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  High-Sensitivity Detection and Quantitative Analysis of Native Protein-Protein Interactions and Multiprotein Complexes by Flow-Cytometry

Schrum, A. G., Gil, D., Dopfer, E. P., Wiest, D. L., Turka, L. A., Schamel, W. W. W., et al. (2007). High-Sensitivity Detection and Quantitative Analysis of Native Protein-Protein Interactions and Multiprotein Complexes by Flow-Cytometry. Science STKE, 389, 1-12.

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 Creators:
Schrum, Adam G, Author
Gil, Diana, Author
Dopfer, Elaine P.1, Author           
Wiest, David L., Author
Turka, Laurence A., Author
Schamel, Wolfgang W. W.1, Author           
Palmer, Ed, Author
Affiliations:
1Research Group and Chair of Molecular Immunology of the University of Freiburg, Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_2243645              

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 Abstract: Most mechanisms of cell development, physiology, and signal transduction are controlled by protein-protein interactions. Immunoprecipitation of multiprotein complexes detected by flow cytometry (IP-FCM) is a means to quantitatively measure these interactions. The high sensitivity of this method makes it useful even when very little biomaterial is available for analysis, as in the case of rare primary cell subsets or patient samples. Detection of the T cell antigen receptor associated with the CD3 multiprotein complex from as few as 300 primary murine T cells is presented as an example. The method is compatible with quantitative flow cytometry techniques, making it possible to estimate the number of coimmunoprecipitated molecules. Both constitutive and inducible protein-protein interactions can be analyzed, as illustrated in related methodology using glutathione S-transferase-fusion protein pull-down experiments. IP-FCM represents a robust, quantitative, biochemical technique to assess native protein-protein interactions, without requiring genetic engineering or large sample sizes.

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Language(s): eng - English
 Dates: 2007
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 331275
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Title: Science STKE
Source Genre: Journal
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Pages: - Volume / Issue: 389 Sequence Number: - Start / End Page: 1 - 12 Identifier: -