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  Development and application of a DNA microarray-based yeast two-hybrid system

Suter, B., Fontaine, J. F., Yildirimman, R., Rasko, T., Schaefer, M. H., Rasche, A., et al. (2013). Development and application of a DNA microarray-based yeast two-hybrid system. Nucleic Acids Research (London), 41(3), 1496-1507. doi:10.1093/nar/gks1329.

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2012
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© The Author(s) 2012. Published by Oxford University Press

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Suter, B., Author
Fontaine, J. F., Author
Yildirimman, R.1, Author           
Rasko, T., Author
Schaefer, M. H., Author
Rasche, A.1, Author           
Porras, P., Author
Vazquez-Alvarez, B. M., Author
Russ, J., Author
Rau, K., Author
Foulle, R., Author
Zenkner, M., Author
Saar, K., Author
Herwig, R.1, Author           
Andrade-Navarro, M. A., Author
Wanker, E. E., Author
Affiliations:
1Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              

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 Abstract: The yeast two-hybrid (Y2H) system is the most widely applied methodology for systematic protein-protein interaction (PPI) screening and the generation of comprehensive interaction networks. We developed a novel Y2H interaction screening procedure using DNA microarrays for high-throughput quantitative PPI detection. Applying a global pooling and selection scheme to a large collection of human open reading frames, proof-of-principle Y2H interaction screens were performed for the human neurodegenerative disease proteins huntingtin and ataxin-1. Using systematic controls for unspecific Y2H results and quantitative benchmarking, we identified and scored a large number of known and novel partner proteins for both huntingtin and ataxin-1. Moreover, we show that this parallelized screening procedure and the global inspection of Y2H interaction data are uniquely suited to define specific PPI patterns and their alteration by disease-causing mutations in huntingtin and ataxin-1. This approach takes advantage of the specificity and flexibility of DNA microarrays and of the existence of solid-related statistical methods for the analysis of DNA microarray data, and allows a quantitative approach toward interaction screens in human and in model organisms.

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Language(s): eng - English
 Dates: 2012-09-142012-11-212012-12-282013-02-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/nar/gks1329
 Degree: -

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Title: Nucleic Acids Research (London)
  Other : Nucleic Acids Res
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: 11 Volume / Issue: 41 (3) Sequence Number: - Start / End Page: 1496 - 1507 Identifier: ISSN: 0305-1048
CoNE: https://pure.mpg.de/cone/journals/resource/110992357379342