Elsevier

Methods in Enzymology

Volume 640, 2020, Pages 205-223
Methods in Enzymology

Chapter Ten - Temporally gated molecular tools for tracking protein-protein interactions in live cells

https://doi.org/10.1016/bs.mie.2020.04.029Get rights and content

Abstract

Protein-protein interactions (PPIs) are essential in most biological processes. Even though many methods were designed to detect PPIs, detecting PPIs in a large volume of cells with a temporal resolution remains challenging. Recent development of light gated transcriptional reporters, such as SPARK and iTANGO, enabled detection of PPI in a large population of cells with a temporal resolution on the order of minutes. In this chapter, we discussed in detail the application of SPARK to detect PPIs between the activated β-2 adrenergic receptor (B2AR) and both Gα mimic and β-arrestin2. Because SPARK is a multi-component system, the protein expression level is critical for its optimal performance. We also discussed the detailed protocols for using SPARK with either transfection or lentiviral infection in HEK296T/17 cells.

Introduction

Protein-protein interactions (PPI) play crucial roles in most biological processes. While a lot of proteins form stable and tight protein complexes, many PPIs are highly dynamic depending on the cellular context, its post-translational modifications, or its conformational state. For example, GPCRs (G-protein coupled receptors) interact with G-proteins transiently upon agonist activation, initiating downstream signaling (Jean-Charles, Kaur, & Shenoy, 2017). Arrestin could then interact with the activated GPCR leading to receptor desensitization or other downstream signaling such as the extracellular signaling kinases 1 and 2 (ERK) signaling (Jean-Charles et al., 2017).

Given the importance of PPIs, many methods were developed to study PPIs. Co-immunoprecipitation is commonly used to study stable PPI complexes but cannot be used to study dynamic PPIs. The existing methods for detecting dynamic PPIs can be generally divided into two classes. One class of methods provides a real-time readout of the PPIs, and these include FRET (Fluorescence Resonance Energy Transfer) and BRET (Bioluminescence Resonance Energy transfer). The other class of PPI detection methods integrate the PPI signals overtime and provide a permanent mark for analysis at a later time. They include the yeast two-hybrid system, TANGO (Inagaki et al., 2012) and most split protein systems, such as split luciferases (Luker et al., 2004), split ubiquitin (Iyer et al., 2005), split GFP (Hu & Kerppola, 2003), split TEV protease (Wehr et al., 2006), split Cre recombinase (O'Brien & Delisa, 2014), split DHFR (Remy, Campbell-Valois, & Michnick, 2007) and split galactosidase (Rossi, Charlton, & Blau, 1997). Real time detection methods are powerful, because they allow the tracking of the PPI dynamics with a temporal resolution on the order of milliseconds to seconds. However, real time detection methods are technically challenging and difficult for use in high-throughput detection and screening of PPIs. Integration methods are usually easy to perform and advantageous for high-throughput screening but lose the ability to resolve PPI dynamics. Recently, a few time-gated integration methods were reported that can integrate the PPI signals in a user-defined time window on the order of minutes, such as FLARE (Wang et al., 2017), SPARK (Kim et al., 2017), iTango (Lee et al., 2017) and Cal-Light (Lee, Hyun, Jung, Hannan, & Kwon, 2017). In this way, the PPI is recorded and the signal is integrated in this specific time window, thereby maintaining the advantages of integration methods but also resolving the PPI dynamics on the order of minutes. Further, these new time-gated integration methods also improve the signal-to-noise ratio of integration methods, as they reduce the background accumulation by shortening the time window of signal integration.

SPARK and iTANGO have very similar designs. In this chapter, we will describe in detail the application of SPARK to detect protein-protein interactions with a temporal control.

Section snippets

Design of SPARK

SPARK is abbreviated for Specific Protein Association tool giving transcriptional Readout with rapid Kinetics (Kim et al., 2017). As shown in Fig. 1, SPARK is composed of three components (Kim et al., 2017): (1) a reporter construct with the reporter gene downstream of a promoter that is orthogonal for use in mammalian cells; (2) a transcription factor construct containing a transmembrane domain that is fused to one protein interaction partner of the protein interaction pair, a light sensing

Applying SPARK to detect agonist induced B2AR-Gs mimic and B2AR-arrestin interaction

GPCRs represent ~ 30% of existing drug targets (Insel et al., 2019). Many assays were developed to screen agonists or antagonists for GPCRs. Recently, there is a growing interest in designing drugs that can preferentially activate either G-protein or β-arrestin signaling pathways. B2AR is a GPCR that is activated endogenously by the neurotransmitter, epinephrine. Activation of B2AR results in Gαs coupling and cAMP production. Downstream responses of B2AR activation affects the cardiovascular and

Cellular assays by transfection

All the procedures should follow Biosafety Level 2 regulations.

  • (1)

    Always passage cells once before the transfection experiment, especially if the cells have reached confluence for more than 1 day. In this way the HEK cells are healthier.

  • (2)

    For SPARK experiments, it is best to transfect two plates of 48-well plates with the layout in Fig. 6. One plate is for stimulation in light, the other one for stimulation in dark. For testing the B2AR-Gα mimic interaction, we will follow the same procedure, but

Summary

SPARK is a useful tool for detecting PPIs. It could potentially be used to detect agonist induced β-arrestin or Gα signaling for screening biased agonists. This application is illustrated in this chapter by isoproterenol-induced B2AR activation. SPARK experiments by transfection are highly protein-concentration and time dependent, while SPARK experiments by lentiviral infection have less stringent experimental protocols. Overall, each SPARK experiment needs to be tailored for the specific PPI

Acknowledgment

This work was supported by University of Michigan.

References (20)

  • H.K. Inagaki et al.

    Visualizing neuromodulation in vivo: TANGO-mapping of dopamine signaling reveals appetite control of sugar sensing

    Cell

    (2012)
  • P.A. Insel et al.

    GPCRomics: An approach to discover GPCR drug targets

    Trends in Pharmacological Sciences

    (2019)
  • G. Guntas et al.

    Engineering an improved light-induced dimer (iLID) for controlling the localization and activity of signaling proteins

    Proceedings of the National Academy of Sciences of the United States of America

    (2015)
  • C.-D. Hu et al.

    Simultaneous visualization of multiple protein interactions in living cells using multicolor fluorescence complementation analysis

    Nature Biotechnology

    (2003)
  • K. Iyer et al.

    Utilizing the Split-ubiquitin membrane yeast two-hybrid system to identify protein-protein interactions of integral membrane proteins

    Science Signaling

    (2005)
  • P.-Y. Jean-Charles et al.

    G protein–coupled receptor signaling through β-arrestin–dependent mechanisms

    Journal of Cardiovascular Pharmacology

    (2017)
  • F. Kawano et al.

    Fluorescence imaging-based high-throughput screening of fast- and slow-cycling LOV proteins

    PLoS One

    (2013)
  • M.W. Kim et al.

    Time-gated detection of protein-protein interactions with transcriptional readout

    eLife

    (2017)
  • D. Lee et al.

    Temporally precise labeling and control of neuromodulatory circuits in the mammalian brain

    Nature Methods

    (2017)
  • D. Lee et al.

    A calcium- and light-gated switch to induce gene expression in activated neurons

    Nature Biotechnology

    (2017)
There are more references available in the full text version of this article.

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