The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Responsive magnetic resonance imaging contrast agents as chemical sensors for metals in biology and medicine
Abstract
This tutorial review highlights progress in the development of responsive magnetic resonance imaging (MRI) contrast agents for detecting and sensing biologically relevant metal ions. Molecular imaging with bioactivatable MRI indicators offers a potentially powerful methodology for studying the physiology and pathology of metals by capturing dynamic three-dimensional images of living systems for research and clinical applications. This emerging area at the interface of inorganic chemistry and the life sciences offers a broad palette of opportunities for researchers with interests ranging from coordination chemistry and spectroscopy to supramolecular chemistry and molecular recognition to metals in biology and medicine.
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Cites
The versatility and universality of calcium signalling
Berridge, M. J., Lipp, P., & Bootman, M. D. (2000) · Nature Reviews Molecular Cell Biology · doi:10.1038/35036035 · Cited by 5,701
Gadolinium(III) Chelates as MRI Contrast Agents: Structure, Dynamics, and Applications
Caravan, P., Ellison, J. J., McMurry, T. J., & Lauffer, R. B. (1999) · Chemical Reviews · doi:10.1021/cr980440x · Cited by 4,483
Relaxation Processes in a System of Two Spins
Solomon, I. (1955) · Physical Review · doi:10.1103/physrev.99.559 · Cited by 3,278
Metals in Neurobiology: Probing Their Chemistry and Biology with Molecular Imaging
Que, E. L., Domaille, D. W., & Chang, C. J. (2008) · Chemical Reviews · doi:10.1021/cr078203u · Cited by 2,061
Self-citationThe neurobiology of zinc in health and disease
Frederickson, C. J., Koh, J.-Y., & Bush, A. I. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1671 · Cited by 1,850
Iron, brain ageing and neurodegenerative disorders
Zecca, L., Youdim, M. B. H., Riederer, P., Connor, J. R., & Crichton, R. R. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1537 · Cited by 1,801
Proton Relaxation Times in Paramagnetic Solutions. Effects of Electron Spin Relaxation
Bloembergen, N., & Morgan, L. O. (1961) · The Journal of Chemical Physics · doi:10.1063/1.1731684 · Cited by 1,348
Synthetic fluorescent sensors for studying the cell biology of metals
Domaille, D. W., Que, E. L., & Chang, C. J. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.69 · Cited by 1,081
Self-citationProton Relaxation Times in Paramagnetic Solutions
Bloembergen, N. (1957) · The Journal of Chemical Physics · doi:10.1063/1.1743771 · Cited by 1,056
The Role of Copper in Neurodegenerative Disease
Waggoner, D. J., Bartnikas, T. B., & Gitlin, J. D. (1999) · Neurobiology of Disease · doi:10.1006/nbdi.1999.0250 · Cited by 863
Cited by
Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy
Pham, T. C., Nguyen, V.-N., Choi, Y., Lee, S., & Yoon, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00381 · Cited by 1,813
Imaging mobile zinc in biology
Tomat, E., & Lippard, S. J. (2010) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2009.12.010 · Cited by 217
Metadata
- Authors
- Que, E. L., & Chang, C. J.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 39
- Issue
- 1
- Pages
- 51-60
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2079624831
- Cited by
- 263
- References
- 33
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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