UMPlex™: a targeted next-generation sequencing primer design workflow

We have developed a tailored next-generation sequencing (tNGS) panel, employing our innovative UMPlex™ primer design workflow, to enhance pathogen identification in clinical diagnostics. Through iterative experimentation and rigorous validation, we refined the primer design by excluding those with insufficient specificity or efficiency. To mitigate amplification challenges arising from pathogenic mutations, we implemented a strategy of using a minimum of two primer pairs per pathogen, ensuring redundancy and robust detection. Validation using clinical samples showcased high specificity and efficacy, with 11 cultured pathogens isolated exclusively. In a study involving 107 positive respiratory samples, tNGS outperformed the TaqMan Array, detecting a higher number of pathogens in patients with influenza-like symptoms of unknown etiology. Additionally, tNGS yielded higher read counts for potentially pathogenic microorganisms and produced results consistent with metagenomic NGS, despite generating a reduced data volume. This approach not only improves detection rates but also offers a flexible tool for both clinical diagnostics and surveillance, particularly in the context of influenza-like illnesses.

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Publication Details

Journal
Virology Journal
Published
2025-07-05
DOI
https://doi.org/10.1186/s12985-025-02831-6
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

UMPlex™: a targeted next-generation sequencing primer design workflow

Xinchun Chen, Yi Huang, Yongchao Guo, Yingluan Zhang et al.
1 links
Virology Journal
Influenza Virus Research Studies
article

UMPlex™: a targeted next-generation sequencing primer design workflow

Xinchun Chen, Yi Huang, Yongchao Guo, Yingluan Zhang, Tiejian Feng, Xiaomin Zhang, Tong Li, Dan Wang, Lihua Li, Renli Zhang, Dachuan Lin, Taixiang Liu
article en

Abstract

We have developed a tailored next-generation sequencing (tNGS) panel, employing our innovative UMPlex™ primer design workflow, to enhance pathogen identification in clinical diagnostics. Through iterative experimentation and rigorous validation, we refined the primer design by excluding those with insufficient specificity or efficiency. To mitigate amplification challenges arising from pathogenic mutations, we implemented a strategy of using a minimum of two primer pairs per pathogen, ensuring redundancy and robust detection. Validation using clinical samples showcased high specificity and efficacy, with 11 cultured pathogens isolated exclusively. In a study involving 107 positive respiratory samples, tNGS outperformed the TaqMan Array, detecting a higher number of pathogens in patients with influenza-like symptoms of unknown etiology. Additionally, tNGS yielded higher read counts for potentially pathogenic microorganisms and produced results consistent with metagenomic NGS, despite generating a reduced data volume. This approach not only improves detection rates but also offers a flexible tool for both clinical diagnostics and surveillance, particularly in the context of influenza-like illnesses.

Virology JournalVol. 22(1)
Ministry of Culture (IN), Shenzhen University (CN), Shenzhen Center for Disease Control and Prevention (CN), Shenzhen University Health Science Center (CN), Hainan Medical University (CN), University of Hong Kong (HK)
Shenzhen Municipal Science and Technology Innovation Council
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Influenza Virus Research Studies
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