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Target Discovery and Validation Reviews and Protocols

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Pancreatic Cancer 59<br />

on the microarray, the ratio of fluorescence intensities reflects the relative<br />

abundance for that mRNA between the two samples.<br />

The two-color fluorescence format provides robust measurements of gene<br />

expression ratios, effectively mollifying variations in amounts of spotted DNA<br />

<strong>and</strong> of hybridization kinetics. In some experimental designs, the selection of the<br />

second-color “reference” specimen is natural, for example, the zero time-point<br />

in a time-course, or the untreated sample in a pharmacological treatment. In<br />

other cases, an arbitrary “universal” RNA reference, comprising a pool of mRNA<br />

from cell lines or tissues, is more appropriate (28). Because each sample is<br />

hybridized against the same reference, samples can be readily compared with<br />

each other. In such cases, gene expression ratios are typically “mean-centered,”<br />

i.e., reported in relation to the average of the specimens assayed (rather than to<br />

the arbitrary reference).<br />

For small specimens (e.g., tissue biopsies or microdissected samples),<br />

insufficient input RNA may be available for the labeling protocol detailed<br />

in Subheading 3.1.3. In such cases, the reader is directed to linear RNA<br />

amplification protocols based on T7 RNA polymerase-mediated in vitro<br />

transcription (29).<br />

1.3. Serial Analysis of Gene Expression<br />

SAGE is a comprehensive expression profiling technology for quantitative<br />

gene expression in samples that does not depend on the prior availability of<br />

transcript information (24). In this aspect, it varies from other expression<br />

profiling technologies such as cDNA microarrays (see Subheading 2.1.2. <strong>and</strong><br />

Chapter 5, Volume 1) where analyses is limited to a known repertoire of arrayed<br />

sequences. The premise of SAGE rests on the concept that a short sequence of<br />

nucleotides (~11 base pairs [bp], known as a “tag”) is sufficient for uniquely<br />

identifying a transcript (24,30). The “serial” aspect of this platform comes<br />

from the generation of “concatemers” by ligating large numbers of SAGE tags<br />

within a “library” that are then serially analyzed by sequencing for gauging relative<br />

transcript levels.<br />

The sequential steps involved in generation of a SAGE library are illustrated<br />

in Fig. 1 (30). Briefly, double-str<strong>and</strong>ed cDNA is generated from mRNA<br />

isolated from a sample of interest <strong>and</strong> immobilized on magnetic beads. The<br />

cDNA is then digested with a frequent cutting restriction enzyme such as<br />

NlaIII <strong>and</strong> ligated to a linker with a restriction recognition site <strong>and</strong> a PCR<br />

primer site. Subsequent digestion by another restriction enzyme (e.g., BsmfI)<br />

generates tags that contain the linker <strong>and</strong> a short nucleotide sequence (~11 bp)<br />

downstream of BsmfI recognition site that is specific for the transcript from<br />

which it was generated. Pairs of tags are then ligated to generate so-called<br />

“ditags,” which are PCR amplified, digested by NlaIII to remove the linkers

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