Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 199

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Kinetics of Amyloid β Monomer-to-Oligomer Exchange by NMR Relaxation

Open access
Fawzi, Nicolas L., Ying, Jinfa, Torchia, Dennis A., Clore, G. Marius·2010·Journal of the American Chemical Society

Abstract

Recent studies have implicated non-fibrillar oligomers of the amyloid beta (Abeta) peptide as the primary toxic species in Alzheimer's disease. Detailed structural and kinetic characterization of these states, however, has been difficult. Here we use NMR relaxation measurements to address the kinetics of exchange between monomeric and large, polymorphic oligomeric species of Abeta(1-40). (15)N and (1)H(N) R(2) data at multiple magnetic fields were recorded for several peptide concentrations subsequent to the establishment of a stable pseudo-equilibrium between monomeric and NMR-invisible soluble oligomeric species. The increase in (15)N and (1)H(N) R(2) rates as a function of protein concentration is independent of nucleus and magnetic field and shows only a small degree of variation along the peptide chain. This phenomenon is due to a lifetime broadening effect arising from the unidirectional conversion of monomer to the NMR-invisible oligomeric species ("dark" state). At a total Abeta(1-40) concentration of 300 microM, the apparent first-order rate constant for this process is approximately 3 s(-1). Fitting the McConnell equations for two dipolar-coupled spins in two-site exchange to transfer-of-saturation profiles at two radiofrequency field strengths gives an estimate for k(off) of 73 s(-1) and transiently bound monomer (1)H(N) R(2) rates of up to 42,000 s(-1) in the tightly bound central hydrophobic region and approximately 300 s(-1) in the disordered regions, such as the first nine residues. The fraction of peptide within the "dark" oligomeric state undergoing exchange with free monomer is calculated to be approximately 3%.

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 · 10.1021/ja1048253

Cites

4 of 4 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 4 references

Cited by

Metadata

Authors
Fawzi, N. L., Ying, J., Torchia, D. A., & Clore, G. M.
Venue
Journal of the American Chemical Society
Published
2010-07-06
Volume
132
Issue
29
Pages
9948-9951
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2039735363
Cited by
199
References
4
FWCI
6.47
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

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.