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Real time PCR - European Pharmaceutical Review

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SUBSCRIBE<br />

ISSUE<br />

2009 q<strong>PCR</strong><br />

assays. Tests were developed to<br />

detect mycotoxins, T-toxin,<br />

phytoestrogens such as Coumestrol<br />

and several other contaminants,<br />

particularly in food.<br />

Quantification of RNA<br />

This obviously is the area that has<br />

most immediately beneficiated from<br />

real <strong>time</strong> <strong>PCR</strong>. It is well accepted that<br />

measures of gene expression is now<br />

quantitative rather than semiquantitative.<br />

Two methods exist, one<br />

absolute comparing gene expression<br />

to known standards and a second,<br />

relative to an endogenous reference<br />

(usually a house keeping gene).<br />

Outside its plain use for gene<br />

expression studies (in cells in<br />

response to stimuli for example), real<br />

<strong>time</strong> <strong>PCR</strong> has been instrumental<br />

notably in transcriptome studies for<br />

confirming micro-array work, when<br />

limited amount of material is available<br />

(small tissue biopsy studies), or for<br />

large studies necessitation high<br />

thorough-put and automatism with<br />

<strong>PCR</strong> robots. This has notably<br />

warranted the development and<br />

success of the micro-fluidic card<br />

systems. It was recently argued 7 that<br />

advances in the tumour biology have<br />

now provided molecular targets for<br />

diagnosing and treating cancer.<br />

Clustering algorithms have revealed a<br />

molecular diversity that forms a new<br />

taxonomy with diagnostic, prognostic<br />

and possibly therapeutic significance.<br />

The challenge in pathology today is<br />

to develop and implement such<br />

molecular classifications in routine<br />

clinical practice. This requires<br />

objective, robust, and cost-effective<br />

techniques and real-<strong>time</strong> <strong>PCR</strong> offers<br />

such attractive features.<br />

Discrimination assay<br />

Genotyping using end point assays or<br />

melting curves analysis assays<br />

provides rapid results (raw biological<br />

samples to SNP genotyping results in<br />

less than one hour), highly accurate in<br />

virtually any sample (low amount of<br />

material or poor quality samples) and<br />

an increasing number of publications<br />

Figure 10: Pedigree of an Autosomal Dominant blindness family with a deletion of the<br />

entire OPA1 gene. Carriers of the deletion are indicated with filled symbols and normal<br />

individuals with open symbols 10 . <strong>Real</strong>-<strong>time</strong> was used in a copy number assay for the OPA1<br />

gene using the SYBR-Green I dye. Quantification of the OPA1 gene deletion in 13<br />

members of the family: Non-carriers showed a ratio close to 1 for the GAPDH versus<br />

OPA1 quantification. In contrast, all carriers of the deletion showed a clear reduction in<br />

this ratio. Adapted from BMC Biotechnology, 2003 5<br />

(see for example any issues of Clinical<br />

Chemistry, Molecular Diagnostic,<br />

Nucleic Acid Research…) testifies<br />

how instrumental real <strong>time</strong> <strong>PCR</strong> has<br />

been in this field. The success of the<br />

technology has also promoted the<br />

development of new molecular tools<br />

such as minor grove binding,<br />

molecular beacon or scorpion probes.<br />

Genotyping assay for SNP are now<br />

available in array format, (TaqMan®<br />

SNP Genotyping Assays by ABI,<br />

Illumina Chip by Affimetrix and<br />

several others) making it<br />

straightforward to perform genome<br />

wide SNP genotyping studies.<br />

Importantly, melting curve analysis<br />

assays, scanning a particular<br />

sequence where polymorphisms are<br />

suspected, were shown to accurately<br />

reveal mutations/SNPs 8 .<br />

References<br />

1. Luthra, R. and L.J. Medeiros, 5 '-> 3 '<br />

exonuclease-based real-<strong>time</strong> <strong>PCR</strong><br />

methods for detecting the t(14;18)<br />

and t(11;14) in non-Hodgkin's<br />

lymphomas. J. Clin. Ligand Assay,<br />

2000; 23: 6-14.<br />

2. Ramachandra, C. and S. Melnick,<br />

Multidrug resistance in human<br />

tumors: molecular diagnosis and<br />

clinical significance. Mol. Diag,<br />

1999; 4: 81-94.<br />

3. Vos, C.B.J., N.T. Ter Haar, J.L.<br />

Peterse, G.J. Cornelisse and M.J.<br />

Van de Vijver, Cyclin D-1 gene<br />

amplification and overexpression<br />

are present in ductal carcinoma in<br />

situ of the breast. J. Pathol., 1999;<br />

187: 279-284.<br />

4. Gunther, T., R. Schneider-Stock,<br />

C. Hackel, H.U. Kasper, M. Pross,<br />

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