The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Structural analysis and mapping of individual protein complexes by infrared nanospectroscopy
Open accessAbstract
Mid-infrared spectroscopy is a widely used tool for material identification and secondary structure analysis in chemistry, biology and biochemistry. However, the diffraction limit prevents nanoscale protein studies. Here we introduce mapping of protein structure with 30 nm lateral resolution and sensitivity to individual protein complexes by Fourier transform infrared nanospectroscopy (nano-FTIR). We present local broadband spectra of one virus, ferritin complexes, purple membranes and insulin aggregates, which can be interpreted in terms of their α-helical and/or β-sheet structure. Applying nano-FTIR for studying insulin fibrils—a model system widely used in neurodegenerative disease research—we find clear evidence that 3-nm-thin amyloid-like fibrils contain a large amount of α-helical structure. This reveals the surprisingly high level of protein organization in the fibril’s periphery, which might explain why fibrils associate. We envision a wide application potential of nano-FTIR, including cellular receptor in vitro mapping and analysis of proteins within quaternary structures. Mid-infrared spectroscopy offers important chemical and structural information about biological samples but diffraction prevents nanoscale studies. Amenabar et al.demonstrate Fourier transform infrared nanospectroscopy for analysing the secondary structure of protein complexes with 30 nm spatial resolution.
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
Fourier Transform Infrared Spectrometry
Griffiths, P. R., & de Haseth, J. A. (2007) · doi:10.1002/047010631x · Cited by 3,052
Cited by
Infrared Difference Spectroscopy of Proteins: From Bands to Bonds
Lorenz-Fonfria, V. A. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00449 · Cited by 325
Nanoplasmonic mid-infrared biosensor for in vitro protein secondary structure detection
Etezadi, D., Warner IV, J. B., Ruggeri, F. S., Dietler, G., Lashuel, H. A., & Altug, H. (2017) · Light: Science & Applications · doi:10.1038/lsa.2017.29 · Cited by 137
Semenyshyn, R., Hentschel, M., Stanglmair, C., Teutsch, T., Tarin, C., Pacholski, C., Giessen, H., & Neubrech, F. (2019) · Nano Letters · doi:10.1021/acs.nanolett.8b02372 · Cited by 60
Infrared nanospectroscopy characterization of metal oxide photoresists
Zhao, X., Wu, C. H. (., Bechtel, H. A., Weidman, T., & Salmeron, M. B. (2022) · Journal of Micro/Nanopatterning, Materials, and Metrology · doi:10.1117/1.jmm.21.4.041408 · Cited by 2
Metadata
- Authors
- Amenabar, I., Poly, S., Nuansing, W., Hubrich, E. H., Govyadinov, A. A., Huth, F., Krutokhvostov, R., Zhang, L., Knez, M., Heberle, J., Bittner, A. M., & Hillenbrand, R.
- Venue
- Nature Communications
- Published
- 2013-12-04
- Volume
- 4
- Issue
- 1
- Pages
- 2890-2890
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2009783036
- Cited by
- 403
- References
- 1
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Structural analysis and mapping of individual protein complexes by infrared nanospectroscopy. https://app.cochat.ai/papers/10.1038/ncomms3890
- The paper
- Amenabar, I., Poly, S., Nuansing, W., Hubrich, E. H., Govyadinov, A. A., Huth, F., Krutokhvostov, R., Zhang, L., Knez, M., Heberle, J., Bittner, A. M., & Hillenbrand, R. (2013). Structural analysis and mapping of individual protein complexes by infrared nanospectroscopy. Nature Communications. https://doi.org/10.1038/ncomms3890
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.