Determining the Precision of High-Throughput Sequencing and Its Influence on Aptamer Selection

化学 适体 选择(遗传算法) 吞吐量 计算生物学 DNA测序 DNA 机器学习 遗传学 生物化学 电信 计算机科学 生物 无线
作者
Juan Canoura,Obtin Alkhamis,Caleb Byrd,Linlin Wang,Alexandra Bryant,Yi Xiao
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (44): 17720-17729 被引量:6
标识
DOI:10.1021/acs.analchem.4c03972
摘要

In vitro selection offers a means of discovering functional nucleic acids from randomized libraries, and high-throughput sequencing (HTS) is a powerful tool for monitoring the evolution of oligonucleotide pools over many cycles of enrichment. Many groups now use HTS-derived measures of sequence enrichment across different rounds of in vitro selection to identify promising candidate sequences. However, the precision of HTS in this context─and its impact on the success or failure of the resulting aptamer selection process─remain poorly understood. Here, we conduct multiple independent Illumina-based sequencing trials of in vitro selected pools and empirically determine the precision of the resulting sequence abundance measurements. We find that measurements for sequences with abundance ≥0.1% are generally reliable, with relative standard deviations of <25%. Below this abundance threshold, however, such measurements are highly irreproducible. We demonstrate the practical utility of our findings with several case studies in which HTS data is used to accurately predict the functional properties of oligonucleotides enriched via in vitro selection. Our findings show that the utility of enrichment-based metrics is strongly dependent on the precision of the HTS data used to derive those metrics. These insights will prove beneficial for practitioners using HTS in isolating and characterizing functional oligonucleotides.
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