期刊
ISCIENCE
卷 24, 期 1, 页码 -出版社
CELL PRESS
DOI: 10.1016/j.isci.2020.101898
关键词
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资金
- Interdisciplinary Centre of Clinical Research (IZKF Wurzburg), Grant IZKF [A-419]
- Faculty of Medicine, University of Wurzburg of the Graduate School of Life Sciences
Protein-protein interactions are crucial for understanding physiology and pathology, with short linear motifs playing a key role. Current approaches for determining protein-peptide affinity have limitations, but the TRIC method presents a high-throughput way to analyze these interactions in solution. TRIC allows for the identification and mapping of protein interaction sites with varying affinities, providing a label-free method for determining binding affinities of unmodified peptide libraries.
Protein-protein interactions (PPIs) are of fundamental importance for our understanding of physiology and pathology. PPIs involving short, linear motifs play a major role in immunological recognition, signaling, and regulation and provide attractive starting points for pharmaceutical intervention. Yet, state-of-the-art protein-peptide affinity determination approaches exhibit limited throughput and sensitivity, often resulting from ligand immobilization, labeling, or synthesis. Here, we introduce a high-throughput method for in-solution analysis of protein-peptide interactions using a phenomenon called temperature related intensity change (TRIC). We use TRIC for the identification and fine-mapping of low- and high-affinity protein interaction sites and the definition of sequence binding requirements. Validation is achieved by microarray-based studies using wild-type and mutated recombinant protein and the native protein within tissue lysates. On-chip neutralization and strong correlation with structural data establish TRIC as a quasi-label-free method to determine binding affinities of unmodified peptide libraries with large dynamic range.
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