Target-responsive vasoactive probes for ultrasensitive molecular imaging
Name
s41467-020-16118-7.pdf
Description
Published version
Size
1.55 MB
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Unknown
Checksum (MD5)
adce16a1f9e5cfb3498e01df05e37f5c
Author(s)
Ohlendorf, Robert
Wiśniowska, Agata
Desai, Mitul
Barandov, Ali
Slusarczyk, Adrian L
Li, Nan
Jasanoff, Alan
Date Issued
April 2020
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Ohlendorf, Robert, Wiśniowska, Agata, Desai, Mitul, Barandov, Ali, Slusarczyk, Adrian L et al. 2020. "Target-responsive vasoactive probes for ultrasensitive molecular imaging." Nature Communications, 11 (1).
Version
Final published version
Abstract
© 2020, The Author(s). The ability to monitor molecules volumetrically throughout the body could provide valuable biomarkers for studies of healthy function and disease, but noninvasive detection of molecular targets in living subjects often suffers from poor sensitivity or selectivity. Here we describe a family of potent imaging probes that can be activated by molecules of interest in deep tissue, providing a basis for mapping nanomolar-scale analytes without the radiation or heavy metal content associated with traditional molecular imaging agents. The probes are reversibly caged vasodilators that induce responses detectable by hemodynamic imaging; they are constructed by combining vasoactive peptides with synthetic chemical appendages and protein blocking domains. We use this architecture to create ultrasensitive biotin-responsive imaging agents, which we apply for wide-field mapping of targets in rat brains using functional magnetic resonance imaging. We also adapt the sensor design for detecting the neurotransmitter dopamine, illustrating versatility of this approach for addressing biologically important molecules.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41467-020-16118-7
