CRISPR-Cas-amplified urinary biomarkers for multiplexed and portable cancer diagnostics
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Author
Hao, Liangliang
Zhao, Renee T.
Tan, Edward Kah Wei
Zhong, Qian
Harzallah, Nour Saida
Ngambenjawong, Chayanon
Ko, Henry
Fleming, Heather E.
Sabeti, Pardis C.
Bhatia, Sangeeta N.
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https://doi.org/10.1038/s41565-023-01372-9Metadata
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Hao, Liangliang, Renee T. Zhao, Nicole Welch, Edward Kah Wei Tan, Qian Zhong, Nour Saida Harzallah, Chayanon Ngambenjawong et al. "CRISPR-Cas-amplified urinary biomarkers for multiplexed and portable cancer diagnostics." Nat. Nanotechnol. 18, no. 7 (2023): 798-807. DOI: 10.1038/s41565-023-01372-9Abstract
Synthetic biomarkers, exogenous probes that generate molecular reporters, represent an emerging paradigm in precision diagnostics with applications across infectious and noncommunicable diseases. These methods use multiplexing strategies to provide tools that are both sensitive and specific. However, the field of synthetic biomarkers has not benefited from molecular strategies such as DNA-barcoding due to the susceptibility of nucleic acids in vivo. Herein, we exploit chemically-stabilized DNAs to tag synthetic biomarkers and produce diagnostic signals via CRISPR nucleases. Our strategy capitalizes on disease-associated, protease-activated release of nucleic acid barcodes and polymerase-amplification-free, CRISPR-Cas-mediated barcode detection in unprocessed biofluids. In murine cancer models, we show that these DNA-encoded nanosensors can noninvasively detect and monitor disease progression, and demonstrate that nuclease amplification can be harnessed to convert the readout to a point-of-care tool. This technique combines specificity with ease of use to offer a new platform to study human disease and guide therapeutic decisions.Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#PassThruCitable link to this page
https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37376732
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