PharmaDD Top News: Business, Technology, Strategic Briefings - Tracking leading techniques and approaches in therapeutic drug discovery and development

 

Sponsored Links:
Prescription Drug Addiction

 

 

Pharmaceutical Discovery, Oct 1, 2005 
Immobilization of Oligonucleotides on a Silicon Surface
By Patrizia Di Pietro , Enrico Alessi , Floriana San Biagio , Luigi La Magna , Gaetano Panvini , Gianfilippo Scicolone , Salvatore Oliveri , Salvo Coffa

Immobilization of Oligonucleotides on a Silicon Surface
Progress towards a DNA-Field-Effect Transistor
Patrizia Di Pietro, Enrico Alessi, Floriana San Biagio, Luigi La Magna, Gaetano Panvini, Gianfilippo Scicolone, Salvatore Oliveri, Salvo Coffa
Pharmaceutical Discovery

Microarray analysis allows scientists to detect thousands of genes in a small sample simultaneously and to analyze the expression of those genes. It promises to enable biotechnology and pharmaceutical companies to more efficiently identify and develop drug targets. Because it also can help identify clinical trial subjects with common biological patterns, microarray analysis can assist drug companies in choosing the most appropriate subjects for participating in clinical trials of new drugs. In the future, this technology has the potential to help medical professionals select the most effective drugs, or those with the fewest side effects, for individual patients.

Identifying drug targets is the main market for the microarray. By comparing the ways in which genes are expressed in a normal individual with a diseased individual, for example, scientists might be able to identify the genes—and hence the associated proteins—that are part of the disease process. Researchers then could use that information to synthesize drugs that interact with these proteins, thus reducing the disease's effect on the body.

By connecting drug response to individual biology, DNA chips will facilitate the integration of diagnosis and therapeutics, as well as the introduction of personalized medicines. (1).

The enormous potential of this technology and its wide applicability are urging the search of new devices to detect DNA hybridization to improve the reliability, ease of use, sensitivity, etc., of the DNA microarray. In fact, conventional microarrays, fabricated on a glass slide and analyzed by confocal scanning fluorescence, generally reflect an organism's entire genome and generate tremendous volumes of data. In many cases, only specialized bioinformatics centers are equipped to properly analyze this information. So it would be particularly attractive to make use of the information processing capability of silicon-integrated circuits to acquire, store and process the genetic information achievable by detecting the hybridization signal of probes and targets on a DNA microarray. The appropriate DNA immobilization on silicon-based surfaces needs to be developed to optimize hybridization, as well as the proper design of silicon-based electronic circuits.

The efficiency of an array mainly depends upon the quality of the surface, the type of the surface treatment and the arraying and covalent immobilization of DNA probes. In particular, the aim is to obtain flat surfaces that are coated uniformly, without patches, because poor coating can lead to poor retention of DNA and, consequently, low quality analytical results (2).

Our proposed solution is based upon substrate 820 Ĺ thermal oxide-coated silicon and a vapor-phase method for coating slides.

Vapor phase and solvent-based coating methods were compared with aminopropiltrimethoxysilane (APTMS) as a coating agent (8). The coated surface's topography and morphology were characterized by atomic force microscopy (AFM) analysis and contact angle measurements. Microarray experiments on glass- and silicon oxide-based slides were performed in order to compare their performances in terms of sensitivity. Probes and targets at different concentrations were tested in order to measure the detection limit and to discover the best couple of concentrations. Finally, the quality of data was measured by computing reproducibility, sensitivity, accuracy, dynamic linear range and local background.

Although label-dependent methods achieve the highest sensitivities, eliminating the labeling steps simplifies the readout and the speed and ease of nucleic acid assays. Thus, we developed a label-free approach to detect DNA hybridization using a silicon field-effect sensor. The process is based upon monitoring the changes in surface potential when DNA hybridizes on the sensor surface. This sensor is similar in structure and behavior to a metal/oxide/semiconductor (MOS) device, which essentially is a capacitor with variable capacitance, depending on the potential applied. Our field-effect device, however, lacks the MOS device's metallic layer, employing instead an an electrolytic solution, that is conveniently polarized by a reference electrode. The overall structure is then formed by the solution in contact with the oxide (gate dielectric) on top of the silicon substrate, and is called EIS (electrolyte/insulator/semiconductor).

Results of the preliminary test to validate the detection system—using a double-stranded DNA instead of the above mentioned oligonucleotides—are reported here (see Results and Discussion). In one experiment, the cDNA was immobilized on the EIS surface, and changes in capacitance-voltage characteristics during the immobilization and denaturation processes (double-helix vs. single-strand form) were observed. The silicon dioxide used as insulator was functionalized both with APTMS and glycidoxypropyltrimethoxysilane (GOPS). However, after the measuring and washing steps, we observed, by variation of contact angle and shift of capacitance-voltage characteristics, that GOPS yielded the most reproducibility and the greatest stability of the silane layer, in agreement with previous reports(6, 7). The results reported here therefore refer to GOPS-functionalized surfaces.

This approach demonstrates the most direct and simple translation of genetic information to microelectronics.

Experiment

Materials. Isopropylic alcohol 100%, acetone 100%, sulphuric acid 96% and hydrogen peroxide 30% (all electronic chemicals) were purchased from Ashland Italia s.p.a. (San Giuliano-Mi, Italy). 3- APTMS 97% and GOPS (98%) were obtained from Aldrich (Milano, Italy)

Tris-Cl 1M pH 7.5 (Sigma), Na2HPO4 (Sigma) NaCl powder (Sigma), Tween 20 (Sigma), 20X SSC (0.3 M sodium citrate/3M sodium chloride; Euroclone Ltd., (Paignton-Devon TQ4 5DN- UK), sodium dodecyl sulphate (SDS; Sigma) and NaOH (Sigma) were used.

Oligonucleotides were purchased from MWG Biotech AG (Ebersberg, Germany). As substrates, 820 Ĺ thermal oxide-coated silicon wafers (manufactured by ST) were used for the grafting experiments. The EIS structure was composed by n+ (1020 cm-3)/ n- (1015 cm–3)/ SiO2 (350 Ĺ, thermal) and a back-side contact with a three-layer metal. The Ag/AgCl reference electrode used to ensure a stable electrical contact with the solution was by Metrohm (Herisau, Switzerland). All references to water indicated ultrapure water (resistivity >18 Ω/cm).

Substrate preparation. The substrate was washed in the cleaning solution (MeOH/HClconc. 1÷1 ratio) under stirring and at room temperature, for 30 min. The cleaned surface was activated by immersion in NaOH 0.1 M solution for 30 min under stirring at room temperature. Subsequently it was washed in water and dried under a nitrogen flow. Finally, the substrate was cured in O2 plasma (20 W, 20 sccm of O2, for 45 sec.). The substrate surface was silanized with 3-APTMS in a CVD (chemical vapor deposition) reactor at 75 °C. (This process is called vapor-phase silanization, or VPS.) Then it was washed in acetone in an ultrasound bath and dried under nitrogen flow.

Another substrate was prepared by liquid-phase silanization (LPS, in which the silanizing agent is mixed with a liquid organic solvent), which after the activation step has been immersed for 30 min in 1% APTMS solution in acetone. Afterwards, the substrate was washed in acetone and dried for 45 min at 110 °C.

Substrate characterization. A silanized surface was characterized by AFM and contact angle measures. AFM was carried out in air by using a multimode/nanoscope IIIa module (Digital Instruments, Santa Barbara, CA) equipped with an extender electronics module (Digital Instruments) in tapping mode. Commercially available tapping etched silicon probes (Digital Instruments) with a pyramidal shape tip having a nominal curvature of 10 nm and a nominal internal angle of 35° were used. Height and phase images were recorded contemporaneously by collecting 512 x 512 points for each scan and maintaining the scan rate below 1 Hz.

The contact angle of water on the SAMs (self-assembled monolayers) was measured at room temperature using the Cam 200 contact angle meter (KSV Instruments Ltd., Helsinki, Finland) The resolution of the CCD (charged-coupled device) was 512 x 512. All the reported results are to be intended as obtained from measurements carried out on manifold samples, varying the contact area on the surface and taking the average of the left and right angles.

Immobilization of a DNA oligonucleotide. We used a 50-mer oligonucleotide as a probe for microarray experiments. Moreover, two distinct types of controls were used—the negative control and a performance control—which aimed to measure the microarray's accuracy. The probe was spotted at different concentrations—10, 5, 1, 0.1, 0.01 µM—while the negative control and performance control were spotted at 1 µM. Two types of targets were used, one complementary to probe and labeled at its 5' end with Cy3; the second complementary to the performance control and labeled with Cy5. They were hybridized at different concentrations—10, 1, 0.1, and 0.01 nM. A grid of seven rows by six columns was designed; each row had a distinct concentration of the same probe, the grid was replicated five times. Oligonucleotides were diluted at different concentrations in sodium phosphate buffer 0.1 M pH 8 and spotted onto activated slides by the Piezoarray (PerkinElmer, Boston, Massachusetts, USA) non-contact piezo-driven microdispensing system. After spotting, the slides were kept in a humidified chamber and incubated in water bath at 60 °C for 2 h.

After incubation time, the slides were dipped (three times) into washing buffer at high ionic force (10 mM TRIS-Cl; 1M NaCl; 0.05% Tween 20) to remove non-covalently bound nucleic acids; dipped into water (three times) and then dried in a stream of N2 before proceeding to the hybridization step.

Hybridization. The printed slides were pre-hybridized for 45 min at 65 °C in a buffer solution containing 6X SSC and 0.5% SDS. Then the slides were washed in water at room temperature and dried in a stream of N2.

5'-Cy5-labeled and 5'-Cy3-labeled oligonucleotides were diluted in pre-hybridization buffer solution and applied to the slides; hybridization was performed under cover slips in a humidifier chamber at 65 °C for a minimum of 1.5 h.

At the end of hybridization time, un-hybridized oligonucleotides were removed by washing with 0.1X SSC and 0.1% SDS for 10 min. After washing, the slides were dried in a stream of N2 and scanned with a confocal laser scanner.

Image acquisition and data analysis. The fluorescent images were acquired by the ScanArray Express (Perkin Elmer) confocal laser scanner at different settings of laser power and photomultiplier (pmt): 60%, 70% and 80%. Microarray image analysis was performed by the Microarray Analysis Tool of the ST Gene Platform™ (ST Microelectronics).

 

Figure 1. Standard deviation of spot intensity values average over grids at different concentrations.
Capacitance–voltage measurements. The slices forming the EIS structure were mounted in a Teflon holder and sealed from the solution with a rubber O-ring, defining an active surface area of 0.6 cm2 (Figure 1). An Ag/AgCl reference electrode was used to ensure a stable electrical contact with the solution when it was biased with respect to the back-side electrode. The PTFE cell is capable of a 4-mL solution volume, into which the reference electrode was bathed. The field-effect readout is most sensitive when using a solution with low ionic strength, which is when counter-ion screening of the charged molecules is minimized; we used a phosphate buffer 10 mM NaCl, 2 mM NaH2PO4. Adding NaOH, the pH of the solution was set to 7 and continuously monitored to assure its constancy.

The capacitance-voltage (C-V) output characteristics were recorded using a potentiostatic/galvanostatic system (AUTOLAB PGSTAT30 by EcoChemie, Utrecht, The Netherlands) interfaced with a personal computer through a GPES/USB (general purpose electrochemical system) card. Capacitance was measured at different dc biases, from –1.5 V to 1.2 V, and at various ac frequencies in the range of 10 Hz to 10 KHz.

We used a polymerase chain reaction (PCR) product, amino-terminated of cDNA (1500 bp) 90 ng/µL in concentration. Due to the high contact angle value of the GOPS silanized surface, as well as to the large solution volume being used, a great deal of DNA is required. To overcome this issue, the sample was bathed in NaOH solution at pH = 11 for 30 min. and then rinsed. This way we were able to use a volume of only 20 µL. After the immobilization and the relative measures, denaturation was performed by placing the sample in 80 °C water, followed by rinsing and drying.

Results and Discussion

 

Figure 2. An AFM image shows a silicon oxide surface obtained by thermal growth.
In order to investigate the surface changes during the silanization process, the slides treated with both type of silanization methods were examined by AFM and compared to the pre-treated measurement results. Figure 2 shows AFM analysis of a typical silicon oxide surface obtained by thermal growth. The beginning surface was very flat, with a mean roughness of 1.6 Ĺ. After silanization, the roughness values increased, though the CVD-associated roughness was much lower than that for LPS. Figure 3 shows an AFM inspection of a surface silanized by VPS. The surface is homogenous and its mean roughness was 2.6 Ĺ. We also conducted an AFM inspection on an LPS-silanized sample. In this sample (Figure 4), the roughness value increased to 4.4 Ĺ. Moreover, the surface appeared irregular, with irregular organic structures, presumed to be polymeric aggregates.

 

Figure 3. An AFM image shows the silanized surface prepared by VPS.
The preparation of the silane surface is a crucial step in microarray technology because often it runs into some problems, like an increased roughness due to polymerization reactions in aqueous solution. So, as shown above, the surface results are not very homogeneous or regular for this type of application because the increased roughness introduces failures as gaps or bridges in the final silane film. The absence of water in our protocols suppressed the unwanted polymerization and produced a low roughness value in a homogeneous surface suitable for further processing.

 

Figure 4. An AFM image shows the silanized surface prepared by LPS.
On the basis of these studies, we think that 820 Ĺ thermal oxide-coated silicon is a good substrate for microarray applications, and our coating method with APTMS in vapor phase produces a surface coating particularly suitable for microarray studies.

The contact angle measurements of silanized surface performed with water have yielded a value of 62±3 degrees, according to the literature (3). This value is typical of a rather hydrophobic aminated surface.

 

Figure 5. Silicon oxide hybridized with a target at 10 nM. The scanner setting was 70% laser/70% PMT.
In order to verify the reproducibility and the sensibility of the ST microarray system, we conducted a series of experiments on thermal silicon oxide and glass slides. In figure 5 is an images obtained by the scanner. The image has been acquired to 70% of the laser power and PMT and refers to one slide hybridized with a target at the concentration of 10 nM. The image shows how the controls have worked well, the negative control (fourth row) not showing any hybridization and the performance control (sixth row) showing specific hybridization (no cross hybridization). Moreover, at these settings and concentration of the target, it also is possible to see also the lower concentration probe (0.01 µM, fifth row).

 

Figure 6 shows compares the fluorescent signals elicited from silicon and glass slides. Both samples were hybridized with the same concentration of target, but the glass slide shows a much weaker signal, even at higher settings of laser power and pmt.

 

Figure 7. Reproducibility over experiments and the linear dynamic range in the interval of 10–0.01 uM for silicon slides. Negative and positive controls work properly. Power laser = 70% and PMT gain=70%
The data from all images have been processed by statistical analysis to estimate some significant parameters for microarray system quality, such as reproducibility and background. Figure 7 shows the reproducibility among three experiments of the same type and the linear dynamic range. Concentration of spotted probe is plotted on the x-axis, with fluorescence intensity on the y-axis. The three curves agree well, almost perfectly overlapped. Moreover, the microarray hybridization data are linear, since at the diminishing of the concentration of the spotted DNA we have a proportional decrease of fluorescence intensity.

 

Figure 8. Local background for each spot computed as the median of the region around the spot. Local background = average of all background medians.
Figure 9 shows a graph similar to that in Figure 6, comparing the performance of silicon and glass. Although the glass shows good reproducibility, comparable to the silicon, its signal intensity was twenty times lower.

Figure 1 analyzes the reproducibility of the same experiment. The x-axis plots different concentrations of spotted DNA, while in the y-axis shows the the standard deviation of spot intensity values averaged across each row. For example, the first bar represents the standard deviation of spot intensity values averaged in the first row of spots (concentration 10 µM) of the first grid; the second bar represents the same parameter for the row of equal concentration of the second grid, and so on. As the chart demonstrates, the standard deviation values are very low, reflecting good reproducibility in the tested system.

 

Figure 9. A comparison between glass and silicon. At the same concentration the signal captured by SiO2 slides is higher than that of glass slides
Local background, computed as the median of noise in the region around the spot, is another critical parameter. Figure 8 shows local background values for a set of experiments. A set of hybridization experiments, carried out with the four concentrations of target, ranges along the x axis. The y axis plots the median local background. It is worth noting that all values fall in intervals with very low background values.

The limit of detection—defined as the lowest measurable concentration of probe at a specific target concentration—was computed. At the lowest target concentration (0.01 nM) and at 70% of laser scanner power and pmt, 1 µM of spotted probe was detected as the limit.

The results shown above clearly demonstrate that the use of silicon, rather then glass, provides for a more sensible and reliable microarray system. The method assures sensitivity, reproducibility and accuracy—critical parameters for a technology whose main application are in medical and pharmaceutical fields.

 

Figure 10. Capacitance–voltage characteristics of the successively EIS functionalized structure.
Figure 10 shows the series of C-V characteristics for the sequence of modifications that the surface underwent. Silanization with GOPS—the first step—is on the left; after the immobilization—the second step—the curve translates to the furthermost right. After denaturation—the last treatment—the graph falls between teh other two.

Shifts of the curves along the voltage axis are indicative of charge density variations at the functionalized SiO2 surface in contact with the solution (4). In fact, changes in the potential at the electrolyte-insulator interface produce variations at the silicon-insulator interface, namely relative charge carrier density variations in the space-charge layer of the semiconductor: this brings the structure to changing its threshold voltage (5). The measured shifts are easily explained on the basis of the negatively charged DNA molecule: the augmented negative charge on the surface causes a less negative necessary potential to obtain substrate inversion.

While the trends of the shifts were always in the same directions, we did not obtain a constant change between the curves. The data do show a strong correlation between the observed shifts and the alteration of the surface, so this label-free method can be used to quickly and readily probe the presence of DNA on a functionalized substrate. Not only can the DNA immobilization phase be monitored, but its chemical state modifications can be monitored as well. Silicon is the basis for most microelectronics devices, so it follows logically that it should be possible to fabricate field-effect devices to directly detect and transduce hybridization of oligonucleotides, as our results indicate.

Conclusions

The development of label-independent methods that can monitor hybridization and are simple and scalable still is in its infancy. To approach these goals, we anticipate further research toward improvement of concentration sensitivity and of specificity through optimization of experimental conditions, improved surface functionalization and integration in small-volume fluid handling systems. Particularly, sensitivity and specificity are of critical importance for applications in the medical and pharmaceutical fields.

Patrizia Di Pietro*, Enrico Alessi, Floriana San Biagio, Luigi La Magna, Gaetano Panvini, Gianfilippo Scicolone and Salvatore Oliveri are on the Lab-on-Chip R&D Team at STMicroelectronics. Salvo Coffa, is director RIG-MLD group, STMicroelectronics. Patrizia Di Pietro can be reached at STMicroelectronics, Stradale Primosole, 50, 95121 Catania Italy. E-mail

References

1) K. Jain. "Applications of biochip and microarray systems in pharmacogenomics, Pharmacogenomics." 2000 Aug;1 (3):289-307.

2) J. Worley, K. Bechtol, S. Penn, D. Roach, D. Hanzel, M. Trounstine and D. Barker. "A system approach to fabricating and analyzing DNA microarrays," Microarray biochip technology, Edited by Mark Schena. 2000 BioTechniques Books, Natick, MA. pp 73-76

3) V. Balladour, A. Theretz and B. Mandrand, J. Colloid and Interface Sc. 194, 408–418 (1997).

4) D.E. Yates, S. Levine and T.W. Healy, J. Chem. Soc. Faraday I , vol. 70, pp. 1807–1818, 1974.

5) S.M. Sze Physics of Semiconductor Devices 2nd edition, Wiley & sons, New York, 1981. pp. 589-594

6) J.P Cloarec, J.R. Martin, C. Polychronakos, I. Lawrence, M.F. Lawrence, E. Souteyrand, "Functionalization of Si/SiO2 substrates with homooligonucleotides for a DNA biosensor," Sensors and Actuators B 58, 394 – 398 (1999)

7) J.P Cloarec, N. Deligianis, J.R. Martin, I. Lawrence, E. Souteyrand, C. Polychronakos M.F. Lawrence, "Immobilization of homooligonucleotide probe layers onto Si/SiO2 substrates: characterization by electrochemical impedance measurements and radiolabelling," Biosensors and Bioelectronics 17, 405–412 (2002)

8) N. Zamatteo, L. Jeanmart, S. Hamels, S. Courtois, P. Louette, L. Hevesi and J. Remacle. "Comparison between different strategies of covalent attachment of DNA to glass surface to build DNA microarray." Analytical Biochemistry 280, 143-150 (2000).