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A genetically engineered phage-based nanomaterial for detecting bacteria with magnetic resonance imaging

Raymond E. Borg, Harun F. Ozbakir, Binzhi Xu, Eugene Li, Xiwen Fang, Huan Peng, View ORCID ProfileIrene A. Chen, View ORCID ProfileArnab Mukherjee
doi: https://doi.org/10.1101/2022.06.07.495091
Raymond E. Borg
1Department of Chemistry, University of California, Los Angeles, CA 90095, USA
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Harun F. Ozbakir
2Department of Chemical Engineering, University of California, Los Angeles, CA 90095, USA
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Binzhi Xu
3Biomolecular Science and Engineering, University of California, Los Angeles, CA 90095, USA
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Eugene Li
2Department of Chemical Engineering, University of California, Los Angeles, CA 90095, USA
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Xiwen Fang
2Department of Chemical Engineering, University of California, Los Angeles, CA 90095, USA
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Huan Peng
4Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, USA
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Irene A. Chen
4Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, USA
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  • ORCID record for Irene A. Chen
  • For correspondence: ireneachen@ucla.edu arnabm@ucsb.edu
Arnab Mukherjee
1Department of Chemistry, University of California, Los Angeles, CA 90095, USA
2Department of Chemical Engineering, University of California, Los Angeles, CA 90095, USA
5Biological Engineering, University of California, Los Angeles, CA 90095, USA
6Neuroscience Research Institute, University of California, Santa Barbara, CA 93106, USA
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  • ORCID record for Arnab Mukherjee
  • For correspondence: ireneachen@ucla.edu arnabm@ucsb.edu
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ABSTRACT

The ability to noninvasively detect bacteria at any depth inside opaque tissues has important applications ranging from infection diagnostics to tracking therapeutic microbes in their mammalian host. Current examples of probes for detecting bacteria with strain-type specificity are largely based on optical dyes, which cannot be used to examine bacteria in deep tissues due to the physical limitation of light scattering. Here, we describe a new biomolecular probe for visualizing bacteria in a cell-type specific fashion using magnetic resonance imaging (MRI). The probe is based on a peptide that selectively binds manganese and is attached in high numbers to the capsid of filamentous phage. By genetically engineering phage particles to display this peptide, we are able to bring manganese ions to specific bacterial cells targeted by the phage, thereby producing MRI contrast. We show that this approach allows MRI-based detection of targeted E. coli strains while discriminating against non-target bacteria as well as mammalian cells. By engineering the phage coat to display a protein that targets cell surface receptors in V. cholerae, we further show that this approach can be applied to image other bacterial targets with MRI. Finally, as a preliminary example of in vivo applicability, we demonstrate MR imaging of phage-labeled V. cholerae cells implanted subcutaneously in mice. The nanomaterial developed here thus represents a path towards noninvasive detection and tracking of bacteria by combining the programmability of phage architecture with the ability to produce three- dimensional images of biological structures at any arbitrary depth with MRI.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted June 07, 2022.
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A genetically engineered phage-based nanomaterial for detecting bacteria with magnetic resonance imaging
Raymond E. Borg, Harun F. Ozbakir, Binzhi Xu, Eugene Li, Xiwen Fang, Huan Peng, Irene A. Chen, Arnab Mukherjee
bioRxiv 2022.06.07.495091; doi: https://doi.org/10.1101/2022.06.07.495091
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A genetically engineered phage-based nanomaterial for detecting bacteria with magnetic resonance imaging
Raymond E. Borg, Harun F. Ozbakir, Binzhi Xu, Eugene Li, Xiwen Fang, Huan Peng, Irene A. Chen, Arnab Mukherjee
bioRxiv 2022.06.07.495091; doi: https://doi.org/10.1101/2022.06.07.495091

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