The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Non-invasive intravital imaging of cellular differentiation with a bright red-excitable fluorescent protein
Open accessAbstract
A method for non-invasive visualization of genetically labeled cells in animal disease models with micrometer-level resolution would greatly facilitate development of cell-based therapies. Imaging of fluorescent proteins (FPs) using red excitation light in the 'optical window' above 600 nm is one potential method for visualizing implanted cells. However, previous efforts to engineer FPs with peak excitation beyond 600 nm have resulted in undesirable reductions in brightness. Here we report three new red-excitable monomeric FPs obtained by structure-guided mutagenesis of mNeptune. Two of these, mNeptune2 and mNeptune2.5, demonstrate improved maturation and brighter fluorescence than mNeptune, whereas the third, mCardinal, has a red-shifted excitation spectrum without reduction in brightness. We show that mCardinal can be used to non-invasively and longitudinally visualize the differentiation of myoblasts into myocytes in living mice with high anatomical detail.
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
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
Phaser crystallographic software
McCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C., & Read, R. J. (2007) · Journal of Applied Crystallography · doi:10.1107/s0021889807021206 · Cited by 20,612
Kabsch, W. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909047337 · Cited by 16,463
Brunk, U. T., & Terman, A. (2002) · Free Radical Biology and Medicine · doi:10.1016/s0891-5849(02)00959-0 · Cited by 919
Self-renewal and expansion of single transplanted muscle stem cells
Sacco, A., Doyonnas, R., Kraft, P., Vitorovic, S., & Blau, H. M. (2008) · Nature · doi:10.1038/nature07384 · Cited by 901
Self-citationCell and tissue autofluorescence research and diagnostic applications
Monici, M. (2005) · Biotechnology Annual Review · doi:10.1016/s1387-2656(05)11007-2 · Cited by 887
Improving FRET dynamic range with bright green and red fluorescent proteins
Lam, A. J., St-Pierre, F., Gong, Y., Marshall, J. D., Cranfill, P. J., Baird, M. A., McKeown, M. R., Wiedenmann, J., Davidson, M. W., Schnitzer, M. J., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2171 · Cited by 732
Self-citationEngineering a stem cell house into a home
Gilbert, P. M., & Blau, H. M. (2011) · Stem Cell Research & Therapy · doi:10.1186/scrt44 · Cited by 43
Self-citation
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
Chu, J., Oh, Y., Sens, A., Ataie, N., Dana, H., Macklin, J. J., Laviv, T., Welf, E. S., Dean, K. M., Zhang, F., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3550 · Cited by 293
Self-citationA highly photostable and bright green fluorescent protein
Hirano, M., Ando, R., Shimozono, S., Sugiyama, M., Takeda, N., Kurokawa, H., Deguchi, R., Endo, K., Haga, K., Takai-Todaka, R., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01278-2 · Cited by 293
Identification of the gene that codes for the σ 2 receptor
Alon, A., Schmidt, H. R., Wood, M. D., Sahn, J. J., Martin, S. F., & Kruse, A. C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705154114 · Cited by 267
Spatiotemporal regulation of liquid-like condensates in epigenetic inheritance
Wan, G., Fields, B. D., Spracklin, G., Shukla, A., Phillips, C. M., & Kennedy, S. (2018) · Nature · doi:10.1038/s41586-018-0132-0 · Cited by 207
Clayton, D. F., Anreiter, I., Aristizabal, M., Frankland, P. W., Binder, E. B., & Citri, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820837116 · Cited by 56
Metadata
- Authors
- Chu, J., Haynes, R. D., Corbel, S. Y., Li, P., González-González, E., Burg, J. S., Ataie, N. J., Lam, A. J., Cranfill, P. J., Baird, M. A., Davidson, M. W., Ng, H.-L., Garcia, K. C., Contag, C. H., Shen, K., Blau, H. M., & Lin, M. Z.
- Venue
- Nature Methods
- Published
- 2014-03-16
- Volume
- 11
- Issue
- 5
- Pages
- 572-578
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2163017334
- Cited by
- 230
- References
- 8
- FWCI
- 12.29
- 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.