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From the Centers for Disease Control and Prevention, United States Public Health Service, Department of Health and Human Services, Atlanta, Georgia
| Abstract |
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| Introduction |
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Synthesis of labeled cDNA probes from preparations of total RNA is the most promising alternative to purified mRNA for array applications. Indeed, CLONTECH Laboratories (Palo Alto, CA) and Research Genetics (Huntsville, AL), both manufacturers of filter arrays, include protocols in the user manuals for the preparation of cDNA probes from 0.510 µg of total RNA. Polymerase chain reaction (PCR)-based cDNA methods for amplification from limited amounts of RNA are also being used for differential gene expression profiling. The SMART PCR cDNA synthesis method (CLONTECH Laboratories) was used in gene expression profiling experiments to produce cDNA libraries from total RNA that were representative of the mRNA.1 In vitro transcription of heterogeneous cDNA synthesized from total RNA2 has been modified to incorporate biotin into the probe and adapted to high-density arrays.3 Key to these alternative approaches is a reproducible and representative synthesis of complex cDNA probes derived from the mRNA population present in the original sample.
Determining the reproducibility of various cDNA labeling methods with subsequent hybridization to an array is important if we ultimately want to use the arrays to associate specific gene transcripts with a disease process or use arrays as population-based disease screening tools. We evaluated two approaches for synthesizing cDNA probes from total RNA with subsequent hybridization to high-density filter arrays: 1) reverse transcription (RT) of 5 µg total RNA and 2) RT-PCR of 1 µg total RNA with the SMART system. The reproducibility of these two approaches was compared to the current gold standard, cDNA probe synthesized from 1 µg of purified poly(A)+ RNA.
| Materials and Methods |
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Digoxigenin-Labeled cDNA Probes
Labeling methods were based on some of the optimized conditions
for chemiluminescent detection of digoxigenin-labeled cDNA
probes,5
with the following modifications. For the
poly(A)+ cDNA probe, 1 µg of poly(A)+ RNA was reverse transcribed for
55 minutes at 42°C, using the reverse transcriptase, buffer, and
oligo d(T) primers from the Superscript II preamplification kit (Life
Technologies, Gaithersburg, MD) and a dig-11-dUTP nucleotide mix (Roche
Molecular Biochemicals, Indianapolis, IN). The reaction was stopped
with heat at 70°C for 15 minutes, followed by 2 U RNase H (Roche
Molecular Biochemicals) treatment. One microliter of the 20-µl
reverse transcription (RT) reaction was evaluated for dig-11-dUTP
incorporation by denaturing acrylamide electrophoresis. The remaining
19 µl of the preparation was used for hybridization. This
digoxigenin-labeled probe will be referred to as the poly(A) probe in
subsequent sections.
Digoxigenin-labeled cDNA probe from total RNA was synthesized as described above, with the following modifications. Five micrograms of total RNA was reverse transcribed with oligo d(T) for 2 hours at 42°C, with an additional 200 U Superscript II added after the first hour. The labeled cDNA was treated with 2 U each RNase H and RNase A (Roche Molecular Biochemicals) for 20 minutes at 37°C. One microliter of the 20-µl RT reaction was evaluated for dig-11-dUTP incorporation by denaturing acrylamide electrophoresis. The remaining 19 µl of the preparation was used for hybridization. This type of digoxigenin-labeled probe will be referred to as the total RNA probe in subsequent sections.
Digoxigenin-labeled double-stranded cDNA probes were synthesized using the SMART PCR cDNA synthesis kit and the Advantage cDNA PCR kit (CLONTECH Laboratories). The first-strand cDNA synthesis was done as specified in the manufacturers user manual and included 1 µg total RNA, the CDS synthesis primer, the SMART II oligonucleotide, and 200 U Superscript II. The double-stranded cDNA was amplified with Advantage cDNA polymerase mix, PCR primer (from the SMART-PCR cDNA synthesis kit), and dig-11-dUTP nucleotide mix. A 1-µg total RNA sample without RT was included to monitor DNA contamination. The PCR conditions were 95°C for 1 minute, followed by 15 cycles of 95° for 5 seconds, 65°C for 5 seconds, and 68°C for 6 minutes. One microliter of the 100-µl PCR reaction was evaluated for dig-11-dUTP incorporation by agarose gel electrophoresis. The no RT control sample was also evaluated for dig-11-dUTP incorporation in this manner. Fifty microliters of the labeled PCR product was used in the hybridization. This type of digoxigenin-labeled probe will be referred to as the SMART probe in subsequent sections.
Hybridization and Chemiluminescent Detection
All digoxigenin-labeled probes were hybridized to the Atlas Human
cDNA expression array (CLONTECH). Atlas cDNA expression arrays contain
588 carefully selected cDNA fragments ranging in size from 200 to 600
bp arrayed in duplicate on nylon membranes. Hybridization and
chemiluminescent detection of the arrays were done as previously
described,5
except for the following modifications for
each of the various probes. Hybridization was extended to 48 hours at
42°C for the total RNA probes. Hybridization of the SMART probes was
overnight at 44°C. Poly(A) and total RNA probes were denatured at
95°C for 3 minutes. The SMART probes were denatured by boiling for 10
minutes. All filters were prehybridized with 100
µl/cm2 Dig Easy Hyb (Roche Molecular)
containing 0.5 µg/ml cot DNA and poly dA (amounting to 10 ml of
prehybridization solution) and hybridized with 50
µl/cm2 Dig Easy Hyb containing 0.5 µg/ml cot
DNA and the specified volume of probe. For Atlas membranes, this
corresponds to 5 ml of hybridization solution per membrane.
Image Acquisition
The chemiluminescent signal generated by CDP-Star was detected by
a 1-hour exposure to Lumi Film (Roche Molecular Biochemicals). The film
was scanned on a flatbed scanner, and tagged image file formats were
generated. These array image files were subsequently loaded into
BioNumerics (Applied Maths, Kortrijk, Belgium) for gene intensity
quantification. Gene hybridization intensities were determined after
background subtraction. Because of the variability in background level
between the array images, each array image was normalized to itself.
This was done in BioNumerics by defining the lowest intensity blank
control on the filter to zero, and the highest intensity positive
control on the filter to 100%. The program quantified all gene
intensities according to the set calibration. To compensate for
experimental variability, we calculated a cutoff value (COV) to
determine positive and negative values. The COV for each image was
determined using the average of the three negative controls on the
filter image with the lowest intensity plus one SD.
Data Analysis
We assessed the reproducibility of the gene hybridization
intensities for triplicate readings of each cDNA labeling method, using
two approaches: the Pearson correlation and the concordance
correlation.6
The Pearson correlation measures a linear
relationship between a pair of readings, and the concordance
correlation measures the level of agreement between two or more
readings in relation to the 45° identity line. Because the Pearson
correlation is limited to a pairwise calculation, experiment 1 was
compared to experiment 2, then experiment 1 to experiment 3. The lowest
of these two Pearson coefficients is shown. All 588 normalized
numerical gene values for each image were used in the calculations.
Statistical analysis used BioNumerics, Microsoft Excel, and SAS (SAS
Institute, Cary, NC).
| Results |
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To evaluate the representation of the two probes synthesized from total RNA, we compared the gene expression profile of the total RNA and SMART probes to that generated by the poly(A) probes. Of the 150 positive genes detected with the three poly(A) probes (the gold standard), 97 (65%) were detected with all total RNA probes and 122 (81%) with all SMART probes. Of the 342 genes not detected with the poly(A) probes, 293 (86%) were also negative with the total RNA probes and 225 (66%) were negative with the SMART probes.
| Discussion |
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Reproducibility is affected by all steps of the assay. We evaluated the
impact of two different labeling methods for probes from total or
poly(A)+ RNA isolated from the same source by performing each labeling,
hybridization and image analysis in triplicate. Reproducibility for
each method was evaluated graphically (Figure 1)
. For the 588-gene
array, triplicate assays for the poly(A) probe gave concordant results
for 83.6% of the genes. The total RNA probes gave the lowest number of
concordant results (73.1%). In each case, a few genes fell outside of
the twofold cutoff lines, but a greater number were detected in only
one or two experiments. Concordance values for these alternative probe
synthesis approaches with high-density filter arrays have not
previously been reported. Mahadevappa and Warrington3
report 83% concordance for 1779 genes assayed with a fluorescent
microchip array.
Concordance was measured using two different correlation coefficients. The reproducibility index6 is designed to "evaluate the agreement between two or more readings from the same sample by measuring the variation from the 45° line through the origin (the concordance line)." Other coefficients, such as the Pearson correlation coefficient, measure a linear relationship but are limited to a pairwise comparison and do not detect scatter from the concordance line. In these comparisons, the Pearson and reproducibility index followed a similar trend. The range of the reproducibility index was slightly greater, suggesting that it may be a more refined measure of concordance.
Neither coefficient reflects the true significance of the discrepant values. From a technical point of view, there are a number of steps in the procedure that can be the source of these discrepancies. From a biological perspective, the complexity of the mRNA template and the efficiency of the enzymatic reactions may also be the explanation for these discrepant values. There have been attempts to preserve mRNA complexity by increasing the efficiency of the RT reaction.7 Amplification can also be a source of variability in the experimental procedure.8 All three probe labeling approaches we used here involve an RT step, and all three probes had similar levels of discrepant gene detection. This argues that the discrepant values are due to sample complexity and RT, rather than amplification. The Smart PCR cDNA method was originally developed to produce a high-quality, full-length cDNA for library construction. Recently, the Smart PCR cDNA synthesis was used to confirm differentially expressed genes identified on microarrays.1
Having established the reproducibility of each method, we compared the gene expression profile for each of the total RNA labeling methods to that obtained for the poly(A) probe. Purified mRNA from a total RNA sample has served as the gold standard for gene expression analysis in most array applications. The SMART probe detected 81% of the genes detected with the poly(A) probe, compared to 65% for the total RNA probe. In fact, the SMART probes detected more genes than did the poly(A) probes (212 versus 150). An apparent increase in representation for a total RNA sample relative to poly(A)+ RNA was described for an in vitro transcription labeling system.3 Because poly(A)+ RNA requires extensive purification, loss may occur during all of the isolation steps. The 1 µg poly(A)+ RNA used in the hybridization is derived from approximately 100 µg of total RNA. In contrast, 1 µg total RNA template for the SMART probe represents 0.01 µg poly(A)+ RNA. The PCR method clearly boosts the sensitivity of detection. The expression of those genes detected only by the SMART probes will have to be validated.
We conclude that gene expression analysis using high-density filter arrays with probes generated from either poly(A)+ RNA or total RNA shows a reproducibility similar to that reported for fluorescent microarrays. The SMART probe synthesis method is extremely reproducible and efficient. For situations with limited RNA, the SMART probe synthesis from only 1 µg total RNA will give reproducible and representative gene expression profiles. Because only a fraction of the initial cDNA reaction is subsequently labeled, this approach generates additional material that can be used for further testing and validation.
| Footnotes |
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Accepted for publication June 1, 2000.
| References |
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