Temporal photoproximity labeling of ligand-activated EGFR neighborhoods using MultiMap
Zhi Lin, Wayne Ngo, Yu‐Ting Chou, Harry X. Wu, Katherine J. Susa, Young‐wook Jun, Trever G. Bivona, Jennifer A. Doudna, James A. Wells
Abstract
Photoproximity labeling proteomics (PLP) methods have recently shown that cell surface receptors can form lateral interactome networks. Here, we present a paired set of PLP workflows that dynamically track neighborhood changes for oncogenic epidermal growth factor receptor (EGFR) over time, both outside and inside of cells. We achieved this by augmenting the multiscale PLP workflow we call MultiMap, where three photoprobes with different labeling ranges were photoactivated by one photocatalyst, eosin Y, anchored extracellularly and intracellularly on EGFR. We identified hundreds of neighboring proteins that changed within minutes to over 1 h after the addition of EGF. These neighborhoods reveal dynamic interactomes during early, middle and late signaling that drive phosphorylation, internalization, degradation and transcriptional regulation. This rapid 'molecular photographic' labeling approach provides snapshots of signaling neighborhoods, revealing their dynamic nature and potential for drug targeting.