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Functional DNA Regulated CRISPR-Cas12a Sensors for Point-of-Care Diagnostics of Non-Nucleic-Acid Targets
Open accessAbstract
Beyond its extraordinary genome editing ability, the CRISPR-Cas systems have opened a new era of biosensing applications due to its high base resolution and isothermal signal amplification. However, the reported CRISPR-Cas sensors are largely only used for the detection of nucleic acids with limited application for non-nucleic-acid targets. To realize the full potential of the CRISPR-Cas sensors and broaden their applications for detection and quantitation of non-nucleic-acid targets, we herein report CRISPR-Cas12a sensors that are regulated by functional DNA (fDNA) molecules such as aptamers and DNAzymes that are selective for small organic molecule and metal ion detection. The sensors are based on the Cas12a-dependent reporter system consisting of Cas12a, CRISPR RNA (crRNA), and its single-stranded DNA substrate labeled with a fluorophore and quencher at each end (ssDNA-FQ), and fDNA molecules that can lock a DNA activator for Cas12a-crRNA, preventing the ssDNA cleavage function of Cas12a in the absence of the fDNA targets. The presence of fDNA targets can trigger the unlocking of the DNA activator, which can then activate the cleavage of ssDNA-FQ by Cas12a, resulting in an increase of the fluorescent signal detectable by commercially available portable fluorimeters. Using this method, ATP and Na + have been detected quantitatively under ambient temperature (25 °C) using a simple and fast detection workflow (two steps and <15 min), making the fDNA-regulated CRISPR system suitable for field tests or point-of-care diagnostics. Since fDNAs can be obtained to recognize a wide range of targets, the methods demonstrated here can expand this powerful CRISPR-Cas sensor system significantly to many other targets and thus provide a new toolbox to significantly expand the CRISPR-Cas system into many areas of bioanalytical and biomedical applications.
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Cites
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity
Chen, J. S., Ma, E., Harrington, L. B., Da Costa, M., Tian, X., Palefsky, J. M., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aar6245 · Cited by 4,507
Nucleic acid detection with CRISPR-Cas13a/C2c2
Gootenberg, J. S., Abudayyeh, O. O., Lee, J. W., Essletzbichler, P., Dy, A. J., Joung, J., Verdine, V., Donghia, N., Daringer, N. M., Freije, C. A., et al. (2017) · Science · doi:10.1126/science.aam9321 · Cited by 3,844
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696
Multiplexed and portable nucleic acid detection platform with Cas13, Cas12a, and Csm6
Gootenberg, J. S., Abudayyeh, O. O., Kellner, M. J., Joung, J., Collins, J. J., & Zhang, F. (2018) · Science · doi:10.1126/science.aaq0179 · Cited by 2,638
Functional Nucleic Acid Sensors
Liu, J., Cao, Z., & Lu, Y. (2009) · Chemical Reviews · doi:10.1021/cr030183i · Cited by 2,187
Self-citationField-deployable viral diagnostics using CRISPR-Cas13
Myhrvold, C., Freije, C. A., Gootenberg, J. S., Abudayyeh, O. O., Metsky, H. C., Durbin, A. F., Kellner, M. J., Tan, A. L., Paul, L. M., Parham, L. A., et al. (2018) · Science · doi:10.1126/science.aas8836 · Cited by 1,444
Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components
Pardee, K., Green, A. A., Takahashi, M. K., Braff, D., Lambert, G., Lee, J. W., Ferrante, T., Ma, D., Donghia, N., Fan, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.04.059 · Cited by 1,439
Two distinct RNase activities of CRISPR-C2c2 enable guide-RNA processing and RNA detection
East-Seletsky, A., O’Connell, M. R., Knight, S. C., Burstein, D., Cate, J. H. D., Tjian, R., & Doudna, J. A. (2016) · Nature · doi:10.1038/nature19802 · Cited by 1,236
Structure-Switching Signaling Aptamers
Nutiu, R., & Li, Y. (2003) · Journal of the American Chemical Society · doi:10.1021/ja028962o · Cited by 1,040
Electrochemical Methods for the Analysis of Clinically Relevant Biomolecules
Labib, M., Sargent, E. H., & Kelley, S. O. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00220 · Cited by 976
Using personal glucose meters and functional DNA sensors to quantify a variety of analytical targets
Xiang, Y., & Lu, Y. (2011) · Nature Chemistry · doi:10.1038/nchem.1092 · Cited by 677
Self-citationFunctional nucleic acid-based hydrogels for bioanalytical and biomedical applications
Li, J., Mo, L., Lu, C.-H., Fu, T., Yang, H.-H., & Tan, W. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00586h · Cited by 520
Liang, M., Li, Z., Wang, W., Liu, J., Liu, L., Zhu, G., Karthik, L., Wang, M., Wang, K.-F., Wang, Z., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11648-1 · Cited by 430
Self-citationYang, X., Tang, Q., Jiang, Y., Zhang, M., Wang, M., & Mao, L. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b11996 · Cited by 403
Programmable CRISPR-responsive smart materials
English, M. A., Soenksen, L. R., Gayet, R. V., de Puig, H., Angenent-Mari, N. M., Mao, A. S., Nguyen, P. Q., & Collins, J. J. (2019) · Science · doi:10.1126/science.aaw5122 · Cited by 356
In vitro selection of a sodium-specific DNAzyme and its application in intracellular sensing
Torabi, S.-F., Wu, P., McGhee, C. E., Chen, L., Hwang, K., Zheng, N., Cheng, J., & Lu, Y. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420361112 · Cited by 347
Self-citationLin, C. H., & Patei, D. J. (1997) · Chemistry & Biology · doi:10.1016/s1074-5521(97)90115-0 · Cited by 339
Chang, X., Zhang, C., Lv, C., Sun, Y., Zhang, M., Zhao, Y., Yang, L., Han, D., & Tan, W. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b05470 · Cited by 312
Concept and Development of Framework Nucleic Acids
Ge, Z., Gu, H., Li, Q., & Fan, C. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b10529 · Cited by 306
Optical Control of CRISPR/Cas9 Gene Editing
Hemphill, J., Borchardt, E. K., Brown, K., Asokan, A., & Deiters, A. (2015) · Journal of the American Chemical Society · doi:10.1021/ja512664v · Cited by 269
Yang, Z., Loh, K. Y., Chu, Y.-T., Feng, R., Satyavolu, N. S. R., Xiong, M., Nakamata Huynh, S. M., Hwang, K., Li, L., Xing, H., et al. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b09867 · Cited by 252
Self-citationImaging Endogenous Metal Ions in Living Cells Using a DNAzyme–Catalytic Hairpin Assembly Probe
Wu, Z., Fan, H., Satyavolu, N. S. R., Wang, W., Lake, R., Jiang, J., & Lu, Y. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201703540 · Cited by 230
Self-citationWang, L., Yuan, L., Zeng, X., Peng, J., Ni, Y., Er, J. C., Xu, W., Agrawalla, B. K., Su, D., Kim, B., et al. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201510003 · Cited by 218
Shan, Y., Zhou, X., Huang, R., & Xing, D. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b00073 · Cited by 209
Li, L., Xing, H., Zhang, J., & Lu, Y. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.9b00167 · Cited by 204
Self-citationControlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs
Kundert, K., Lucas, J. E., Watters, K. E., Fellmann, C., Ng, A. H., Heineike, B. M., Fitzsimmons, C. M., Oakes, B. L., Qu, J., Prasad, N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09985-2 · Cited by 189
Wang, L., Liang, H., Sun, J., Liu, Y., Li, J., Li, J., Li, J., & Yang, H. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b05123 · Cited by 161
Zhang, K., Deng, R., Teng, X., Li, Y., Sun, Y., Ren, X., & Li, J. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b05309 · Cited by 147
Protospacer Adjacent Motif-Induced Allostery Activates CRISPR-Cas9
Palermo, G., Ricci, C. G., Fernando, A., Basak, R., Jínek, M., Rivalta, I., Batista, V. S., & McCammon, J. A. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b05313 · Cited by 140
Bioapplications of DNA nanotechnology at the solid–liquid interface
Wang, W., Yu, S., Huang, S., Bi, S., Han, H., Zhang, J., Lu, Y., & Zhu, J. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00402a · Cited by 103
Self-citationZhang, J., Xing, H., & Lu, Y. (2018) · Chemical Science · doi:10.1039/c7sc05325h · Cited by 94
Self-citationIn Vitro Selection of Circular DNA Aptamers for Biosensing Applications
Liu, M., Yin, Q., Chang, Y., Zhang, Q., Brennan, J. D., & Li, Y. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201901192 · Cited by 93
Zhang, J., & Lu, Y. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201804292 · Cited by 87
Self-citationHyponatremia and hypernatremia: disorders of water balance.
Agrawal, V., Agarwal, M., Joshi, S., & Ghosh, A. K. (2008) · PubMed · Cited by 72
N 1-Methyladenosine detection with CRISPR-Cas13a/C2c2
Chen, Y., Yang, S., Peng, S., Li, W., Wu, F., Yao, Q., Wang, F., Weng, X., & Zhou, X. (2019) · Chemical Science · doi:10.1039/c8sc03408g · Cited by 67
Molecular Engineering of Functional Nucleic Acid Nanomaterials toward In Vivo Applications
Zhang, J., Lan, T., & Lu, Y. (2019) · Advanced Healthcare Materials · doi:10.1002/adhm.201801158 · Cited by 64
Self-citationSpecific Inhibition of MicroRNA Processing Using l -RNA Aptamers
Sczepanski, J. T., & Joyce, G. F. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b06696 · Cited by 49
CRISPR propels a smart hydrogel
Han, D., Li, J., & Tan, W. (2019) · Science · doi:10.1126/science.aay4198 · Cited by 29
Raper, A. T., Stephenson, A. A., & Suo, Z. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b05469 · Cited by 19
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Kaminski, M. M., Abudayyeh, O. O., Gootenberg, J. S., Zhang, F., & Collins, J. J. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00760-7 · Cited by 1,259
CRISPR-Cas12a-Derived Photoelectrochemical Biosensor for Point-Of-Care Diagnosis of Nucleic Acid
Zeng, R., Gong, H., Li, Y., Li, Y., Lin, W., Tang, D., & Knopp, D. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c01373 · Cited by 404
Feng, W., Newbigging, A. M., Tao, J., Cao, Y., Peng, H., Le, C., Wu, J., Pang, B., Li, J., Tyrrell, D. L., et al. (2021) · Chemical Science · doi:10.1039/d0sc06973f · Cited by 312
CRISPR-Driven Biosensors: A New Frontier in Rapid and Accurate Disease Detection
Razavi, Z., Soltani, M., Souri, M., & Pazoki-Toroudi, H. (2026) · Critical Reviews in Analytical Chemistry · doi:10.1080/10408347.2024.2400267 · Cited by 45
Metadata
- Authors
- Xiong, Y., Zhang, J., Yang, Z., Mou, Q., Ma, Y., Xiong, Y., & Lu, Y.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-12-04
- Volume
- 142
- Issue
- 1
- Pages
- 207-213
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2992478910
- Cited by
- 689
- References
- 40
- FWCI
- 18.19
- Type
- journal article
- Language
- en
- Open access
- green
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