Dalton J Nelson, Kunal Chugh, Heather H Pua, Frederick R Haselton
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引用次数: 0
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.
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.