001     279351
005     20250713001447.0
024 7 _ |a 10.1016/j.bpj.2025.04.031
|2 doi
024 7 _ |a pmid:40329536
|2 pmid
024 7 _ |a 0006-3495
|2 ISSN
024 7 _ |a 1542-0086
|2 ISSN
024 7 _ |a altmetric:176970711
|2 altmetric
037 _ _ |a DZNE-2025-00728
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Intze, Antonia
|b 0
245 _ _ |a Effect of RNA on the supramolecular architecture of α-synuclein fibrils.
260 _ _ |a Cambridge, Mass.
|c 2025
|b Cell Press
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 1751879503_21133
|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 Structural changes associated with protein aggregation are challenging to study, requiring the combination of experimental techniques providing insights at the molecular level across diverse scales, ranging from nanometers to microns. Understanding these changes is even more complex when aggregation occurs in the presence of molecular cofactors such as nucleic acids and when the resulting aggregates are highly polymorphic. Infrared (IR) spectroscopy is a powerful tool for studying protein aggregates since it combines the label-free sensitivity to the cross-β architecture, an inherent feature of protein supramolecular aggregates, with the possibility to reach nanoscale sensitivity by leveraging atomic force microscopy (AFM)-assisted detection. Here, we present a combined approach that detects IR spectral markers of aggregation using various IR spectroscopy techniques, covering micro-to-nanoscale ranges, to study the effect of RNA on the supramolecular architecture of α-synuclein amyloid aggregates. We show a clear impact of RNA consistent with enhanced intermolecular forces, likely via a stronger hydrogen-bonded network stabilizing the cross-β architecture. AFM-assisted IR spectroscopy was crucial to assess that the more ordered the aggregates are, the stronger the structural impact of RNA. In addition, an RNA-induced reduction of the degree of polymorphism within the aggregate population is obtained.
536 _ _ |a 351 - Brain Function (POF4-351)
|0 G:(DE-HGF)POF4-351
|c POF4-351
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a alpha-Synuclein
|2 NLM Chemicals
650 _ 7 |a RNA
|0 63231-63-0
|2 NLM Chemicals
650 _ 7 |a Protein Aggregates
|2 NLM Chemicals
650 _ 7 |a Amyloid
|2 NLM Chemicals
650 _ 2 |a alpha-Synuclein: chemistry
|2 MeSH
650 _ 2 |a alpha-Synuclein: metabolism
|2 MeSH
650 _ 2 |a RNA: chemistry
|2 MeSH
650 _ 2 |a RNA: metabolism
|2 MeSH
650 _ 2 |a Protein Aggregates
|2 MeSH
650 _ 2 |a Amyloid: chemistry
|2 MeSH
650 _ 2 |a Microscopy, Atomic Force
|2 MeSH
650 _ 2 |a Spectrophotometry, Infrared
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
700 1 _ |a Temperini, Maria Eleonora
|b 1
700 1 _ |a Rupert, Jakob
|0 P:(DE-2719)9003548
|b 2
|u dzne
700 1 _ |a Polito, Raffaella
|b 3
700 1 _ |a Veber, Alexander
|b 4
700 1 _ |a Puskar, Ljiljana
|b 5
700 1 _ |a Schade, Ulrich
|b 6
700 1 _ |a Ortolani, Michele
|b 7
700 1 _ |a Zacco, Elsa
|b 8
700 1 _ |a Tartaglia, Gian Gaetano
|b 9
700 1 _ |a Giliberti, Valeria
|b 10
773 _ _ |a 10.1016/j.bpj.2025.04.031
|g Vol. 124, no. 12, p. 2005 - 2019
|0 PERI:(DE-600)1477214-0
|n 12
|p 2005 - 2019
|t Biophysical journal
|v 124
|y 2025
|x 0006-3495
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/279351/files/DZNE-2025-00728.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/279351/files/DZNE-2025-00728.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:279351
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 2
|6 P:(DE-2719)9003548
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-351
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Brain Function
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-21
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2024-12-21
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-21
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-21
920 1 _ |0 I:(DE-2719)1013043
|k AG Milovanovic (Bonn)
|l Molecular Neuroscience
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1013043
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21