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Article
Nature Genetics  30, 385 - 393 (2002)
Published online: 25 March 2002; | doi:10.1038/ng861

Genetic analysis of the mouse brain proteome

Joachim Klose1, Christina Nock1, 2, 3, Marion Herrmann1, Kai Stühler4, Katrin Marcus4, Martin Blüggel5, Eberhard Krause6, Leonard C. Schalkwyk7, Sohaila Rastan8, Steve D.M. Brown9, Konrad Büssow3, Heinz Himmelbauer3 & Hans Lehrach3

1  Institut für Humangenetik, Humboldt-Universität zu Berlin, Charité, Campus Virchow-Klinikum, Augustenburger Platz 1, D-13353 Berlin, Germany.

2  Fachbereich Biologie, Chemie, Pharmazie, Freie Universität Berlin, D-14195 Berlin, Germany.

3  Max-Planck-Institut für Molekulare Genetik, Ihnestrasse 73, D-14195 Berlin, Germany.

4  Institut für Physiologische Chemie, Ruhr-Universität Bochum, D-44780 Bochum, Germany.

5  Protagen AG, D-44801 Bochum, Germany.

6  Institut für Molekulare Pharmakologie, D-13125 Berlin, Germany.

7  SGDP Research Centre, Institute of Psychiatry, London SE5 8AF, UK.

8  MWB Business Exchange Suite 112/113 Wellington House, Cambridge CB1 1BH, UK.

9  MRC Mammalian Genetics Unit and UK Mouse Genome Centre, Harwell, Oxford OX11 ORD, UK.

Correspondence should be addressed to Joachim Klose joachim.klose@charite.de or Heinz Himmelbauer himmelbauer@molgen.mpg.de
Proteome analysis is a fundamental step in systematic functional genomics. Here we have resolved 8,767 proteins from the mouse brain proteome by large-gel two-dimensional electrophoresis. We detected 1,324 polymorphic proteins from the European collaborative interspecific backcross. Of these, we mapped 665 proteins genetically and identified 466 proteins by mass spectrometry. Qualitatively polymorphic proteins, to 96%, reflect changes in conformation and/or mass. Quantitatively polymorphic proteins show a high frequency (73%) of allele-specific transmission in codominant heterozygotes. Variations in protein isoforms and protein quantity often mapped to chromosomal positions different from that of the structural gene, indicating that single proteins may act as polygenic traits. Genetic analysis of proteomes may detect the types of polymorphism that are most relevant in disease-association studies.

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Nature Genetics
ISSN: 1061-4036
EISSN: 1546-1718
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