The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
An Ultralocalized Cas13a Assay Enables Universal and Nucleic Acid Amplification-Free Single-Molecule RNA Diagnostics
Abstract
Existing methods for RNA diagnostics, such as reverse transcription PCR (RT-PCR), mainly rely on nucleic acid amplification (NAA) and RT processes, which are known to introduce substantial issues, including amplification bias, cross-contamination, and sample loss. To address these problems, we introduce a confinement effect-inspired Cas13a assay for single-molecule RNA diagnostics, eliminating the need for NAA and RT. This assay involves confining the RNA-triggered Cas13a catalysis system in cell-like-sized reactors to enhance local concentrations of target and reporter simultaneously, via droplet microfluidics. It achieves >10 000-fold enhancement in sensitivity when compared to the bulk Cas13a assay and enables absolute digital single-molecule RNA quantitation. We experimentally demonstrate its broad applicability for precisely counting microRNAs, 16S rRNAs, and SARS-CoV-2 RNA from synthetic sequences to clinical samples with excellent accuracy. Notably, this direct RNA diagnostic technology enables detecting a wide range of RNA molecules at the single-molecule level. Moreover, its simplicity, universality, and excellent quantification capability might render it to be a dominant rival to RT-qPCR.
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Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Real-time quantification of microRNAs by stem-loop RT-PCR
Chen, C. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni178 · Cited by 4,952
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-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153
CRISPR–Cas12-based detection of SARS-CoV-2
Broughton, J. P., Deng, X., Yu, G., Fasching, C. L., Servellita, V., Singh, J., Miao, X., Streithorst, J. A., Granados, A., Sotomayor-Gonzalez, A., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0513-4 · Cited by 2,717
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
C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector
Abudayyeh, O. O., Gootenberg, J. S., Konermann, S., Joung, J., Slaymaker, I. M., Cox, D. B. T., Shmakov, S., Makarova, K. S., Semenova, E., Minakhin, L., et al. (2016) · Science · doi:10.1126/science.aaf5573 · Cited by 2,336
Direct multiplexed measurement of gene expression with color-coded probe pairs
Geiss, G. K., Bumgarner, R. E., Birditt, B., Dahl, T., Dowidar, N., Dunaway, D. L., Fell, H. P., Ferree, S., George, R. D., Grogan, T., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1385 · Cited by 2,066
Diagnosing COVID-19: The Disease and Tools for Detection
Udugama, B., Kadhiresan, P., Kozlowski, H. N., Malekjahani, A., Osborne, M., Li, V. Y. C., Chen, H., Mubareka, S., Gubbay, J. B., & Chan, W. C. W. (2020) · ACS Nano · doi:10.1021/acsnano.0c02624 · Cited by 1,754
SHERLOCK: nucleic acid detection with CRISPR nucleases
Kellner, M. J., Koob, J. G., Gootenberg, J. S., Abudayyeh, O. O., & Zhang, F. (2019) · Nature Protocols · doi:10.1038/s41596-019-0210-2 · Cited by 1,631
Cited by
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
Self-citationHillary, V. E., & Ceasar, S. A. (2023) · Molecular Biotechnology · doi:10.1007/s12033-022-00567-0 · Cited by 320
Repurposing Type I-A CRISPR-Cas3 for a robust diagnosis of human papillomavirus (HPV)
Hu, T., Ji, Q., Ke, X., Zhou, H., Zhang, S., Ma, S., Yu, C., Ju, W., Lu, M., Lin, Y., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06537-3 · Cited by 24
Metadata
- Authors
- Tian, T., Shu, B., Jiang, Y., Ye, M., Liu, L., Guo, Z., Han, Z., Wang, Z., & Zhou, X.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-12-17
- Volume
- 15
- Issue
- 1
- Pages
- 1167-1178
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W3111292947
- Cited by
- 328
- References
- 43
- FWCI
- 11.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tian, T., Shu, B., Jiang, Y., Ye, M., Liu, L., Guo, Z., Han, Z., Wang, Z., & Zhou, X. (2021). An Ultralocalized Cas13a Assay Enables Universal and Nucleic Acid Amplification-Free Single-Molecule RNA Diagnostics. ACS Nano. https://doi.org/10.1021/acsnano.0c08165
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