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Improved Application-Specific cDNA Array
Analyses with AmpoLabeling-LPR, a Probe Synthesis and Labeling Method for
SABiosciences GEArray®
Introduction:
Synthesizing and labeling cDNA probes, like RNA
preparation, is one of the critical factors in cDNA array analysis. The more
abundant, specific and labeled the probe is, the more sensitive and accurate
the array analysis will be. Conventional methods of probe synthesis and
labeling that use only random hexamers or oligo-dT as primers are
non-specific and result in a high background of probe binding and can yield
false-positive or false-negative signals. Consequently, the observed relative
gene expression profile becomes skewed. The AmpoLabeling-LPR method,
optimized for use with the focused and application-specific cDNA GEArray
microarrays, avoids these difficulties. It detects low abundance messages
ordinarily missed by conventional reverse transcription methods. RT-PCR
results verify that the corresponding genes detected by AmpoLabeling-LPR are
indeed expressed in the experimental RNA sample. Furthermore, the
AmpoLabeling-LPR method, but not the conventional method, produces relative
gene expression profiles that closely match RT-PCR derived profiles. The new
probe labeling method is also ideal for applications where total RNA is
limiting. As little as 0.1 micrograms of total RNA can be used. Larger
amounts of RNA can also be accommodated, and the resulting signal intensity
is proportional to the amount of input RNA. Multiple rounds of Linear
Polymerase Replication (LPR) can be used, and the signal intensities are also
proportional to the number of LPR cycles employed. Therefore, the use of
AmpoLabeling-LPR derived probes increases the sensitivity of message
detection in our cDNA GEArray microarrays, and through proper normalization,
keeps your relative gene expression profiles unbiased.
General Procedure for Generating AmpoLabeling-LPR
Probes:
AmpoLabeling-LPR involves three basic reactions:
Random Primer Annealing: RNA is combined with a mixture of
non-specific primers, heated to 70 °C for 3 min, and cooled to 37 °C for 10
min. The non-specific primers anneal to the RNA sample.
Reverse Transcription Reaction: A pre-warmed cocktail of transcription
buffer, RNase inhibitor, and reverse transcriptase are added. The mixture is
incubated at 37 °C for 25 min. The transcriptase synthesizes unlabeled first
strand cDNA complementary to the RNA. Heat at 85 °C for 5 min to stop the
reaction by inactivating the reverse transcriptase and hydrolyzing the RNA to
prevent them from interfering with the subsequent and final step.
Linear Polymerase Replication: A cocktail of LPR Buffer, gene-specific
primers from the desired array kit, biotin-16-dUTP (or alpha-32P-dCTP), and a
thermostable DNA-dependent DNA polymerase is added to the completed RT
Reaction. LPR cycles ensue using the following program: 85 °C, 5 min; 10 to
30 cycles of (85 °C, 1 min; 50 °C, 1 min; 72 °C, 1min); 72 °C, 5 min.
Each cycle generates one strand of labeled second strand cDNA only for the
genes represented by the array and its gene-specific primer mix. The reaction
is stopped immediately by boiling.
The AmpoLabeling-LPR protocol (Figure 1) is therefore easy to use and can be
carried out in a single microfuge tube in two hours.
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Figure 1: Diagram of AmpoLabeling-LPR Probe Synthesis and Labeling
Protocol.
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Proportionality With Input RNA and LPR Cycle Number
Probe amplification is the key to detecting low abundance
messages and to using small amounts of RNA. Conventional methods of reverse
transcription do not include an amplification step. As a result, they only
detect medium or high abundance messages and require larger amounts of RNA.
The results in Figure 2 demonstrate that overall array signal intensity
increases with respect to increasing amount of input RNA used in the
AmpoLabeling-LPR protocol. In fact, for several messages, the dependence is
linear throughout the range tested. Furthermore, as little as 0.1 µg of total
RNA can be used to achieve a gene expression profile. Figure 3 illustrates
that overall array signal intensity also increases with respect to the number
of cycles of linear polymerase replication (LPR) used. Some signals do
saturate at high levels of input RNA (data not shown) or at a high number of
cycles. However, with proper normalization, these phenomena do not affect
relative gene expression profiling results.
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| Figure 2: AmpoLabeling-LPR array signals are
proportional to input total RNA. Different amounts (0.1, 0.4,
0.75, 1.5, 3.0 µg) of XpressRef™Human Universal Reference Total RNA
(GA-004) were used to synthesize biotin-labeled cDNA probe using 30
cycles of LPR. Each probe was hybridized to a separate membrane from
the GEArray Q Series Human TGFß/BMP Signaling Pathway Kit (HS-023).
Signals were detected using the Chemiluminescent Detection Kit (D-01).
All procedures were performed according to the manufacturers
specifications. Panel A displays the resulting arrays. Panel B plots
the background corrected signal intensity versus input total RNA for a
small sample of genes. (ID4, diamonds; BMPR2, squares; TCF8,
triangles; TIMP1, circles.)
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| Figure 3: AmpoLabeling-LPR array signals are
proportional to LPR cycle number. XpressRef Human Universal
Reference Total RNA (GA-004, 3 µg) was used to synthesize
biotin-labeled cDNA probe in several separate probe synthesis
reactions. The reactions were stopped after 10, 15, 20, 25, and 30
cycles of LPR. The probes were hybridized to separate membranes from
the GEArray Q Series Human TGFß/BMP Signaling Pathway Kit (HS-023).
Signals were detected using the Chemiluminescent Detection Kit (D-01).
All procedures were performed according to the manufacturers
specifications. Panel A displays the resulting arrays. Panel B plots
the background corrected signal intensity versus cycle number for a
small sample of genes. (MADH2, triangles; TGFBR1, circles; JUN,
diamonds; BMPR1A, squares.)
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Detecting Messages Ordinarily Missed by Conventional Methods
Figure 4 shows that the AmpoLabeling-LPR method detects
more signals on our GEArray than the conventional method for probe labeling
does. These unique signals could arise either because AmpoLabeling-LPR
returns false positives or the conventional method returns false negatives.
To test whether the AmpoLabeling-LPR results reflect genes that are actually
expressed, the same input RNA was tested for the presence of messages
corresponding to the unique spots using RT-PCR. In each case, these messages
were detected by RT-PCR (Figure 4). Therefore, AmpoLabeling-LPR detects low
abundance messages that conventional methods cannot.
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| Figure 4: AmpoLabeling-LPR detects messages ordinarily missed by
conventional methods but caught by RT-PCR. XpressRef Human Universal
Reference Total RNA (GA-004, 3 µg) was used to synthesize biotin-labeled
probe using either MMLV reverse transcriptase or AmpoLabeling-LPR (30
cycles). The probes were hybridized to separate membranes from the
GEArray Q Series Human TGFß/BMP Signaling Pathway Kit (HS-023). Signals
were detected using the Chemiluminescent Detection Kit (D-01). All
procedures were performed according to the manufacturers specifications.
Displayed are the arrays resulting from the conventional method (left)
and AmpoLabeling-LPR (middle). The circled messages were chosen for
further RT-PCR analysis. The right panel displays the resulting RT-PCR
products as characterized by agarose gel electrophoresis. Beta-actin is
included as an internal control.
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More Accurate Gene Expression Profiles
The goal of any microarray experiment is to compare the normalized
expression level of a gene or a group of genes between two experimental
conditions. To test the accuracy of gene expression profiles obtained by
AmpoLabeling-LPR, the expression of insulin-related genes in mouse liver and
thymus were compared using the conventional method, AmpoLabeling-LPR, and
RT-PCR. Panel A of Figure 5 displays the qualitative gene expression
profiles obtained by these three methods. The ratio of the corrected and
normalized intensities from the liver and thymus experiments for each gene
was calculated for each method. Panel B plots the ratios obtained from the
conventional method versus those from RT-PCR for each gene. Panel C plots
the ratios obtained from AmpoLabeling-LPR versus those from RT-PCR for each
gene. The correlation factors for the two curve-fits show that the
AmpoLabeling-LPR results correlate with RT-PCR results better than the
conventional method results do.
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| Figure 5: AmpoLabeling-LPR relative gene expression profile
matches RT-PCR generated profile better than conventional method.
Mouse liver or mouse thymus total RNA (7 and 5 µg, respectively) was
used to synthesize biotin-labeled probe using either 30 cycles of LPR
or MMLV reverse transcriptase. The probes were then used to hybridize
separate array membranes from the GEArray Q Series Mouse Insulin
Signaling Pathway Kit (MM-030). Signals were then detected using the
Chemiluminescent Kit (D-01). All messages were also analyzed in a
similar fashion using RT-PCR. Panel A displays the arrays from the
GEArray analyses and a representation of the bands detected by agarose
gel electrophoresis of the corresponding RT-PCR products. Panel B
plots the ratio of liver to thymus expression of each gene as
determined for RT-PCR (ordinate) and conventional labeling (abscissa).
Panel C plots the ratios as determined for RT-PCR (ordinate) and
AmpoLabeling-LPR (abscissa). Both graphs are log-log plots.
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Enhanced Gene Expression Profiling
The AmpoLabeling-LPR method for probe synthesis and labeling therefore
provides more accurate and sensitive gene expression profiling results. It
detects messages ordinarily missed by conventional methods. Its gene
expression profiles resemble those obtained using RT-PCR. Also, a smaller
amount of input RNA can be used to achieve gene expression profiles. The use
of gene-specific primers also reduces the extent of endogenous RNA priming
that can contribute to the appearance of false positive and high background
signals. In this way, signal-to-noise ratios are greatly improved.
References:
Verbeek, V., and Tijssen, T. (1990) J. Virol. Methods 29, 243-256.
Sturzl, M., and Roth, W. K. (1990) Anal. Biochem. 185, 164-169.
Millican, D.S., and Bird, I.M. (1997) Anal. Biochem. 249, 114-117.
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