Medical diagnostic value of digital PCR (dPCR): A systematic review

数字聚合酶链反应 价值(数学) 医学 计算生物学 医学物理学 计算机科学 皮肤病科 生物 数学 聚合酶链反应 统计 遗传学 基因
作者
Sophia Nazir
出处
期刊:Biomedical engineering advances [Elsevier]
卷期号:6: 100092-100092 被引量:2
标识
DOI:10.1016/j.bea.2023.100092
摘要

Digital polymerase chain reaction (dPCR) is an emerging technique for the absolute quantification of target nucleic acids. dPCR got attention as a precise quantification tool in preclinical research, particularly when used to detect genetic mutations and result in highly precise measurements. In dPCR, the statistic of Poisson distribution was followed for the random distribution of molecules in different partitions, which is essential for dPCR quantification. Amplified target sequences in different partitions are identified by fluorescence and each partition functions as a separate PCR microreactor. Without the need for calibration, the percentage of PCR-positive partitions is sufficient to estimate the concentration of the target sequence. The present revolution in digital quantification was made possible by advancements in microfluidics, which provided effective partitioning techniques. In this paper, the contrast of the underlying ideas of quantitative real-time PCR with dPCR for the measurement of nucleic acids quantity Polymerase chain reaction (q-PCR). This review study briefly introduced the background of dPCR and compared different types of PCR, particularly the quantity of real-time qPCR and digital PCR. The fundamental concept of dPCR is also explained and also briefly compares the advantages of dPCR over qPCR and analyzes the applications of dPCR as a diagnostic tool for cancer and different types of viral species.
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