001     820731
005     20240625095128.0
024 7 _ |a 10.1073/pnas.1606791113
|2 doi
024 7 _ |a 0027-8424
|2 ISSN
024 7 _ |a 1091-6490
|2 ISSN
024 7 _ |a WOS:000385610400024
|2 WOS
024 7 _ |a altmetric:12462379
|2 altmetric
024 7 _ |a pmid:27708160
|2 pmid
037 _ _ |a FZJ-2016-05999
082 _ _ |a 000
100 1 _ |a Villar-Piqué, Anna
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Environmental and genetic factors support the dissociation between α-synuclein aggregation and toxicity
260 _ _ |a Washington, DC
|c 2016
|b National Acad. of Sciences
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 1479193273_784
|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 Synucleinopathies are a group of progressive disorders characterized by the abnormal aggregation and accumulation of α-synuclein (aSyn), an abundant neuronal protein that can adopt different conformations and biological properties. Recently, aSyn pathology was shown to spread between neurons in a prion-like manner. Proteins like aSyn that exhibit self-propagating capacity appear to be able to adopt different stable conformational states, known as protein strains, which can be modulated both by environmental and by protein-intrinsic factors. Here, we analyzed these factors and found that the unique combination of the neurodegeneration-related metal copper and the pathological H50Q aSyn mutation induces a significant alteration in the aggregation properties of aSyn. We compared the aggregation of WT and H50Q aSyn with and without copper, and assessed the effects of the resultant protein species when applied to primary neuronal cultures. The presence of copper induces the formation of structurally different and less-damaging aSyn aggregates. Interestingly, these aggregates exhibit a stronger capacity to induce aSyn inclusion formation in recipient cells, which demonstrates that the structural features of aSyn species determine their effect in neuronal cells and supports a lack of correlation between toxicity and inclusion formation. In total, our study provides strong support in favor of the hypothesis that protein aggregation is not a primary cause of cytotoxicity.
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 Lopes da Fonseca, Tomás
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Sant’Anna, Ricardo
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Szegö, Éva Mónika
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Fonseca-Ornelas, Luis
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Pinho, Raquel
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Carija, Anita
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Gerhardt, Ellen
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Masaracchia, Caterina
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Abad Gonzalez, Enrique
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Rossetti, Giulia
|0 P:(DE-Juel1)145921
|b 10
|u fzj
700 1 _ |a Carloni, Paolo
|0 P:(DE-Juel1)145614
|b 11
|u fzj
700 1 _ |a Fernández, Claudio O.
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Foguel, Debora
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Milosevic, Ira
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Zweckstetter, Markus
|0 P:(DE-HGF)0
|b 15
700 1 _ |a Ventura, Salvador
|0 P:(DE-HGF)0
|b 16
700 1 _ |a Outeiro, Tiago Fleming
|0 P:(DE-HGF)0
|b 17
|e Corresponding author
773 _ _ |a 10.1073/pnas.1606791113
|g Vol. 113, no. 42, p. E6506 - E6515
|0 PERI:(DE-600)1461794-8
|n 42
|p E6506 - E6515
|t Proceedings of the National Academy of Sciences of the United States of America
|v 113
|y 2016
|x 1091-6490
856 4 _ |u https://juser.fz-juelich.de/record/820731/files/PNAS-2016-Villar-Piqu%C3%A9-E6506-15.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/820731/files/PNAS-2016-Villar-Piqu%C3%A9-E6506-15.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:820731
|p VDB
910 1 _ |a German Research School for Simulation Sciences
|0 I:(DE-588b)1026307295
|k GRS Aachen
|b 9
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|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 2016
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b P NATL ACAD SCI USA : 2015
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b P NATL ACAD SCI USA : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a National-Konsortium
|0 StatID:(DE-HGF)0430
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a No Authors Fulltext
|0 StatID:(DE-HGF)0550
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
920 _ _ |l yes
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)GRS-20100316
|k GRS Jülich ; German Research School for Simulation Sciences
|l GRS
|x 2
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 3
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IAS-5-20120330
980 _ _ |a I:(DE-Juel1)INM-9-20140121
980 _ _ |a I:(DE-Juel1)GRS-20100316
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)INM-9-20140121
981 _ _ |a I:(DE-Juel1)GRS-20100316
981 _ _ |a I:(DE-Juel1)JSC-20090406


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21