放大器
生物芯片
PCR的应用
滚动圆复制
底漆(化妆品)
核酸
计算生物学
底漆二聚体
聚合酶链反应
DNA微阵列
多重位移放大
分子生物学
生物
DNA
数字聚合酶链反应
化学
遗传学
基因
聚合酶
多重聚合酶链反应
基因表达
DNA提取
有机化学
作者
Suresh Reddy Banda,Holger Klapproth,Nicolaas Smit,Sonja Bednar,Thomas Brandstëtter,Jürgen Rühe
标识
DOI:10.3389/fbioe.2022.1045154
摘要
The sensitivity of a PCR based biochip assay relies on the efficiency of PCR amplicons in binding to the microarray spots. The essential factor determining the sensitivity is the amount of single stranded (ss) amplicons available for biochip hybridization. Asymmetric PCR can generate ss-amplicons depending on the ratio of primers used in the amplification process, but this process is often inefficient. We report a novel variant of PCR called the Asymmetric Exponential and Linear Amplification (AELA) which can overcome these issues and generate large amounts of single stranded amplicons. AELA-PCR introduces an amplification strategy that makes use of both exponential and linear amplification of the target nucleic acid. This is done by specifically designed primers and choice of adequate thermal profiles. In conventional PCR with a classical thermal profile, these specifically designed primers will work normally and contribute to an exponential increase of amplicons. A designed sequence extension of one of the primers and a very specific thermal profile, will result in a situation that the extended primer will be the only functional one for amplification, resulting in a linear phase of the amplification process. That is why during this step only one of the two strands of the target is amplified linearly and no longer exponentially. The result of the whole process is an amplification product enriched very strongly in one of the two single strands of the target. These adaptions in PCR are particularly favorable where the generation of ss-DNA/RNA is required. We demonstrate the higher biochip sensitivity of AELA-PCR compared to conventional amplification methods with an example of the Staphylococcus aureus detection on a DNA oligonucleotide microarray.
科研通智能强力驱动
Strongly Powered by AbleSci AI