001     904323
005     20220103172033.0
024 7 _ |a 10.1038/s41467-021-24900-4
|2 doi
024 7 _ |a 2128/29691
|2 Handle
024 7 _ |a altmetric:110682267
|2 altmetric
024 7 _ |a pmid:34330900
|2 pmid
024 7 _ |a WOS:000684302900001
|2 WOS
037 _ _ |a FZJ-2021-05893
082 _ _ |a 500
100 1 _ |a Schützmann, Marie P.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Endo-lysosomal Aβ concentration and pH trigger formation of Aβ oligomers that potently induce Tau missorting
260 _ _ |a [London]
|c 2021
|b Nature Publishing Group UK
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 1640940685_23406
|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 Amyloid-β peptide (Aβ) forms metastable oligomers >50 kDa, termed AβOs, that are more effective than Aβ amyloid fibrils at triggering Alzheimer’s disease-related processes such as synaptic dysfunction and Tau pathology, including Tau mislocalization. In neurons, Aβ accumulates in endo-lysosomal vesicles at low pH. Here, we show that the rate of AβO assembly is accelerated 8,000-fold upon pH reduction from extracellular to endo-lysosomal pH, at the expense of amyloid fibril formation. The pH-induced promotion of AβO formation and the high endo-lysosomal Aβ concentration together enable extensive AβO formation of Aβ42 under physiological conditions. Exploiting the enhanced AβO formation of the dimeric Aβ variant dimAβ we furthermore demonstrate targeting of AβOs to dendritic spines, potent induction of Tau missorting, a key factor in tauopathies, and impaired neuronal activity. The results suggest that the endosomal/lysosomal system is a major site for the assembly of pathomechanistically relevant AβOs.
536 _ _ |a 5244 - Information Processing in Neuronal Networks (POF4-524)
|0 G:(DE-HGF)POF4-5244
|c POF4-524
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Hasecke, Filip
|0 P:(DE-Juel1)180464
|b 1
700 1 _ |a Bachmann, Sarah
|0 0000-0002-3636-1364
|b 2
700 1 _ |a Zielinski, Mara
|0 P:(DE-Juel1)176935
|b 3
700 1 _ |a Hänsch, Sebastian
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Schröder, Gunnar F.
|0 P:(DE-Juel1)132018
|b 5
700 1 _ |a Zempel, Hans
|0 0000-0002-7510-3077
|b 6
|e Corresponding author
700 1 _ |a Hoyer, Wolfgang
|0 P:(DE-Juel1)166306
|b 7
|e Corresponding author
773 _ _ |a 10.1038/s41467-021-24900-4
|g Vol. 12, no. 1, p. 4634
|0 PERI:(DE-600)2553671-0
|n 1
|p 4634
|t Nature Communications
|v 12
|y 2021
|x 2041-1723
856 4 _ |u https://juser.fz-juelich.de/record/904323/files/s41467-021-24900-4.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:904323
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)176935
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)132018
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)166306
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-524
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Molecular and Cellular Information Processing
|9 G:(DE-HGF)POF4-5244
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2021-02-02
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2021-02-02
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2021-02-02
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2021-02-02
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2019
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2021-02-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-02
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b NAT COMMUN : 2019
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-02-02
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2021-02-02
920 1 _ |0 I:(DE-Juel1)IBI-7-20200312
|k IBI-7
|l Strukturbiochemie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBI-7-20200312
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21