English

What does the Allen Gene Expression Atlas tell us about mouse brain evolution?

Quantitative Methods 2012-06-05 v1 Genomics Neurons and Cognition Populations and Evolution

Abstract

We use the Allen Gene Expression Atlas (AGEA) and the OMA ortholog dataset to investigate the evolution of mouse-brain neuroanatomy from the standpoint of the molecular evolution of brain-specific genes. For each such gene, using the phylogenetic tree for all fully sequenced species and the presence of orthologs of the gene in these species, we construct and assign a discrete measure of evolutionary age. The gene expression profile of all gene of similar age, relative to the average gene expression profile, distinguish regions of the brain that are over-represented in the corresponding evolutionary timescale. We argue that the conclusions one can draw on evolution of twelve major brain regions from such a molecular level analysis supplements existing knowledge of mouse brain evolution and introduces new quantitative tools, especially for comparative studies, when AGEA-like data sets for other species become available. Using the functional role of the genes representational of a certain evolutionary timescale and brain region we compare and contrast, wherever possible, our observations with existing knowledge in evolutionary neuroanatomy.

Cite

@article{arxiv.1206.0324,
  title  = {What does the Allen Gene Expression Atlas tell us about mouse brain evolution?},
  author = {Swagatam Mukhopadhyay and Pascal Grange and Anirvan M. Sengupta and Partha P. Mitra},
  journal= {arXiv preprint arXiv:1206.0324},
  year   = {2012}
}

Comments

14 pages

R2 v1 2026-06-21T21:13:18.606Z