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Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments
S100 proteins assume a diversity of oligomeric states including large order self-assemblies, with an impact on protein structure and function. Previous work has uncovered that S100 proteins, including S100B, are prone to undergo β-aggregation under destabilizing conditions. This propensity is encode...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830867/ https://www.ncbi.nlm.nih.gov/pubmed/33467751 http://dx.doi.org/10.3390/molecules26020440 |
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author | Cristóvão, Joana S. Romão, Mariana A. Gallardo, Rodrigo Schymkowitz, Joost Rousseau, Frederic Gomes, Cláudio M. |
author_facet | Cristóvão, Joana S. Romão, Mariana A. Gallardo, Rodrigo Schymkowitz, Joost Rousseau, Frederic Gomes, Cláudio M. |
author_sort | Cristóvão, Joana S. |
collection | PubMed |
description | S100 proteins assume a diversity of oligomeric states including large order self-assemblies, with an impact on protein structure and function. Previous work has uncovered that S100 proteins, including S100B, are prone to undergo β-aggregation under destabilizing conditions. This propensity is encoded in aggregation-prone regions (APR) mainly located in segments at the homodimer interface, and which are therefore mostly shielded from the solvent and from deleterious interactions, under native conditions. As in other systems, this characteristic may be used to develop peptides with pharmacological potential that selectively induce the aggregation of S100B through homotypic interactions with its APRs, resulting in functional inhibition through a loss of function. Here we report initial studies towards this goal. We applied the TANGO algorithm to identify specific APR segments in S100B helix IV and used this information to design and synthesize S100B-derived APR peptides. We then combined fluorescence spectroscopy, transmission electron microscopy, biolayer interferometry, and aggregation kinetics and determined that the synthetic peptides have strong aggregation propensity, interact with S100B, and may promote co-aggregation reactions. In this framework, we discuss the considerable potential of such APR-derived peptides to act pharmacologically over S100B in numerous physiological and pathological conditions, for instance as modifiers of the S100B interactome or as promoters of S100B inactivation by selective aggregation. |
format | Online Article Text |
id | pubmed-7830867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78308672021-01-26 Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments Cristóvão, Joana S. Romão, Mariana A. Gallardo, Rodrigo Schymkowitz, Joost Rousseau, Frederic Gomes, Cláudio M. Molecules Article S100 proteins assume a diversity of oligomeric states including large order self-assemblies, with an impact on protein structure and function. Previous work has uncovered that S100 proteins, including S100B, are prone to undergo β-aggregation under destabilizing conditions. This propensity is encoded in aggregation-prone regions (APR) mainly located in segments at the homodimer interface, and which are therefore mostly shielded from the solvent and from deleterious interactions, under native conditions. As in other systems, this characteristic may be used to develop peptides with pharmacological potential that selectively induce the aggregation of S100B through homotypic interactions with its APRs, resulting in functional inhibition through a loss of function. Here we report initial studies towards this goal. We applied the TANGO algorithm to identify specific APR segments in S100B helix IV and used this information to design and synthesize S100B-derived APR peptides. We then combined fluorescence spectroscopy, transmission electron microscopy, biolayer interferometry, and aggregation kinetics and determined that the synthetic peptides have strong aggregation propensity, interact with S100B, and may promote co-aggregation reactions. In this framework, we discuss the considerable potential of such APR-derived peptides to act pharmacologically over S100B in numerous physiological and pathological conditions, for instance as modifiers of the S100B interactome or as promoters of S100B inactivation by selective aggregation. MDPI 2021-01-15 /pmc/articles/PMC7830867/ /pubmed/33467751 http://dx.doi.org/10.3390/molecules26020440 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cristóvão, Joana S. Romão, Mariana A. Gallardo, Rodrigo Schymkowitz, Joost Rousseau, Frederic Gomes, Cláudio M. Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments |
title | Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments |
title_full | Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments |
title_fullStr | Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments |
title_full_unstemmed | Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments |
title_short | Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments |
title_sort | targeting s100b with peptides encoding intrinsic aggregation-prone sequence segments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830867/ https://www.ncbi.nlm.nih.gov/pubmed/33467751 http://dx.doi.org/10.3390/molecules26020440 |
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