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Engineering acoustic biomolecules as dynamic molecular sensors for ultrasound

Lakshmanan, Anupama and Nety, Suchita P. and Maresca, David and Shapiro, Mikhail G. (2017) Engineering acoustic biomolecules as dynamic molecular sensors for ultrasound. In: 2017 IEEE International Ultrasonics Symposium (IUS). IEEE , Piscataway, NJ. ISBN 978-1-5386-3383-0.

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Ultrasound is currently limited in its ability to image dynamic molecular and cellular processes due to the lack of appropriate contrast agents. Gas Vesicles (GVs) - hollow protein nanostructures isolated from buoyant microbes, have emerged as a new class of nanoscale imaging agents for ultrasound (Shapiro et al., Nat. Nano. 2014). The genetic encodability of these acoustic biomolecules provides a unique platform for engineering mechanical and functional properties at the protein level. Recently, we demonstrated that removal or sequence modification of a key GV shell protein results in nanostructures with enhanced non-linear contrast as well as tunable collapse pressures for multiplexed imaging (Lakshmanan et al., ACS Nano 2016; Maresca et al., Appl. Phys. Lett. 2017). Now, we extend this platform to engineer GVs whose ultrasound signals change dynamically in response to the activity of specific molecules in their environment. In particular, we set out to produce GVs that change their non-linear ultrasound contrast in response to specific proteases, an important class of enzymes underlying homeostatic and disease processes and a target of drug discovery.

Item Type:Book Section
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URLURL TypeDescription
Lakshmanan, Anupama0000-0002-6702-837X
Maresca, David0000-0002-4921-6406
Shapiro, Mikhail G.0000-0002-0291-4215
Additional Information:© 2017 IEEE.
Record Number:CaltechAUTHORS:20180109-145625927
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Official Citation:A. Lakshmanan, S. P. Nety, D. Maresca and M. G. Shapiro, "Engineering acoustic biomolecules as dynamic molecular sensors for ultrasound," 2017 IEEE International Ultrasonics Symposium (IUS), Washington, DC, 2017, pp. 1-1. doi: 10.1109/ULTSYM.2017.8092227. URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84198
Deposited By: Tony Diaz
Deposited On:09 Jan 2018 23:09
Last Modified:15 Nov 2021 20:17

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