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一种用于试剂设计的软件工具,可通过寡核苷酸连接测定法扩大单核苷酸变异检测的可及性。

A Software Tool for Reagent Design to Expand Access to Single-Nucleotide Variant Detection by the Oligonucleotide Ligation Assay.

作者信息

Nelson Dalton J, Chugh Kunal, Pua Heather H, Haselton Frederick R

机构信息

Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.

Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee.

出版信息

J Mol Diagn. 2025 Mar;27(3):184-198. doi: 10.1016/j.jmoldx.2024.12.007. Epub 2025 Jan 14.

Abstract

Single-nucleotide variants (SNVs) and polymorphisms are characteristic biomarkers in various biological contexts, including pathogen drug resistances and human diseases. Tools that lower the implementation barrier of molecular SNV detection methods would provide greater leverage of the expanding single-nucleotide polymorphism/SNV database. The oligonucleotide ligation assay (OLA) is a highly specific means for detection of known SNVs and is especially powerful when coupled with PCR. Yet, the OLA design process remains intensive, and criteria for success are uncertain. To assist in the design process, this study describes OLAgen, an open-source tool to automate development of OLAs and their coupled PCR assays. The software facilitates alignment of sequences surrounding SNVs and generates ligation probes while screening for dimerization potential. OLAgen successfully produced ligation probes that closely matched previously validated designs for HIV-1, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and KRAS, confirming its reliability and potential for clinical applications. The tool was used to generate new assays targeting Mycobacterium tuberculosis drug resistance and variants in the human JAK2, BRAF, and factor V genes, all of which demonstrated 100% sensitivity and specificity in controlled laboratory experiments. The OLAgen predicted assay designs detected mutant frequencies as low as 1% to 5% in wild-type backgrounds in proof-of-concept laboratory studies. OLAgen represents a significant advancement in accessible assay design, promoting the broader application of OLA technology in clinical and research settings.

摘要

单核苷酸变异(SNV)和多态性是各种生物学背景下的特征性生物标志物,包括病原体耐药性和人类疾病。降低分子SNV检测方法实施障碍的工具将能更好地利用不断扩大的单核苷酸多态性/SNV数据库。寡核苷酸连接测定法(OLA)是检测已知SNV的高度特异性方法,与PCR结合时尤其有效。然而,OLA设计过程仍然繁琐,成功标准也不明确。为协助设计过程,本研究描述了OLAgen,这是一种用于自动开发OLA及其耦合PCR测定法的开源工具。该软件有助于对SNV周围的序列进行比对,并生成连接探针,同时筛选二聚化潜力。OLAgen成功产生了与先前验证的针对HIV-1、严重急性呼吸综合征冠状病毒2(SARS-CoV-2)和KRAS的设计紧密匹配的连接探针,证实了其可靠性和临床应用潜力。该工具用于生成针对结核分枝杆菌耐药性以及人类JAK2、BRAF和凝血因子V基因变异的新测定法,所有这些在对照实验室实验中均显示出100%的敏感性和特异性。在概念验证实验室研究中,OLAgen预测的测定法设计在野生型背景中检测到低至1%至5%的突变频率。OLAgen代表了可及性测定法设计方面的重大进展,促进了OLA技术在临床和研究环境中的更广泛应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3453/12179523/0fdcb5dacd77/gr1.jpg

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