Grange, P., Bohland, J. W., Okaty, B. W., Sugino, K., Bokil, H., Nelson, S. B., Ng, L., Hawrylycz, M., Mitra, P. P. (April 2014) Cell-type-based model explaining coexpression patterns of genes in the brain. Proceedings of the National Academy of Sciences of the United States of America, 111 (14). pp. 5397-5402. ISSN 0027-8424
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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-typespecific transcriptomes. The model allows us to predict the spatial distribution of cell types in the mouse brain.
| Item Type: | Paper |
|---|---|
| Uncontrolled Keywords: | neuroscience bioinformatics neuroanatomy TRANSLATIONAL PROFILING APPROACH MOUSE-BRAIN MICROARRAY DATA EXPRESSION ATLAS TRANSCRIPTOME NEURONS GENOME INTERNEURONS |
| Subjects: | bioinformatics organs, tissues, organelles, cell types and functions > organs types and functions > brain bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function neurobiology |
| CSHL Authors: | |
| Communities: | CSHL labs > Mitra lab |
| Depositing User: | Matt Covey |
| Date: | 8 April 2014 |
| Date Deposited: | 04 Feb 2015 17:19 |
| Last Modified: | 20 Dec 2017 21:25 |
| PMCID: | PMC3986204 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/31176 |
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