| Literature DB >> 24706869 |
Pascal Grange1, Jason W Bohland, Benjamin W Okaty, Ken Sugino, Hemant Bokil, Sacha B Nelson, Lydia Ng, Michael Hawrylycz, Partha P Mitra.
Abstract
Spatial patterns of gene expression in the vertebrate brain are not independent, as pairs of genes can exhibit complex patterns of coexpression. Two genes may be similarly expressed in one region, but differentially expressed in other regions. These correlations have been studied quantitatively, particularly for the Allen Atlas of the adult mouse brain, but their biological meaning remains obscure. We propose a simple model of the coexpression patterns in terms of spatial distributions of underlying cell types and establish its plausibility using independently measured cell-type-specific transcriptomes. The model allows us to predict the spatial distribution of cell types in the mouse brain.Entities:
Keywords: bioinformatics; neuroanatomy; neuroscience
Mesh:
Year: 2014 PMID: 24706869 PMCID: PMC3986204 DOI: 10.1073/pnas.1312098111
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205