Bibliographic Details
| Title: |
Comparative Genomics of Tissue Specific Gene Expression. |
| Authors: |
Jun Ma, Jegga, Anil G., Sue Kong, Jianhua Zhang, Moseley, Amy, Gupta, Ashima, Williams, Sarah S., Genter, Mary Beth, Aronow, Bruce J. |
| Source: |
Gene Expression & Regulation; 2006, p393-408, 16p |
| Abstract: |
Specification and specialization of cell and tissue structure and function is the result of the informational content and transcriptional programming of the entire genome. Because of this, whole genome/whole organism expression profiling has the potential to reveal tremendous amounts of information about the genome, specific cell types and tissues, and the evolution biological systems. Systems evolution can be studied by identifying and correlating conserved and diverged gene expression patterns of homologous and non-homologous cells and tissues, the functions of these implicated genes, and the corresponding genomic sequences and gene structural features that are conserved or diverged between multiple species' genomes. The combination of these approaches represents comparative transcriptomics or "orthologenomics", which has as its general hypothesis that improved understanding of any particular biological system can be derived through multispecies comparative analyses of genomes, transcriptionally active genes, and corresponding gene features. In this chapter we have sought to illustrate a test of this hypothesis using genes over-expressed in the central nervous system (CNS) tissues of humans and mice. The exercise lends strong support to the conjecture that these types of approaches will provide powerful new insights into specific systems that determine the health and disease of complex organisms. [ABSTRACT FROM AUTHOR] |
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| Database: |
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