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dc.contributor.authorShoja, Valiaen
dc.contributor.authorMurali, T. M.en
dc.contributor.authorZhang, Liqingen
dc.identifier.citationValia Shoja, T. M. Murali, and Liqing Zhang, “Expression Divergence of Tandemly Arrayed Genes in Human and Mouse,” Comparative and Functional Genomics, vol. 2007, Article ID 60964, 8 pages, 2007. doi:10.1155/2007/60964en
dc.description.abstractTandemly arrayed genes (TAGs) account for about one third of the duplicated genes in eukaryotic genomes, yet there has not been any systematic study of their gene expression patterns. Taking advantage of recently published large-scale microarray data sets, we studied the expression divergence of 361 two-member TAGs in human and 212 two-member TAGs in mouse and examined the effect of sequence divergence, gene orientation, and chromosomal proximity on the divergence of TAG expression patterns. Our results show that there is a weak negative correlation between sequence divergence of TAG members and their expression similarity. There is also a weak negative correlation between chromosomal proximity of TAG members and their expression similarity. We did not detect any significant relationship between gene orientation and expression similarity. We also found that downstream TAG members do not show significantly narrower expression breadth than upstream members, contrary to what we predict based on TAG expression divergence hypothesis that we propose. Finally, we show that both chromosomal proximity and expression correlation in TAGs do not differ significantly from their neighboring non-TAG gene pairs, suggesting that tandem duplication is unlikely to be the cause for the higher-than-random expression association between neighboring genes on a chromosome in human and mouse.en
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.titleExpression Divergence of Tandemly Arrayed Genes in Human and Mouseen
dc.typeArticle - Refereeden
dc.description.versionPublished versionen
dc.rights.holderCopyright © 2007 Valia Shoja et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.contributor.departmentComputer Scienceen
dc.title.serialComparative and Functional Genomicsen

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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International