Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 308

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Chemical properties of lipids strongly affect the kinetics of the membrane-induced aggregation of α-synuclein

Open access
Galvagnion, Céline, Brown, James W. P., Ouberai, Myriam M., Flagmeier, Patrick, Vendruscolo, Michele, Buell, Alexander K., Sparr, Emma, Dobson, Christopher M.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Parkinson’s disease is the second most prevalent neurodegenerative disorder and is characterized by the presence in the brains of patients of proteinaceous deposits whose main component is α-synuclein. This protein interacts with membranes as part of its biological function, but this interaction also modulates its kinetics of aggregation. Here, we show that, despite the fact that α-synuclein binds to different types of membranes, it only forms amyloid fibrils in the presence of the most soluble lipids investigated here. This finding is of particular significance because it shows that modifications of the chemical properties of lipids, such as those associated with oxidation and ageing, could be a key determinant of the switch between functional and deleterious interactions between α-synuclein and membranes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.1601899113

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 47 references

Cited by

See all 308

Metadata

Authors
Galvagnion, C., Brown, J. W. P., Ouberai, M. M., Flagmeier, P., Vendruscolo, M., Buell, A. K., Sparr, E., & Dobson, C. M.
Venue
Proceedings of the National Academy of Sciences
Published
2016-06-13
Volume
113
Issue
26
Pages
7065-7070
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2443158342
Cited by
308
References
47
FWCI
15.66
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Chemical properties of lipids strongly affect the kinetics of the membrane-induced aggregation of α-synuclein. https://app.cochat.ai/papers/10.1073/pnas.1601899113
The paper
Galvagnion, C., Brown, J. W. P., Ouberai, M. M., Flagmeier, P., Vendruscolo, M., Buell, A. K., Sparr, E., & Dobson, C. M. (2016). Chemical properties of lipids strongly affect the kinetics of the membrane-induced aggregation of α-synuclein. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1601899113

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.