Application of Digital PCR in Detecting Human Diseases Associated Gene Mutation

Abstract

Gene mutation has been considered a research hotspot, and the rapid development of biomedicine has enabled significant advances in the evaluation of gene mutations. The advent of digital polymerase chain reaction (dPCR) elevates the detection of gene mutations to unprecedented levels of precision, especially in cancer-associated genes. dPCR has been utilized in the detection of tumor markers in cell-free DNA (cfDNA) samples from patients with different types of cancer in samples such as plasma, cerebrospinal fluid, urine and sputum, which confers significant value for dPCR in both clinical applications and basic research. Moreover, dPCR is extensively used in detecting pathogen mutations related to typical features of infectious diseases (e.g., drug resistance) and mutation status of heteroplasmic mitochondrial DNA, which determines the manifestation and progression of mtDNA-related diseases, as well as allows for the prenatal diagnosis of monogenic diseases and the assessment of the genome editing effects. Compared with real-time PCR (qPCR) and sequencing, the higher sensitivity and accuracy of dPCR indicates a great advantage in the detection of rare mutation. As a new technique, dPCR has some limitations, such as the necessity of highly allele-specific probes and a large sample volume. In this review, we summarize the application of dPCR in the detection of human disease-associated gene mutations.