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John M. S. Bartlett.pdf - Bio-Nica.info

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214 Kerr<br />

after the PCR. This reduces the occurrence of contamination of subsequent assays<br />

by previous PCR products, which is an important consideration for any PCR system.<br />

A disadvantage of this system is that it may not be suitable for all target proteins.<br />

We have found that for some target RNAs trial of a large number of primer sets may be<br />

necessary before suitable primers are found. Also, the short amplicon length leads to an<br />

increased chance of homologous products amplified compared with PCR using primers<br />

for longer amplicons. We have found that the strict conditions may result in it not being<br />

possible to find suitable primers/probe for some RNA species. In our experience, these<br />

have been coagulation proteins, which are known to have a high degree of homology<br />

with other proteins.<br />

3. The above protocol will generate results as the cycle at which a set fluorescence threshold<br />

(Ct) is reached for each standard/unknown for both t-PA mRNA (FAM) and 18S rRNA<br />

(VIC). The standards are used to ensure that the difference between the Ct of the test RNA<br />

species and the Ct of the 18S rRNA internal control (∆Ct) remains constant across all<br />

mRNA dilutions in the range chosen for the standards (10 to 0.156× above). We can ensure<br />

that this is the case by plotting the ∆Ct for each of the standards against the log total RNA<br />

for each of the standards. If the gradient of the slope of this line is less than ± 0.1, this<br />

indicates that the ∆Ct is remaining constant and that the “∆∆Ct∀ method can be used<br />

to quantitate the mRNA for the unknowns as follows. The relative mRNA quantity of<br />

various unknowns compared with a nominal baseline unknown are calculated by using<br />

the formula 2 –∆∆ct , where ∆∆Ct is the difference in the ∆Ct of the test sample and the ∆Ct<br />

of the nominal baseline sample.<br />

The use of the ∆∆Ct method is advantageous when a large number of repeated samples<br />

have to be analyzed because it removes the need for running a set of standards each time,<br />

which is both time-consuming and increases costs. However, for many purposes, it seems<br />

sensible to generate a standard curve each time to ensure the validity of the results.<br />

References<br />

1. Heid, C. A., Stevens, J., Livak, K. J., and Williams, P. M. (1996) Real time quantitative<br />

PCR. Genome Res. 6, 986–994.<br />

2. Desjardin, L. E., Chen, Y., Perkins, M. D., Teixeira, L., Cave, M. D., and Eisenach, K. D.<br />

(1998) Comparison of the ABI 7700 system (TaqMan) and competitive PCR for quantification<br />

of IS6110 DNA in sputum during treatment of tuberculosis. J. Clin. Microbiol. 36,<br />

1964–1968.<br />

3. Goidin, D., Mamessier, A., Staquet, M. J., Schmitt, D., and Berthier-Vergnes, O. (2001)<br />

Ribosomal 18S RNA prevails over glyceraldehyde-3-phosphate dehydrogenase and betaactin<br />

genes as internal standard for quantitative comparison of mRNA levels in invasive and<br />

noninvasive human melanoma cell subpopulations. Anal. <strong>Bio</strong>chem. 295, 17–21.

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