A Technique Whose Time Has Come
by
Nigel J.Walker
SCIENCE VOL 296 19
APRIL 2002
Developed in
the mid 1990s for the analysis and quantification of nucleic acids, real-time PCR
is a molecular biological technique gaining rapidly in popularity. It is based on
the technique of
the polymerase chain reaction (PCR) that was first envisioned by Kary Mullis
almost 20 years ago, during a moonlit drive through the
redwood hills of California (1). The technology of PCR (2) has
become one of the most influential discoveries of
the molecular biology revolution and one for which Mullis received the Nobel Prize
in 1993. Because of the impact of PCR
and the thermostable Taq DNA polymerase (the enzyme
responsible for
the PCR revolution), the pair was
named as the first “Molecule of the Year” by Science in 1989 (3).
In many ways, the recent development of real-time PCR seems set to change the general use of
PCR. etc.
Quantitative
real-time RT-PCR – a perspective
S A Bustin, V
Benes, T Nolan and M W Pfaffl
The real-time reverse
transcription polymerase chain reaction (RT-PCR)
uses fluorescent reporter molecules to monitor
the production of amplification products during each cycle of
the PCR reaction. This combines the nucleic acid amplification
and detection steps into one homogeneous assay and
obviates the need for gel electrophoresis to detect amplification
products. Use of appropriate chemistries and data
analysis eliminates the need for Southern blotting or DNA
sequencing for amplicon identification. Its simplicity, specificity and
sensitivity, together with its potential for high throughput
and the ongoing introduction of new chemistries, more reliable
instrumentation and improved protocols, has made
real-time RT-PCR the benchmark technology for the detection and/or
comparison of RNA levels.
Real-time
reverse transcription PCR and the detection of occult disease in
colorectal cancer.
Bustin SA,
Mueller R.
Mol
Aspects Med. 2006 27(2-3):192-223
Institute
of Cell and Molecular Science, Barts and the London, Queen Mary's
School
of Medicine and Dentistry, University of London, UK.
Molecular
diagnostics offers the promise of accurately matching patient with
treatment, and a resultant significant effect on improved disease
outcome. More specifically, the real-time reverse transcription
polymerase chain reaction (qRT-PCR), with its combination of conceptual
simplicity and technical utility, has the potential to become a
valuable analytical tool for the detection of mRNA targets from tissue
biopsies and body fluids. Its potential is particularly promising in
cancer patients, both as a prognostic assay and for monitoring response
to therapy. Colorectal cancer provides an instructive paradigm for this
potential as well as the problems associated with its use as a clinical
assay. Currently, histopathological staging, which provides a static
description of the anatomical extent of tumour spread within a surgical
specimen, defines patient prognosis. The detection of lymph node (LN)
metastasis constitutes the most important prognostic factor in
colorectal cancer and as the primary indicator of systemic disease
spread, LN status determines the choice of postoperative adjuvant
chemotherapy. However, its limitations are emphasised by the
considerable prognostic heterogeneity of patients within a given tumour
stage: not all patients with LN-negative cancers are cured and not all
patients with LN-positive tumours die from their disease. This has
resulted in a search for more accurate staging protocols and has seen
the introduction of the concept of "molecular staging", the
incorporation of molecular parameters into clinical tumour staging.
Quantification of disease-associated mRNA is one such parameter that
utilises the qRT-PCR assay's potential for generating quantitative
results. These are not only more informative than qualitative data, but
contribute to assay standardisation and quality management. This review
provides an assessment of the practical value to the clinician of
RT-PCR-based molecular diagnostics. It points out reasons for the many
contradictory results encountered in the literature and concludes that
there is an urgent need for standardisation at every level, starting
with pre-assay sample acquisition and template preparation, assay
protocols and post-assay analysis.
Faster
quantitative real-time PCR protocols may lose sensitivity and show increased
variability.
Hilscher
C, Vahrson W, Dittmer DP.
Nucleic
Acids Res. 2005 Nov 27;33(21):e182.
Department
of Microbiology and Immunology and Lineberger Comprehensive Cancer
Center,
The University of North Carolina at Chapel Hill, NC, USA.

Quantitative
real-time PCR has become the method of choice for measuring mRNA transcription.
Recently, fast PCR protocols have been developed as a means to increase assay
throughput. Yet it is unclear whether more rapid cycling conditions preserve
the original assay performance characteristics. We compared 16 primer sets
directed against Epstein-Barr virus (EBV) mRNAs using universal and fast PCR cycling
conditions. These primers are of clinical relevance, since they can be used to
monitor viral oncogene and drug-resistance gene expression in transplant
patients and EBV-associated cancers. While none of the primers failed under fast PCR
conditions, the fast PCR protocols performed worse than universal cycling
conditions. Fast PCR was associated with a loss of sensitivity as well as higher
variability, but not with a loss of specificity or with a higher false positive
rate.
Comparison of in
vitro and in vivo reference
genes for internal standardization of real-time PCR
data.
Gilsbach R, Kouta M, Bonisch H, Bruss M.
Biotechniques. 2006 40(2): 173-177.
Institute of Pharmacology and Toxicology, University
of Bonn, Bonn, Germany.
Real-time PCR is a
powerful technique for gene expression studies, which have become
increasingly important in a large number of clinical and scientific fields.
The significance of the obtained results strongly depends on the normalization
of the data to compensate for differences between the samples. The most
widely used approach is to use endogenous reference genes (housekeeping
genes) as internal standards. This approach is
controversially discussed in the literature because
none of the reference genes is stably expressed throughout all
biological samples. Therefore, candidate reference genes have to be validated
for each experimental condition. In our studies, we introduced and evaluated
an in vitro synthesized reference cRNA for internal standardization of relative
messenger RNA (mRNA) expression patterns. This reference, consisting of
the in vitro transcribed coding sequence of
aequorin, a jellyfish protein, was incorporated in the
extracted RNA. The experimental significance of this approach
was representatively tested for the expression of the neurotrophin-3 mRNA
in distinct regions of mouse brains. A comparison to three stably
expressed reference genes [beta-actin,
glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and
hypoxanthine phosphoribosyl-transferase 1 (HPRT1)] gave evidence that
the spiking of template RNA with in vitro transcribed
cRNA is a valuable tool for internal standardization of
real-time PCR experiments.
Real-Time
PCR and Real-Time
Reverse Transcription PCR
two
interesting reviews
by Stephen A. Bustin, University of London,
London, U.K.
Encyclopedia
of Diagnostic Genomics and Proteomics
Real-Time PCR
The real-time polymerase chain
reaction (PCR) uses fluorescent
reporter molecules to monitor the production of
amplification products during each cycle of the
PCR reaction. This combines the DNA amplification and
detection steps into one homogeneous assay and
obviates the need for gel electrophoresis to detect amplification
products. Appropriate data analysis and/or use of
apposite chemistries also eliminates the need for
Southern blotting or DNA sequencing for amplicon identification.
Its simplicity, specificity, and sensitivity, together
with its potential for high throughput and the ongoing
introduction of new chemistries, more reliable instrumentation,
and improved protocols, has made realtime PCR
the benchmark technology for the detection of DNA.
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Real-Time Reverse Transcription
PCR
Real-time,
fluorescence-based reverse
transcription polymerase chain reaction (RT-PCR) has been transformed
from an experimental
technology into a mainstream scientific tool for the detection of RNA.
This is because of several factors: 1) it is a homogeneous assay, which
eliminates the requirement for post-PCR processing; 2) it has a wide
dynamic range; 3) there is little interassay variation; and 4) it
realizes the inherent quantitative capacity of PCR-based assays, making
it a quantitative rather than a qualitative, assay. These properties
match the evident
requirement in molecular medicine for quantitative data (e.g., for
measuring viral load, monitoring of occult disease in cancer, or
examining the genetic basis for individual variation in response to
therapeutics through
pharmacogenomics).
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The power of real-time PCR.
Valasek MA,
Repa
JJ.
Adv Physiol Educ. 2005 Sep;29(3): 151-159.

Department
of
Physiology Touchstone Center for Diabetes Research, University of
Texas
Southwestern
Medical Center, Dallas, Texas.
In recent years, real-time polymerase chain reaction (PCR) has emerged
as
a robust and widely used methodology for biological investigation
because
it can detect and quantify very small amounts of specific nucleic acid
sequences.
As a research tool, a major application of this technology is the rapid
and
accurate assessment of changes in gene expression as a result of
physiology,
pathophysiology, or development. This method can be applied to model
systems
to measure responses to experimental stimuli and to gain insight into
potential
changes in protein level and function. Thus physiology can be
correlated
with molecular events to gain a better understanding of biological
processes.
For clinical molecular diagnostics, real-time PCR can be used to
measure
viral or bacterial loads or evaluate cancer status. Here, we discuss
the
basic concepts, chemistries, and instrumentation of real-time PCR and
include
present applications and future perspectives for this technology in
biomedical
sciences and in life science education.
Replicating success
PCR often gets taken for granted, but
there
are ways of making it faster, more accurate and easier to perform.
Pete Moore investigates for NATURE 435, May 2005

Short
review: ADVANCES IN PCR TECHNOLOGY
by Lloyd H. Lauerman, Washington State University

Livestock
Transcriptomics:
Quantitative mRNA Analytics in
Molecular Endocrinology and Physiology
Michael
W. Pfaffl, Physiology,
Department of Animal Science,
Center of Life and Food
Sciences, Weihenstephaner
Berg 3, 85354 Freising, Germany
Molecular technologies are
currently
evolving rapidly in agricultural and veterinary sciences. This results
in
an immense progress in the accumulation of new data potentially useful
for
molecular diagnostics in farm animal physiology, immunology, diseases
and
new breeding strategies. While we are still at the “very beginning” of
understanding
genomics, transcriptomics and proteomics in relation to animal
physiology,
this development has dramatically changed our perspectives in research
during
the last decade. It can be foreseen, that the application of
sophisticated
rather than simple methods will be necessary for numerous diagnostic
questions.
One of this highly sophisticated methodologies is the quantitative
assessment
of target nucleic acids, mostly performed as quantitative polymerase
chain
reaction (PCR) on DNA level or combined with reverse transcription PCR
(RT-PCR)
to investigate the transcriptome on RNA level. This review will
introduce
the state of the art in quantitative RT-PCR using real-time RT-PCR on
the
field of livestock molecular endocrinology and physiology.
Real-Time Polymerase Chain Reaction
Jochen Wilhelm and Alfred Pingoud
Real-time
PCR is the state-of-the-art technique to quantify nucleic acids for
mutation detection, genotyping and chimerism analysis. Since its
development in the 1990s, many different assay formats have been
developed and the number of real-time PCR machines of different design
is continuously increasing. This review provides a survey of the
instruments and assay formats available and discusses the pros and cons
of each.The principles of quantitative real-time PCR and melting curve
analysis are explained. The quantification algorithms with internal and
external standardization are derived mathematically, and potential
pitfalls for the data analysis are discussed. Finally , examples of
applications of this extremely versatile technique are given that
demonstrate the enormous impact of real-time PCR on life sciences and
molecular medicine.
Real-time RT-PCR: Neue Ansätze zur
exakten mRNA Quantifizierung
Michael W. Pfaffl
(2004)
BioSpektrum 1/2004 (in German)

Die
molekularen Technologien Genomics, Transcriptomics und Proteomics
erobern immer mehr die klassischen Forschungsgebiete der
Biowissenschaften. Die enorme Flut an gewonnenen Daten und Ergebnissen
ist von überproportionalem Nutzen in
der molekularen Diagnostik und Physiologie sowie die „Functional
Genomics“. Immer neue ausgeklügelte Methoden und Anwendungen sind
daher nötig um komplexe physiologische Vorgänge zu
beschreiben. Da wir uns erst an Anfang dieser molekularen Ära
befinden, ist es notwendig diese Techniken zu optimieren
und komplett zu verstehen. Eine dieser technisch ausgefeilten
Methoden zur zuverlässigen und exakten Quantifizierung
spezifischer
mRNA, stellt die real-time RT-PCR dar. Dieser Artikel beschreibt im
Wesentlichen die effizienzkorrigierte relative Quantifizierung, die
Normalisierung der Expressionsergebnisse anhand eines nicht regulierten
„Housekeeping Gens“, die Berechnung der real-time PCR Effizienz sowie
die Verrechnung und statistische Auswertung der Expressionsergebnisse.
Alle beschriebenen Themenkomplexe können im Detail
auf der korrespondierenden Internetseite
(http://www.gene-quantification.info) in internationalen publizierten
Originalarbeiten nachgeschlagen werden.
Relative
transcript quantification by Quantitative PCR: Roughly right
or precisely wrong ?
Rasmus Skern, Petter Frost and Frank Nilsen
Background:
When estimating relative transcript abundances by quantitative
real-time PCR (QPCR) we found that the results
can vary dramatically depending on the method chosen
for data analysis.
Results:
Analyses of Q-PCR results from a salmon louse starvation experiment
show that, even with apparently good raw
data, different analytical approaches [1,2] may lead to opposing
biological conclusions.
Conclusion:
The results emphasise the importance of being cautious when analysing
Q-PCR data and
indicate that uncritical routine
application of an analytical method will eventually result in
incorrect
conclusions. We do not know the extent of, or have a universal solution
to this problem. However, we strongly
recommend caution when analysing Q-PCR results e.g. by using two or
more
analytical approaches to validate conclusions. In our view a common
effort should be made to standardise methods for
analysis and validation of Q-PCR results.
Real-time
RT-PCR normalisation; strategies and considerations
J Huggett, K Dheda, S Bustin and A Zumla
Real-time
RT-PCR has become a common technique, no longer limited to
specialist core facilities. It is in many cases the only method for measuring mRNA
levels of vivo low copy number targets of interest for which
alternative assays either do not exist or lack the required
sensitivity. Benefits of this procedure over conventional methods for
measuring RNA include its sensitivity, large dynamic range, the
potential for high throughout as well as accurate quantification. To
achieve this, however, appropriate normalisation strategies
are required
to control for experimental error introduced during the multistage
process
required to extract
and process the RNA. There are many strategies that can be chosen;
these
include normalisation to sample size, total RNA and the popular
practice of
measuring an internal reference or housekeeping gene. However, these
methods are frequently
applied without appropriate validation. In this review we discuss the
relative merits of different normalisation strategies and suggest a
method of validation that will enable the measurement of biologically
meaningful results.
MICROARRAY
TECHNOLOGIES
Validation of oligonucleotide microarray data using microfluidic
low-density arrays:
a new statistical method to normalize real-time RT-PCR data.
Lynne V. Abruzzo et al. BioTechniques 38:785-792 (May 2005)
Profiling
studies using microarrays to measure messenger RNA (mRNA) expression
frequently identify long lists of differentially expressed genes.
Differential expression is often validated using real-time reverse
transcription
PCR (RT-PCR) assays. In conven-tional real-time RT-PCR assays,
expression
is normalized to a control, or housekeeping gene. However, no single
housekeeping gene can be used for all studies. We used TaqMan®
Low-Density Arrays, a medium-throughput method for real-time RT-PCR
using microfluidics to simultaneously assay the expression of 96 genes
in nine samples of chronic lymphocytic leukemia (CLL). We devel-oped a
novel statistical method,
based on linear mixed-effects models, to analyze the data. This method
automatically identifies the genes whose expression does not vary
significantly
over the samples, allowing them to be used to normalize the remaining
genes.
We compared the normalized real-time RT-PCR values with results
obtained
from Affymetrix Hu133A GeneChip® oligonucleotide microarrays. We
found
that real-time RT-PCR using TaqMan Low-Density Arrays yielded
reproducible
measurements over seven or-ders of magnitude. Our model identified
numerous
genes that were expressed at nearly constant levels, including the
housekeeping
genes PGK1, GAPD, GUSB, TFRC, and 18S rRNA. After normalizing to the
geometric mean of the unvarying genes, the correla-tion between
real-time RT-PCR
and microarrays was high for genes that were moderately expressed and
varied across samples.
Linear-After-The-Exponential
(LATE)-PCR: Primer design criteria for high yields of specific
singlestranded
DNA and
improved real-time detection.
Kenneth E.
Pierce, J. Aquiles Sanchez, John E. Rice, and Lawrence J. Wangh
Traditional asymmetric PCR uses
conventional PCR primers at unequal concentrations to generate
single-stranded DNA. This method, however, is difficult to
optimize, often inefficient, and tends to promote nonspecific
amplification.
An alternative approach, Linear-After-The-Exponential
(LATE)-PCR, solves these problems by using primer pairs deliberately
designed for use at unequal concentrations. The
present report systematically examines the primer design parameters
that affect the exponential and linear phases of LATE-PCR
amplification. In particular, we investigated how altering the
concentration-adjusted melting temperature (Tm) of the limiting primer
(Tm L) relative to that of the excess primer (Tm X) affects both
amplification efficiency and specificity during the exponential phase
of LATE-PCR. The highest reaction efficiency and specificity were
observed when Tm LTm X>5°C. We also
investigated how altering Tm X relative to the higher Tm of the
double-stranded
amplicon (Tm A) affects the rate and extent
of linear amplification. Excess primers with Tm X closer to Tm A yielded
higher rates
of
linear amplification and stronger signals from a hybridization probe.
These design criteria maximize the yield of specific single-stranded DNA
products and make LATE-PCR more robust and easier to implement. The
conclusions were validated by using primer pairs that amplify sequences
within the cystic fibrosis transmembrane regulator (CFTR) gene,
mutations of which are responsible for cystic fibrosis.

Real-Time
PCR Technology for Cancer Diagnostics
Philip S. Bernard and Carl T.
Wittwer
Clinical Chemistry 48: 8 1178–1185 (2002)
Background:
Advances in the biological sciences and technology are providing
molecular targets for diagnosing and treating cancer. Current
classifications in surgical pathology for staging malignancies are
based primarily on anatomic features (e.g., tumor-nodemetastasis) and
histopathology (e.g., grade). Microarrays together
with clustering algorithms are revealing a molecular diversity among
cancers that promises to form a new taxonomy with prognostic
and, more importantly, therapeutic significance. The challenge
for pathology will be the development and implementation of these
molecular classifications for routine clinical practice. Approach: This
article discusses the benefits, challenges, and possibilities for
solid-tumor profiling in the clinical laboratory with an emphasis on
DNA-based PCR techniques. Content: Molecular markers can be used to
provide accurate prognosis and to predict response, resistance, or
toxicity to therapy. The diversity of genomic alterations
involved in malignancy necessitates a variety of assays for complete
tumor profiling. Some new molecular classifications of tumors are
based on gene expression, requiring a paradigm shift in specimen
processing to preserve the integrity of RNA for analysis. More stable
markers (i.e., DNA and protein) are readily handled in the clinical
laboratory. Quantitative real-time PCR can determine gene duplications
or deletions. Furthermore, melting curve analysis immediately after PCR
can identify small mutations, down to single base changes. These
techniques are becoming easier and faster and can be multiplexed.
Real-time PCR methods are a favorable option for the analysis of cancer
markers. Summary: There is a need to translate recent discoveries in
oncology research into clinical practice. This requires objective,
robust, and cost-effective molecular techniques for clinical trials
and, eventually, routine use. Real-time PCR has attractive features for
tumor profiling in the clinical laboratory.
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