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Issue 4 Summer 2002 - Applied Biosystems

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16<br />

technical communications<br />

Real-Time PCR Analysis of Gene<br />

Expression Pattern in Asthma Research<br />

T<br />

he research of allergic reactions like asthma shows<br />

that not one but many parameters are altered in this<br />

disease. So far, analytical methods for quantitative RNA<br />

analysis of many samples and the required screeningmethods<br />

have not been available. With the help of<br />

Real-Time PCR even complex gene expression patterns<br />

including genes that are expressed only weakly can be<br />

analysed quantitatively and automated. This technique<br />

can be used in research of allergic diseases.<br />

Current methods for the analysis of gene expression are<br />

only detecting the formation of gene products indirectly.<br />

With these immunological methods just a couple of parameters<br />

can be detected in parallel. Furthermore, they are rather low<br />

in sensitivity and assay development is time consuming.<br />

Here, Real-Time PCR-technology leads to new ways.<br />

This very sensitive method only requires very low amounts of<br />

sample material. It even allows a direct measurement<br />

of transcripts if combined with a reverse transcription step.<br />

Thus, it gives a real view into the status of genes expressed in<br />

cells. This enables the detection of differential transcription<br />

patterns in disease related cells if compared with healthy ones.<br />

The pharmaceutical industry already uses results<br />

produced with Real-Time PCR for the development of<br />

new drugs. The goal is to identify substances that interfere<br />

selectively and specifically with altered activation or<br />

deactivation-processes in diseased cells. With Real-Time PCR,<br />

monitoring of pharmacological targets is less time-consuming,<br />

more convenient, cheaper and more sensitive – e.g. using<br />

the automated ABI PRISM ® 7900HT Sequence Detection<br />

System. Real-Time PCR not only reduces the so-called<br />

The ABI PRISM ® 7900HT Sequence Detection System<br />

random screening of big numbers of synthetic and/or<br />

natural substances. It even simplifies the validation of results<br />

in animal testing and in humans too, making this research<br />

ethically more acceptable.<br />

Dr. Andreas Pahl from the Department of Pharmacology at<br />

the University of Erlangen, Germany has already used this<br />

screening approach successfully for many years. The goal of<br />

Dr. Pahls´ research is the identification of candidate substances<br />

for the development of new drugs (leads) that selectively inhibit<br />

a sub-population of T-helper cells, the Th2-cells. The basis of<br />

this research is the so-called Th1/Th2-paradigm (see figure 1).<br />

The two sub-populations of T-helper cells produce different<br />

cytokines. While Th1-cells express the cytokines IL-2, IFN-g<br />

and TNF-ß, Th2-cells produce the cytokines IL4, -5 and -13.<br />

Figure 1.<br />

The Th1/Th2-paradigm shows how Th2-cells<br />

are involved in the development of allergic reactions.<br />

Both subpopulations of T-helper cells produce different<br />

cytokines as a result of an antigen-stimulus.<br />

Th1/Th2-Paradigm<br />

In comparison with Th1-cells, Th2-cells do not only react<br />

against typical antigenes like nematodes or protozoa’s.<br />

Th2-cells are the starting point of a reaction-cascade resulting<br />

in the release of histamines because they react on allergens,<br />

too. Thus, Dr. Pahl tries to identify substances that selectively<br />

inhibit the expression of one or more cytokines expressed<br />

by Th2-cells, but that do not interfere with the expression<br />

of Th1-cytokines.<br />

With the help of Real-Time PCR many parameters that are<br />

altered in a disease can be monitored on the same<br />

reaction plate. In his highly automated laboratory Dr. Pahl<br />

technical communications<br />

incubates cell-cultures in 384-well format with drug libraries.<br />

RNA is isolated from these cells and following reverse<br />

transcription the expression of the relevant cytokines is<br />

analysed. Real-Time PCR is performed on the 7900HT system<br />

with 24-hour unattended operation. This allows the quantitative<br />

analysis of up to 5,300 reactions per day. Finally, the results<br />

are stored in a database and analysed for a certain expression<br />

pattern (see figure 2) in order to identify potential leads for<br />

drug development.<br />

Figure 2.<br />

The results of the drug library screening are collected in a<br />

database. A pre-defined pattern is used to search for<br />

lead-substances that specifically inhibit cytokines expressed<br />

by Th2-cells. Hits are highlighted and will be studied further.<br />

Drug screening results: Pattern Searching<br />

Pattern definition : IL-2 > 0 IL-4,5,13 < -1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

1<br />

Conclusion<br />

Plate Well IL-2 IL-4 lL-5 lL-13 PatternMatch<br />

A1<br />

A2<br />

A3<br />

A4<br />

A5<br />

A6<br />

A7<br />

A8<br />

A9<br />

A10<br />

A11<br />

A12<br />

B1<br />

B2<br />

B3<br />

B4<br />

0,00<br />

0,82<br />

1,49<br />

-0,51<br />

1,78<br />

-0,08<br />

-0,58<br />

0,27<br />

0,00<br />

-0,59<br />

-1,07<br />

0,00<br />

0,00<br />

-1,27<br />

-1,81<br />

-0,82<br />

Real-Time PCR allows a higher throughput than conventional<br />

immunologically-based methods. Its very high sensitivity<br />

and large dynamic range allows the analysis of genes<br />

expressed at low levels. The basic PCR chemistry has been<br />

developed further into a very robust, easy to optimise and<br />

standardised method. Assay development is not only fast,<br />

but the assay format itself makes the analysis of many<br />

parameters on the same reaction plate very convenient too.<br />

Therefore, Real-Time PCR offers a new strategy for the<br />

quantitative analysis of gene-expression patterns.<br />

For more information on:<br />

0,00<br />

0,47<br />

0,97<br />

-0,69<br />

1,07<br />

-1,10<br />

-0,63<br />

-2,34<br />

0,00<br />

0,06<br />

0,50<br />

0,00<br />

0,00<br />

-1,59<br />

-1,71<br />

-0,38<br />

0,00<br />

1,39<br />

-0,18<br />

0,09<br />

-0,82<br />

1,10<br />

1,20<br />

-1,4<br />

0,00<br />

-1,40<br />

-0,79<br />

0,00<br />

0,00<br />

-1,09<br />

-0,49<br />

-1,33<br />

0,00<br />

0,73<br />

-0,35<br />

0,30<br />

-0,38<br />

-0,85<br />

-1,19<br />

-3,1<br />

0,00<br />

1,39<br />

-0,18<br />

0,00<br />

0,00<br />

1,10<br />

1,20<br />

-0,96<br />

Real-Time PCR information pack enter: No. 413<br />

X<br />

17

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