计算生物学
小RNA
临床诊断
生物
疾病
生物标志物发现
生物标志物
诊断生物标志物
环介导等温扩增
生物信息学
计算机科学
医学
病理
基因
遗传学
蛋白质组学
DNA
重症监护医学
作者
Yu Han,Xin Sun,Sheng Cai
出处
期刊:Biosensors
[Multidisciplinary Digital Publishing Institute]
日期:2025-06-18
卷期号:15 (6): 395-395
被引量:6
摘要
With the rapid development of modern molecular biology, microRNA (miRNA) has been demonstrated to be closely associated with the occurrence and development of tumors and holds significant promise as a biomarker for the early detection, diagnosis, and treatment of cancer and other diseases. Therefore, detecting miRNA and analyzing it to determine its biological functions are of great significance for the screening and diagnosis of diseases. However, the intrinsic characteristics of miRNAs, including their low abundance, short sequence lengths, and high family-specific sequence homology, render traditional detection methods such as Northern blot hybridization, microarray use, and reverse transcription quantitative PCR (RT-qPCR) inadequate for meeting the stringent requirements of clinical detection in biological samples, a task requiring accuracy, rapidity, high detection power, specificity, and cost-effectiveness. In recent years, a substantial amount of effort has been put into developing innovative methodologies to address these challenges. In this review, we aim to provide a comprehensive overview of the recent advancements in these methodologies and their applications in clinical biological sample detection for disease diagnosis.
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