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.
%0 Journal Article
%1 schulte2021highthroughput
%A Schulte, Clemens
%A Khayenko, Vladimir
%A Nordblom, Noah Frieder
%A Tippel, Franziska
%A Peck, Violetta
%A Gupta, Amit Jean
%A Maric, Hans Michael
%D 2021
%J iScience
%K maric
%N 1
%P 101898--
%R https://doi.org/10.1016/j.isci.2020.101898
%T High-throughput determination of protein affinities using unmodified peptide libraries in nanomolar scale
%U https://www.sciencedirect.com/science/article/pii/S2589004220310956
%V 24
%X 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.
@article{schulte2021highthroughput,
abstract = {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.},
added-at = {2021-04-07T09:23:02.000+0200},
author = {Schulte, Clemens and Khayenko, Vladimir and Nordblom, Noah Frieder and Tippel, Franziska and Peck, Violetta and Gupta, Amit Jean and Maric, Hans Michael},
biburl = {https://www.bibsonomy.org/bibtex/2d011c9461aa23af77bb7a0754730e7d5/reichert},
doi = {https://doi.org/10.1016/j.isci.2020.101898},
interhash = {9b329b851697a7546b7ee7b386f5b0ae},
intrahash = {d011c9461aa23af77bb7a0754730e7d5},
issn = {25890042},
journal = {iScience},
keywords = {maric},
number = 1,
pages = {101898--},
timestamp = {2021-04-07T09:23:02.000+0200},
title = {High-throughput determination of protein affinities using unmodified peptide libraries in nanomolar scale},
url = {https://www.sciencedirect.com/science/article/pii/S2589004220310956},
volume = 24,
year = 2021
}