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ID: 309216.0, MPI für molekulare Genetik / Department of Human Molecular Genetics
: A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes
Authors:Wada, Kazuhiro; Howard, Jason T.; McConnell, Patrick; Whitney, Osceola; Lints, Thierry; Rivas, Miriam V.; Horita, Haruhito; Patterson, Michael A.; White, Stephanie A.; Scharff, Constance; Haesler, Sebastian; Zhao, Shengli; Sakaguchi, Hironobu; Hagiwara, Masatoshi; Shiraki, Toshiyuki; Hirozane-Kishikawa, Tomoko; Skene, Pate; Hayashizaki, Yoshihide; Carninci, Piero; Jarvis, Erich D.
Date of Publication (YYYY-MM-DD):2006-10-10
Title of Journal:Proceedings of the National Academy of Sciences of the United States of America
Journal Abbrev.:Proc Nat Acad Sci
Issue / Number:41
Start Page:15212
End Page:15217
Copyright:© 2006 by the National Academy of Sciences
Review Status:not specified
Audience:Experts Only
Abstract / Description: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
Comment of the Author/Creator:The authors declare no conflict of interest.

Data deposition: The sequences reported in this paper have been deposited in the GenBank database (accession nos. DV570610–DV584230 for ESTs and DQ213062–DQ217370 for fully sequenced clones). The DNA microarray data reported in this paper have been deposited in the Gene Expression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GPL3621). Arrays are available through the Neuroscience Microarray Consortium (http://arrayconsortium.tgen.org).
To whom correspondence may be addressed. E-mail: wada@neuro.duke.edu or jarvis@neuro.duke.edu

[erratum appears in Proc Natl Acad Sci U S A. 2006 Nov 7;103(45):17064]
External Publication Status:published
Document Type:Article
Communicated by:Hans-Hilger Ropers
Affiliations:MPI für molekulare Genetik
External Affiliations:1.Department of Neurobiology and Duke Bioinformatics Shared Resource, Duke University Medical Center, Durham, NC 27710, USA;
2.Department of Biology, City College of New York, New York, NY 10031, USA;
3.Department of Physiological Science, University of California, Los Angeles, CA 90095, USA;
4.Department of Physiology and Biological Information, Dokkyo Medical University, Tochigi 321-0293, Japan; 5.Department of Functional Genomics, Tokyo Medical and Dental University, Tokyo 113-8519, Japan;
6.Genome Science Laboratory, RIKEN, Wako Main Campus, Saitama 351-0198, Japan;
7.Laboratory for Genome Exploration Research Group, RIKEN Yokohama Institute, Yokohama 230-0045, Japan.
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