ABSTRACT
Increasing evidence has demonstrated that the dynamical behaviors of kinase signaling, i.e., kinetic patterns of
activation/deactivation process, can dictate the cells' responses to different perturbations. Understanding such
dynamics can help to predict cell fates, such as live/dead outcomes of drug treatments. However, this task
requires resolving single-cell kinase signaling dynamics in the context of cellular phenotypes, which is
technologically challenging. Although genetically encoded reporting systems can address some of the needs, its
implementation is restricted to easily transfectable cell lines, thereby limiting its translational impacts. To
overcome those challenges, our group has developed a chemical method for studying kinase signaling activities
in living single cells, using cyclic peptide-based imaging probes. In this MIRA proposal, we seek to expand the
chemical toolkit to include multicyclic peptide-based affinity tags and develop a repertoire of highly specific
imaging probes (Project 1a). We will also explore chemical strategies to devise a universal probe delivery tag
(Project 1b). By combining these tools with other well-established single-cell technologies and multivariate
analysis methods, we plan to address two outstanding biological questions: How do the unique kinetic features
of protein kinase signaling activities link to phenotypical heterogeneity (Project 2)? How does diverse kinase
signaling dynamics orchestrate cellular responses to external perturbations, such as live/dead outcomes of
targeted kinase inhibitors (Project 3)? To answer those questions, we performed preliminary studies focusing on
AKT signaling using a human glioblastoma cell line. We found that inhibiting AKT or its upstream signaling protein
(EGFR) can both significantly change the kinetic features of AKT signaling. We also demonstrated that a neural
network algorithm could predict whether a cell can survive AKT inhibition, using the kinetic patterns of AKT
signaling profile as the input. Based on our data, we propose two hypotheses: First, the pattern of kinase
signaling kinetics is shaped by the abundance and activities of upstream signaling proteins. Second, early
responses in kinase signaling govern therapeutic outcomes of targeted kinase inhibitors. In projects 2&3, we will
test those hypotheses by studying kinase signaling dynamics in a panel of cell lines, with and without external
perturbations. We will initiate the studies with a focus on AKT signaling, and as new imaging probes from Project
1 become available, we will expand our work to include other signaling modules. Successful execution of the
proposed research will provide a suite of novel chemical probes and enabling technologies for interrogating
kinase signaling dynamics at single-cell resolution. It will also generate insights into how such dynamics connects
to phenotypical heterogeneity and governs specific cellular responses.