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Author Spotlight: Advancing Structural and Biochemical Studies of Proteins Through Thermal Shift Assays
Published on: August 9, 2024
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High-Throughput Detection of Ligand-Protein Binding Using a SplitLuc Cellular Thermal Shift Assay
Tino W Sanchez1, Ashley Owens1, Natalia J Martinez1
1National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Methods in Molecular Biology (Clifton, N.J.)
|August 25, 2021
Summary
This study introduces split Nano Luciferase (SplitLuc) CETSA, a high-throughput method for validating small molecule-protein interactions in cells. This reporter-based assay enhances cellular target engagement screening efficiency.
Area of Science:
- Biochemistry
- Cell Biology
- Pharmacology
Background:
- Validating small molecule-protein binding in cellular models is challenging.
- Traditional cellular thermal shift assay (CETSA) methods are time-consuming and low-throughput.
- Need for efficient assays to assess target engagement in a cellular context.
Purpose of the Study:
- To develop and present a high-throughput method for target engagement assays.
- To adapt the cellular thermal shift assay (CETSA) for increased screening capacity.
- To enable efficient validation of small molecule-protein interactions in a cellular environment.
Main Methods:
- Implementation of split Nano Luciferase (SplitLuc) as a reporter system.
- Adaptation of CETSA principles for a reporter-based assay.
- Development of protocols for 384- and 1536-well plate formats.
Main Results:
- SplitLuc CETSA provides a quantitative measure of target engagement.
- The assay is amenable to high-throughput screening of compounds and concentrations.
- Demonstrates a shift in protein melting profiles upon small molecule binding.
Conclusions:
- SplitLuc CETSA is a powerful tool for drug discovery and target validation.
- This reporter-based assay significantly improves the efficiency of cellular target engagement screening.
- Facilitates the transition from biochemical assays to physiologically relevant cellular models.

