The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
CRISPR/Cas13a‐Powered Electrochemical Microfluidic Biosensor for Nucleic Acid Amplification‐Free miRNA Diagnostics
Open accessAbstract
Noncoding small RNAs, such as microRNAs, are becoming the biomarkers of choice for multiple diseases in clinical diagnostics. A dysregulation of these microRNAs can be associated with many different diseases, such as cancer, dementia, and cardiovascular conditions. The key for effective treatment is an accurate initial diagnosis at an early stage, improving the patient's survival chances. In this work, the first clustered regularly interspaced short palindromic repeats (CRISPR)/Cas13a‐powered microfluidic, integrated electrochemical biosensor for the on‐site detection of microRNAs is introduced. Through this unique combination, the quantification of the potential tumor markers microRNA miR‐19b and miR‐20a is realized without any nucleic acid amplification. With a readout time of 9 min and an overall process time of less than 4 h, a limit of detection of 10 p m is achieved, using a measuring volume of less than 0.6 µL. Furthermore, the feasibility of the biosensor platform to detect miR‐19b in serum samples of children, suffering from brain cancer, is demonstrated. The validation of the obtained results with a standard quantitative real‐time polymerase chain reaction method shows the ability of the electrochemical CRISPR‐powered system to be a low‐cost, easily scalable, and target amplification‐free tool for nucleic acid based diagnostics.
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Cites
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
Azevedo, R. S. S., de Sousa, J. R., Araujo, M. T. F., Martins Filho, A. J., de Alcantara, B. N., Araujo, F. M. C., Queiroz, M. G. L., Cruz, A. C. R., Vasconcelos, B. H. B., Chiang, J. O., et al. (2018) · Scientific Reports · doi:10.1038/s41598-017-17765-5 · Cited by 3,478
RNA targeting with CRISPR–Cas13
Abudayyeh, O. O., Gootenberg, J. S., Essletzbichler, P., Han, S., Joung, J., Belanto, J. J., Verdine, V., Cox, D. B. T., Kellner, M. J., Regev, A., et al. (2017) · Nature · doi:10.1038/nature24049 · Cited by 2,093
Cited by
End-to-end design of wearable sensors
Ates, H. C., Nguyen, P. Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J. J., & Dincer, C. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00460-x · Cited by 1,306
Self-citationKaminski, 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
A one-pot isothermal Cas12-based assay for the sensitive detection of microRNAs
Yan, H., Wen, Y., Tian, Z., Hart, N., Han, S., Hughes, S. J., & Zeng, Y. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01033-1 · Cited by 361
Amplification-free CRISPR/Cas detection technology: challenges, strategies, and perspectives
Li, H., Xie, Y., Chen, F., Bai, H., Xiu, L., Zhou, X., Guo, X., Hu, Q., & Yin, K. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00594h · Cited by 346
Tian, T., Shu, B., Jiang, Y., Ye, M., Liu, L., Guo, Z., Han, Z., Wang, Z., & Zhou, X. (2021) · ACS Nano · doi:10.1021/acsnano.0c08165 · Cited by 328
Metadata
- Authors
- Bruch, R., Baaske, J., Chatelle, C., Meirich, M., Madlener, S., Weber, W., Dincer, C., & Urban, G. A.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-10-30
- Volume
- 31
- Issue
- 51
- Pages
- e1905311-e1905311
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2982454227
- Cited by
- 449
- References
- 3
- FWCI
- 15.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Bruch, R., Baaske, J., Chatelle, C., Meirich, M., Madlener, S., Weber, W., Dincer, C., & Urban, G. A. (2019). CRISPR/Cas13a‐Powered Electrochemical Microfluidic Biosensor for Nucleic Acid Amplification‐Free miRNA Diagnostics. Advanced Materials. https://doi.org/10.1002/adma.201905311
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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