Acoustically modulated magnetic resonance imaging of gas-filled protein nanostructures
Abstract
Non-invasive biological imaging requires materials capable of interacting with deeply penetrant forms of energy such as magnetic fields and sound waves. Here, we show that gas vesicles (GVs), a unique class of gas-filled protein nanostructures with differential magnetic susceptibility relative to water, can produce robust contrast in magnetic resonance imaging (MRI) at sub-nanomolar concentrations, and that this contrast can be inactivated with ultrasound in situ to enable background-free imaging. We demonstrate this capability in vitro, in cells expressing these nanostructures as genetically encoded reporters, and in three model in vivo scenarios. Genetic variants of GVs, differing in their magnetic or mechanical phenotypes, allow multiplexed imaging using parametric MRI and differential acoustic sensitivity. Additionally, clustering-induced changes in MRI contrast enable the design of dynamic molecular sensors. By coupling the complementary physics of MRI and ultrasound, this nanomaterial gives rise to a distinct modality for molecular imaging with unique advantages and capabilities.
Additional Information
© 2018 Macmillan Publishers. Received: 15 July 2016. Accepted: 17 January 2018. Published online: 26 February 2018. We acknowledge Arnab Mukherjee, Pradeep Ramesh, Hunter Davis, Russell Jacobs, Xiaowei Zhang and Michael Tyszka for helpful discussions. A.F. acknowledges financial support from the Natural Sciences and Engineering Research Council of Canada. A.L. acknowledges financial support from National Science Foundation. This project was supported by the National Institutes of Health (grant EB018975). M.G.S. also acknowledges funding from the Dana Foundation, the Burroughs Wellcome Career Award at the Scientific Interface, the Packard Fellowship in Science and Engineering and the Heritage Medical Research Institute. Author Contributions: G.J.L. and M.G.S. conceived the study. G.J.L., A.F. and J.O.S., A.L.G. and M.G.S. designed, planned and carried out the experiments and analysed data. S.B. provided software for QSM analysis. A.L. and R.W.B. provided reagents. All authors discussed the results. G.J.L. and M.G.S. wrote the manuscript with input from all authors. All authors have given approval to the final version of the manuscript. Further information on experimental design is available in the Life Sciences Reporting Summary. Data and materials availability: Raw data, GVs and genetic constructs are available upon request to the authors. MATLAB scripts for Monte Carlo simulations are available at http://shapirolab.caltech.edu/?page_id=525. The authors declare no competing financial interests.Attached Files
Accepted Version - nihms935635.pdf
Supplemental Material - 41563_2018_23_MOESM1_ESM.pdf
Supplemental Material - 41563_2018_23_MOESM2_ESM.pdf
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Additional details
- PMCID
- PMC6015773
- Eprint ID
- 83937
- DOI
- 10.1038/s41563-018-0023-7
- Resolver ID
- CaltechAUTHORS:20171215-092640151
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- NSF
- NIH
- EB018975
- Dana Foundation
- Burroughs Wellcome Fund
- David and Lucile Packard Foundation
- Heritage Medical Research Institute
- Created
-
2018-02-26Created from EPrint's datestamp field
- Updated
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2022-03-15Created from EPrint's last_modified field
- Caltech groups
- Heritage Medical Research Institute