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Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein
Published on: June 30, 2019
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Evaluation of Kinase Activity Profiling Using Chemical Proteomics
Benjamin Ruprecht1,2, Jana Zecha1,3,4, Stephanie Heinzlmeir1,3,4
1Chair of Proteomics and Bioanalytics, Technische Universität München , Emil-Erlenemeyer-Forum 5, 85354 Freising, Germany.
ACS Chemical Biology
|September 18, 2015
Summary
Kinase inhibitors immobilized on beads do not reliably reflect kinase activation status. Binding affinity depends on the specific kinase, inhibitor, and cell state, cautioning against inferring activity from binding data.
Area of Science:
- Biochemistry
- Molecular Biology
- Cell Signaling
Background:
- Protein kinases are crucial intracellular signaling mediators, regulated by reversible phosphorylation.
- Immobilized kinase inhibitors are used for protein enrichment, target identification, and selectivity profiling.
- The assumption that kinase binding to affinity beads reflects activation status is debated.
Purpose of the Study:
- To investigate whether kinase binding to immobilized inhibitors correlates with kinase activation status.
- To evaluate the reliability of using affinity purification to infer kinase activity.
Main Methods:
- Quantitative phosphoproteomics was employed.
- Kinases were purified using single or mixed affinity matrices.
- Experiments were conducted on both signaling-activated and resting cancer cells.
Main Results:
- Mixed affinity beads demonstrated largely activation-independent kinase binding.
- Individual immobilized inhibitors showed variable preferences for binding active or inactive kinase conformations.
- Kinase binding is influenced by the specific kinase, affinity probe, and cellular activation state.
Conclusions:
- Inferring kinase activity from binding data to immobilized inhibitors requires significant caution.
- The activity or conformation-dependent binding is highly specific to the kinase-inhibitor-lysate combination.
- Assaying kinase activity via binding data is feasible only in select, well-characterized cases.

