Structural defects and the diagnosis of amyloidogenic propensity

Autores
Fernandez, Ariel; Kardos, Jozsef; Ridgway, Scott L.; Goto, Yuji; Berry, R. Stephen
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Disease-related amyloidogenic propensity has been unexpectedly found in proteins driven to adopt a monomeric uncomplexed state at high concentrations under near-physiological conditions. This situation occasionally arises in new health treatments, such as kidney dialysis. Assuming that under such conditions a partial retention of native structure takes place, this work identifies a structural characteristic indicating amyloidogenic propensity: a high density of backbone hydrogen bonds exposed to water attack in monomeric structure. On this basis, we propose a diagnostic tool based on the identification of hydrogen bonds with a paucity of intramolecular dehydration or "wrapping." We use this predictor to identify potentially pathogenic mutations that foster amyloidogenic propensity in human prions. Such mutations either enhance the intramolecular dehydration of β-sheet hydrogen bonds, thus stabilizing the nucleus for rearrangement into the scrapie fold, or contribute to the destabilization of the cellular form by introducing additional underwrapped hydrogen bonds. Our predictions are consistent with known disease-related mutations and lead to a cogent explanation of the pathogenic nature of specific mutations affecting the cellular prion protein structural wrapping. On the other hand, a different wrapping of a very similar fold, mouse doppel, induces a dramatically different level of amyloidogenic propensity, suggesting that the packing within the fold, and not the fold itself, contains the signal for aggregation.
Fil: Fernandez, Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Kardos, Jozsef. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados Unidos
Fil: Ridgway, Scott L.. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados Unidos
Fil: Goto, Yuji. Osaka University and Core Research for EvolutionalScience and Technology. Institute for Protein Research; Japón
Fil: Berry, R. Stephen. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados Unidos
Materia
AMYLOIDOSIS
HYDROGEN BONDS
PRIONS
PROTEIN STRUCTURE
STRUCTURAL WRAPPING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/97078

id CONICETDig_613a833bb3c4fab8e8b8141d721fc61c
oai_identifier_str oai:ri.conicet.gov.ar:11336/97078
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Structural defects and the diagnosis of amyloidogenic propensityFernandez, ArielKardos, JozsefRidgway, Scott L.Goto, YujiBerry, R. StephenAMYLOIDOSISHYDROGEN BONDSPRIONSPROTEIN STRUCTURESTRUCTURAL WRAPPINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Disease-related amyloidogenic propensity has been unexpectedly found in proteins driven to adopt a monomeric uncomplexed state at high concentrations under near-physiological conditions. This situation occasionally arises in new health treatments, such as kidney dialysis. Assuming that under such conditions a partial retention of native structure takes place, this work identifies a structural characteristic indicating amyloidogenic propensity: a high density of backbone hydrogen bonds exposed to water attack in monomeric structure. On this basis, we propose a diagnostic tool based on the identification of hydrogen bonds with a paucity of intramolecular dehydration or "wrapping." We use this predictor to identify potentially pathogenic mutations that foster amyloidogenic propensity in human prions. Such mutations either enhance the intramolecular dehydration of β-sheet hydrogen bonds, thus stabilizing the nucleus for rearrangement into the scrapie fold, or contribute to the destabilization of the cellular form by introducing additional underwrapped hydrogen bonds. Our predictions are consistent with known disease-related mutations and lead to a cogent explanation of the pathogenic nature of specific mutations affecting the cellular prion protein structural wrapping. On the other hand, a different wrapping of a very similar fold, mouse doppel, induces a dramatically different level of amyloidogenic propensity, suggesting that the packing within the fold, and not the fold itself, contains the signal for aggregation.Fil: Fernandez, Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Kardos, Jozsef. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados UnidosFil: Ridgway, Scott L.. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados UnidosFil: Goto, Yuji. Osaka University and Core Research for EvolutionalScience and Technology. Institute for Protein Research; JapónFil: Berry, R. Stephen. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados UnidosNational Academy of Sciences2003-05-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/97078Fernandez, Ariel; Kardos, Jozsef; Ridgway, Scott L.; Goto, Yuji; Berry, R. Stephen; Structural defects and the diagnosis of amyloidogenic propensity; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 100; 11; 27-5-2003; 6446-64510027-8424CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.pnas.org/content/100/11/6446info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.0731893100info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:56:57Zoai:ri.conicet.gov.ar:11336/97078instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:56:58.238CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Structural defects and the diagnosis of amyloidogenic propensity
title Structural defects and the diagnosis of amyloidogenic propensity
spellingShingle Structural defects and the diagnosis of amyloidogenic propensity
Fernandez, Ariel
AMYLOIDOSIS
HYDROGEN BONDS
PRIONS
PROTEIN STRUCTURE
STRUCTURAL WRAPPING
title_short Structural defects and the diagnosis of amyloidogenic propensity
title_full Structural defects and the diagnosis of amyloidogenic propensity
title_fullStr Structural defects and the diagnosis of amyloidogenic propensity
title_full_unstemmed Structural defects and the diagnosis of amyloidogenic propensity
title_sort Structural defects and the diagnosis of amyloidogenic propensity
dc.creator.none.fl_str_mv Fernandez, Ariel
Kardos, Jozsef
Ridgway, Scott L.
Goto, Yuji
Berry, R. Stephen
author Fernandez, Ariel
author_facet Fernandez, Ariel
Kardos, Jozsef
Ridgway, Scott L.
Goto, Yuji
Berry, R. Stephen
author_role author
author2 Kardos, Jozsef
Ridgway, Scott L.
Goto, Yuji
Berry, R. Stephen
author2_role author
author
author
author
dc.subject.none.fl_str_mv AMYLOIDOSIS
HYDROGEN BONDS
PRIONS
PROTEIN STRUCTURE
STRUCTURAL WRAPPING
topic AMYLOIDOSIS
HYDROGEN BONDS
PRIONS
PROTEIN STRUCTURE
STRUCTURAL WRAPPING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Disease-related amyloidogenic propensity has been unexpectedly found in proteins driven to adopt a monomeric uncomplexed state at high concentrations under near-physiological conditions. This situation occasionally arises in new health treatments, such as kidney dialysis. Assuming that under such conditions a partial retention of native structure takes place, this work identifies a structural characteristic indicating amyloidogenic propensity: a high density of backbone hydrogen bonds exposed to water attack in monomeric structure. On this basis, we propose a diagnostic tool based on the identification of hydrogen bonds with a paucity of intramolecular dehydration or "wrapping." We use this predictor to identify potentially pathogenic mutations that foster amyloidogenic propensity in human prions. Such mutations either enhance the intramolecular dehydration of β-sheet hydrogen bonds, thus stabilizing the nucleus for rearrangement into the scrapie fold, or contribute to the destabilization of the cellular form by introducing additional underwrapped hydrogen bonds. Our predictions are consistent with known disease-related mutations and lead to a cogent explanation of the pathogenic nature of specific mutations affecting the cellular prion protein structural wrapping. On the other hand, a different wrapping of a very similar fold, mouse doppel, induces a dramatically different level of amyloidogenic propensity, suggesting that the packing within the fold, and not the fold itself, contains the signal for aggregation.
Fil: Fernandez, Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Kardos, Jozsef. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados Unidos
Fil: Ridgway, Scott L.. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados Unidos
Fil: Goto, Yuji. Osaka University and Core Research for EvolutionalScience and Technology. Institute for Protein Research; Japón
Fil: Berry, R. Stephen. University of Chicago. Department of Computer Science. Institute for Biophysical Dynamics; Estados Unidos
description Disease-related amyloidogenic propensity has been unexpectedly found in proteins driven to adopt a monomeric uncomplexed state at high concentrations under near-physiological conditions. This situation occasionally arises in new health treatments, such as kidney dialysis. Assuming that under such conditions a partial retention of native structure takes place, this work identifies a structural characteristic indicating amyloidogenic propensity: a high density of backbone hydrogen bonds exposed to water attack in monomeric structure. On this basis, we propose a diagnostic tool based on the identification of hydrogen bonds with a paucity of intramolecular dehydration or "wrapping." We use this predictor to identify potentially pathogenic mutations that foster amyloidogenic propensity in human prions. Such mutations either enhance the intramolecular dehydration of β-sheet hydrogen bonds, thus stabilizing the nucleus for rearrangement into the scrapie fold, or contribute to the destabilization of the cellular form by introducing additional underwrapped hydrogen bonds. Our predictions are consistent with known disease-related mutations and lead to a cogent explanation of the pathogenic nature of specific mutations affecting the cellular prion protein structural wrapping. On the other hand, a different wrapping of a very similar fold, mouse doppel, induces a dramatically different level of amyloidogenic propensity, suggesting that the packing within the fold, and not the fold itself, contains the signal for aggregation.
publishDate 2003
dc.date.none.fl_str_mv 2003-05-27
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/97078
Fernandez, Ariel; Kardos, Jozsef; Ridgway, Scott L.; Goto, Yuji; Berry, R. Stephen; Structural defects and the diagnosis of amyloidogenic propensity; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 100; 11; 27-5-2003; 6446-6451
0027-8424
CONICET Digital
CONICET
url http://hdl.handle.net/11336/97078
identifier_str_mv Fernandez, Ariel; Kardos, Jozsef; Ridgway, Scott L.; Goto, Yuji; Berry, R. Stephen; Structural defects and the diagnosis of amyloidogenic propensity; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 100; 11; 27-5-2003; 6446-6451
0027-8424
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.pnas.org/content/100/11/6446
info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.0731893100
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv National Academy of Sciences
publisher.none.fl_str_mv National Academy of Sciences
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083105944764416
score 13.22299