real-time PCR & RT-PCR (1)
real-time PCR
& RT-PCR (2)
real-time
PCR & RT-PCR (3)
qPCR
- a technique enabling fast, quantitative
and reliable results
Some of the limitations of
end-point detection in (RT-) PCR have been
assuaged in real-time PCR
systems, various are now on the market.
These systems offer many general technical
advantages, including reduced probabilities of
variability and contamination, as well as online
monitoring and the lack of need for postreaction
analyses. Further, some of these systems were
developed with contemporary applications such as
quantitative PCR, multiplexing, and
high-throughput analysis in mind. In real-time
quantitative PCR techniques, signals (generally
fluorescent) are monitored as they are generated
and are tracked after they rise above background
but before the reaction reaches a plateau. Initial
template levels can be calculated by analyzing the
shape of the curve or by determining when the
signal rises above some threshold value. Several
commercially available real-time PCR systems are
overviewed and/or summarized in the following sub-page. Each of these
systems employs either one of several general
types of fluorescent probes for detection. Several different basic
types of fluorescent probes are used for
real-time PCR applications. Some assays
employ general dyes that bind preferentially to
double-stranded DNA (SYBR Green 1). Others use
target sequence-specific reagents such as
exonuclease probes, hybridization probes, or
molecular beacons. Although more expensive,
sequence specific probes add specificity to the
assay, and enable multiplexing applications. Real
time PCR or RT-PCR offers numerous advantages over
previous attempts at quantitating (RT-)PCR. Other
methods typically rely on end-point measurements,
when often the reaction has gone beyond the
exponential phase because of limiting reagents. To
compensate for such problems, competitive PCR was
devised, which allows for normalization of the end
product based on the ratio between target and
competitor. Because this method is cumbersome,
requiring a carefully constructed competitor
target for each (RT-)PCR reaction and a series of
dilutions to ensure that there is a suitable ratio
of target to competitor, it is seldom used
successfully (absolute
quantification). In contrast, with real time
(RT-)PCR, the dynamic range is much greater than
that of competitive (RT-)PCR - up to 8 orders
of magnitude as compared to one with
competitive (RT-)PCR -, post-reaction processing
is eliminated, and the measurements are taken from
the exponential range of the reaction, where
component concentrations are not limiting. And
best of all, the entire process is automated.
qPCR, dPCR, NGS – A
journey
Jim F. Huggett, Justin O’Grady, Stephen
Bustin
Biomolecular Detection and Quantification,
available online 15 January 2015
Scientific conferences fulfill many roles, but one
of the most important ones is that they help shape
the direction in which a scientific discipline
grows by promoting person-to-person exchanges of
information, ideas and constructive criticisms
between scientists from different backgrounds.
This interaction also helps to identify areas of
controversy and promotes efforts to address and,
it is hoped, resolve them. This year is the 30th
anniversary of the publication of the first
practical description of the polymerase chain
reaction [1], arguably one of the simplest and the
most widely used molecular technology. It also
sees the 7th
instalment of the Freising PCR meetings http://www.qPCR-NGS-2015.net,
which are the longest established, continuous and
most influential conferences in this field and
have provided a looking glass for conceptual and
technical innovation as well as practical
applications of PCR-associated methods.
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Good
Practice Guide for the Application of
Quantitative PCR (qPCR)
Author
-
Nolan T, Huggett J, Sanchez E
http://www.lgcgroup.com
qPCR
Guide CoverThe polymerase chain reaction
(PCR) is a rapid, sensitive, and rather
simple technique to amplify DNA, using
oligonucleotide primers, dNTPs and a
heat stable Taq polymerase. With the
introduction of real-time PCR in the
late nineties, the PCR method overcame
an important hurdle towards becoming
‘fully quantitative’ (and therefore
known as quantitative PCR, or qPCR).
Currently, qPCR is regarded as the ‘gold
standard’ in the quantitative analysis
of nucleic acids, be it DNA, RNA or
micro-RNA molecules. The main reasons
for its success are its high
sensitivity, robustness, good
reproducibility, broad dynamic
quantification range, and very
importantly, affordability.
However,
completing
qPCR assays to a high standard of
analytical quality can be challenging
for a number of reasons, which are
discussed in detail in this guide. qPCR
has a large number of applications in a
wide range of areas, including
healthcare and food safety. It is
therefore of paramount importance that
the results obtained are reliable in
themselves and comparable across
different laboratories.
This
guide is aimed at individuals who are
starting to use qPCR and realise that,
while this method is easy to perform in
the laboratory, numerous factors must be
considered to ensure that the method
will be applied correctly. The guide
aims to assist those who are, or will
be, using qPCR by discussing the issues
that need consideration during
experimental design. The guide entails
“tried and tested” approaches, and
troubleshoots common issues.
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Reverse transcription quantitative PCR is an
established, simple and effective method for RNA
measurement. However, technical standardisation
challenges combined with frequent insufficient
experimental detail render replication of many
published findings challenging. Consequently,
without adequate consideration of experimental
standardisation, such findings may be sufficient
for a given publication but cannot be translated
to wider clinical application. This article builds
on earlier standardisation work and the MIQE
guidelines, discussing processes that need
consideration for accurate, reproducible analysis
when dealing with patient samples. By applying
considerations common to the science of
measurement (metrology), one can maximise the
impact of gene expression studies, increasing the
likelihood of their translation to clinical tools.
Meeting Report - Developments in real-time
PCR research and molecular diagnostics
Stephen A Bustin
Expert Review of Molecular Diagnostics
September 2010, Vol. 10, No. 6, Pages
713-715
This meeting was designed to highlight the
wide range of new methods, instruments and
applications that underlie the popularity of
quantitative real-time PCR technology in all areas
of life science research, as well as in clinical
diagnostics. It provided a fascinating snapshot of
current trends and novel approaches, as well as
important issues concerning assay design,
optimization and quality control issues.
Quantitative real-time RT-PCR - a
perspective
Bustin SA, Benes V, Nolan T,
Pfaffl MW.
Institute of Cellular and
Molecular Science, Barts and the London,
Queen Mary's School
of
Medicine and Dentistry, University of
London, London, UK.
J Mol Endocrinol. 2005
Jun;34(3):597-601
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.
The paper
has been frequently cited by other
researchers: => 918 times until
April 2016
Methods Vol 50 (4)
April 2010
edited by
Michael W. Pfaffl
Table
of content:
Full
papers and reviews
Sponsored
Application
Notes
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The ongoing
evolution of qPCR
A summary
of interesting papers & reviews,
presented at the qPCR 2010 Event in
Vienna
The
polymerase chain reaction (PCR) is
usually described as a simple, sensitive
and rapid technique that uses
oligonucleotide primers, dNTPs and a
heat stable Taq polymerase to amplify
DNA. It was invented by Kary B. Mullis
and co-workers in the early eighties,
who were awarded the 1993 Nobel Prize
for chemistry for this discovery. With
the discovery of real-time PCR in the
nineties the method took an important
hurdle towards becoming “fully
quantitative”. The addition of an
initial reverse-transcription (RT) step
produced the complementary RT-PCR, a
powerful means of amplifying any type of
RNA. Today quantitative PCR (qPCR) is
widely used in research and diagnostics,
with numerous scientists contributing to
the pre-eminence of PCR in a huge range
of DNA-, RNA- (coding and non-coding) or
protein- (immuno- or proximity ligation
assay qPCR) based applications. Soon the
PCR was regarded as the “gold standard”
in the quantitative analysis of nucleic
acid, because of its high sensitivity,
good reproducibility, broad dynamic
quantification range, easy use and
reasonable good value for money.
qPCR has substantial
advantages in quantifying low target
copy numbers from limited amounts of
tissue or identifying minor changes in
mRNA or microRNA expression levels in
samples with low RNA concentrations or
from single cells analysis. The
extensive potential to quantify nucleic
acids in any kind of biological matrix
has kept qPCR at the forefront of
extensive research efforts aimed at
developing new or improved applications.
But are qPCR and its associated
quantification workflow really as simple
as we assume?
It is essential to have a
comprehensive understanding of the
underlying basic principles, error
sources and general problems inherent
with qPCR and RT-qPCR. This rapidly
reveals the urgent need to promote
efforts towards more reproducible,
sensitive, truly quantitative and,
ultimately, more biologically valid
experimental approaches. Therefore, the
challenge is to develop assays that meet
current analytical requirements and
anticipate new problems, for example in
novel biological matrices or for higher
throughput applications. Unfortunately,
we are far from having developed optimal
workflows, the highest sensitivity, the
best RNA integrity metrics or the
ultimate real-time cycler, all of which
are indispensable for optimal PCR
amplification and authentic results. The
qPCR research community still aims to
improve and evolve, which brings to the
topic of this PCR special issue - The
ongoing evolution of qPCR.
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Methods Vol 59(1)
January 2013
edited by
Michael W. Pfaffl
Table
of content
Full
papers
and
reviews
Sponsored
Application
Notes
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Transcriptional
Biomarkers
A
summary of interesting papers &
reviews, presented at the qPCR & NGS
2013 Event in Freising-Weihenstephan
Biological
markers
(biomarkers) have been used for
diagnostic testing for more than
50 years and have acquired
immense scientific and clinical
value. This process has
accelerated in the 21st century,
leading to their growing appeal
as markers for routine
diagnostic practice. There are
numerous promising biomarkers,
the most important of which are
currently used for assessing the
efficacy of treatment,
development of new drugs,
especially in the area of
therapeutic medicine for cancer
or cardiovascular diseases. In
the past, biomarkers were
defined as ‘cellular,
biochemical or molecular
alterations that are measurable
in biological media such as
human tissues, cells, or body
fluids’. Nowadays the term
biomarker is defined as ‘a
characteristic that is
objectively measured and
evaluated as an indicator of
normal biological processes,
pathogenic processes, or
pharmacologic responses to a
therapeutic intervention or
other health care intervention’
by the Biomarker Consortium of
the Foundation for the National
Institutes of Health (FNIH). A
biomarker should be able to
reveal a specific biological
trait or a measurable change in
the organism, which is directly
associated with a physiological
condition or disease status.
Early
disease
detection by biomarkers offers
an effective opportunity for
enhancing disease detection,
improving patient prognosis and
streamlining the use of drug
therapy and assessing clinical
outcomes of treatment. Hence
biomarkers are potentially
useful along several steps of
the disease process:
- Before
diagnosis, they provide the
potential for screening and
risk assessment.
- As part
of the diagnostic process,
biomarkers can determine
staging, grading, and
selection of initial therapy.
- Subsequently,
in the treatment phase, they
can be used to monitor therapy
success, select additional
therapies or monitor recurrent
diseases.
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Real-Time
PCR -- Understanding Ct
Real-time PCR, also called quantitative
PCR or qPCR, can provide a simple and
elegant method for determining the amount
of a target sequence or gene that is
present in a sample. Its very simplicity
can sometimes lead to problems of
overlooking some of the critical factors
that make it work. This review will
highlight these factors that must be
considered when setting up and evaluating
a real-time PCR reaction.
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The Quantitative
PCR
Technical Guide from Sigma-Aldrich is
intended to provide new users with an
introduction to qPCR, an understanding of
available chemistries, and the ability to
apply qPCR to answer research questions. The
guide also contains numerous tips and tools
for the experienced qPCR user.
PCR
Technologies Guide
qPCR and MIQE
Seminar Series
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Real-time
PCR is a form of polymerase chain
reaction (PCR) in which
data are collected in real-time as the
reaction proceeds. Continuous data
collection enables one of the principal
applications of real-time PCR, target
quantitation. Because quantitation is
among the most common uses for real-time
PCR, it is often referred to as
quantitative PCR or qPCR.
Life
Technologies™
offers tools to provide reliable real-time
results the first time and every time.
With trusted Applied Biosystems®
instruments and software, TaqMan® Assays
and master mixes tailored for success, and
innovative products for new real-time PCR
research applications, such as digital
PCR, castPCR™ rare sequence detection, and
even products for protein analysis, we can
accelerate your real-time PCR research.
Real-time
PCR guide - Theory of real-time PCR
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PrimeTime®
qPCR Application Guide
Experimental Overview, Protocol, and
Troubleshooting. The qPCR Application Guide
is intended to provide guidance to users on
the entire qPCR process, from RNA isolation
to data analysis. Click to download a pdf of
the PrimeTime qPCR Application Guide.
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Download our
new PCR and RT-PCR technical brochure
Demanding applications such as long-range
and multiplex PCR present challenges for
scientists. Download our new qualitative PCR
and RT-PCR brochure to find out how to
achieve the best results from your PCR
methods.
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Real-time PCR
Application guide
By Bio-Rad
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EUROGENTEC
BOOKLETS
This brochures are very
appriated one, on which we had lots of
positive reactions in the sense of:
- finally a company, who can
give me a full overview
- finally a company, who is
not preoccupied by a certain system
- great ! it makes me better
understand real time PCR
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Quantification of
mRNA using real-time RT-PCR
Tania Nolan,
Rebecca E Hands & Stephen A Bustin
Nature Protocols
(2006) Vol. 1, No. 3; p1559-1582
The real-time
reverse transcription polymerase chain reaction
(RT-qPCR) addresses the evident requirement for
quantitative data analysis in molecular medicine,
biotechnology, microbiology and diagnostics and has
become the method of choice for the quantification
of mRNA. Although it is often described as a
‘‘gold’’ standard, it is far from being a standard
assay. The significant problems caused by
variability of RNA templates, assay designs and
protocols, as well as inappropriate data
normalization and inconsistent data analysis, are
widely known but also widely disregarded. As a first
step towards standardization, we describe a series
of RT-qPCR protocols that illustrate the essential
technical steps required to generate quantitative
data that are reliable and reproducible. We would
like to emphasize, however, that RT-qPCR data
constitute only a snapshot of information regarding
the quantity of a given transcript in a cell or
tissue. Any assessment of the biological
consequences of variable mRNA levels must include
additional information regarding regulatory RNAs,
protein levels and protein activity. The entire
protocol described here, encompassing all stages
from initial assay design to reliable qPCR data
analysis, requires approximately 15 h.
The real-time
polymerase chain reaction
Kubista M, Andrade JM, Bengtsson M,
Forootan A, Jonak J, Lind K, Sindelka R, Sjoback
R, Sjogreen B, Strombom L, Stahlberg A, Zoric N.
Mol Aspects Med. 2006
27(2-3): 95-125.
TATAA Biocenter, Medicinargatan 7B, 405 30
Goteborg, Sweden
The scientific, medical, and diagnostic
communities have been presented the most powerful
tool for quantitative nucleic acids analysis:
real-time PCR [Bustin, S.A., 2004. A-Z of
Quantitative PCR. IUL Press, San Diego, CA]. This
new technique is a refinement of the original
Polymerase Chain Reaction (PCR) developed by Kary
Mullis and coworkers in the mid 80:ies [Saiki,
R.K., et al., 1985. Enzymatic amplification of
beta-globin genomic sequences and restriction site
analysis for diagnosis of sickle cell anemia,
Science 230, 1350], for which Kary Mullis was
awarded the 1993 year's Nobel prize in Chemistry.
By PCR essentially any nucleic acid sequence
present in a complex sample can be amplified in a
cyclic process to generate a large number of
identical copies that can readily be analyzed.
This made it possible, for example, to manipulate
DNA for cloning purposes, genetic engineering, and
sequencing. But as an analytical technique the
original PCR method had some serious limitations.
By first amplifying the DNA sequence and then
analyzing the product, quantification was
exceedingly difficult since the PCR gave rise to
essentially the same amount of product
independently of the initial amount of DNA
template molecules that were present. This
limitation was resolved in 1992 by the development
of real-time PCR by Higuchi et al. [Higuchi, R.,
Dollinger, G., Walsh, P.S., Griffith, R., 1992.
Simultaneous amplification and detection of
specific DNA-sequences. Bio-Technology 10(4),
413-417]. In real-time PCR the amount of product
formed is monitored during the course of the
reaction by monitoring the fluorescence of dyes or
probes introduced into the reaction that is
proportional to the amount of product formed, and
the number of amplification cycles required to
obtain a particular amount of DNA molecules is
registered. Assuming a certain amplification
efficiency, which typically is close to a doubling
of the number of molecules per amplification
cycle, it is possible to calculate the number of
DNA molecules of the amplified sequence that were
initially present in the sample. With the highly
efficient detection chemistries, sensitive
instrumentation, and optimized assays that are
available today the number of DNA molecules of a
particular sequence in a complex sample can be
determined with unprecedented accuracy and
sensitivity sufficient to detect a single
molecule. Typical uses of real-time PCR include
pathogen detection, gene expression analysis,
single nucleotide polymorphism (SNP) analysis,
analysis of chromosome aberrations, and most
recently also protein detection by real-time
immuno PCR.
CHAPTER
7 - Quantitative Real-time PCR Analysis
JACQUIE T. KEER
The
sensitivity of analysis achievable with PCR has
led to the technology being adopted across a range
of sectors. For many applications a quantitative
result is required, which has driven the
development of a range of strategies to deter¬mine
the amount of starting material in a sample.
Approaches such as com¬petitive PCR1 and limiting
dilution analysis2 have been used as routes to
quantification, although the variable nature of
the PCR process and the amplification of the
target to a maximal level irrespective of the
starting amount of target limit the accuracy of
these methods. The advent of kinetic or real-time
PCR4 has overcome many of the limita¬tions of
earlier strategies, by monitoring the increase in
product generated during the course of the
reaction, in ‘real time’. Quantitative approaches
are based on the time or cycle at which
amplification is first detected, rather than
requiring quantification of PCR products, and the
principle is illustrated schematically in Figure
7.1. A range of samples of known target content
are usually amplified together with the samples
under test, and the accumulation of PCR product in
each cycle is determined. Alternatively the signal
from two targets may be compared to determine a
relative measure of quantification, and this is
often used in measurement of gene expression which
is considered in more detail in Chapter 9.
Here a fluorescent reporter assay is used to
monitor increase in fluorescence at each PCR
cycle. The point at which the signal becomes
detectable, or crosses some arbitrary threshold
value, is determined for each standard and sample.
These values are then plotted against the amount
of target in the standards to produce a
calibration curve, and the amount of target in the
unknown samples can then be interpolated from the
graph. The linear relationship between the amount
of starting material and the measured cycle
threshold (Ct) values are maintained across
several orders of magnitude, so assays based on
quantitative PCR (qPCR) have an unusually large
dynamic range. There are a number of other
significant benefits in using real-time PCR
analysis, including the greatly increased
sensitivity associated with the use of fluorescent
reporters and signal collection devices, and the
rapid cycling times that are achievable on some
instruments. In addition, homo¬geneous qPCR assays
minimise the potential for cross-contamination
com¬pared with conventional methods as reaction
vessels need not be opened in order to analyse
amplification products, and also avoid variation
introduced by gel analysis. In short, real-time
PCR offers the potential of well-characterised and
highly sensitive quantitative analysis, although
the diversity of instruments, detection
chemistries, data handling methods and the lack of
quantitative reference standards present
significant challenges to measurement
comparability.........
The
MIQE
Guidelines - Minimum
Information for Publication of
Quantitative Real-Time PCR Experiments
Stephen A.
Bustin, Vladimir Benes, Jeremy A.
Garson, Jan Hellemans, Jim Huggett,
Mikael Kubista, Reinhold Mueller,
Tania Nolan, Michael W. Pfaffl,
Gregory L. Shipley Jo Vandesompele,
and Carl T. Wittwer
Clinical Chemistry 2009, 55(4): 611-622
BACKGROUND:
Currently,
a lack of consensus exists on how best to perform
and interpret quantitative real-time PCR (qPCR)
experiments. The problem is exacerbated by a lack
of sufficient experimental detail in many
publications, which impedes a reader's ability to
evaluate critically the quality of the results
presented or to repeat the experiments.
CONTENT:
The Minimum Information for Publication of
Quantitative Real-Time PCR Experiments (MIQE)
guidelines target the reliability of results to
help ensure the integrity of the scientific
literature, promote consistency between
laboratories, and increase experimental
transparency. MIQE is a set of guidelines that
describe the minimum information necessary for
evaluating qPCR experiments. Included is a
checklist to accompany the initial submission of a
manuscript to the publisher. By providing all
relevant experimental conditions and assay
characteristics, reviewers can assess the validity
of the protocols used. Full disclosure of all
reagents, sequences, and analysis methods is
necessary to enable other investigators to
reproduce results. MIQE details should be
published either in abbreviated form or as an
online supplement.
SUMMARY:
Following these guidelines will encourage better
experimental practice, allowing more reliable and
unequivocal interpretation of qPCR results.
Go the MIQE
sub-domain
Real-Time PCR: Current Technology and
Applications
Publisher: Caister Academic Press
Editor: Julie Logan, Kirstin Edwards and Nick
Saunders Applied and Functional Genomics, Health
Protection Agency, London (2009)
ISBN: 978-1-904455-39-4
http://www.horizonpress.com/realtimepcr
Chapter 4 - Reference Gene Validation
Software for Improved Normalization
J. Vandesompele, M. Kubista and M. W.
Pfaffl (2009)
Real-time PCR is the method of choice for
expression analysis of a limited number of genes.
The measured gene expression variation between
subjects is the sum of the true biological
variation and several confounding factors
resulting in non-specific variation. The purpose
of normalization is to remove the non-biological
variation as much as possible. Several
normalization strategies have been proposed, but
the use of one or more reference genes is
currently the preferred way of normalization.
While these reference genes constitute the best
possible normalizers, a major problem is that
these genes have no constant expression under all
experimental conditions. The experimenter
therefore needs to carefully assess whether a
certain reference gene is stably expressed in the
experimental system under study. This is not
trivial and represents a circular problem.
Fortunately, several algorithms and freely
available software have been developed to address
this problem. This chapter aims to provide an
overview of the different concepts.
Chapter 5 - Data Analysis Software
M. W. Pfaffl, J. Vandesompele and M.
Kubista (2009)
Quantitative real-time RT-PCR (qRT-PCR) is widely
and increasingly used in any kind of mRNA
quantification, because of its high sensitivity,
good reproducibility and wide dynamic
quantification range. While qRT-PCR has a
tremendous potential for analytical and
quantitative applications, a comprehensive
understanding of its underlying principles is
important. Beside the classical RT-PCR parameters,
e.g. primer design, RNA quality, RT and polymerase
performances, the fidelity of the quantification
process is highly dependent on a valid data
analysis. This review will cover all aspects of
data acquisition (trueness, reproducibility, and
robustness), potentials in data modification and
will focus particularly on relative quantification
methods. Furthermore useful bioinformatical,
biostatical as well as multi-dimensional
expression software tools will be presented.
Real-Time
PCR: Current Technology and Applications
- Book reviews:
"... a
comprehensive overview of the RT-PCR technology,
which is as up-to-date as a book can be ..." Mareike
Viebahn in Current
Issues
in Molecular Biology (2009)
"... a useful
book for students ..." from J. Microbiological
Methods
"provides a dual
focus by aiming, in the early chapters, to
provide both the theory and practicalities of
this diverse and superficially simple
technology, counter-balancing this in the
later chapters with real-world applications,
covering infectious diseases, biodefence,
molecular haplotyping and food standards." from
Microbiology Today
"a reference work
that should be found both in university
libraries and on the shelves of experienced
applications specialists." from
Microbiology Today
"a
comprehensive guide to real-time PCR technology
and its applications" from Food Science and
Technology Abstracts (2009) Volume 41 Number 6
"This volume
should be of utmost interest to all
investigators interested and involved in using
RT-PCR ... the RT-PCR protocols covered in
this book will be of interest to most, if not
all, investigators engaged in research that
uses this important technique ... a well
balanced book covering the many potential uses
of real-time PCR ... valuable for all those
interested in RT-PCR." from Doodys
reviews (2009)
"provide the
novice and the experienced user with guidance
on the technology, its instrumentation, and
its applications" from SciTech Book
News June 2009 p. 64
"...
written
by international authors expert in specific
technical principles and applications ... a
useful compendium of basic and advanced
applications for laboratory scientists. It is an
ideal introductory textbook and will serve as a
practical handbook in laboratories where the
technology is employed." from Christopher J.
McIver, Microbiology Department, Prince of Wales
Hospital, New South Wales, Australia writing in
Australian J. Med. Sci. 2009. 30(2): 59-60
The Road from
Qualitative to Quantitative Assay. What
is next?
by Michael W. Pfaffl
Chapter 8
in "The PCR Revolution" edited by
Stephen A. Bustin, page 110 - 128
Cambridge University Press
The PCR reaction is widely used in many
applications throughout the world. It has it
secure place in the molecular biological history
as one of the most revolutionary methods ever. The
principles of PCR are clear, but how the reaction
procedure can be optimized and how to bring out
the best? Where are the fields of
improvements? What is the status quo and
what is next?
"The PCR
Revolution" edited by Stephen A.
Bustin - book cover -
table of content
SPUD
-
a quantitative PCR assay for the detection of
inhibitors in nucleic acid preparations.
Nolan T, Hands RE, Ogunkolade W, Bustin SA.
Anal Biochem.
2006 351(2): 308-310
Among the many
factors that determine the sensitivity, accuracy,
and reliability of a real-time quantitative reverse
transcription polymerase chain reaction (qRT–PCR)1
assay, template quality is one of the most important
determinants of reproducibility and biological
relevance [1]. This is a well-recognized problem
[2], and there are numerous reports that describe
the significant reduction in the sensitivity and
kinetics of qPCR assays caused by inhibitory
components frequently found in biological samples
[3], [4], [5], [6], [7] and [8]. The inhibiting
agents may be reagents used during nucleic acid
extraction or copurified components from the
biological sample such as bile salts, urea, haeme,
heparin, and immunoglobulin G. At best, inhibitors
can generate inaccurate quantitative results; at
worst, a high degree of inhibition will create
false-negative results. The most common procedure
used to account for any differences in PCR
efficiencies between samples is to amplify a
reference gene in parallel with the reporter gene
and to relate their expression levels. However, this
approach assumes that the two assays are inhibited
to the same degree. The problem is even more
pronounced in absolute quantification, where an
external calibration curve is used to calculate the
number of transcripts in the test samples, an
approach that is commonly adopted for quantification
of pathogens. Some, or all, of the biological
samples may contain inhibitors that are not present
in the nucleic acid samples used to construct the
calibration curve, leading to an underestimation of
the mRNA levels in the test samples [9]. The
increasing interest in extracting nucleic acids from
formalin-fixed paraffin-embedded (FFPE) archival
material undoubtedly will lead to an exacerbation of
this problem. Obviously, such inhibitors are likely
to distort any comparative quantitative data.
However, a recent survey of practices revealed that
only 6% of researchers test their nucleic acid
samples for the presence of inhibitors
[10]..............
PCR
technology is based on a simple principle; an
enzymatic reaction that increases the initial
amount of nucleic acids. This method makes it
possible to detect specific mRNA transcripts in
any biological sample. Performing RT-PCR analysis
does not only comprehend this experimental PCR
step. Following the whole workflow of a RT-PCR
quantitative analysis, it starts with the sampling
step, followed by nucleic acid extraction and
stabilization, cDNA synthesis and finally the qPCR
where the mRNA quantification takes place.
Problems arise when optimization of the
experimental work flow becomes necessary because
of high technical variations. The PCR reaction
itself is a quite stable reaction with
reproducibility between 2-8%. Therefore the source
of experimental variances can often be found in
the pre-PCR analytical steps. Usually this is
neglected and optimization is done for PCR
reaction only. In this chapter – RT-PCR
optimization strategies - the whole workflow of
RT-PCR experiment will be discussed, because the
identification of the source of variability is
only possible following error accumulation in
every single step. Reliable data can be created
when the technical variance caused by the
experimental steps is kept as low as possible. In
this chapter many recommendations to decrease the
technical variance can be found.
REVIEW: RNA integrity and
the effect on the real-time qRT-PCR performance.
Fleige
S & Pfaffl MW.
Mol Aspects Med. 2006 27(2-3): 126-139
The
assessment of RNA integrity is a critical first step
in obtaining meaningful gene expression data.
Working with low-quality RNA may strongly compromise
the experimental results of downstream applications
which are often labour-intensive, time-consuming,
and highly expensive. Using intact RNA is a key
element for the successful application of modern
molecular biological methods, like qRT-PCR or
micro-array analysis. To verify RNA quality nowadays
commercially available automated
capillary-electrophoresis systems are available
which are on the way to become the standard in RNA
quality assessment. Profiles generated yield
information on RNA concentration, allow a visual
inspection of RNA integrity, and generate
approximated ratios between the mass of ribosomal
sub-units. In this review, the
importance of RNA quality for the qRT-PCR was
analyzed by determining the RNA quality of different
bovine tissues and cell culture. Independent
analysis systems are described and compared (OD
measurement, NanoDrop, Bioanalyzer 2100 and
Experion). Advantage and disadvantages of RNA
quantity and quality assessment are shown in
performed applications of various tissues and cell
cultures. Further the comparison and correlation
between the total RNA integrity on PCR performance
as well as on PCR efficiency is described. On the
basis of the derived results we can argue that
qRT-PCR performance is affected by the RNA integrity
and PCR efficiency in general is not affected by the
RNA integrity. We can recommend a
RIN higher than five as good total RNA quality and
higher than eight as perfect total RNA for
downstream application.
Go the RNA Integrity
sub-domain
Quantitative real-time PCR for
cancer detection: the lymphoma case.
Stahlberg A, Zoric N, Aman P, Kubista
M.
Expert Rev Mol Diagn. 2005 5(2): 221-230.
TATAA Biocenter, Medicinaregatan 7B, 413 90
Gothenburg, Sweden.
Advances in the biologic sciences
and technology are providing molecular targets for
diagnosis and treatment of cancer. Lymphoma is a
group of cancers with diverse clinical courses. Gene
profiling opens new possibilities to classify the
disease into subtypes and guide a differentiated
treatment. Real-time PCR is characterized by high
sensitivity, excellent precision and large dynamic
range, and has become the method of choice for
quantitative gene expression measurements. For
accurate gene expression profiling by real-time PCR,
several parameters must be considered and carefully
validated. These include the use of reference genes
and compensation for PCR inhibition in data
normalization. Quantification by real-time PCR may
be performed as either absolute measurements using
an external standard, or as relative measurements,
comparing the expression of a reporter gene with
that of a presumed constantly expressed reference
gene. Sometimes it is possible to compare expression
of reporter genes only, which improves the accuracy
of prediction. The amount of biologic material
required for real-time PCR analysis is much lower
than that required for analysis by traditional
methods due to the very high sensitivity of PCR.
Fine-needle aspirates and even single cells contain
enough material for accurate real-time PCR analysis.
Real-time
PCR for mRNA quantitation
Marisa L. Wong and Juan F. Medrano
Biotechniques 39 (2005)
Real-time PCR has become one of the
most widely used methods of gene quantitation
because it has a large dynamic range, boasts
tremendous sensitivity, can be highly
sequence-specific, has little to no
post-amplification processing, and is amenable to
increasing sample throughput. However, optimal
benefit from these advantages requires a clear
understanding of the many options available for
running a real-time PCR experiment. Starting with
the theory behind real-time PCR, this review
discusses the key components of a real-time PCR
experiment, including one-step or two-step PCR,
absolute versus relative quantitation,
mathematical mod-els available for relative
quantitation and amplification efficiency
calculations, types of normalization or data
correction, and detection chemistries. In
addition, the many causes of variation as well as
methods to calculate intra- and inter-assay
variation are addressed.
Comment and response
on Wong and Medrano’s
“Real-time PCR for mRNA
quantification”
BioTechniques 39: 75-85 (July 2005)
Martin Dufva
Technical University of Denmark, Lyngby,
Denmark
Absolute
quantification of mRNA using real-time
reverse transcription PCR assays.
Bustin
SA
Journal of Molecular Endocrinology 25: 169-193 (
2000)
The reverse transcription
polymerase chain reaction (RT-PCR) is the most
sensitive method for the detection
of low-abundance mRNA, often obtained from limited
tissue samples. However, it is a complex technique, there are substantial
problems associated with its true sensitivity,
reproducibility and
specificity and, as a quantitative method, it
suffers from the problems inherent in PCR. The
recentintroduction of
fluorescence-based kinetic RT-PCR procedures
significantly simplifies the process of producing
reproducible quantification of mRNAs and promises to
overcome these limitations. Nevertheless,
their successful application depends on a clear
understanding of the practical problems, and careful experimental design,
application and validation remain essential for
accurate quantitative measurements
of transcription. This review discusses the
technical aspects involved, contrasts conventional and kinetic RT-PCR methods
for quantitating gene expression and compares the
different kinetic RT-PCR systems. It
illustrates the usefulness of these assays by
demonstrating the significantly
different levels of transcription between
individuals of the housekeeping gene family, glyceraldehyde-3-phosphate-dehydrogenase
(GAPDH).
Quantification of
mRNA using real-time reverse transcription PCR:
trends and problems.
Bustin SA. J Mol
Endocrinol. 2002 29: 23-29 Review
The
fluorescence-based real-time reverse transcription
PCR (RT-PCR) is widely used for the quantification of steady-state mRNA
levels and is a critical tool for basic research,
molecular medicine and
biotechnology. Assays are easy to perform, capable
of high throughput, and can combine high sensitivity with reliable specificity.
The technology is evolving rapidly with the
introduction of new enzymes,
chemistries and instrumentation. However, while
real-time RT-PCR addresses many of the difficulties inherent in conventional
RT-PCR, it has become increasingly clear that it
engenders new problems
that require urgent attention. Therefore, in
addition to providing a snapshot of the state-of-the-art in real-time RT-PCR,
this review has an additional aim: it will
describe and discuss critically
some of the problems associated with interpreting
results that are numerical and lend themselves to statistical analysis, yet
whose accuracy is significantly affected by
reagent and operator variability.
Validities of mRNA quantification
using recombinant RNA and recombinant DNA
external calibration curves in real-time RT-PCR
M. W. Pfaffl & M. Hageleit
Biotechnology Letters (2001) 23, 275-282
Reverse transcription (RT)
followed by polymerase chain reaction (PCR) is the
technique of choice for analysing mRNA in extremely
low abundance. Real-time RT-PCR using SYBR Green I
detection combines the ease and necessary exactness
to be able to produce reliable as well as rapid
results. To obtain high accuracy and reliability in
RT and real-time PCR a highly defined calibration
curve is needed. We have developed, optimised and
validated an Insulin-like growth factor-1 (IGF-1)
RT-PCR in the LightCycler, based on either a
recombinant IGF-1 RNA (recRNA) or a recombinant
IGF-1 DNA (recDNA) calibration curve. Above that,
the limits, accuracy and variation of these
externally standardised quantification systems were
determined and compared with a native RT-PCR from
liver total RNA. For the evaluation and optimisation
of cDNA synthesis rate of recRNA several RNA backgrounds were tested. We conclude that
external calibration curve using recDNA is a better
model for the quantification of mRNA than the recRNA
calibration model. This model showed higher
sensitivity, exhibit a larger quantification range,
had a higher reproducibility, and is more stable
than the recRNA calibration curve.
METHODS & REVIEWS
Quantitative Real-Time
Polymerase Chain Reaction for the Core Facility
Using TaqMan and the Perkin-Elmer/Applied
Biosystems Division 7700 Sequence Detector
by
Deborah S. Grove
Nucleic Acid
Facility, Life Science Consortium, The
Pennsylvania State University, University Park, PA
16802
The real-time TaqMan
PCR and applications in veterinary
medicine
by
Christian M. Leutenegger
REAL-TIME PCR
by M.Tevfik
Dorak, MD, PhD
http://dorakmt.tripod.com/genetics/realtime.html
Quantitative
real-time RT-PCR
A very short course
Gregor L. Shipey (The University of Texas,
Houston)
Assay Development on TaqMan System
Assay Setup and Data Analysis
Advantage of a high
temperature fluorescence
acquisition
during amplification
Development and validation of an
externally standardised quantitative Insulin
like
growth factor-1 (IGF-1) RT-PCR using
LightCycler SYBR ® Green I technology.
Pfaffl, MW (2001)
In: Meuer, S, Wittwer, C, Nakagawara,
K, eds. Rapid Cycle Real-time PCR, Methods and
Applications
Springer Press, Heidelberg, ISBN
3-540-66736-9
How to
Reduce Primer Dimers in a LightCycler PCR
Technical
Note No. LC 1/1999
4th segment quantification
The 4th segment during the
amplification program melts unspecific LightCycler
PCR products at 85°C,
eliminates the non-specific fluorescence signal
and ensures accurate quantification
of the desired IGF-1 products (figure 2). High
temperature quantification keeps the fluorescence of the no
template control around 1 unit, while the
specific IGF-1
signal rises up to 40-50 fluorescence units. SYBR
® Green I determination at 85°C results in reliable
and sensitive IGF-1 quantification with high
linearity (correlation
coefficient r = 0.99) over seven orders of
magnitude (102
to 109 RNA start molecules; lower
figure). In contrast, a conventional determination at 72°C
results in a truncated quantification range (r =
0.99) over only four orders
of magnitude (105 to 109 RNA
start molecules; upper figure).
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