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Advanced Molecular
Diagnostics for Biomarker Discovery
Biomolecular Detection and Quantification
Special Issue:
Advanced Molecular Diagnostics for Biomarker Discovery
Edited by Michael W. Pfaffl
Volume
5, Pages 1-38 (September 2015) -- Part 1
and
Volume
6, Pages 1-32 (January 2016) --
Part 2
download full papers
and reviews
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Editorial
by Michael W. Pfaffl
Guest
editor's introduction for BDQ special issue:
‘Advanced Molecular
Diagnostics for Biomarker Discovery’
Dear
reader,
I have the honour to present the first special issue in ‘Biomolecular
Detection and Quantification’ (BDQ) which is entitled ‘Advanced
Molecular Diagnostics for Biomarker Discovery’. It is published in
conjunction with the last qPCR and NGS 2015 event which took place in
March 2015 in Freising Weihenstephan, Germany (www.qPCR-NGS-2015.net)
covering the same theme. This aim of this special issue is to present
the newest developments in highly sophisticated molecular techniques
and related scientific applications in combination with the latest data
analysis tools. Furthermore, the implementation of these advanced
molecular diagnostics tools for discovery, quantification and
validation of molecular biomarkers will be presented. Since 2004 the
history of this conference series was primarily focused on quantitative
PCR (qPCR) related techniques and applications, but since 2010 the
focus was broadened to digital PCR (dPCR), next generation sequencing
(NGS) and the underlying complex data analysis applying bioinformatical
tools. This history is nicely summarized by the BDQ editors in one of
the previous editorials ‘qPCR, dPCR, NGS – A journey’ [1].
Today, biomarkers have immense scientific and potential clinical value
in the diagnostic testing pipeline. They span the broad diagnostic
sector from the genome to the phenome over various ‘-ome’ levels and
have been used since the earliest days of the application of molecular
biology. A biomarker signature is capable of revealing specific
biological traits or measurable physiological changes, according to a
disease status, physiological or pathological condition, or after drug
application [2]. As novel gene-based diagnostics proliferate, they will
be increasingly important to drug development, approval and later in
clinical practice. There are numerous promising singular biomarkers or
more complex multiple biomarker signatures available, the most
important of which are currently used for assessing drug development,
patient stratification or measuring the efficacy of treatment in
therapeutic medicine. Clearly there is a translation problem to
transfer the results from molecular diagnostics research to drug
development and finally clinical practice [3] and [4]. In future,
biomarkers and their interaction on various ‘-ome’ levels will increase
the molecular and cellular knowledge of disease and drug mechanisms.
The first goal in the biomarker development pipeline is the generation
of reliable biological data from applied diagnostic techniques and
applications. Therefore, an international consortium of scientists,
working in various fields of nucleic acids molecular diagnostics
established working guidelines for qPCR and dPCR [5] and [6]. These, so
called, MIQE guidelines have set new standards in clinical, veterinary
and agricultural diagnostics science and are highly appreciated by the
scientific community, which is evident by the high citation rate of
these publications.
An important step in the workflow of molecular diagnostics and
biomarker development is driven by tissue limitations and the related
methodological considerations. Therefore the first focus of the
presented publications is dedicated to nucleic acid degradation and the
impact of RNA quality and RNA integrity to ensure transcriptional
biomarker validity and how post-mortem and physical degradation affects
RNA stability. A further MIQE compliant publication is focused on the
optimization of the qPCR workflow and data analysis by removal of
between-run variation in a multi-plate qPCR experiment.
Novel classes of biomarkers are circulating nucleic acids which are
free floating in blood, bound to proteins or coating cellular
micro-vesicles. Most prominent is the microRNA family, which was
recently detected as free, extracellular RNA in the bloodstream [7].
Their potential application as circulating biomarkers in ‘liquid
biopsies’ was promptly recognized and investigated, because they are
capable of distinguishing diseased individuals from healthy probands.
The non-invasive nature of circulating microRNA collection and their
sensitivity and specificity in diseases has encouraged intensive
microRNA biomarker research. Since then, circulating extracellular
small RNAs (smexRNA) have been detected in a variety of body fluids,
e.g. milk, saliva, tears, sweat, cerebrospinal fluid, urine, etc. [8].
Herein we present the potential of smexRNA in veterinary diagnostics to
serve as new biomarker signatures by applying multivariate data
analysis.
A further focus in this special issue ‘Advanced Molecular Diagnostics
for Biomarker Discovery’ is dedicated to high throughput genomics and
transcriptomics technologies by applying NGS techniques. This advanced
technology potentially allows a holistic view and generates numerous
candidate biomarkers with potential diagnostic or clinical value, but
the practical value of these broadly scattered biomarkers remains
uncertain. The implementation of the NGS workflow into the clinic is
challenging, due to insufficient control for variation in patient
sample loading, target amplification efficiency, library preparation
and later sequencing error. One of the publications in this special
issue addresses these methodological considerations in the NGS workflow
– control for stochastic sampling variation and the polymerase error.
In the recent years, time consuming Sanger sequencing has been
increasingly replaced by parallel resequencing of multiple genes using
NGS technologies. Molecular diagnostic laboratories or commercial
vendors often develop customized NGS resequencing workflows for
specific diagnostic portfolios. Herein the application of a new target
enrichment strategy is presented, enabling the resequencing of any
human genomic region of interest by targeted resequencing and variant
validation using ‘pxlence’ PCR assays.
While the quality of the sample to be investigated is an important
consideration, sample availability is often limited. Hence, in human
diagnostics there is always the challenge to detect numerous biomarkers
from limited sample material. Taking this to the extreme, we are able
to sample single cells, such as circulating tumor cells (CTCs), and
quantify the cellular nucleic acid content. One of the special issue
publications focusses on this area of research, exploring the
feasibility of a protocol for the isolation and molecular
characterization of single CTCs from cancer patients using a
single-cell NGS approach.
A further source of variance in sample measurement is the introduction
of pre-amplification methods to make the essential nucleic acid
biomarkers measurable with such limited starting material. This topic
is addressed in a contribution on the evaluation of bias associated
with high-multiplex and target-specific pre-amplification.
To achieve reproducible diagnostic signatures and physiological
meaningful answers, various complex bioinformatical tools have to be
applied for data analysis. The integrative analysis of multilevel
biological markers, most prominent the microRNA–mRNA network, and
additionally the analysis of genomic, proteomic, or metabolomic markers
will help to understand the molecular interaction between the ‘-ome’
levels, and hence the impact on physiology. By using sophisticated
bioinformatic tools to integrate singular biomarker datasets, one can
identify regulatory networks on the post-transcriptional level and even
beyond [9]. These regulatory networks and the connected biomarkers help
to understand the disease processes, the interaction with drugs and
will be essential to shape meaningful clinical conclusions. Thus, the
use of biomarker signatures and the connected molecular network, and
their successful translation into clinical practice are likely to play
an important role in developing and promoting personalized medicine in
the near future.
I hope the selection of the presented publications in this first BDQ
special issue ‘Advanced Molecular Diagnostics for Biomarker Discovery’
has attracted your attention and will help to solve further analytical
challenges in your own biomarker development pipeline. You can watch a
selection of recorded talks presented at the qPCR and NGS 2015
symposium in Freising-Weihenstephan via our streaming portal
eConferences – Amplify your knowledge in qPCR, dPCR and NGS!
(eConference.qPCR-NGS-2015.net).
This streaming portal is dedicated to
scientists from the community of qPCR, dPCR, NGS, and Molecular
Diagnostics. You will find all the records from around 280
presentations from various events in the past years (2010–2015). We
provide the presentations for FREE via movie streaming technology in
high quality, high resolution and perfect sound quality in high speed.
Enjoy reading and watching.
Guest editor:
Michael W. Pfaffl
Physiology Weihenstephan
Technische Universität München
Weihenstephaner Berg 3
85354 Freising
Germany
E-mail address: Michael.Pfaffl@wzw.tum.de
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References
[1] J.F. Huggett, J. O’Grady, S. Bustin; qPCR, dPCR, NGS – a
journey; Biomol. Detect. Quantif., 3 (2015), pp. A1–A5
[2] I. Riedmaier, M.W. Pfaffl; Transcriptional biomarkers – high
throughput screening, quantitative verification and bioinformatical
validation methods; Methods, 59 (1) (2013), pp. 3–9
[3] A.J. Atkinson, NCI-FDA Biomarkers Definitions Working Group;
Biomarkers and surrogate endpoints: preferred definitions and
conceptual framework; Clin. Pharmacol. Ther., 69 (2001), pp. 89–95
[4] K.A. Phillips, S. Van Bebber, A.M. Issa; Diagnostics and
biomarker development: priming the pipeline; Nat. Rev. Drug Discov., 5
(2006), pp. 463–469
[5] S.A. Bustin, V. Benes, J.A. Garson, J. Hellemans, J. Huggett,
M.
Kubista, R. Mueller, T. Nolan, M.W. Pfaffl, G.L. Shipley, J.
Vandesompele, C.T. Wittwer; The MIQE guidelines: minimum information
for publication of quantitative real-time PCR experiments; Clin. Chem.,
55 (4) (2009), pp. 611–622
[6] J.F. Huggett, C.A. Foy, V. Benes, K. Emslie, J.A. Garson, R.
Haynes, J. Hellemans, M. Kubista, R.D. Mueller, T. Nolan, M.W. Pfaffl,
G.L. Shipley, J. Vandesompele, C.T. Wittwer, S.A. Bustin; The digital
MIQE guidelines: minimum information for publication of quantitative
digital PCR experiments; Clin. Chem., 59 (6) (2013), pp. 892–902
[7] S.S.C. Chim, T.K.F. Shing, E.C.W. Hung, T.Y. Leung, T.K. Lau,
W.K. Rossa, Y.M.D. Lo; Detection and characterization of placental
microRNAs in maternal plasma; Clin. Chem., 54 (2008), pp. 482–490
[8] J.A. Weber, D.H. Baxter, S. Zhang, D.Y. Huang, K. How Huang,
M. Jen Lee, D.J. Galas, K. Wang; The microRNA spectrum in 12 body
fluids; Clin. Chem., 56 (2010), pp. 1733–1741
[9] S.U. Meyer, K. Stoecker, S. Sass, F.J. Theis, M.W. Pfaffl;
Post-transcriptional regulatory networks from expression profiling to
integrative analysis of mRNA and microRNA data. Chapter 15 –
Quantitative real-time PCR; R. Biassoni, A. Raso (Eds.), Lab Protocol
Series: Methods in Molecular
Biology, Humana Press, USA (2014) ISBN-10: 1493907328; Methods Mol
Biol. 1160, pp. 165–188 |
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Full papers:
Special
Issue: Advanced Molecular Diagnostics for Biomarker
Discovery – Part I
Volume 5, Pages 1-38 (September 2015) -- Part 1
Guest
editor's introduction for BDQ special
issue:
‘Advanced Molecular Diagnostics for Biomarker Discovery’
Pages 1-2
Michael W. Pfaffl
Effects of
post-mortem and physical
degradation on RNA integrity and
quality.
Pages 3-9
Monika Sidova, Silvie Tomankova, Pavel Abaffy, Mikael Kubista, Radek
Sindelka
Removal of between-run
variation in a multi-plate qPCR experiment.
Pages 10-14
Jan M. Ruijter, Adrián Ruiz Villalba, Jan Hellemans, Andreas
Untergasser, Maurice J.B. van den Hoff
The
potential of circulating extracellular
small RNAs (smexRNA) in
veterinary diagnostics—Identifying biomarker signatures by multivariate
data analysis.
Pages 15-22
Spornraft Melanie, Kirchner Benedikt, Michael W. Pfaffl, Riedmaier
Irmgard
Feasibility
of a workflow for the molecular
characterization of single
cells by next generation sequencing.
Pages 23-29
Francesca Salvianti, Giada Rotunno, Francesca Galardi, Francesca De
Luca, Marta Pestrin, Alessandro Maria Vannucchi, Angelo Di Leo, Mario
Pazzagli, Pamela Pinzani
Control
for stochastic sampling variation
and qualitative sequencing
error in next generation sequencing.
Pages 30-37
Thomas Blomquist, Erin L. Crawford, Jiyoun Yeo, Xiaolu Zhang, James C.
Willey
Special
Issue: Advanced Molecular Diagnostics for Biomarker
Discovery – Part II
Volume 6, Pages 1-32 (January 2016) --
Part 2
Pitfalls in PCR
troubleshooting: Expect the unexpected?
Pages 1-3
Livia Schrick, Andreas Nitsche
Differential
amplicons (ΔAmp)—a new molecular method to assess RNA integrity.
Pages 4-12
J. Björkman, D. Švec, E. Lott, M. Kubista, R. Sjöback
Evaluation
of bias associated with high-multiplex, target-specific
pre-amplification.
Pages 13-21
Steven T. Okino, Michelle Kong, Haya Sarras, Yan Wang
Targeted
resequencing and variant validation using pxlence PCR assays.
Pages 22-26
Frauke Coppieters, Kimberly Verniers, Kim De Leeneer, Jo Vandesompele,
Steve Lefever
Incidence
and detection of beak and feather disease virus in psittacine birds in
the UAE.
Pages 27-32
F. Hakimuddin, F. Abidi, O. Jafer, C. Li, U. Wernery, Ch. Hebel, K.
Khazanehdari
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