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
Department of Physiology Touchstone
Center for Diabetes Research, University of
Texas Southwestern Medical Center, Dallas,
Texas.
Adv Physiol Educ. 2005 29(3): 151-159

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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