- Methodology article
- Open Access
Fluorescent labeling of NASBA amplified tmRNA molecules for microarray applications
© Scheler et al; licensee BioMed Central Ltd. 2009
- Received: 05 November 2008
- Accepted: 15 May 2009
- Published: 15 May 2009
Here we present a novel promising microbial diagnostic method that combines the sensitivity of Nucleic Acid Sequence Based Amplification (NASBA) with the high information content of microarray technology for the detection of bacterial tmRNA molecules. The NASBA protocol was modified to include aminoallyl-UTP (aaUTP) molecules that were incorporated into nascent RNA during the NASBA reaction. Post-amplification labeling with fluorescent dye was carried out subsequently and tmRNA hybridization signal intensities were measured using microarray technology. Significant optimization of the labeled NASBA protocol was required to maintain the required sensitivity of the reactions.
Two different aaUTP salts were evaluated and optimum final concentrations were identified for both. The final 2 mM concentration of aaUTP Li-salt in NASBA reaction resulted in highest microarray signals overall, being twice as high as the strongest signals with 1 mM aaUTP Na-salt.
We have successfully demonstrated efficient combination of NASBA amplification technology with microarray based hybridization detection. The method is applicative for many different areas of microbial diagnostics including environmental monitoring, bio threat detection, industrial process monitoring and clinical microbiology.
- Lithium Salt
- Nucleic Acid Sequence Base Amplification
- Microarray Signal
- Hydroxylamine Solution
- Dilution Series Experiment
There is a growing need for quick and highly parallel approaches to microorganism detection and identification worldwide. In this paper we present a molecular diagnostics method that combines isothermal amplification of target tmRNA molecule with microarray-based detection. Nucleic Acid Sequence Based Amplification (NASBA) is a sensitive isothermal RNA amplification technology  that offers several advantages over the more commonly used PCR-based methods: it requires simplified equipment, is less sensitive to genomic DNA contamination and therefore more suitable for applications where microbial viability is important . In microbial diagnostics, NASBA has been successfully combined with electrochemiluminescent (ECL)  ELISA  labeled dendrimer  and molecular beacon-based  methods to detect and identify viral and bacterial pathogens. DNA microarrays have recently shown great potential in microbial diagnostics; in investigation of microbial diversity, composition and species identification from environmental and medical samples [7, 8]. In microarray experiments amplified nucleic acid sequences of interest are usually labeled prior to the hybridization experiment. Use of fluorescent labeling protocols for different amplification methods have previously been described [9–12], but to our knowledge no method has been published for direct labeling of NASBA amplified products. Previously published NASBA product labeling methods like NASBA-ELISA  and NAIMA  all require additional secondary enzymatic steps to complete the protocol. Introduction of microarray based detection to NASBA offer the new potential for rapid simultaneous identification of many different amplification products and/or pathogens. Delicate and precise reaction conditions have to be present for NASBA amplification of target RNA with high efficiency, as the method requires simultaneous cooperation and balance between three different enzymes (reverse transcriptase, RNaseH and T7 RNA polymerase) and their respective buffers. Any further modifications to the gold standard NASBA protocol (like the one developed by bioMerieux, patent holder for NASBA technology) for microarray purposes, require cautious approach and carefully conducted experiments in order to maintain adequate RNA amplification yield. The objective of our work is to present a method that combines simple one-step fluorescent labeling of NASBA amplified tmRNA product with microarray hybridization and detection. TmRNA products of bacterial ssrA genes were used as markers because they contain regions of sequence heterogenecity that have previously been successfully applied for microbial diagnostics [13, 14]. Aminoallyl modified UTPs (aaUTPs) were incorporated into nascent RNAs in the NASBA reaction. Following the amplification process, aaUTP modified RNAs were labeled with aminoreactive fluorescent marker Cy3. Fluorescently labeled tmRNA was then used in microarray hybridization experiments. Optimal concentrations for two different aaUTP-salts in NASBA reaction were determined.
The aim of this work was to improve and expand the potential of a combined NASBA-microarray approach by developing a new optimized protocol suitable for further possible use in microbial diagnostics. All together, we have introduced a new method suitable for high-speed parallel detection of RNA targets. NASBA technology, widely used in various microbiology laboratories all over the world, is for the first time combined with microarray based RNA detection technology using simple one-step NASBA product labeling method. Previous methods described so far for NASBA amplicon detection have used additional enzymatic steps after the amplification and secondary labeled probes [4, 5]. In our case, the NASBA protocol was modified by addition of aminoallyl-UTP molecules allowing labeling of the reaction product with aminoreactive fluorescent marker. Indirect labeling of RNA for microarray purposes via incorporation of aaUTPs was preferred over direct incorporation of fluorescently labeled nucleotides, as it has been proved to be more efficient with T7 RNA polymerase based methods . Two different aaUTP salts were compared and both enabled sufficient fluorophore incorporation providing easily detectable microarray signals. Considering that aminoallyl-UTPs tested in the current report are produced as different salts, this may contribute to the difference in RNA quantity in NASBA reaction (Fig. 1A) causing decrease in microarray signal intensities (Fig. 1B). The aaUTP Na-salt may have more negative impact than the Li-salt aaUTP on the co-operation of the NASBA enzymes. Different monovalent cations have previously been shown to have unequal impact on similar enzymatic reactions . However, as the manufactures do not provide exact composition of aaUTP storage solution, other unknown components may also contribute to the observed difference in behaviour of used aminoallyl-UTPs.
In general we have presented here a new optimized protocol for highly potential microarray based detection of NASBA amplified RNA products. Our method is suitable for further possible diagnostic applications where rapid identification of various RNA molecules from bacteria or different microorganisms is needed. The combination of NASBA with microarray detection is particularly advantageous in settings where different bacterial species may be present (such as environmental samples) or in clinical settings where it is necessary to identify one particular infection causing species from a panel of potential pathogens.
Bacterial strain and total RNA purification
Streptococcus pneumoniae strain ATCC 33400 (DSMZ, Braunschweig, Germany) was grown in Brain Heart Infusion Broth (Oxoid, Hampshire, UK). Total RNA was purified from overnight cultures using RiboPure Yeast Kit (Ambion, Austin, TX, USA). Although the RiboPure Yeast kit is not originally intended for RNA extraction from bacteria, high quality bacterial total RNA was obtained without making any modifications to manufacturer's instructions.
Streptococcus pneumoniae NASBA primers used in current experiment
Sequence 5'-> 3'
NASBA product purification and labelling
Following amplification, NASBA products were purified with NucleoSpin RNA Clean-Up kit (Macherey-Nagel, Düren, Germany) and vacuum dried. Labeling of the RNA product was carried out using protocol published by 't Hoen and colleagues with some modifications . The RNA pellet was resuspended in 8,5 μl 0,1 M Na2CO3 and incubated for one hour with 3 nmoles of amino reactive Cy3-N-hydroxysuccinimide ester dye (Enzo, Farmingdale, NY, USA) dissolved in 0,5 μl DMSO (Applichem, Darmstadt, Germany). Excess dye was quenched by addition of 3,5 μl 4 M hydroxylamine solution (Sigma-Aldrich, Steinheim, Germany). Labeled RNA was purified with NucleoSpin kit and quantified using Bioanalyzer 2100 platform with RNA 6000 Nano Chip (both Agilent, Santa Clara, CA, USA) according to the manufacturers manual.
S. pneumoniaespecific microarray
The custom made microarray contained 97 probes, covering whole S. pneumoniae tmRNA sequence (see Additional file 1). Probes were designed with the SLICSel 1.0 software http://bioinfo.ut.ee/slicsel. The average length of probes was 16 nucleotides, their average Tm was 58°C and average ΔG-23 kcal/mol (calculated by DNA-RNA thermodynamics). Probes were ordered from Metabion (Mariensried, Germany) and spotted onto SAL-1 Ultra microarray slides by Asper Biotech (Tartu, Estonia).
Microarray hybridization protocol used in an automated HS-400 hybridization station
Wash: 60 s; Soak: 30 s
4 h 00 min, High agitation
Wash: 90 s; Soak: 30 s
Wash: 90 s; Soak: 30 s
Wash: 90 s; Soak: 30 s
Microarray scanning and data analysis
Slides were scanned using Affymetrix 428 scanner (Santa Clara, CA, USA) λ = 532 nm. Raw signal intensity data was analyzed with Genorama software (Asper Biotech). Fixed concentration of short fluorescent oligonucleotide control sequences ('spikes'), complementary to the control oligonucleotides on microarray, were added to the final 80 μl hybridization solution for normalization purposes. At first step all signals from all microarrays, obtained from dilution series experiment, were rescaled by equating the average of spike-specific signals. Secondly, to compare data from 97 different probes on single microarray, all individual signal intensities were divided with the corresponding probe specific average signal intensity calculated over all microarrays in one replicate experiment. Average over probe-wise normalized signal intensities (relative microarray signal intensities) were then calculated for each dilution series point (for each single microarray). Finally, considering replicate experiments (at least three), confidence intervals (± one SD) were calculated for each average dilution series point (for every different aaUTP concentration).
This work was funded by the SLIC-513771 EU grant. This research was supported by the European Union trough the EuropeanRegional Development Fund, in the frame of Centre of Excellence in Genomics.
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