Calcium-Sensitive MRI Contrast Agents Based on Superparamagnetic Iron Oxide Nanoparticles and Calmodulin

We describe a family of calcium indicators for magnetic resonance imaging (MRI), formed by combining a powerful iron oxide nanoparticle-based contrast mechanism with the versatile calciumsensing protein calmodulin and its targets. Calcium-dependent protein-protein interactions drive particle cluster...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 103; no. 40; pp. 14707 - 14712
Main Authors Atanasijevic, Tatjana, Shusteff, Maxim, Fam, Peter, Jasanoff, Alan
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 03.10.2006
National Acad Sciences
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Summary:We describe a family of calcium indicators for magnetic resonance imaging (MRI), formed by combining a powerful iron oxide nanoparticle-based contrast mechanism with the versatile calciumsensing protein calmodulin and its targets. Calcium-dependent protein-protein interactions drive particle clustering and produce up to 5-fold changes in T2 relaxivity, an indication of the sensors' potency. A variant based on conjugates of wild-type calmodulin and the peptide M13 reports concentration changes near 1 μM$Ca^{2+}$, suitable for detection of elevated intracellular calcium levels. The midpoint and cooperativity of the response can be tuned by mutating the protein domains that actuate the sensor. Robust MRI signal changes are achieved even at nanomolar particle concentrations (<1 μM in calmodulin) that are unlikely to buffer calcium levels. When combined with technologies for cellular delivery of nanoparticulate agents, these sensors and their derivatives may be useful for functional molecular imaging of biological signaling networks in live, opaque specimens.
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Communicated by Phillip A. Sharp, Massachusetts Institute of Technology, Cambridge, MA, August 7, 2006
Author contributions: A.J. designed research; T.A., M.S., and A.J. performed research; P.F. contributed new reagents/analytic tools; T.A. and A.J. analyzed data; and A.J. wrote the paper.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.0606749103