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ARTICLE WATCH<br />

utility of the method, and the stabilization of maltosebinding<br />

protein on binding to maltose is also demonstrated.<br />

MICROARRAYS<br />

Lee MT, Kuo FC,Whitmore GA, Sklar J. Importance of<br />

replication in microarray gene expression studies: statistical<br />

methods and evidence from repetitive cDNA<br />

hybridizations. Proc Natl Acad Sci USA 2000;97:9834–<br />

9839<br />

This study investigates the inherent variability in<br />

gene expression data and assess the extent to which<br />

replication in an experiment produces more consistent<br />

and reliable findings. The results show that any<br />

single microarray output is subject to substantial variability,<br />

even though, by design, variability as a result<br />

of multiple preparations of probe, arrays on different<br />

slides, or arrays generated at different times is not<br />

admitted. A single output yields numerous misclassifications.<br />

Replications are not consistent and therefore<br />

produce different lists of expressed genes. Modeling<br />

the random variation in gene expression indicates<br />

that the probability that mRNA in the sample tissue<br />

184 JOURNAL OF BIOMOLECULAR TECHNIQUES, VOLUME 11, ISSUE 4, DECEMBER 2000<br />

either fails to be represented as probe or fails to<br />

hybridize to the cDNAs on the slide may be as large<br />

as 5% (false-negatives). The probability that ghost<br />

genes are expressed may be as large as 10% (falsepositives).<br />

When microarray data from several replicates<br />

are combined, however, a more accurate picture<br />

of gene expression is produced. It is recommended<br />

that at least three replicates be included in the design<br />

of experiments using cDNA microarrays.<br />

BIOINFORMATICS<br />

Fenyö D. Identifying the proteome: software tools. Curr<br />

Opin Biotechnol 2000;11:391–395.<br />

This article reviews the various software tools that<br />

are available on the internet for searching protein<br />

sequence databases using mass spectral information.<br />

Both peptide mapping data listing the mass values of<br />

proteolytic peptides and fragment ion data derived by<br />

collisional dissociation of peptides to yield sequenceinformative<br />

ions are included. Attention is paid to the<br />

methods used by the various tools to rank protein<br />

candidates and the methods by which the quality of<br />

identifications are assessed.

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