Cell-type-based model explaining coexpression patterns of genes in the brain

被引:46
作者
Grange, Pascal [1 ]
Bohland, Jason W. [2 ]
Okaty, Benjamin W. [3 ]
Sugino, Ken [4 ]
Bokil, Hemant [5 ]
Nelson, Sacha B. [6 ,7 ]
Ng, Lydia [8 ]
Hawrylycz, Michael [8 ]
Mitra, Partha P. [9 ]
机构
[1] Xian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Peoples R China
[2] Boston Univ, Coll Hlth & Rehabil Sci, Boston, MA 02215 USA
[3] Harvard Univ, Sch Med, Dept Genet, Boston, MA 02215 USA
[4] Howard Hughes Med Inst, Ashburn, VA 20147 USA
[5] Boston Sci, Valencia, CA 91355 USA
[6] Brandeis Univ, Dept Biol, Waltham, MA 02254 USA
[7] Brandeis Univ, Ctr Behav Genom, Waltham, MA USA
[8] Allen Inst Brain Sci, Seattle, WA 98103 USA
[9] Cold Spring Harbor Lab, Cold Spring Harbor, NY 11724 USA
基金
美国国家卫生研究院;
关键词
neuroscience; bioinformatics; neuroanatomy; TRANSLATIONAL PROFILING APPROACH; ADULT-MOUSE; EXPRESSION; ATLAS; NEURONS; GENOME;
D O I
10.1073/pnas.1312098111
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:5397 / 5402
页数:6
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