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Accurate vector copy number determination in gammaretroviral vector producer cell clones using triplex digital droplet PCR.

Authors :
Iida, Tomomine
Nakamura, Yoshiki
Yamamoto, Katsuhiko
Maeda, Eiki
Ikeda, Yukihiro
Source :
Journal of Virological Methods. Feb2025, Vol. 332, pN.PAG-N.PAG. 1p.
Publication Year :
2025

Abstract

Gammaretroviral vectors are widely used in cellular and gene therapy products because of the availability of stable vector producer cells. Accurately assessing vector copy number (VCN) is critical for selecting appropriate clones to avoid the risks of homologous recombination and complications in mutation detection. Traditional methods such as quantitative polymerase chain reaction (PCR) and Southern blotting have limitations in accuracy and throughput. This study presents a triplex droplet digital PCR (ddPCR) method for analyzing the VCN in gammaretroviral vector producer cells. We designed a universal primer– probe set targeting the packaging signal sequence common to murine leukemia virus– and murine stem cell virus– based gammaretroviral vectors. Two reference genes were selected after karyotyping the PG13 gammaretroviral vector packaging cell line to identify stable chromosomes. The triplex ddPCR assay was optimized and verified using PG13 cells transduced with constructs of different transgene and vector backbones. The assay showed high concordance with Southern blot. Using multiple reference genes ensures accurate and robust VCN assessment, especially in cell lines with chromosomal instability. This method improves the clone selection process for gammaretroviral vector producer cells, accelerates the development of novel cellular and gene therapy products, and ensures their rapid delivery to patients. • A triplex ddPCR was developed for accurate vector copy number (VCN) determination. • A universal primer–probe set for most gammaretroviral vectors was designed. • Multiple reference genes were used for VCN measurements in aneuploid cell lines. • ddPCR results matched Southern blot results, ensuring high reliability & throughput. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01660934
Volume :
332
Database :
Academic Search Index
Journal :
Journal of Virological Methods
Publication Type :
Academic Journal
Accession number :
181540577
Full Text :
https://doi.org/10.1016/j.jviromet.2024.115075