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Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA

The human sliding clamp, Proliferating Cell Nuclear Antigen (hPCNA), interacts with over 200 proteins through a conserved binding motif, the PIP-box, to orchestrate DNA replication and repair. It is not clear how changes to the features of a PIP-box modulate protein binding and thus how they fine-tu...

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Autores principales: Horsfall, Aimee J., Vandborg, Beth A., Kowalczyk, Wioleta, Chav, Theresa, Scanlon, Denis B., Abell, Andrew D., Bruning, John B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Biochemistry and Molecular Biology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191301/
https://www.ncbi.nlm.nih.gov/pubmed/33984330
http://dx.doi.org/10.1016/j.jbc.2021.100773
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author Horsfall, Aimee J.
Vandborg, Beth A.
Kowalczyk, Wioleta
Chav, Theresa
Scanlon, Denis B.
Abell, Andrew D.
Bruning, John B.
author_facet Horsfall, Aimee J.
Vandborg, Beth A.
Kowalczyk, Wioleta
Chav, Theresa
Scanlon, Denis B.
Abell, Andrew D.
Bruning, John B.
author_sort Horsfall, Aimee J.
collection PubMed
description The human sliding clamp, Proliferating Cell Nuclear Antigen (hPCNA), interacts with over 200 proteins through a conserved binding motif, the PIP-box, to orchestrate DNA replication and repair. It is not clear how changes to the features of a PIP-box modulate protein binding and thus how they fine-tune downstream processes. Here, we present a systematic study of each position within the PIP-box to reveal how hPCNA-interacting peptides bind with drastically varied affinities. We synthesized a series of 27 peptides derived from the native protein p21 with small PIP-box modifications and another series of 19 peptides containing PIP-box binding motifs from other proteins. The hPCNA-binding affinity of all peptides, characterized as K(D) values determined by surface plasmon resonance, spanned a 4000-fold range, from 1.83 nM to 7.59 μM. The hPCNA-bound peptide structures determined by X-ray crystallography and modeled computationally revealed intermolecular and intramolecular interaction networks that correlate with high hPCNA affinity. These data informed rational design of three new PIP-box sequences, testing of which revealed the highest affinity hPCNA-binding partner to date, with a K(D) value of 1.12 nM, from a peptide with PIP-box QTRITEYF. This work showcases the sequence-specific nuances within the PIP-box that are responsible for high-affinity hPCNA binding, which underpins our understanding of how nature tunes hPCNA affinity to regulate DNA replication and repair processes. In addition, these insights will be useful to future design of hPCNA inhibitors.
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spelling pubmed-81913012021-06-16 Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA Horsfall, Aimee J. Vandborg, Beth A. Kowalczyk, Wioleta Chav, Theresa Scanlon, Denis B. Abell, Andrew D. Bruning, John B. J Biol Chem Research Article The human sliding clamp, Proliferating Cell Nuclear Antigen (hPCNA), interacts with over 200 proteins through a conserved binding motif, the PIP-box, to orchestrate DNA replication and repair. It is not clear how changes to the features of a PIP-box modulate protein binding and thus how they fine-tune downstream processes. Here, we present a systematic study of each position within the PIP-box to reveal how hPCNA-interacting peptides bind with drastically varied affinities. We synthesized a series of 27 peptides derived from the native protein p21 with small PIP-box modifications and another series of 19 peptides containing PIP-box binding motifs from other proteins. The hPCNA-binding affinity of all peptides, characterized as K(D) values determined by surface plasmon resonance, spanned a 4000-fold range, from 1.83 nM to 7.59 μM. The hPCNA-bound peptide structures determined by X-ray crystallography and modeled computationally revealed intermolecular and intramolecular interaction networks that correlate with high hPCNA affinity. These data informed rational design of three new PIP-box sequences, testing of which revealed the highest affinity hPCNA-binding partner to date, with a K(D) value of 1.12 nM, from a peptide with PIP-box QTRITEYF. This work showcases the sequence-specific nuances within the PIP-box that are responsible for high-affinity hPCNA binding, which underpins our understanding of how nature tunes hPCNA affinity to regulate DNA replication and repair processes. In addition, these insights will be useful to future design of hPCNA inhibitors. American Society for Biochemistry and Molecular Biology 2021-05-11 /pmc/articles/PMC8191301/ /pubmed/33984330 http://dx.doi.org/10.1016/j.jbc.2021.100773 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Horsfall, Aimee J.
Vandborg, Beth A.
Kowalczyk, Wioleta
Chav, Theresa
Scanlon, Denis B.
Abell, Andrew D.
Bruning, John B.
Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA
title Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA
title_full Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA
title_fullStr Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA
title_full_unstemmed Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA
title_short Unlocking the PIP-box: A peptide library reveals interactions that drive high-affinity binding to human PCNA
title_sort unlocking the pip-box: a peptide library reveals interactions that drive high-affinity binding to human pcna
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191301/
https://www.ncbi.nlm.nih.gov/pubmed/33984330
http://dx.doi.org/10.1016/j.jbc.2021.100773
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