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Updated: May 29, 2026

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An Optimized Single-Molecule Pull-Down Assay for Quantification of Protein Phosphorylation
Published on: June 6, 2022
Quantitative analysis of phosphoproteins using microspot immunoassays
Frauke Henjes1, Frank Götschel, Anika Jöcker
1Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|September 9, 2011
Summary
This study introduces a microspot immunoassay for profiling phosphorylated proteins, crucial for understanding cellular regulation. This method enables quantitative, time-resolved measurements of protein activity, advancing research in health and disease.
Area of Science:
- Biochemistry and Molecular Biology
- Cellular Signaling
- Proteomics
Background:
- Cellular functions rely on dynamic protein states, particularly post-translational modifications like phosphorylation.
- Understanding complex biological processes necessitates quantitative, time-resolved measurements of protein activity.
- Existing methods may not adequately capture the dynamic nature of protein regulation.
Purpose of the Study:
- To develop and present a novel assay platform for parallel profiling of phosphorylated proteins.
- To enable quantitative and time-resolved measurements from small sample volumes.
- To facilitate a deeper understanding of cellular regulatory networks in health and disease.
Main Methods:
- Development of a microspot immunoassay technique.
- Application of the assay for parallel determination of multiple phosphorylated proteins.
- Utilizes small sample amounts for analysis.
Main Results:
- The microspot immunoassay allows for exact determination of several different phosphorylated proteins simultaneously.
- The assay is effective with small sample volumes.
- The technique provides a robust and standardized method for proteome profiling.
Conclusions:
- The described microspot immunoassay is a suitable system for investigating phosphorylation-mediated cellular regulation.
- This platform can significantly deepen the understanding of complex regulatory networks.
- The findings have implications for research in both health and disease states.

