Abstract

SummaryProtein-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.

Highlights

  • All cellular processes involve protein-protein interactions (PPIs)

  • Protein-protein interactions (PPIs) involving short, linear motifs play a major role in immunological recognition, signaling, and regulation and provide attractive starting points for pharmaceutical intervention

  • Validation is achieved by microarray-based studies using wild-type and mutated recombinant protein and the native protein within tissue lysates

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Summary

Introduction

A significant fraction of PPIs is dependent on short linear peptides, which are increasingly recognized for their roles in signaling and regulatory networks (Pawson and Nash, 2003) and antibody/antigen recognition (Brennan et al, 2010). Label-free, in-solution affinity determination using ITC, highly precise, does not allow for exhaustive screenings of large ligand libraries due to the limited sensitivity of calorimetric measurements and the resulting high sample consumption and limited throughput. Fluorescent readouts, such as MST and FP, are increasingly employed due to their largely reduced protein requirement, improving assay setup and high predictive value (Jerabek-Willemsen et al, 2011).

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