Stephen Bustin

Prof. Stephen Bustin

Anglia Ruskin University
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2009 in Clinical Chemistry
Verified
Journal Article
Open access
PDF file
SBStephen Bustin
Stephen Bustin
VBVladimir Benes
Vladimir Benes
JGJeremy A Garson
Jeremy A Garson
JHJan Hellemans
Jan Hellemans
JHJim Huggett
Jim Huggett
CWCarl T Wittwer
Carl T Wittwer
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.

1 August 2002 in Journal of Molecular Endocrinology
Verified
Journal Article
Open access
PDF file
SBStephen Bustin
Stephen Bustin
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.

1 August 2006 in Nature Protocols
Verified
Journal Article
Closed access
PDF file
TNTania Nolan
Tania Nolan
RHRebecca E Hands
Rebecca E Hands
SBStephen Bustin
Stephen Bustin

7 April 2005 in Genes & Immunity
Verified
Journal Article
Open access
PDF file
JHJim Huggett
Jim Huggett
KDK Dheda
K Dheda
SBStephen Bustin
Stephen Bustin
AZAlimuddin Zumla
Alimuddin 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.

1 June 2005 in Journal of Molecular Endocrinology
Verified
Journal Article
Closed access
PDF file
SBStephen Bustin
Stephen Bustin
VBVladimir Benes
Vladimir Benes
TNT Nolan
T Nolan
Michael W. PfafflMichael W. Pfaffl
Michael 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.

1 July 2004 in BioTechniques
Verified
Journal Article
Open access
KDKeertan Dheda
Keertan Dheda
JHJim Huggett
Jim Huggett
SBStephen Bustin
Stephen Bustin
MJMargaret A. Johnson
Margaret A. Johnson
GRGraham Rook
Graham Rook
AZAlimuddin Zumla
Alimuddin Zumla
Analysis of RNA expression using techniques like real-time PCR has traditionally used reference or housekeeping genes to control for error between samples. This practice is being questioned as it b... Normalizing RNA Expression Normalizing RNA levels to internal or housekeeping reference standards is widely used to control for sample error when measuring RNA expression levels. Choice of an appro...