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Real-time Live Imaging of T-cell Signaling Complex Formation
Published on: June 23, 2013
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Image-based high-throughput mapping of TGF-β-induced phosphocomplexes at a single-cell level.
Peter Lönn1, Rasel A Al-Amin2, Ehsan Manouchehri Doulabi2
1Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. peter.loenn@gmail.com.
Communications Biology
|November 13, 2021
Summary
We developed a high-throughput system for in situ proximity ligation assays (isPLA) to monitor protein interactions and modifications. This method digitally records cellular events and morphology, enabling detailed single-cell analysis for drug screening.
Area of Science:
- Cellular biology
- Biochemistry
- Molecular imaging
Background:
- Protein interactions and posttranslational modifications are crucial for cellular responses but challenging to monitor at scale.
- Existing methods lack the throughput for analyzing dynamic molecular events in individual cells.
- High-throughput analysis is needed to understand complex cellular signaling pathways.
Purpose of the Study:
- To develop and validate a semi-automated system for large-scale in situ proximity ligation assays (isPLA).
- To enable simultaneous digital recording of protein interactions, modifications, and subcellular morphology.
- To facilitate high-throughput, single-cell analysis of dynamic cellular events and drug responses.
Main Methods:
- Combined in situ proximity ligation assays (isPLA) in microtiter plates with automated microscopy and computer-based image analysis.
- Developed a system for digitally recording phosphorylations, protein complexes, DNA content, nuclear size, and cell positions.
- Applied the system to study TGF-β-responsive Smad2 signaling and screened phosphatase inhibitors.
Main Results:
- Successfully monitored Smad2 linker phosphorylations and complex formations across millions of individual cells over time.
- Correlated protein events with cell cycle progression and local cell crowding using DNA content and nuclear size.
- Demonstrated the system's utility in screening drug effects, specifically using phosphatase inhibitors.
Conclusions:
- The developed semi-automated isPLA system enables high-throughput, image-based single-cell analysis of protein dynamics.
- This approach integrates protein interaction/modification data with morphological features for comprehensive cellular insights.
- The system is suitable for drug screening and advancing the understanding of complex cellular signaling pathways.

