Equipment Supplement: Spatial Photoproximity Profiling of Dynamic Protein Complexes

NIH RePORTER · NIH · R01 · $205,848 · view on reporter.nih.gov ↗

Abstract

Project Summary The ability to sense dynamic changes in the cellular microenvironment and translate that information into rewired biomolecular interactions forms the backbone of cellular signal transduction. Despite significant interest and investment in methods capable of detecting and quantifying protein-protein and other protein-biomolecule interactions, the most commonly employed methods solely map interaction in non-physiologic environments outside of cells where many important factors contributing to the interactions under study are lost. These methods are particularly poorly suited to study signaling events in cells that rely on the cellular architecture and chemical environment in order to form and function. Therefore, new methods are needed to quantitatively map protein “social networks” inside of living systems. Here we propose to develop and validate several complementary light- dependent proximity profiling platforms capable of detecting protein interaction dynamics in live cells with high spatial and temporal resolution, as well as minimal perturbation to the cellular environment. We will accomplish this goal through three interconnected aims that are supported by preliminary data and our previously published work with an intracellular photoproximity profiling platform. First, we will synthesize and test tunable photoproximity chemical probes to map protein complexes at nanometer scale inside of cells. In parallel, we propose to test potentially more efficient catalytic photoproximity profiling platforms for increased resolution of low abundance macromolecular complexes inside of cells. Finally, we propose to apply these platforms to study the dynamic sensing of altered metabolic and redox stress inside cells through the integrated antioxidant and unfolded protein response pathways. These proximity profiles will enable drafting of the first quantitative, comprehensive maps of the integrated stress response in cells, which will identify points of intervention for diseases such as cancer, aging, and neurodegenerative disorders. Furthermore, the methods and proximity profiles developed herein will also be widely useful to the biological community for application to diverse questions in intracellular signal transduction.

Key facts

NIH application ID
11037193
Project number
3R01GM145852-02S1
Recipient
UNIVERSITY OF CHICAGO
Principal Investigator
Raymond E Moellering
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$205,848
Award type
3
Project period
2022-09-21 → 2026-08-31