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

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220 <strong>Bartlett</strong><br />

Even once novel regulatory changes are identified using differential display techniques,<br />

it remains common to double-check these changes using a second system, such<br />

as representational differential analyses (RDA), PCR. or Northerns, to confirm the<br />

result. This is an important confirmatory step before investing significant effort into the<br />

study of novel genes or gene transcripts identified by differential display (14). Even<br />

with these caveats, differential display has already proven itself as a highly valuable<br />

system for the study of gene expression changes during neoplastic progression.<br />

There are many similarities between differential display technologies and serial<br />

analysis of gene expression (SAGE). Indeed, SAGE might be seen as a logical progression<br />

from differential display. Both use degenerate primer sequences to produce a<br />

fingerprint of mRNA species for analysis. In differential display. these sequences may<br />

range from the highly selective (members of a particular gene family) to the more<br />

inclusive (polyT based) (14–21). Both methods use tagged primers, differential display<br />

for the purpose of detection, and SAGE for the purpose of capture and ligation. The<br />

fundamental difference between these approaches is that differential display continues<br />

to use a semiquantitative measure of expression and although more sensitive than<br />

microarrays in the detection of low copy number changes in expression, signal strength<br />

remains a determining factor of sensitivity. Again, identification of transcripts with<br />

altered expression relies on further analysis, either by sequencing of a representative<br />

clone or by blotting with a selective probe. A strength of this approach is illustrated<br />

by its ability to be targeted at specific genes or gene families. However, the number<br />

of transcripts able to be analyzed is limited by the electrophoretic separation required<br />

for the analysis of the results. Although this still has the capacity to recognize many<br />

hundreds of distinct transcripts, it is unlikely that the capacity of differential display<br />

can match that of either gene microarrays or SAGE. This section includes two different<br />

differential display protocols, one using targeted primers (AU Motifs) and the other<br />

being a more global protocol. Further techniques are available in an associated volume<br />

in this series (13).<br />

2.2. Microarrays<br />

DNA Chips or microarrays are becoming much more widely applied to the investigation<br />

of both model systems and whole tissues (14,22–25). However, these approaches<br />

are not, strictly speaking PCR related and therefore we have included an overview of<br />

arrays purely for completeness. DNA microarrays have the advantage of being data<br />

rich, that is to say it is possible to analyze many thousands of genes simultaneously.<br />

Using this approach it is possible to identify transcripts that are markedly upregulated<br />

or downregulated after experimentation or, indeed, as recently reported in the simple<br />

classification of cancers. This approach, in common with many conventional methods<br />

of gene expression analysis (northerns, RDA, etc.) relies on the measurement of<br />

signal intensity resulting from nucleic acid hybridization. Therefore, the efficiency<br />

of detection is a compound of the efficiency of labeling and hybridization of the<br />

individual clone. The resulting data give a semiquantitative estimate of changes in<br />

expression either up or down.<br />

The major weakness of the microarray approach is that it is firstly a semiquantitative<br />

approach and that it is therefore not optimal for the detection of low copy number<br />

gene transcripts. The major strength is the large number of genes (10 3 –10 4 ) that

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