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  : A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes

Wada, K., Howard, J. T., McConnell, P., Whitney, O., Lints, T., Rivas, M. V., et al. (2006).: A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes. Proceedings of the National Academy of Sciences of the United States of America, 103(41), 15212-15217. doi:10.1073/pnas.0607098103.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-837D-C Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-837E-A
Genre: Journal Article
Alternative Title : Proc Nat Acad Sci

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 Creators:
Wada, Kazuhiro, Author
Howard, Jason T., Author
McConnell, Patrick, Author
Whitney, Osceola, Author
Lints, Thierry, Author
Rivas, Miriam V., Author
Horita, Haruhito, Author
Patterson, Michael A., Author
White, Stephanie A., Author
Scharff, Constance1, Author              
Haesler, Sebastian1, Author              
Zhao, Shengli, Author
Sakaguchi, Hironobu, Author
Hagiwara, Masatoshi, Author
Shiraki, Toshiyuki, Author
Hirozane-Kishikawa, Tomoko, Author
Skene, Pate, Author
Hayashizaki, Yoshihide, Author
Carninci, Piero, Author
Jarvis, Erich D., Author
Affiliations:
1Dept. of Human Molecular Genetics (Head: Hans-Hilger Ropers), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433549              

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 Abstract: Songbirds have one of the most accessible neural systems for the study of brain mechanisms of behavior. However, neuroethological studies in songbirds have been limited by the lack of high-throughput molecular resources and gene-manipulation tools. To overcome these limitations, we constructed 21 regular, normalized, and subtracted full-length cDNA libraries from brains of zebra finches in 57 developmental and behavioral conditions in an attempt to clone as much of the brain transcriptome as possible. From these libraries, {approx}14,000 transcripts were isolated, representing an estimated 4,738 genes. With the cDNAs, we created a hierarchically organized transcriptome database and a large-scale songbird brain cDNA microarray. We used the arrays to reveal a set of 33 genes that are regulated in forebrain vocal nuclei by singing behavior. These genes clustered into four anatomical and six temporal expression patterns. Their functions spanned a large range of cellular and molecular categories, from signal transduction, trafficking, and structural, to synaptically released molecules. With the full-length cDNAs and a lentiviral vector system, we were able to overexpress, in vocal nuclei, proteins of representative singing-regulated genes in the absence of singing. This publicly accessible resource http://songbirdtranscriptome.net can now be used to study molecular neuroethological mechanisms of behavior

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Language(s): eng - English
 Dates: 2006-10-10
 Publication Status: Published in print
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 Identifiers: eDoc: 309216
DOI: 10.1073/pnas.0607098103
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Alternative Title : Proc Nat Acad Sci
Source Genre: Journal
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Pages: - Volume / Issue: 103 (41) Sequence Number: - Start / End Page: 15212 - 15217 Identifier: ISSN: 1091-6490