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dc.contributor.author
Zea, Diego Javier  
dc.contributor.author
Mac Donagh, Juan  
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Benítez, Guillermo Ignacio  
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Guisande Donadio, Cristian Emanuel  
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Marchetti, Julia  
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Palopoli, Nicolás  
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Fornasari, Maria Silvina  
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Parisi, Gustavo Daniel  
dc.date.available
2023-10-24T19:33:28Z  
dc.date.issued
2022-09  
dc.identifier.citation
Zea, Diego Javier; Mac Donagh, Juan; Benítez, Guillermo Ignacio; Guisande Donadio, Cristian Emanuel; Marchetti, Julia; et al.; Evolutionary rates in human amyloid proteins reveal their intrinsic metastability; Cold Spring Harbor Laboratory Press; bioRxiv; 2022; 9-2022; 1-12  
dc.identifier.issn
2692-8205  
dc.identifier.uri
http://hdl.handle.net/11336/215809  
dc.description.abstract
The emerging picture of protein nature reveals its intrinsic metastability. According to this idea, although a protein is kinetically trapped in a local free energy minimum that defines its native state, those kinetic barriers can be overcome by a complex mixture of the protein’s intrinsic properties and environmental conditions, promoting access to more stable states such as the amyloid fibril. Proteins that are strongly driven towards aggregation in the form of these fibrils are called amyloidogenic. In this work we study the evolutionary rates of 81 human proteins for which an in vivo amyloid state is supported by experiment-based evidence. We found that these proteins evolve faster when compared with a large dataset of ∼16,000 reference proteins from the human proteome. However, their evolutionary rates were indistinguishable from those of secreted proteins that are already known to evolve fast. After analyzing different parameters that correlate with evolutionary rates, we found that the evolutionary rates of amyloidogenic proteins could be modulated by factors associated with metastable transitions such as supersaturation and conformational diversity. Our results showcase the importance of protein metastability in evolutionary studies.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Cold Spring Harbor Laboratory Press  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
PROTEIN  
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EVOLUTION  
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AMYLOID  
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Biología Celular, Microbiología  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Evolutionary rates in human amyloid proteins reveal their intrinsic metastability  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-07-28T17:29:24Z  
dc.journal.volume
2022  
dc.journal.pagination
1-12  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Zea, Diego Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Universite Paris-saclay (universite Paris-saclay);  
dc.description.fil
Fil: Mac Donagh, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
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Fil: Benítez, Guillermo Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
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Fil: Guisande Donadio, Cristian Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Marchetti, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Palopoli, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Fornasari, Maria Silvina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.description.fil
Fil: Parisi, Gustavo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina  
dc.journal.title
bioRxiv  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.biorxiv.org/content/10.1101/2022.09.07.506994v1  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1101/2022.09.07.506994