The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Recent advances of fluorescent biosensors based on cyclic signal amplification technology in biomedical detection
Open accessAbstract
The cyclic signal amplification technology has been widely applied for the ultrasensitive detection of many important biomolecules, such as nucleic acids, proteins, enzymes, adenosine triphosphate (ATP), metal ions, exosome, etc. Due to their low content in the complex biological samples, traditional detection methods are insufficient to satisfy the requirements for monitoring those biomolecules. Therefore, effective and sensitive biosensors based on cyclic signal amplification technology are of great significance for the quick and simple diagnosis and treatment of diseases. Fluorescent biosensor based on cyclic signal amplification technology has become a research hotspot due to its simple operation, low cost, short time, high sensitivity and high specificity. This paper introduces several cyclic amplification methods, such as rolling circle amplification (RCA), strand displacement reactions (SDR) and enzyme-assisted amplification (EAA), and summarizes the research progress of using this technology in the detection of different biomolecules in recent years, in order to provide help for the research of more efficient and sensitive detection methods. Graphical Abstract
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Citations
Cites
Shedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
The evolution of phosphatidylinositol 3-kinases as regulators of growth and metabolism
Engelman, J. A., Luo, J., & Cantley, L. C. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1879 · Cited by 3,330
Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes
Tsai, M.-C., Manor, O., Wan, Y., Mosammaparast, N., Wang, J. K., Lan, F., Shi, Y., Segal, E., & Chang, H. Y. (2010) · Science · doi:10.1126/science.1192002 · Cited by 3,290 · cited 1×
“LncRNA also regulates the expression of multilevel genes such as post-transcriptional regulation and epigenetic regulation [76, 77].”
BackgroundKostic, A. D., Chun, E., Robertson, L., Glickman, J. N., Gallini, C. A., Michaud, M., Clancy, T. E., Chung, D. C., Lochhead, P., Hold, G. L., et al. (2013) · Cell Host & Microbe · doi:10.1016/j.chom.2013.07.007 · Cited by 2,718
Regulation of circRNA biogenesis
Chen, L.-L., & Yang, L. (2015) · RNA Biology · doi:10.1080/15476286.2015.1020271 · Cited by 1,953
Circular RNA: a new star of noncoding RNAs
Qu, S., Yang, X., Li, X., Wang, J., Gao, Y., Shang, R., Sun, W., Dou, K., & Li, H. (2015) · Cancer Letters · doi:10.1016/j.canlet.2015.06.003 · Cited by 1,808 · cited 1×
“Therefore, circRNA is more stable than linear RNA in any environment because it is not easy to be degraded by RNA enzyme [79, 80].”
BackgroundInherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer
Pritchard, C. C., Mateo, J., Walsh, M. F., De Sarkar, N., Abida, W., Beltran, H., Garofalo, A., Gulati, R., Carreira, S., Eeles, R., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1603144 · Cited by 1,680
Glutathione in Cancer Biology and Therapy
Estrela, J. M., Ortega, A., & Obrador, E. (2006) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408360500523878 · Cited by 1,041
Principles and Applications of Nucleic Acid Strand Displacement Reactions
Simmel, F. C., Yurke, B., & Singh, H. R. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00580 · Cited by 792
Cited by
Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease
Pishbin, E., Sadri, F., Dehghan, A., Kiani, M. J., Hashemi, N., Zare, I., Mousavi, P., & Rahi, A. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115705 · Cited by 25
Metadata
- Authors
- Qu, H., Fan, C., Chen, M., Zhang, X., Yan, Q., Wang, Y., Zhang, S., Gong, Z., Shi, L., Li, X., Liao, Q., Xiang, B., Zhou, M., Guo, C., Li, G., Zeng, Z., Wu, X., & Xiong, W.
- Venue
- Journal of Nanobiotechnology
- Published
- 2021-12
- Volume
- 19
- Issue
- 1
- Pages
- 403-403
- ISSN
- 1477-3155 (ISSN-L)
- OpenAlex
- W4200260085
- Cited by
- 306
- References
- 9
- FWCI
- 19.12
- Type
- journal article
- Language
- en
- Open access
- gold
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- Qu, H., Fan, C., Chen, M., Zhang, X., Yan, Q., Wang, Y., Zhang, S., Gong, Z., Shi, L., Li, X., Liao, Q., Xiang, B., Zhou, M., Guo, C., Li, G., Zeng, Z., Wu, X., & Xiong, W. (2021). Recent advances of fluorescent biosensors based on cyclic signal amplification technology in biomedical detection. Journal of Nanobiotechnology. https://doi.org/10.1186/s12951-021-01149-z
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