Jiaen You, Yingying Tan, Defu Kong, Honglv Yang, Yixiao Huang, Junru Li, Chen Ji, Yongming Han, Kang He, Fengqin Li, Peifeng Liu
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引用次数: 0
Abstract
Liquid biopsy is a minimally invasive and convenient diagnostic and monitoring method for diseases, involving the collection and analysis of samples such as blood, urine, and cerebrospinal fluid. However, due to the intricate matrix composition of biological samples, there remains a need for further enhancement of sensitivity and specificity in current liquid biopsy methods to adequately meet clinical requirements. Rolling circle amplification (RCA) is an efficient isothermal enzymatic reaction capable of rapidly producing numerous ultra-long single-stranded DNA molecules with repetitive sequences. By custom-designing the DNA template sequence, RCA can generate functional products that integrate with various functional groups, achieving signal amplification and output with exceptional specificity and sensitivity in liquid biopsy. In this review, the fundamental principles and classifications of RCA are first introduced. Then, the coupling strategies of RCA with various detection technologies are systematically summarized, along with their prospects and challenges of clinical applications that have not been addressed in previous reviews, and the recent developments of RCA-based biosensors in liquid biopsy are explored. Finally, the challenges associated with the integration of RCA in liquid biopsy are discussed and potential directions for future advancements are proposed.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.