An in vivo imaging-based assay for detecting protein interactions over a wide range of binding affinities

Identifying and characterizing protein interactions are fundamental steps toward understanding and modeling biological networks. Methods that detect protein interactions in intact cells rather than buffered solutions are likely more relevant to natural systems since molecular crowding events in the...

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Published in:Analytical biochemistry Vol. 395; no. 2; pp. 166 - 177
Main Authors: Edwards, A. Nicole, Fowlkes, Jason D., Owens, Elizabeth T., Standaert, Robert F., Pelletier, Dale A., Hurst, Gregory B., Doktycz, Mitchel J., Morrell-Falvey, Jennifer L.
Format: Journal Article
Language:English
Published: United States Elsevier Inc 15-12-2009
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Summary:Identifying and characterizing protein interactions are fundamental steps toward understanding and modeling biological networks. Methods that detect protein interactions in intact cells rather than buffered solutions are likely more relevant to natural systems since molecular crowding events in the cytosol can influence the diffusion and reactivity of individual proteins. One in vivo, imaging-based method relies on the colocalization of two proteins of interest fused to DivIVA, a cell division protein from Bacillus subtilis, and green fluorescent protein (GFP). We have modified this imaging-based assay to facilitate rapid cloning by constructing new vectors encoding N- and C-terminal DivIVA or GFP molecular tag fusions based on site-specific recombination technology. The sensitivity of the assay was defined using a well-characterized protein interaction system involving the eukaryotic nuclear import receptor subunit, Importin α (Impα), and variant nuclear localization signals (NLS) representing a range of binding affinities. These data demonstrate that the modified colocalization assay is sensitive enough to detect protein interactions with Kd values that span over four orders of magnitude (1nM to 15μM). Lastly, this assay was used to confirm numerous protein interactions identified from mass spectrometry-based analyses of affinity isolates as part of an interactome mapping project in Rhodopseudomonas palustris.
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content type line 23
DE-AC05-00OR22725
USDOE Office of Science (SC)
ISSN:0003-2697
1096-0309
DOI:10.1016/j.ab.2009.08.015