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Updated: Aug 21, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Divergence of spatial gene expression profiles following species-specific gene duplications in human and mouse
Lukasz Huminiecki1, Kenneth H Wolfe
1Department of Genetics, Smurfit Institute, University of Dublin, Trinity College, Dublin 2, Ireland. Lukasz.Huminiecki@cgb.ki.se
Abstract:
To examine the process by which duplicated genes diverge in function, we studied how the gene expression profiles of orthologous gene sets in human and mouse are affected by the presence of additional recent species-specific paralogs. Gene expression profiles were compared across 16 homologous tissues in human and mouse using microarray data from the Gene Expression Atlas for 1575 sets of orthologs including 250 with species-specific paralogs. We find that orthologs that have undergone recent duplication are less likely to have strongly correlated expression profiles than those that remain in a one-to-one relationship between human and mouse. There is a general trend for paralogous genes to become more specialized in their expression patterns, with decreased breadth and increased specificity of expression as gene family size increases. Despite this trend, detailed examination of some particular gene families where species-specific duplications have occurred indicated several examples of apparent neofunctionalization of duplicated genes, but only one case of subfunctionalization. Often, the expression of both copies of a duplicated gene appears to have changed relative to the ancestral state. Our results suggest that gene expression profiles are surprisingly labile and that expression in a particular tissue may be gained or lost repeatedly during the evolution of even small gene families. We conclude that gene duplication is a major driving force behind the emergence of divergent gene expression patterns.
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