Department of Oncology and Metabolism, The University of Sheffield, Sheffield S10 2SF, UK.
Sheffield Institute of Translational Neuroscience, The University of Sheffield, Sheffield S10 2HQ, UK.
Mol Med Rep. 2021 Apr;23(4):1. doi: 10.3892/mmr.2021.11897. Epub 2021 Feb 12.
Circulating microRNA (miRNA) biomarkers are implicated in the diagnosis, monitoring and prediction of various disease processes. Before embarking upon biomarker discovery, miRNA extraction techniques must first be optimised in the biofluid and population under study. Using plasma from a healthy pregnant woman, it was attempted to optimise and compare the performance of two commercially available miRNA extraction kits; Qiagen (miRNeasy Serum/Plasma) and Promega (Maxwell RSC miRNA from Tissue or Plasma or Serum). Sample miRNA content (concentration and percentage) was assessed using Agilent Bioanalyzer Small RNA chips and reverse transcription‑quantitative PCR (RT‑qPCR) using four constitutively expressed miRNAs (hsa‑miR‑222‑3p, hsa‑let‑7i‑3p, hsa‑miR‑148‑3p and hsa‑miR‑30e‑5p). Quality control spike‑ins monitored RNA extraction (UniSp2, 4 and 5) and cDNA synthesis (UniSp6, cel‑miR‑39‑3p) efficiency. Optimisation approaches included: i) Starting volume of plasma; the addition of ii) Proteinase K; iii) a RNA bacteriophage carrier (MS2); and iv) a glycogen carrier. The two kits exhibited equivalence in terms of miRNA recovery based on Bioanalyzer and RT‑qPCR ΔΔCq results. Optimisation attempts for both kits failed to improve upon miRNA content compared with standard methodology. Comparing the standard methodology, the Qiagen kit was more consistent (smaller variance of ΔCq values) compared with the Promega kit. The standard methodology of either kit would be suitable for the investigation of miRNA biomarkers in a healthy pregnant population.
循环 microRNA (miRNA) 生物标志物与各种疾病过程的诊断、监测和预测有关。在进行生物标志物发现之前,必须首先优化研究生物体液和人群中的 miRNA 提取技术。使用来自健康孕妇的血浆,尝试优化和比较两种市售 miRNA 提取试剂盒;Qiagen(miRNeasy Serum/Plasma)和 Promega(Maxwell RSC miRNA from Tissue or Plasma or Serum)的性能。使用 Agilent Bioanalyzer Small RNA 芯片和逆转录定量 PCR(RT-qPCR)评估样本 miRNA 含量(浓度和百分比),使用四个组成型表达的 miRNA(hsa-miR-222-3p、hsa-let-7i-3p、hsa-miR-148-3p 和 hsa-miR-30e-5p)。质量控制 Spike-ins 监测 RNA 提取(UniSp2、4 和 5)和 cDNA 合成(UniSp6、cel-miR-39-3p)效率。优化方法包括:i)起始血浆体积;添加 ii)蛋白酶 K;iii)RNA 噬菌体载体(MS2);和 iv)糖原载体。基于 Bioanalyzer 和 RT-qPCR ΔΔCq 结果,两种试剂盒在 miRNA 回收方面表现出等效性。与标准方法相比,两种试剂盒的优化尝试都未能提高 miRNA 含量。与 Promega 试剂盒相比,Qiagen 试剂盒的标准方法更一致(ΔCq 值的方差更小)。两种试剂盒的标准方法都适用于健康孕妇人群中 miRNA 生物标志物的研究。