Abstract
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 (1 nM to 15 μM). 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.
Original language | English |
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Pages (from-to) | 166-177 |
Number of pages | 12 |
Journal | Analytical Biochemistry |
Volume | 395 |
Issue number | 2 |
DOIs | |
State | Published - Dec 15 2009 |
Funding
We thank Hayes McDonald for helpful discussions on this manuscript. This research was funded by the US DOE Office of Biological and Environmental Sciences Genomics: GTL program. JDF acknowledges a portion of this research was conducted at the Center for Nanophase Materials Sciences, which is sponsored at Oak Ridge National Laboratory by the Division of Scientific User Facilities, US Department of Energy. RFS acknowledges a portion of this research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy.
Keywords
- Binding affinity
- DivIVA
- E. coli
- Live cell imaging
- Protein interaction
- Rhodopseudomonas palustris