Abstract

SummaryGenetic screening technologies to identify and validate macromolecular interactions (MMIs) essential for complex pathways remain an important unmet need for systems biology and therapeutics development. Here, we use a library of peptides from diverse prokaryal genomes to screen MMIs promoting the nuclear relocalization of Forkhead Box O3 (FOXO3a), a tumor suppressor more frequently inactivated by post-translational modification than mutation. A hit peptide engages the 14-3-3 family of signal regulators through a phosphorylation-dependent interaction, modulates FOXO3a-mediated transcription, and suppresses cancer cell growth. In a crystal structure, the hit peptide occupies the phosphopeptide-binding groove of 14-3-3ε in a conformation distinct from its natural peptide substrates. A biophysical screen identifies drug-like small molecules that displace the hit peptide from 14-3-3ε, providing starting points for structure-guided development. Our findings exemplify “protein interference,” an approach using evolutionarily diverse, natural peptides to rapidly identify, validate, and develop chemical probes against MMIs essential for complex cellular phenotypes.

Highlights

  • A complex network of macromolecular interactions (MMIs) involving proteins as well as other biological macromolecules mediate intracellular signaling

  • Cell-based phenotypic screen for nuclear FOXO3a relocalization Phenotypic screens were performed in the human osteosarcoma cell line U2OS, which recapitulates the phosphatidylinositol 3-kinase (PI3K)/AKT-mediated inactivation of FOXO3a by cystosolic sequestration (Brunet et al, 2002; Cautain et al, 2016; Link et al, 2009; Zanella et al, 2008)

  • We developed a U2OS reporter cell line that stably expresses GFP-FOXO3a to readily monitor intracellular localization of FOXO3a

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Summary

Introduction

A complex network of macromolecular interactions (MMIs) involving proteins as well as other biological macromolecules mediate intracellular signaling. There is limited information concerning their use for genetic screens in mammalian cells to interrogate phenotypes beyond simple cell viability (Nim et al, 2016; Xu et al, 2001). It is unclear whether libraries of biologically derived peptides may exhibit superior hit rates in complex phenotypic screens (Nim et al, 2016; Watt, 2006) compared with random or motifbased peptides (Xu et al, 2001). The attractive possibility that biologically derived peptides identified in such screens could serve as templates to discover small-molecule inhibitors of MMIs remains to be validated empirically

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