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Synthetic fluorescent probes for studying copper in biological systems
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This review surveys fluorescent probes for copper, emphasizing desirable criteria for their effective use for discovery and study of new metal biology.
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Copper transporter 2 regulates intracellular copper and sensitivity to cisplatin
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Self-citationA copper(i)-ion selective two-photon fluorescent probe for in vivo imaging
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3D imaging of transition metals in the zebrafish embryo by X-ray fluorescence microtomography
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Genetically Encoded Copper(I) Reporters with Improved Response for Use in Imaging
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Self-citationActivity‐Based Sensing: A Synthetic Methods Approach for Selective Molecular Imaging and Beyond
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Self-citation
Metadata
- Authors
- Cotruvo, Jr., Aron, A. T., Ramos-Torres, K. M., & Chang, C. J.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 44
- Issue
- 13
- Pages
- 4400-4414
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2013976474
- Cited by
- 558
- References
- 132
- FWCI
- 2.36
- 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.
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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.