Study of gene function based on spatial co-expression in a high-resolution mouse brain atlas |
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| Authors: | Zheng Liu S Frank Yan John R Walker Theresa A Zwingman Tao Jiang Jing Li Yingyao Zhou |
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| Institution: | (1) Department of Computer Science, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA;(2) Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, CA 92121, USA;(3) Allen Institute for Brain Science, 551 N 34th Street, Suite 200, Seattle, WA 98103, USA;(4) Electrical Engineering and Computer Science Department, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA |
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| Abstract: | Background The Allen Brain Atlas (ABA) project systematically profiles three-dimensional high-resolution gene expression in postnatal
mouse brains for thousands of genes. By unveiling gene behaviors at both the cellular and molecular levels, ABA is becoming
a unique and comprehensive neuroscience data source for decoding enigmatic biological processes in the brain. Given the unprecedented
volume and complexity of the in situ hybridization image data, data mining in this area is extremely challenging. Currently, the ABA database mainly serves as
an online reference for visual inspection of individual genes; the underlying rich information of this large data set is yet
to be explored by novel computational tools. In this proof-of-concept study, we studied the hypothesis that genes sharing
similar three-dimensional expression profiles in the mouse brain are likely to share similar biological functions. |
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