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2019
Journal Article
Titel
Flow cytometry-based FRET identifies binding intensities in PPARg1 protein-protein interactions in living cells
Abstract
PPARg is a pharmacological target in inflammatory and metabolic diseases. Upon agonistic treatment or following antagonism, binding of co-factors is altered, which consequently affects PPARg-dependent transactivation as well as its DNA-independent properties. Therefore, establishing techniques to characterize these interactions is an important issue in living cells. Methods: Using the FRET pair Clover/mRuby2, we set up a flow cytometry-based FRET assay by analyzing PPARg1 binding to its heterodimerization partner RXRa. Analyses of PPARg-reporter and co-localization studies by laser-scanning microscopy validated this system. Refining the system, we created a new readout to distinguish strong from weak interactions, focusing on PPARg-binding to the co-repressor N-CoR2. Results: We observed high FRET in cells expressing Clover-PPARg1 and mRuby2-RXRa, but no FRET when cells express a mRuby2-RXRa deletion mutant, lacking the PPARg interaction domain. Focusing on the co-repressor N-CoR2, we identified in HEK293T cells the new splice variant N-CoR2-DID1-exon. Overexpressing this isoform tagged with mRuby2, revealed no binding to Clover-PPARg1, nor in murine J774A.1 macrophages. In HEK293T cells, binding was even lower in comparison to N-CoR2 constructs in which domains established to mediate interaction with PPARg binding are deleted. These data suggest a possible role of N-CoR2-DID1-exon as a dominant negative variant. Because binding to N-CoR2-mRuby2 was not altered following activation or antagonism of Clover-PPARg1, we determined the effect of pharmacological treatment on FRET intensity. Therefore, we calculated flow cytometry-based FRET efficiencies based on our flow cytometry data. As with PPARg antagonism, PPARg agonist treatment did not prevent binding of N-CoR2. Conclusion: Our system allows the close determination of protein-protein interactions with a special focus on binding intensity, allowing this system to characterize the role of protein domains as well as the effect of pharmacological agents on protein-protein interactions.