Home > Publications database > Copper(II) and the pathological H50Q α-synuclein mutant: Environment meets genetics > print

001     830503
005     20240625095111.0
024 7 _ |a 10.1080/19420889.2016.1270484
|2 doi
024 7 _ |a 2128/14646
|2 Handle
024 7 _ |a pmid:28289488
|2 pmid
024 7 _ |a altmetric:17708220
|2 altmetric
037 _ _ |a FZJ-2017-04044
082 _ _ |a 570
100 1 _ |a Villar-Piqué, Anna
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Copper(II) and the pathological H50Q α-synuclein mutant: Environment meets genetics
260 _ _ |a Austin, Tex.
|c 2017
|b Landes Bioscience
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1497010692_12101
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Copper is one of the metals described to bind the Parkinson disease-related protein α-synuclein (aSyn), and to promote its aggregation. Although histidine at position 50 in the aSyn sequence is one of the most studied copper-anchoring sites, its precise role in copper binding and aSyn aggregation is still unclear. Previous studies suggested that this residue does not significantly affect copper-mediated aSyn aggregation. However, our findings showed that the aggregation of the pathological H50Q aSyn mutant is enhanced by copper hints otherwise. Despite the inexistence of a model for aSyn H50Q-copper complexation, we discuss possible mechanisms by which this metal contributes to the misfolding and self-assembly of this particular aSyn mutant. Considering the genetic association of the H50Q mutation with familial forms of Parkinson disease, and the fact that copper homeostasis is deregulated in this disorder, understanding the interplay between both factors will shed light into the molecular and cellular mechanisms triggering the development and spreading of the aSyn pathology.
536 _ _ |a 572 - (Dys-)function and Plasticity (POF3-572)
|0 G:(DE-HGF)POF3-572
|c POF3-572
|f POF III
|x 0
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 1
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Rossetti, Giulia
|0 P:(DE-Juel1)145921
|b 1
|u fzj
700 1 _ |a Ventura, Salvador
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Carloni, Paolo
|0 P:(DE-Juel1)145614
|b 3
|u fzj
700 1 _ |a Fernández, Claudio O.
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Outeiro, Tiago Fleming
|0 P:(DE-HGF)0
|b 5
|e Corresponding author
773 _ _ |a 10.1080/19420889.2016.1270484
|g Vol. 10, no. 1, p. e1270484 -
|0 PERI:(DE-600)2451097-X
|n 1
|p e1270484 -
|t Communicative & integrative biology
|v 10
|y 2017
|x 1942-0889
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/830503/files/Copper%20II%20and%20the%20pathological%20H50Q%20synuclein%20mutant%20Environment%20meets%20genetics.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/830503/files/Copper%20II%20and%20the%20pathological%20H50Q%20synuclein%20mutant%20Environment%20meets%20genetics.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/830503/files/Copper%20II%20and%20the%20pathological%20H50Q%20synuclein%20mutant%20Environment%20meets%20genetics.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/830503/files/Copper%20II%20and%20the%20pathological%20H50Q%20synuclein%20mutant%20Environment%20meets%20genetics.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/830503/files/Copper%20II%20and%20the%20pathological%20H50Q%20synuclein%20mutant%20Environment%20meets%20genetics.jpg?subformat=icon-640
856 4 _ |y OpenAccess
|x pdfa
|u https://juser.fz-juelich.de/record/830503/files/Copper%20II%20and%20the%20pathological%20H50Q%20synuclein%20mutant%20Environment%20meets%20genetics.pdf?subformat=pdfa
909 C O |o oai:juser.fz-juelich.de:830503
|p openaire
|p open_access
|p driver
|p VDB
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)145921
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)145614
913 1 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
|0 G:(DE-HGF)POF3-572
|2 G:(DE-HGF)POF3-500
|v (Dys-)function and Plasticity
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 1
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
914 1 _ |y 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 1 _ |0 I:(DE-Juel1)IAS-5-20120330
|k IAS-5
|l Computational Biomedicine
|x 0
920 1 _ |0 I:(DE-Juel1)INM-9-20140121
|k INM-9
|l Computational Biomedicine
|x 1
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21