The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A naturally monomeric infrared fluorescent protein for protein labeling in vivo
Open accessAbstract
Infrared fluorescent proteins (IFPs) provide an additional color to GFP and its homologs in protein labeling. Drawing on structural analysis of the dimer interface, we identified a bacteriophytochrome in the sequence database that is monomeric in truncated form and engineered it into a naturally monomeric IFP (mIFP). We demonstrate that mIFP correctly labels proteins in live cells, Drosophila and zebrafish. It should be useful in molecular, cell and developmental biology.
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
Shaner, N. C., Campbell, R. E., Steinbach, P. A., Giepmans, B. N. G., Palmer, A. E., & Tsien, R. Y. (2004) · Nature Biotechnology · doi:10.1038/nbt1037 · Cited by 4,619
Cited by
Bright monomeric near-infrared fluorescent proteins as tags and biosensors for multiscale imaging
Shcherbakova, D. M., Baloban, M., Emelyanov, A. V., Brenowitz, M., Guo, P., & Verkhusha, V. V. (2016) · Nature Communications · doi:10.1038/ncomms12405 · Cited by 312
Near-Infrared Fluorescent Proteins, Biosensors, and Optogenetic Tools Engineered from Phytochromes
Chernov, K. G., Redchuk, T. A., Omelina, E. S., & Verkhusha, V. V. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00700 · Cited by 264
Chen, M., Feng, Z., Fan, X., Sun, J., Geng, W., Wu, T., Sheng, J., Qian, J., & Xu, Z. (2022) · Nature Communications · doi:10.1038/s41467-022-34274-w · Cited by 57
Metadata
- Authors
- Yu, D., Baird, M. A., Allen, J. R., Howe, E. S., Klassen, M. P., Reade, A., Makhijani, K., Song, Y., Liu, S., Murthy, Z., Zhang, S.-Q., Weiner, O. D., Kornberg, T. B., Jan, Y.-N., Davidson, M. W., & Shu, X.
- Venue
- Nature Methods
- Published
- 2015-06-22
- Volume
- 12
- Issue
- 8
- Pages
- 763-765
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2194418093
- Cited by
- 168
- References
- 1
- FWCI
- 9.20
- 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: A naturally monomeric infrared fluorescent protein for protein labeling in vivo. https://app.cochat.ai/papers/10.1038/nmeth.3447
- The paper
- Yu, D., Baird, M. A., Allen, J. R., Howe, E. S., Klassen, M. P., Reade, A., Makhijani, K., Song, Y., Liu, S., Murthy, Z., Zhang, S.-Q., Weiner, O. D., Kornberg, T. B., Jan, Y.-N., Davidson, M. W., & Shu, X. (2015). A naturally monomeric infrared fluorescent protein for protein labeling in vivo. Nature Methods. https://doi.org/10.1038/nmeth.3447
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.
