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A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
Published on: August 21, 2019
Signal differentiation models for multiple microRNA detection: a critical review
Yue Sun1, Yinan Wang2, Luo Fang1
1Department of Pharmacy, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, 310022, People's Republic of China.
This review overviews multiplex strategies for detecting multiple microRNAs (miRNAs) simultaneously, crucial for disease diagnostics. It highlights advanced techniques overcoming limitations of traditional methods for improved efficiency and precision.
Area of Science:
- Biochemistry
- Molecular Biology
- Biomedical Diagnostics
Background:
- MicroRNAs (miRNAs) are small non-coding RNAs vital for biological processes.
- Aberrant miRNA expression is linked to numerous human diseases, positioning them as promising diagnostic biomarkers.
- Multiplex miRNA detection offers enhanced efficiency and diagnostic accuracy over traditional methods.
Purpose of the Study:
- To critically review current multiplex strategies for simultaneous miRNA detection.
- To analyze these strategies based on label and space differentiation signal models.
- To discuss recent advances in signal amplification for multiplex miRNA detection.
Main Methods:
- Overview of multiplex detection strategies for microRNAs.
- Analysis of signal differentiation models: label differentiation and space differentiation.
- Discussion of integrated signal amplification techniques.
Main Results:
- Current multiplex miRNA detection methods face challenges in sensitivity and multiplexing.
- Novel techniques offer solutions for simultaneous multi-miRNA analysis.
- Signal amplification strategies enhance the performance of multiplex miRNA detection.
Conclusions:
- Multiplex miRNA detection strategies are advancing rapidly.
- These advancements hold significant potential for biochemical research and clinical diagnostics.
- Future perspectives focus on improving sensitivity, specificity, and throughput for miRNA-based diagnostics.
