Diabetes mellitus poses a major global health challenge, characterized by insulin resistance and impaired glucose homeostasis1. A comprehensive understanding of insulin signaling pathways is crucial for elucidating the pathophysiology of this disease, as insulin plays a pivotal role in glucose metabolism, cell growth, and survival2. Numerous studies have demonstrated that insulin signaling significantly impacts various cancers, linking insulin resistance to tumor progression and poor patient outcomes3,4,5,6. HepG2 cells, a commonly used hepatocellular carcinoma cell line, serve as a valuable model for studying insulin resistance and the interplay between metabolic dysregulation and cancer development7. Traditionally, researchers have viewed insulin responses as graded; however, recent studies have revealed that individual cells can exhibit bistable responses, displaying salient transitions between unresponsiveness and full response occurring at specific insulin concentration thresholds8,9.
Förster resonance energy transfer (FRET) imaging is a powerful tool for studying the spatio-temporal distribution of biomolecules in living cells10. By extracting information from molecular dynamics, FRET provides insights into processes such as Akt activation in real time, making it an invaluable technique for studying living cells11,12. This imaging method has proven essential in studying cellular dynamics, particularly in metabolic diseases and cancer, where precise molecular interactions are crucial13. FRET also enables real-time monitoring of molecular interactions, shedding light on mechanisms such as insulin resistance and tumor progression14,15. FRET biosensors are crucial in cancer research for studying tumor microenvironments, drug resistance, and metabolic disorders16. FRET detection methods, such as sensitized emission (SE), acceptor bleaching (AB), fluorescence lifetime imaging microscopy (FLIM), and spectroscopy, each offer distinct advantages to quantify molecular interactions17. SE measures energy transfer between donor and acceptor fluorophores, resulting in a measurable shift in emission spectra that correlates with the proximity of interacting biomolecules18. AB uses selective photobleaching of the acceptor fluorophore and tracks changes in donor fluorescence, which allows researchers to assess interaction kinetics and distances19. FLIM evaluates fluorescence decay rates of the donor fluorophore, directly influenced by FRET efficiency, to provide precise nanoscale measurements of molecular interactions20.
Using FRET techniques, we recently demonstrated bistable insulin responses in C2C12-derived myotubes8,9,21,22,23,24. The distinct switch-on and switch-off thresholds for Akt activation, as we discovered, suggest that the graded whole-body insulin dose-response belies the complexity of the subcellular signaling cascade starting from insulin stimulus, which culminates in an all-or-none response at the single-cell level21,22,23,24. To test the presence of bistability in other cell types, we stimulated HepG2 cells with insulin and recorded their response using single-cell FRET imaging. We stimulated HepG2 cells with varying insulin concentrations and monitored Akt activity at the single-cell level using an Akt biosensor. The Akt biosensor comprises enhanced cyan fluorescent protein (ECFP)25 as the donor fluorophore and the brightest variant of yellow fluorescent protein (YPet)26 as the acceptor fluorophore, linked by an Eevee linker containing the peptide sequence SGRPRTTTFADSCKP. This peptide acts as a substrate for phosphorylated Akt (pAkt), optimized from human glycogen synthase kinase 3β (GSK3β). In its unphosphorylated state, the spatial separation between the donor and acceptor fluorophores exceeds the Förster radius, which inhibits energy transfer. Upon insulin stimulation, Akt phosphorylation occurs and leads to the phosphorylation of SGRPRTTTFADSCKP. This process induces a conformational change that brings the donor and acceptor within the Förster radius, enabling FRET27. As a result, the FRET signal intensity correlates with the amount of phosphorylated Akt molecules and allows real-time quantification of insulin-mediated cellular responses.
This protocol, initially developed to study insulin signaling in C2C12-derived myotubes, has been successfully applied to HepG2 cells and utilized across different hardware and software platforms, thus demonstrating its applicability, adaptability, and versatility. HepG2 cells exhibit constitutive Akt activity, which makes them an ideal in vitro model to study liver-specific insulin signaling and metabolic processes. The key features of the protocol are described step-by-step in the protocol section.