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Updated: May 8, 2026

A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
Published on: July 3, 2013
A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms
David Trombley McSwiggen1, Helen Liu1, Ruensern Tan1
1Eikon Therapeutics Inc, Hayward, United States.
High-throughput single-molecule tracking (htSMT) enables large-scale analysis of protein dynamics in cells. This method accelerates drug discovery by rapidly identifying compounds that modulate protein function, like the estrogen receptor (ER).
Area of Science:
- Cellular biology
- Pharmacology
- Biophysics
Background:
- Cellular regulation relies on protein interactions, which influence protein motion.
- Current methods for studying protein dynamics and drug effects are limited in throughput.
- Super-resolution imaging studies typically analyze limited numbers of cells and conditions.
Purpose of the Study:
- To develop a high-throughput single-molecule tracking (htSMT) platform for large-scale pharmacologic analysis of protein dynamics.
- To apply htSMT to study the estrogen receptor (ER) and identify small molecules perturbing its function.
- To enable real-time determination of drug potency, selectivity, target engagement, and mechanism of action.
Main Methods:
- Development of a high-throughput single-molecule tracking (htSMT) platform capable of imaging over 10^6 cells/day and screening over 10^4 compounds.
- Application of htSMT to measure cellular dynamics of fluorescently tagged estrogen receptor (ER).
- Screening of a diverse compound library to identify modulators of ER function.
Main Results:
- htSMT enabled the determination of potency, pathway selectivity, target engagement, and mechanism of action for identified compounds.
- Kinetic htSMT distinguished between on-target and on-pathway modulators of ER signaling.
- Pathway analysis identified known ER interactors and suggested novel kinase-mediated regulatory mechanisms.
- htSMT revealed a correlation between ER dynamics and the efficacy of ER antagonists in suppressing cancer cell growth.
Conclusions:
- Measuring protein motion at scale using htSMT is a powerful approach for dissecting dynamic protein interactions.
- This method facilitates the identification and characterization of novel therapeutics.
- htSMT offers unprecedented scale for pharmacologic dissection of protein dynamics in living cells.
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