Quantitative mapping of protein-peptide affinity landscapes using spectrally encoded beads

Author:

Nguyen Huy Quoc1ORCID,Roy Jagoree2,Harink Björn1,Damle Nikhil P2,Latorraca Naomi R3,Baxter Brian C4,Brower Kara5,Longwell Scott A5,Kortemme Tanja67,Thorn Kurt S4,Cyert Martha S2ORCID,Fordyce Polly Morrell1578ORCID

Affiliation:

1. Department of Genetics, Stanford University, Stanford, United States

2. Department of Biology, Stanford University, Stanford, United States

3. Biophysics Program, Stanford University, Stanford, United States

4. Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States

5. Department of Bioengineering, Stanford University, Stanford, United States

6. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, United States

7. Chan Zuckerberg Biohub, San Francisco, United States

8. ChEM-H Institute, Stanford University, Stanford, United States

Abstract

Transient, regulated binding of globular protein domains to Short Linear Motifs (SLiMs) in disordered regions of other proteins drives cellular signaling. Mapping the energy landscapes of these interactions is essential for deciphering and perturbing signaling networks but is challenging due to their weak affinities. We present a powerful technology (MRBLE-pep) that simultaneously quantifies protein binding to a library of peptides directly synthesized on beads containing unique spectral codes. Using MRBLE-pep, we systematically probe binding of calcineurin (CN), a conserved protein phosphatase essential for the immune response and target of immunosuppressants, to the PxIxIT SLiM. We discover that flanking residues and post-translational modifications critically contribute to PxIxIT-CN affinity and identify CN-binding peptides based on multiple scaffolds with a wide range of affinities. The quantitative biophysical data provided by this approach will improve computational modeling efforts, elucidate a broad range of weak protein-SLiM interactions, and revolutionize our understanding of signaling networks.

Funder

National Institute of General Medical Sciences

Chan Zuckerberg Biohub

Alfred P. Sloan Foundation

Arnold and Mabel Beckman Foundation

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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