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author:

Yang, Bingyu (Yang, Bingyu.) [1] | Gao, Xiang (Gao, Xiang.) [2] | Yu, Hengxin (Yu, Hengxin.) [3] | Xu, Jiawei (Xu, Jiawei.) [4] | Liu, Wenming (Liu, Wenming.) [5] | Xu, Huo (Xu, Huo.) [6] | Guo, Liangqia (Guo, Liangqia.) [7] (Scholars:郭良洽)

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EI

Abstract:

MicroRNAs (miRNAs) are pivotal in regulating biological processes such as cell proliferation and disease progression. Traditional miRNA detection methods like qRT-PCR and Northern blotting do not allow for monitoring dynamic changes in living cells and typically require invasive sample collection. This research presents a robust, non-enzymatic technique known as the Localized Hybridization Chain Reaction Amplifier (LHCRA), designed for real-time, in vivo miRNA imaging. This method addresses these limitations by providing rapid and sensitive detection of miRNAs, crucial for progressing clinical diagnostics and research. The LHCRA utilizes hairpin chain reaction probes embedded within self-assembled DNA micelles (DM), significantly amplifying miRNA signals. LHCRA demonstrated exceptional performance, with a detection limit of 100 pM and a response time of 10 min. Importantly, it effectively differentiated between cancerous and normal cells using clinical peripheral blood samples, showcasing high specificity and stability under physiological conditions. Additionally, LHCRA maintained consistent performance in complex biological media, including 10 % serum and 2 U/mL DNase I, confirming its broad applicability in various diagnostic scenarios. This performance highlights LHCRA's potential as a transformative tool in miRNA-based diagnostics. The introduction of LHCRA marks a significant advancement in miRNA detection technology. By enabling accurate, non-invasive, and real-time monitoring of miRNA dynamics within living cells, this method offers substantial potential to enhance diagnostic accuracy and deepen our understanding of disease mechanisms, particularly in cancer. Thus, it could greatly improve therapeutic strategies and patient outcomes in clinical environment. © 2024

Keyword:

Diagnosis Diseases

Community:

  • [ 1 ] [Yang, Bingyu]Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Yang, Bingyu]College of Materials and Chemical Engineering, Minjiang University, Fujian, Fuzhou; 350108, China
  • [ 3 ] [Gao, Xiang]Department of Anesthesiology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou; 350001, China
  • [ 4 ] [Yu, Hengxin]Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Yu, Hengxin]College of Materials and Chemical Engineering, Minjiang University, Fujian, Fuzhou; 350108, China
  • [ 6 ] [Xu, Jiawei]College of Materials and Chemical Engineering, Minjiang University, Fujian, Fuzhou; 350108, China
  • [ 7 ] [Liu, Wenming]Endoscopic Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou; 350001, China
  • [ 8 ] [Xu, Huo]College of Materials and Chemical Engineering, Minjiang University, Fujian, Fuzhou; 350108, China
  • [ 9 ] [Guo, Liangqia]Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou; 350116, China

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Source :

Analytica Chimica Acta

ISSN: 0003-2670

Year: 2024

Volume: 1330

5 . 7 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 2

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