Using DNA microarrays to study gene expression in closely related species
Author(s) -
Alicia Oshlack,
Adrien E. Chabot,
Gordon K. Smyth,
Yoav Gilad
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm111
Subject(s) - dna microarray , biology , microarray , gene expression , computational biology , gene , gene chip analysis , gene expression profiling , complementary dna , microarray analysis techniques , genetics , phenotype , evolutionary biology , bioinformatics
Comparisons of gene expression levels within and between species have become a central tool in the study of the genetic basis for phenotypic variation, as well as in the study of the evolution of gene regulation. DNA microarrays are a key technology that enables these studies. Currently, however, microarrays are only available for a small number of species. Thus, in order to study gene expression levels in species for which microarrays are not available, researchers face three sets of choices: (i) use a microarray designed for another species, but only compare gene expression levels within species, (ii) construct a new microarray for every species whose gene expression profiles will be compared or (iii) build a multi-species microarray with probes from each species of interest. Here, we use data collected using a multi-primate cDNA array to evaluate the reliability of each approach.
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