化学寡核苷酸合成错误的数字量化。
Digital Quantification of Chemical Oligonucleotide Synthesis Errors.
机构信息
Department of Laboratory Medicine, Sahlgrenska Center for Cancer Research, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenberg, Sweden.
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Sweden.
出版信息
Clin Chem. 2021 Oct 1;67(10):1384-1394. doi: 10.1093/clinchem/hvab136.
BACKGROUND
Chemically synthesized oligonucleotides are vital to most nucleic acids-based technologies and several applications are sensitive to oligonucleotide sequence errors. However, it is challenging to identify and quantify the types and amount of errors in synthetic oligonucleotides.
METHODS
We applied a digital sequencing approach using unique molecular identifiers to quantify errors in chemically synthesized oligonucleotides from multiple manufacturers with different synthesis strategies, purity grades, batches, and sequence context.
RESULTS
We detected both deletions and substitutions in chemical oligonucleotide synthesis, but deletions were 7 times more common. We found that 97.2% of all analyzed oligonucleotide molecules were intact across all manufacturers and purity grades, although the number of oligonucleotide molecules with deletions ranged between 0.2% and 11.7% for different types. Different batches of otherwise identical oligonucleotide types also varied significantly, and batch effect can impact oligonucleotide quality more than purification. We observed a bias of increased deletion rates in chemically synthesized oligonucleotides toward the 5'-end for 1 out of 2 sequence configurations. We also demonstrated that the performance of sequencing assays depends on oligonucleotide quality.
CONCLUSIONS
Our data demonstrate that manufacturer, synthesis strategy, purity, batch, and sequence context all contribute to errors in chemically synthesized oligonucleotides and need to be considered when choosing and evaluating oligonucleotides. High-performance oligonucleotides are essential in numerous molecular applications, including clinical diagnostics.
背景
化学合成寡核苷酸对大多数基于核酸的技术至关重要,并且有几个应用对寡核苷酸序列错误很敏感。然而,识别和量化合成寡核苷酸中的错误类型和数量具有挑战性。
方法
我们应用了一种使用独特分子标识符的数字测序方法,以量化来自具有不同合成策略、纯度等级、批次和序列背景的多个制造商的化学合成寡核苷酸中的错误。
结果
我们在化学寡核苷酸合成中检测到了缺失和取代,但缺失更为常见。我们发现,尽管不同类型的寡核苷酸分子的缺失数量在 0.2%到 11.7%之间有所不同,但所有分析的寡核苷酸分子在所有制造商和纯度等级上都是完整的。不同批次的相同类型的寡核苷酸也有很大差异,批次效应对寡核苷酸质量的影响可能超过纯化。我们观察到,对于 2 种序列构型中的 1 种,化学合成寡核苷酸中朝向 5'-末端的缺失率增加存在偏差。我们还证明了测序分析的性能取决于寡核苷酸的质量。
结论
我们的数据表明,制造商、合成策略、纯度、批次和序列背景都会导致化学合成寡核苷酸中的错误,在选择和评估寡核苷酸时需要考虑这些因素。高性能寡核苷酸在包括临床诊断在内的众多分子应用中至关重要。