Related Experiment Video
Updated: Jul 7, 2026
11:13
Identification of Kinase-substrate Pairs Using High Throughput Screening
Published on: August 29, 2015
Protein kinase substrate identification on functional protein arrays
Lihao Meng1, Gregory A Michaud, Janie S Merkel
1Invitrogen Corp,, Protein Array Center, 688 East Main Street, Branford, CT 06405, USA. lihao.meng@invitrogen.com
BMC Biotechnology
|March 1, 2008
Summary
Researchers optimized protein arrays for identifying kinase substrates, a crucial step in understanding cell signaling and developing new therapeutics. This multiplex method accelerates the discovery of novel protein kinase substrates and their functions.
Area of Science:
- Biochemistry
- Molecular Biology
- Systems Biology
Background:
- Kinases are key therapeutic targets for various diseases.
- Systems biology necessitates high-throughput methods for studying protein phosphorylation.
- Functional protein arrays offer a multiplex approach for kinase substrate identification.
Purpose of the Study:
- To characterize factors influencing protein array-based kinase substrate identification.
- To optimize the protein array method for efficiency and accuracy.
- To compare protein array results with standard solution-based assays.
Main Methods:
- Utilized functional protein arrays with immobilized proteins and kinases in solution.
- Employed radioactive detection and hit identification algorithms.
- Investigated effects of time, buffer composition, and protein concentration.
- Developed and applied a pooling-deconvolution strategy.
Main Results:
- Detailed characterization of optimal conditions for protein array-based kinase substrate identification.
- Achieved over 80% correlation with standard solution-based phosphorylation assays.
- Successfully identified novel protein kinase substrates from arrays of thousands of proteins.
- Demonstrated enhanced characterization of kinase-substrate relationships and reduced reagent consumption via pooling-deconvolution.
Conclusions:
- Functional protein microarrays are a valuable tool for multiplex analysis of protein phosphorylation.
- This technology enables rapid identification of novel kinase substrates.
- Integration with systems biology approaches will advance understanding of cell signaling pathways and kinase function.
