The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Antiparallel β-sheet architecture in Iowa-mutant β-amyloid fibrils
Open accessAbstract
Wild-type, full-length (40- and 42-residue) amyloid β-peptide (Aβ) fibrils have been shown by a variety of magnetic resonance techniques to contain cross-β structures in which the β-sheets have an in-register parallel supramolecular organization. In contrast, recent studies of fibrils formed in vitro by the Asp23-to-Asn mutant of 40-residue Aβ (D23N-A β 1–40 ), which is associated with early onset neurodegeneration, indicate that D23N-A β 1–40 fibrils can contain either parallel or antiparallel β-sheets. We report a protocol for producing structurally pure antiparallel D23N-A β 1–40 fibril samples and a series of solid state nuclear magnetic resonance and electron microscopy measurements that lead to a specific model for the antiparallel D23N-A β 1–40 fibril structure. This model reveals how both parallel and antiparallel cross-β structures can be constructed from similar peptide monomer conformations and stabilized by similar sets of interactions, primarily hydrophobic in nature. We find that antiparallel D23N-A β 1–40 fibrils are thermodynamically metastable with respect to conversion to parallel structures, propagate less efficiently than parallel fibrils in seeded fibril growth, and therefore must nucleate more efficiently than parallel fibrils in order to be observable. Experiments in neuronal cell cultures indicate that both antiparallel and parallel D23N-A β 1–40 fibrils are cytotoxic. Thus, our antiparallel D23N-A β 1–40 fibril model represents a specific “toxic intermediate” in the aggregation process of a disease-associated Aβ mutant.
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.
Integrity signals
Registry
Cites
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.
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
Self-Propagating, Molecular-Level Polymorphism in Alzheimer's ß-Amyloid Fibrils
Petkova, A. T., Leapman, R. D., Guo, Z., Yau, W.-M., Mattson, M. P., & Tycko, R. (2005) · Science · doi:10.1126/science.1105850 · Cited by 1,687
Self-citationStructural conversion of neurotoxic amyloid-β1–42 oligomers to fibrils
Ahmed, M., Davis, J., Aucoin, D., Sato, T., Ahuja, S., Aimoto, S., Elliott, J. I., Van Nostrand, W. E., & Smith, S. O. (2010) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1799 · Cited by 1,111
Grabowski, T. J., Cho, H. S., Vonsattel, J. P. G., Rebeck, G. W., & Greenberg, S. M. (2001) · Annals of Neurology · doi:10.1002/ana.1009 · Cited by 523
Cited by
A new era for understanding amyloid structures and disease
Iadanza, M. G., Jackson, M. P., Hewitt, E. W., Ranson, N. A., & Radford, S. E. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0060-8 · Cited by 980
Structural variation in amyloid-β fibrils from Alzheimer's disease clinical subtypes
Qiang, W., Yau, W.-M., Lu, J.-X., Collinge, J., & Tycko, R. (2017) · Nature · doi:10.1038/nature20814 · Cited by 630
Self-citationAmyloid β Protein and Alzheimer’s Disease: When Computer Simulations Complement Experimental Studies
Nasica-Labouze, J., Nguyen, P. H., Sterpone, F., Berthoumieu, O., Buchete, N.-V., Coté, S., De Simone, A., Doig, A. J., Faller, P., Garcia, A., et al. (2015) · Chemical Reviews · doi:10.1021/cr500638n · Cited by 584
Amyloid Polymorphism: Structural Basis and Neurobiological Relevance
Tycko, R. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.017 · Cited by 440
Self-citationThe amyloid cascade hypothesis: an updated critical review
Kepp, K. P., Robakis, N. K., Høilund-Carlsen, P. F., Sensi, S. L., & Vissel, B. (2023) · Brain · doi:10.1093/brain/awad159 · Cited by 284
Metadata
- Authors
- Qiang, W., Yau, W.-M., Luo, Y., Mattson, M. P., & Tycko, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-03-08
- Volume
- 109
- Issue
- 12
- Pages
- 4443-4448
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2017684135
- Cited by
- 346
- References
- 3
- FWCI
- 20.19
- 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: Antiparallel β-sheet architecture in Iowa-mutant β-amyloid fibrils. https://app.cochat.ai/papers/10.1073/pnas.1111305109
- The paper
- Qiang, W., Yau, W.-M., Luo, Y., Mattson, M. P., & Tycko, R. (2012). Antiparallel β-sheet architecture in Iowa-mutant β-amyloid fibrils. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1111305109
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.