PubMed · 9432723
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R Sikorski, R Peters. 1997-12-19. Capturing genes.. https://pubmed.ncbi.nlm.nih.gov/9432723/
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We present statistical methods for analyzing replicated cDNA microarray expression data and report the results of a controlled experiment. The study was conducted to investigate inherent variability in gene expression data and the extent to which replication in an experiment produces more consistent and reliable findings. We introduce a statistical model to describe the probability that mRNA is contained in the target sample tissue, converted to probe, and ultimately detected on the slide. We also introduce a method to analyze the combined data from all replicates. Of the 288 genes considered in this controlled experiment, 32 would be expected to produce strong hybridization signals because of the known presence of repetitive sequences within them. Results based on individual replicates, however, show that there are 55, 36, and 58 highly expressed genes in replicates 1, 2, and 3, respectively. On the other hand, an analysis by using the combined data from all 3 replicates reveals that only 2 of the 288 genes are incorrectly classified as expressed. Our experiment shows that any single microarray output is subject to substantial variability. By pooling data from replicates, we can provide a more reliable analysis of gene expression data. Therefore, we conclude that designing experiments with replications will greatly reduce misclassification rates. We recommend that at least three replicates be used in designing experiments by using cDNA microarrays, particularly when gene expression data from single specimens are being analyzed.
Single direct partial sequencing of anonymous cDNA clones was performed to obtain genetic information on red algae Porphyra yezoensis of which genetic information is not available. This expressed sequence tags (EST) analysis revealed 81 clones (42%) had significant homologies to known genes in GenBank. Of these clones, eight are related to known algal genes, whereas above 90% of the EST clones were newly identified in algae. Putative functional categories of these clones showed that the most abundant genes were involved in stress and defense mechanisms and that the next abundant genes were associated with protein synthetic pathways.
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