The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Water-soluble porphyrins as a dual-function molecular imaging platform for MRI and fluorescence zinc sensing
Open accessAbstract
We report a molecular platform for dual-function fluorescence/MRI sensing of mobile zinc. Zinc-selective binding units were strategically attached to a water-soluble porphyrin template. The synthetic strategy for achieving the designed target ligand is flexible and convenient, and the key intermediates can be applied as general building blocks for the construction of other metal sensors based on a similar mechanism. The metal-free form, (DPA-C 2 ) 2 -TPPS 3 ( 1 ), where DPA is dipicolylamine and TPPS 3 is 5-phenyl-10,15,20-tris(4-sulfonatophenyl)porphine, is an excellent fluorescent sensor for zinc. It has certain superior physical properties compared with earlier-generation zinc sensors including emission in the red and near-IR regions [λ em = 645 nm (s) and 715 nm (m)], with a large Stokes shift of >230 nm. The fluorescence intensity of 1 increases by >10-fold upon zinc binding. The fluorescence “turn-on” is highly selective for zinc versus other divalent metal ions and is relatively pH-insensitive within the biologically relevant pH window. The manganese derivative, [(DPA-C 2 ) 2 -TPPS 3 Mn(III)] ( 2 ), switches the function of the molecule to generate an MRI contrast agent. In the presence of zinc, the relaxivity of 2 in aqueous solution is significantly altered, which makes it a promising zinc MRI sensor. Both metal-free and Mn(III)-inserted forms are efficiently taken up by live cells, and the intracellular zinc can be imaged by either fluorescence or MR, respectively. We anticipate that in vivo applications of the probes will facilitate a deeper understanding of the physiological roles of zinc and allow detection of abnormal zinc homeostasis for pathological diagnoses.
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
Femtomolar Sensitivity of Metalloregulatory Proteins Controlling Zinc Homeostasis
Outten, C. E., & O'Halloran, A. T. V. (2001) · Science · doi:10.1126/science.1060331 · Cited by 1,489
Zinc deficiency, DNA damage and cancer risk
Ho, E. (2004) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2004.07.005 · Cited by 518
Cited by
Multimodality Imaging Probes: Design and Challenges
Louie, A. (2010) · Chemical Reviews · doi:10.1021/cr9003538 · Cited by 1,044
Ge, Z., & Liu, S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60048c · Cited by 914
Small-Molecule Fluorescent Sensors for Investigating Zinc Metalloneurochemistry
Nolan, E. M., & Lippard, S. J. (2009) · Accounts of Chemical Research · doi:10.1021/ar8001409 · Cited by 620
Self-citationZhao, Y., Zhang, X.-B., Han, Z.-X., Qiao, L., Li, C.-Y., Jian, L.-X., Shen, G.-L., & Yu, R.-Q. (2009) · Analytical Chemistry · doi:10.1021/ac901127n · Cited by 455
Self-citation‘Two is better than one’—probes for dual-modality molecular imaging
Jennings, L. E., & Long, N. J. (2009) · Chemical Communications · doi:10.1039/b821903f · Cited by 438
Metadata
- Authors
- Zhang, X.-A., Lovejoy, K. S., Jasanoff, A., & Lippard, S. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-06-26
- Volume
- 104
- Issue
- 26
- Pages
- 10780-10785
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2162736637
- Cited by
- 294
- References
- 2
- FWCI
- 8.28
- 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: Water-soluble porphyrins as a dual-function molecular imaging platform for MRI and fluorescence zinc sensing. https://app.cochat.ai/papers/10.1073/pnas.0702393104
- The paper
- Zhang, X.-A., Lovejoy, K. S., Jasanoff, A., & Lippard, S. J. (2007). Water-soluble porphyrins as a dual-function molecular imaging platform for MRI and fluorescence zinc sensing. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0702393104
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.