![]() | ![]() |
Formats:
|
||||||||||||||||
Copyright © Copyright 2005 by RNA Society Simple, quantitative primer-extension PCR assay for direct monitoring of microRNAs and short-interfering RNAs Rosetta Inpharmatics, A wholly owned subsidiary of Merck & Co., Inc., Seattle, Washington 98109, USA Reprint requests to: Christopher K. Raymond, Rosetta Inpharmatics, 401 Terry Avenue N, Seattle, WA 98109, USA; e-mail: christopher_raymond/at/merck.com; fax: (206) 802-6411. Received June 28, 2005; Accepted August 29, 2005. This article has been cited by other articles in PMC.Abstract There has been a surge of interest in the biology of microRNAs and the technology of RNA interference. We describe a simple, robust, inexpensive assay for quantitative analysis of microRNAs and short-interfering RNAs. The method relies on primer extension conversion of RNA to cDNA by reverse transcription followed by quantitative, real-time PCR. Technical parameters critical to the success of the assay are presented. Measurements of microRNA levels are sensitive, with most assays allowing measurements in the femtomolar range, which corresponds to tens of copies per cell or less. The assay has a high dynamic range and provides linear readout over differences in microRNA concentrations that span 6–7 orders of magnitude. The assay is capable of discriminating between related microRNA family members that differ by subtle sequence differences. We used the method for quantitative analysis of six microRNAs across 12 tissue samples. The data confirm striking variation in the patterns of expression of these noncoding regulatory RNAs. Keywords: primer extension, quantitative PCR, locked nucleic acid, microRNA, siRNA, SYBR green INTRODUCTION MicroRNAs (miRNAs) are endogenous regulators of gene expression that are expressed as precursor transcripts from genomic DNA (Bartel 2004). Short-interfering RNAs (siR-NAs) are derived from double-stranded RNA molecules (Tomari and Zamore 2005). Both are processed into ~21-nucleotide (nt), single-stranded molecules that become incorporated into the RNA-induced silencing complex (RISC) (Liu et al. 2004; Song et al. 2004). RISC mediates down-regulation of gene expression through translational inhibition, transcript cleavage, or both (Tang 2005). RISC is also implicated in transcriptional silencing in the nucleus of a wide range of eukaryotes (Morris et al. 2004; Matzke and Birchler 2005). Analytical tools for monitoring nucleic acids are an indispensable part of molecular biology. Several groups have described microarray methods for monitoring microRNA expression (Babak et al. 2004; Barad et al. 2004; Miska et al. 2004; Nelson et al. 2004; Sempere et al. 2004; Sun et al. 2004; Thomson et al. 2004). These efforts have provided a qualitative overview of microRNA expression patterns in cell lines and in normal and diseased human tissues (Babak et al. 2004; Baskerville and Bartel 2005). With gene expression microarrays, quantitative, transcript-specific PCR assays have proven to be a powerful complementary tool for validating initial observations and for extending data for transcript regions that are not addressed by probes on the array. In an analogous manner, we sought to create a quantitative assay for miRNAs that would allow us to assess absolute copy (Lagos-Quintana et al. 2003; Lim et al. 2005) numbers and a flexible assay for siRNAs that would allow us to measure any engineered interfering sequence. Several detection methods have been reported in the literature, including Northern blots (Lagos-Quintana et al. 2003; Lim et al. 2005), primer extension (Zeng and Cullen 2003), Invader Assay (Allawi et al. 2004), signal-amplifying ribozymes (Hartig et al. 2004), and mirMASA bead-based technologies (Babak et al. 2004). None of these approaches could be easily implemented in our laboratory, so we sought to construct an assay method by combining existing molecular biology techniques. The research of Zeng and Cullen (2003) demonstrated that primer extension (PE) was a viable method for quantitative analysis of microRNA expression. Rather than using radioactive band-shift assays, we wished to detect primer-extended products by quantitative PCR (qPCR). The short length of miRNAs and siRNAs presents a unique challenge in PCR design. Most conventional PCR primers are similar in length to interfering RNAs, implying that very short primers would be required for assay design. Locked nucleic acids (LNA) possess a 2′-O,4′-C methylene bridge in the ribose moiety of nucleotide (Petersen and Wengel 2003). The modification stabilizes the conformation of the sugar group and thereby increases the hybridization affinity of oligonucleotides that contain LNA bases. These nucleotide analogs are an integral part of PCR primers used in the assay. We also conducted a systematic survey of sequence length requirements necessary for sequence-specific PE. Oligonucleotides that were 10–12 nt in length promoted highly efficient PE cDNA synthesis from miRNA templates. Lastly, Schmittgen et al. (2004) report a qPCR method for monitoring of microRNA precursors that relies on SYBR green detection of short amplicons. We combined PE cDNA synthesis, LNA-containing short PCR primers, and SYBR green qPCR to develop the primer-extension, quantitative PCR (PE-qPCR) method described here. RESULTS AND DISCUSSION Quantitative miRNA/siRNA assay design The PE-qPCR assay involved two steps (Fig. 1A 1A).
For assay refinement, we focused on two critical parameters (Fig. 1B 1B). Assay optimization The success of the PE-qPCR method was critically dependent on short, ~15-nt LNA-R primers. Two or three LNA bases were substituted into each LNA-R primer within the first 8 nt from the 5′ end of the oligonucleotide (Table 1). The LNA bases were always separated by at least 1 nt, the substitutions selected were those that raised the predicted Tm by the highest amount, and the final predicted Tm of the selected primers were specified to be ≤55° C.
The contribution of LNA bases in 30 miRNA assays was tested empirically (Fig. 2 2).
The dynamic range of our method was negatively impacted by primer–dimer formation between the GS primer and the LNA-R primer (Fig. 3A 3A).
To test specificity, separate assays were designed to monitor the human let-7 family of eight related sequences (Fig. 4A 4A).
Occasionally assay designs failed, either from failures of the PCR to amplify a product or from nonspecific background that restricts the dynamic range of the assay. We encountered such failures in seven of 130 (~5%) of the miRNA/siRNA assays we created. For three of these assays, we explored substituting alternative universal priming site tails on the GS primers (Table 1). In two cases, a well-behaved assay was recovered. Taken together, these data suggest that most miRNA/siRNA sequences can be monitored using the method we describe. Expression profiles of miRNAs One application of the PE-qPCR technique described here is quantitative analysis of miRNA expression patterns. Assay calibration was performed using the standard curve PCR method to calibrate assay data (Raymond et al. 2004). For standard curves, it was found that DNA oligonucleotides yield CT values that are identical to or 1–2 CT values lower than RNA oligonucleotides. The slopes of DNA and RNA standard curves are identical. Because RNA oligonucleotides are rather expensive and frequently contaminated with impurities, DNA standards were used. This practice results in highly accurate relative measurements between samples, but it may lead to an underestimation of absolute expression levels. In Figure 5 5,
In principle, the assays that are described have the potential to detect both mature and precursor forms of micro-RNAs. To test this, the precursor of miR-124 was generated by in vitro transcription. We used pre-miR-124 specific PCR primers in a method similar to that described by Schmittgen et al. (2004) to generate standard curve data of the synthetic precursor species and to measure the levels of precursor present in human tissue total RNAs (Fig. 5 5, CONCLUSIONS We have created a simple, robust, inexpensive tool for monitoring of individual miRNAs and siRNAs. We anticipate this tool will find use for monitoring temporal, spatial, and pathological patterns of miRNA expression in human tissues and in samples derived from experimentally tractable organisms. Moreover, the method can be applied to engineered siRNAs, suggesting it will be a useful tool for investigating RNA interference in model systems. MATERIALS AND METHODS All of the oligonucleotides described here (Table 1) were purchased from Proligo LCC. MicroRNA precursor molecules were produced by in vitro transcription using the MessageMuter shRNA production kit from Epicentre. SuperScript III reverse transcription kits (InVitrogen Corp.) were used to convert miRNAs and siRNAs into cDNAs. For reverse transcription, 6 μL of RT master mix (2 μL of water, 2 μL 5× buffer, 0.5 μL of 0.1 M DTT, 0.5 μL of 10 mM dNTPs (InVitrogen), 0.5 μL of RNAse OUT (InVitrogen), and 0.5 μL of SuperScript III enzyme) were combined with 2 μL of 0.5 μM GS primer and 2 μL of template in a 96-well plate. For detection of precursor microRNA species, siRNA duplexes or shRNA hairpins, the GS primer, and template were premixed, heated at 85° C for 2 min, snap-chilled on ice, and RT premix was added. This step was found to be unnecessary for optimal detection of microRNAs. Hairpin duplexes containing an siRNA duplex joined by a 4-nt or 9-nt loop sequence were detected at 3–6 CT higher values than siRNA duplexes or single-stranded synthetic templates even with an initial denaturation step (data not shown). The 10 μL RT reaction was incubated at 50° C for 30 min, 85° C for 5 min, cooled to room temperature, and diluted 10-fold with 90 μL of TE (10 mM Tris at pH 7.6, 0.1 mM EDTA). Standard curve dilutions of synthetic oligonucleotides ranging from 10 nM to 10 fM were performed in TE that contained 100 ng/μL of total yeast RNA (Ambion, Inc.). For quantitative analysis of samples, 0.5 μg of First Choice total RNA (Ambion, Inc.) was assayed per 10 μL RT reaction. Following reverse transcription, quadruplicate measurements of 2 μL of cDNA were made in 10 μL final reaction volumes by qPCR in a 384-well optical PCR plate using a 7900 HT PCR instrument (Applied Biosystems). SYBR green PCR mix contained 5 μL of 2× SYBR green PCR master mix (Applied Biosystems), 1.4 μL of water, 0.8 μL of 10 μM universal primer, 0.8 μL of 10 μM LNA-R primer, and 2 μL of sample. qPCR was performed using the manufacturer’s recommended conditions and dissociation curves were typically generated post-run for analysis of amplicon species (data not shown). Following PCR, the results table was exported to Excel (Microsoft Corp.), standard curves were generated, and quantitative analysis for samples was regressed from the raw data. Acknowledgments We thank Alex Amiet of Proligo LLC for helpful discussions about LNA-containing PCR primers. Peter Linsley and colleagues provided critical feedback during the development of this technology. Finally, thanks to John Castle and Chris Armour for fruitful discussions and comments on the manuscript. Notes Article and publication are at http://www.rnajournal.org/cgi/doi/10.1261/rna.2148705. REFERENCES
|
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||
Cell. 2004 Jan 23; 116(2):281-97.
[Cell. 2004]Genes Dev. 2005 Mar 1; 19(5):517-29.
[Genes Dev. 2005]Science. 2004 Sep 3; 305(5689):1437-41.
[Science. 2004]Science. 2004 Sep 3; 305(5689):1434-7.
[Science. 2004]Trends Biochem Sci. 2005 Feb; 30(2):106-14.
[Trends Biochem Sci. 2005]RNA. 2004 Nov; 10(11):1813-9.
[RNA. 2004]Genome Res. 2004 Dec; 14(12):2486-94.
[Genome Res. 2004]Genome Biol. 2004; 5(9):R68.
[Genome Biol. 2004]Nat Methods. 2004 Nov; 1(2):155-61.
[Nat Methods. 2004]Genome Biol. 2004; 5(3):R13.
[Genome Biol. 2004]RNA. 2003 Jan; 9(1):112-23.
[RNA. 2003]Trends Biotechnol. 2003 Feb; 21(2):74-81.
[Trends Biotechnol. 2003]Nucleic Acids Res. 2004 Feb 25; 32(4):e43.
[Nucleic Acids Res. 2004]J Biol Chem. 2004 Oct 29; 279(44):46234-41.
[J Biol Chem. 2004]RNA. 2003 Feb; 9(2):175-9.
[RNA. 2003]Nature. 2005 Feb 17; 433(7027):769-73.
[Nature. 2005]RNA. 2005 Mar; 11(3):241-7.
[RNA. 2005]Nucleic Acids Res. 2004 Feb 25; 32(4):e43.
[Nucleic Acids Res. 2004]RNA. 2003 Feb; 9(2):175-9.
[RNA. 2003]RNA. 2004 Nov; 10(11):1813-9.
[RNA. 2004]