data are finally analysed by dedicated algorithms to highlight the insurgence or modification of the specimen's movements.

Example 1

Drug Affinity Detection

[0042] These experiments involve Topoisomerase II (TopoIIFIG. 3) and its interaction with anticancerous drugs. TopoII is an essential enzyme that interacts with DNA to simplify its topology and permits the transcription to occur safely,

[0043] This enzyme requires ATP to modify its 3D conformation and to act on DNA. TopoII is also the preferred target of numerous anticancerous drugs such as aclarubicin. This drug binds to TopoII, freezes its conformation and inhibits its action (15). In the first experiment, TopoII was adsorbed onto both sides of a cantilever. It was than introduced in the analysis chamber of an AFM and its laser beam was collimated on the apex of the cantilever. The reflection of the laser beam, sent to a split photo-detector, allowed detecting the fluctuations of the cantilever as depicted in FIG. 1 and, more in detail, FIG. 3,

[0044] The experiment consisted in injecting successively an ATP depleted buffer, an ATP enriched solution and an aclarubicin+ATP rich media in the analysis chamber and by recording the resulting fluctuations of the cantilever.

[0045] By exchanging the liquid medium in which the cantilever and TopoII were immersed the inventors surprisingly noticed that the variance of the cantilever fluctuations was significantly higher in the presence of ATP compared to ATP depleted buffer or in the presence of aclarubicin, as can be seen in FIG. 4. Similar observations can also be seen with other statistical tools, other than variance calculation, like power spectrum analysis, correlation functions, wavelets, Fourier and Fast Fourier Transforms (FFT).

[0046] This experiment was performed using an APTES-coated AFM cantilever. The different buffers injected during experiment are: buffer (50 mM Tris-HCl (pH 8.0), 150 mM NaCl, 10 mM MgCl, and 0.5 mM dithiothreitol), 0.02 mM ATP and 0.02 mM ATP plus 100 M aclarubicin. The top panel shows the cantilever deflection data, while the bottom evidences the differences of the cantilever fluctuation in terms of variance.

[0047] This indicates that, in the absence of ATP, TopoII was in equilibrium condition, while it was undergoing conformational changes in presence of ATP and was again in equilibrium when exposed to the action of aclarubicin. Remarkably, the conformational changes induced on the TopoII molecules by ATP were dependent on its concentration, as shown in FIG. 5. The media used in this experiment are: buffer (50 mM Tris-HCl (pH 8.0), 150 mM NaCl, 10 mM MgCl.sub.2 and 0.5 mM dithiothreitol.), 0.02 mM ATP, 0.2 mM ATP, 2 mM ATP and again buffer. The top panel shows the cantilever deflection data, while the bottom one evidences the differences of the cantilever fluctuation in terms of variance.

[0048] This latter figure indicates that the proposed technique is capable of quantitatively delivering information on the conformational changes of molecules.

Example 2

Detection of Biochemical Reactions

[0049] As mentioned previously, TopoII interacts with DNA to simplify its topology. To record this reaction with our method we deposited TopoII-supercoiled DNA complexes on both sides of an AFM cantilever, as depicted in FIG. 6.

[0050] The experiment was performed using an APTES-coated AFM cantilever. The different media injected during experiment are: buffer (50 mM Tris-HCl (pH 8.0), 150 mM NaCl, 10 mM MgCl.sub.2 and 0.5 mM dithiothreitol), 0.02 mM. AMPPNP (an ATP analogue) and 0.02 mM ATP. Panel A shows the cantilever deflection data. Panel B depicts the experimental set-up to follow TopoII-DNA interactions. a) DNA molecule, b) TopoII, c) AFM cantilever, d) laser beam. Panel C evidences the differences in terms of the variance.

[0051] Here again the cantilever covered with TopoII-supercoiled DNA complexes was inserted in the analysis chamber and exposed to several consecutive liquid environments: 1) ATP free solution, 2) buffer containing a non functional ATP substitute, referred to as AMPPMP 3) ATP enriched medium. AMPPMP is a non-hydrolysable ATP analogue which inhibits TopoII activity. By injecting the ATP containing solution into the analysis chamber a significant increase was noticed in the cantilever fluctuation variance as compared to the recordings done in ATP free buffers or in AMPPMP containing solutions. The results of these experiments are shown in FIG. 7.

Example 3

Antibiotic Sensitivity Detection

[0052] The presented method is sensitive enough to detect external as well as internal motion of bacteria and can be used to assess the action of antibacterial agents. This experiment shows the capability to explore the sensibility of bacteria to antibiotics with a very high temporal resolution ranging between seconds and minutes.

[0053] Motile bacteria (Escherichia coli), resistant to kanamycin but sensitive to ampicillin, were adsorbed to both sides of a cantilever. The bacteria were successively exposed to both antibiotics to determine the impact on the bacterial motion/viability (see FIG. 7). In these experiments the cantilever was introduced in the analysis chamber and exposed to a solution containing bacteria that eventually attached to its surface. The system was then exposed to: 1) nutriment depleted buffer, 2) nutriment solution (Lysogeny broth (LB)), 3) kanamycin-enriched LB solution 4) LB solution 5) ampicillins-enriched LB solution and, finally, 6) LB solution. It appeared that the bacterial motion increased during step 2), diminished when exposed to kanamycin at step 3), increased again in the presence of nutriment at step 4) dramatically decreased in the presence of ampicillin at step 5) and remained at the same value despite the presence of the nutrient solution at step 6).

[0054] FIG. 8 depicts the evolution of the cantilever fluctuations and of its STD during the different phases of the experiment,

[0055] The experiment was performed using an APTES-coated AFM cantilever. The different phases of the experiment are depicted: PBS, bacteria in PBS, bacteria in LB, exposure to kanamycin, washing with LB, exposure to ampicillin, washing with LB. The top panel shows the cantilever deflection data, while the bottom one evidences the differences in terms of the variance.

[0056] Similar experiments were performed, using only ampicillin as antibiotic. In particular, in a series of parallel experiments, the ampicillin concentration was changed. This allowed obtaining a quantitative dose dependence graph of the variation of the fluctuations as function of the antibiotic concentration (FIG. 9) that has been used to predict with very high accuracy the Minimum Inhibitory Concentration (MIC) and the Minimum Bactericidal Concentration (MBC). The set of experiments were performed using AFM cantilevers. The different concentrations of ampicillin cause different variance values of the cantilever's fluctuations. The curve indicates a sigmoid fit of the experimental data. The line is the tangent at the half-height variance value. The intercepts of this line with the 1.0 and 0.0 axes can be defined respectively as the MIC and MBC of the bacteria.

[0057] Later on, similar experiments were repeated using non-motile bacteria (Staphylococcus aureus) susceptible to ampicillin. These bacteria also decreased dramatically their internal movements as soon as exposed to ampicillin. The results of the cantilever motion RMS are depicted in FIG. 10.

[0058] In this experiment an APTES-coated AFM cantilever was used. The different phases of the experiment are depicted: PBS, bacteria in PBS, bacteria in LB and exposure to ampicillin. The top panel shows the cantilever deflection data, while the bottom one evidences the differences in terms of the variance.

[0059] They demonstrate that the method can indifferently be applied to monitor motile as well as non-motile bacteria.

[0060] Finally, more experiments have been successfully carried out using, as test objects, slow growing bacteria such as Bacillus Calmette-Gurin (BCG, a vaccine towards the bovine tuberculosis).

[0061] To summarize, the present invention provides a device and a method that detect motion of nano to micrometer sized systems with a high spatial and temporal resolution. The method can be used to (but is not limited to) monitoring conformational changes of single molecules, biochemical reactions, drug-target interactions as well as internal and external motions of cells and bacteria. Due to its high sensitivity to movement, it can be used as a detector of life presence in extreme environments (e.g. extra-terrestrial environments). The procedure improves the existing technology (16-24) by evidencing easily and quantitatively even the slightest fluctuation of the motion detector and can be utilized in any kind of environment, especially in physiological medium. The achievable fluctuation and temporal resolution permits to predict its potential application to a vast number of fields, such as (but not limited to) cellular and molecular biology, bacteriology, microbiology, drug development, high-speed pharmaceutical evaluation, or molecule conformational monitoring. In this framework, it is of the highest interest the application of this technique to slow growing bacteria, such as Mycobacterium tuberculosis. Moreover, since the operating principle is extremely simple and the required materials are standard and completely reusable (electronics, microfluidics, mechanics), a device based on such invention has very low manufacturing and maintenance costs. Finally it can be easily parallelized by combining several sensors in order to improve measurement throughput and reliability.

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