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

Autor: Kurt S. Thorn, Polly M. Fordyce, Naomi R. Latorraca, Scott A. Longwell, Björn Harink, Brian Baxter, Jagoree Roy, Tanja Kortemme, Nikhil P Damle, Martha S. Cyert, Kara Brower, Huy V. Nguyen
Jazyk: angličtina
Rok vydání: 2019
Předmět:
0301 basic medicine
Cell signaling
QH301-705.5
Globular protein
Science
Structural Biology and Molecular Biophysics
Chemical biology
microfluidics
Computational biology
Plasma protein binding
phophatase specificity
Binding
Competitive

General Biochemistry
Genetics and Molecular Biology

03 medical and health sciences
Biochemistry and Chemical Biology
Peptide Library
Phosphoprotein Phosphatases
Humans
Short linear motif
Amino Acid Sequence
Protein Interaction Maps
Biology (General)
chemistry.chemical_classification
030102 biochemistry & molecular biology
General Immunology and Microbiology
General Neuroscience
Calcineurin
Molecular biophysics
protein specificity
Proteins
Hydrogels
General Medicine
Models
Theoretical

Affinities
Microspheres
protein-peptide interactions
030104 developmental biology
chemistry
Structural biology
spectral encoding
Medicine
Peptides
Protein Processing
Post-Translational

Algorithms
Research Article
Human
Protein Binding
Zdroj: eLife
eLife, Vol 8 (2019)
ISSN: 2050-084X
Popis: 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.
Databáze: OpenAIRE