Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published July 2023 | Published
Journal Article Open

Genomically mined acoustic reporter genes for real-time in vivo monitoring of tumors and tumor-homing bacteria

Abstract

Ultrasound allows imaging at a much greater depth than optical methods, but existing genetically encoded acoustic reporters for in vivo cellular imaging have been limited by poor sensitivity, specificity and in vivo expression. Here we describe two acoustic reporter genes (ARGs)—one for use in bacteria and one for use in mammalian cells—identified through a phylogenetic screen of candidate gas vesicle gene clusters from diverse bacteria and archaea that provide stronger ultrasound contrast, produce non-linear signals distinguishable from background tissue and have stable long-term expression. Compared to their first-generation counterparts, these improved bacterial and mammalian ARGs produce 9-fold and 38-fold stronger non-linear contrast, respectively. Using these new ARGs, we non-invasively imaged in situ tumor colonization and gene expression in tumor-homing therapeutic bacteria, tracked the progression of tumor gene expression and growth in a mouse model of breast cancer, and performed gene-expression-guided needle biopsies of a genetically mosaic tumor, demonstrating non-invasive access to dynamic biological processes at centimeter depth.

Additional Information

The authors would like to thank D. Newman for a sample of Streptomyces coelicolor A3(2) and Y. Li, A. Bar-Zion and H. (R.) Li for help with tissue histology. Electron microscopy was performed in the Beckman Institute Resource Center for Transmission Electron Microscopy at the California Institute of Technology. Mammalian cell sorting was performed at the Analytical Cytometry Core at City of Hope in Duarte, California. Confocal microscopy was performed in the Beckman Institute Biological Imaging Center. This research was supported by the National Institutes of Health (R01-EB018975 to M.G.S.) and the Pew Charitable Trust. R.C.H. was supported by the Caltech Center for Environmental Microbial Interactions. M.T.B. was supported by a National Science Foundation Graduate Research Fellowship Program fellowship. Related research in the Shapiro laboratory is supported by the David and Lucille Packard Foundation, the Burroughs Wellcome Fund, the Heritage Medical Research Institute and the Chan Zuckerberg Initiative. M.G.S. is an investigator of the Howard Hughes Medical Institute. These authors contributed equally: Robert C. Hurt, Marjorie T. Buss, Mengtong Duan. Contributions. R.C.H., M.T.B., M.D., K.W., M.B.S., P.D., Z.J., M.Y.Y., A.F. and R.D. planned and performed experiments. R.C.H. conceived and performed the phylogenetic screening experiments. M.T.B. and M.D. performed all in vivo experiments, with help from M.B.S and P.B.-L. P.D. and M.D. performed TEM imaging. D.R.M. built the ultrasound plate-scanning setup, and D.R.M. and D.P.S. wrote the associated MATLAB scripts for controlling it. Z.J. and D.P.S. wrote the MATLAB scripts for ultrasound imaging of EcN in vitro and in vivo. Z.J. performed the calibration of the L22-14v transducer. M.H.A. provided the Axe-Txe stability cassette and advised on tumor colonization experiments. R.C.H., M.T.B., M.D., D.P.S., P.D. and Z.J. analyzed data. R.C.H., M.T.B., M.D. and M.G.S. wrote the manuscript, with input from all other authors. M.G.S. supervised the research. Data availability. Plasmids will be made available through Addgene upon publication (https://www.addgene.org/Mikhail_Shapiro). All other materials and data are available from the corresponding author upon reasonable request. Genomic sequence information was downloaded from the NCBI sequence database via Batch Entrez (https://www.ncbi.nlm.nih.gov/sites/batchentrez). Source data are provided with this paper. Code availability. Ultrasound data acquisition and analysis code is available on the Shapiro laboratory GitHub at https://github.com/shapiro-lab. Competing interests. R.C.H., M.T.B., M.D., K.W., A.F., M.Y.Y. and M.G.S. are co-inventors on two patent applications related to this work that were filed by and assigned to the California Institute of Technology. The other authors declare no competing interests.

Copyright and License

© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Files

41587_2022_Article_1581.pdf
Files (20.3 MB)
Name Size Download all
md5:a1558cccfa06a62ea54275abdf6db479
9.0 kB Download
md5:6d3f72d4eab1e4214d46ed64f1a40e17
14.3 kB Download
md5:716750fe4b441c340543e2c38ac4e915
153.1 kB Download
md5:9939ed76c50c6bbb434e2f0bb08c697d
10.9 kB Download
md5:d80d8c19c8f1a2cfc3d35ad9524d0313
22.3 kB Download
md5:06610ac441f7a00d8fc858794afb23fa
11.9 kB Download
md5:1e98a45cac61ba62b1160d77347bbc44
19.7 MB Preview Download
md5:53cf25d09383c5898e280acc3e4bf51e
9.4 kB Download
md5:742baf6358d3c12709c077748ef7b9d6
11.0 kB Download
md5:1655545237591d6a33c7429ed4438701
107.9 kB Download
md5:081c261fbd35ba1d463e8d1877028a4b
16.5 kB Download
md5:9de43b5774d3b5942017a279ec55b90b
72.8 kB Download
md5:fd28cd38ccc4eb610f1b1589c9489b0e
45.0 kB Download
md5:a156d692c87c556cc334a9b1b6a72eef
18.5 kB Download
md5:70d22722c778f15851e869e0a6cc77bb
8.8 kB Download
md5:9bd6f7dc54f6f04a89223330550b147f
16.8 kB Download

Additional details

Created:
November 21, 2023
Modified:
November 21, 2023