A comparative analysis of transcribed genes in the mouse hypothalamus and neocortex reveals chromosomal clustering
- Wee-Ming Boon*,
- Tim Beissbarth†,
- Lavinia Hyde†,
- Gordon Smyth†,
- Jenny Gunnersen*,
- Derek A. Denton*,‡,
- Hamish Scott†, and
- Seong-Seng Tan*
- *Howard Florey Institute, University of Melbourne, Parkville 3052, Australia; and †Genetics and Bioinfomatics Division, Walter and Eliza Hall Institute of Medical Research, Royal Parade, Parkville 3050, Australia
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Contributed by Derek A. Denton, August 26, 2004
Abstract
The hypothalamus and neocortex are subdivisions of the mammalian forebrain, and yet, they have vastly different evolutionary histories, cytoarchitecture, and biological functions. In an attempt to define these attributes in terms of their genetic activity, we have compared their genetic repertoires by using the Serial Analysis of Gene Expression database. From a comparison of 78,784 hypothalamus tags with 125,296 neocortical tags, we demonstrate that each structure possesses a different transcriptional profile in terms of gene ontological characteristics and expression levels. Despite its more recent evolutionary history, the neocortex has a more complex pattern of gene activity. Gene identities and levels of gene expression were mapped to their chromosomal positions by using in silico definition of GC-rich and GC-poor genome bands. This analysis shows contrasting views of gene activity on a genome scale that is unique to each brain substructure. We show that genes that are more highly expressed in one tissue tend to be clustered together on a chromosomal scale, further defining the genetic identity of either the hypothalamus or neocortex. We propose that physical proximity of coregulated genes may facilitate transcriptional access to the genetic substrates of evolutionary selection that ultimately shape the functional subdivisions of the mammalian brain.
Footnotes
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↵ ‡ To whom correspondence should be addressed at: Howard Florey Institute, Corner Royal Parade and Grattan Street, University of Melbourne, Parkville 3010, Australia. E-mail: d.denton{at}hfi.unimelb.edu.au.
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Author contributions: W.-M.B., T.B., D.A.D., H.S., and S.-S.T. designed research; W.-M.B. and T.B. performed research; W.-M.B., T.B., L.H., G.S., and H.S. analyzed data; W.-M.B., T.B., and S.-S.T. wrote the paper; J.G. provided technical expertise with the SAGE technique; D.A.D., H.S., and S.-S.T. funded research; and research was conducted in S.-S.T.'s laboratory.
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Abbreviations: SAGE, serial analysis of gene expression; qRT-PCR, quantitative real-time PCR; RefSeq; Reference Sequence; GO, Gene Ontology.
- Copyright © 2004, The National Academy of Sciences





