Literature DB >> 19293156

Determination of in vivo dissociation constant, KD, of Cdc42-effector complexes in live mammalian cells using single wavelength fluorescence cross-correlation spectroscopy.

Thankiah Sudhaharan1, Ping Liu, Yong Hwee Foo, Wenyu Bu, Kim Buay Lim, Thorsten Wohland, Sohail Ahmed.   

Abstract

The RhoGTPase Cdc42 coordinates cell morphogenesis, cell cycle, and cell polarity decisions downstream of membrane-bound receptors through distinct effector pathways. Cdc42-effector protein interactions represent important elements of cell signaling pathways that regulate cell biology in systems as diverse as yeast and humans. To derive mechanistic insights into cell signaling pathways, it is vital that we generate quantitative data from in vivo systems. We need to be able to measure parameters such as protein concentrations, rates of diffusion, and dissociation constants (K(D)) of protein-protein interactions in vivo. Here we show how single wavelength fluorescence cross-correlation spectroscopy in combination with Förster resonance energy transfer analysis can be used to determine K(D) of Cdc42-effector interactions in live mammalian cells. Constructs encoding green fluorescent protein or monomeric red fluorescent protein fusion proteins of Cdc42, an effector domain (CRIB), and two effectors, neural Wiskott-Aldrich syndrome protein (N-WASP) and insulin receptor substrate protein (IRSp53), were expressed as pairs in Chinese hamster ovary cells, and concentrations of free protein as well as complexed protein were determined. The measured K(D) for Cdc42V12-N-WASP, Cdc42V12-CRIB, and Cdc42V12-IRSp53 was 27, 250, and 391 nm, respectively. The determination of K(D) for Cdc42-effector interactions opens the way to describe cell signaling pathways quantitatively in vivo in mammalian cells.

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Year:  2009        PMID: 19293156      PMCID: PMC2679461          DOI: 10.1074/jbc.M900894200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  27 in total

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5.  Fluorescence correlation spectroscopy. II. An experimental realization.

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6.  Green fluorescent protein as a marker for gene expression.

Authors:  M Chalfie; Y Tu; G Euskirchen; W W Ward; D C Prasher
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Journal:  J Biol Chem       Date:  2004-11-09       Impact factor: 5.157

8.  Mapping dynamic protein interactions in MAP kinase signaling using live-cell fluorescence fluctuation spectroscopy and imaging.

Authors:  Brian D Slaughter; Joel W Schwartz; Rong Li
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  29 in total

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6.  Quantitative in vivo fluorescence cross-correlation analyses highlight the importance of competitive effects in the regulation of protein-protein interactions.

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7.  Rif-mDia1 interaction is involved in filopodium formation independent of Cdc42 and Rac effectors.

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8.  Nanoscopy of cell architecture: The actin-membrane interface.

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9.  Influence of FRET and fluorescent protein maturation on the quantification of binding affinity with dual-channel fluorescence cross-correlation spectroscopy.

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Review 10.  Macromolecular Crowding In Vitro, In Vivo, and In Between.

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