Transcriptional Profiling Using DNA Array Data

Abstract

Subsequent to sequencing projects new strategies are required for efficient functional characterization of the identified genes. DNA array technology was proven to be a powerful tool by monitoring the transcriptional levels of all or a significant portion of genes of an organism simultaneously. Here, we present data obtained by spotting PCR products derived from yeast ORFs as high density arrays onto nylon or polypropylene membranes. Total RNA of yeast cells was then prepared, radioactively labeled and hybridized to such arrays. The signal intensity detected for each spot in the array is at least a semiquantitative measure of the expression level of the corresponding gene. Transcriptional profiles can be obtained comparing multiple conditions, like varying growth media or temperatures and different mutant strains. In order to compare these conditions, the hybridization signal intensities must be brought to roughly the same level (’normalization’). Systematic differences are corrected for by linear regression. Changes in the expression levels of certain genes are detected by direct comparison to a control condition. Coexpressed genes, i.e. genes that show similar profiles across all conditions are found by clustering techniques. It is often assumed that these genes are functionally related. Correspondence analysis reveals under which of several conditions the transcriptional profile of an organism will change significantly, as well as the identity of the involved genes. 1 2 3 4

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Cite this paper

@inproceedings{Hauser2000TranscriptionalPU, title={Transcriptional Profiling Using DNA Array Data}, author={Nicole C. Hauser and Kurt Fellenberg and Tim Bei\ssbarth}, year={2000} }