Beyond titer: using next-generation sequencing to see what is really inside our viral vectors

Viral vectors are the workhorses of modern gene therapy, yet we still characterize them with tools designed for simpler questions. Titer by qPCR or ddPCR tells us how many genomes are present, but not what those genomes look like.

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Closer inspection often reveals a more complicated picture. Vector preparations can contain truncated or chimeric genomes, packaged plasmid backbone, host cell DNA, helper sequences, and low-frequency variants in the transgene or regulatory elements. These can affect potency, immunogenicity, and safety, and most are invisible to conventional assays.

Next-generation sequencing (NGS) can resolve this heterogeneity. Long-read platforms read intact vector genomes from single molecules, and deep short-read sequencing profiles impurities and rare variants. Applied carefully, with attention to library prep artifacts, error models, and orthogonal confirmation, NGS can turn vector characterization from a bulk measurement into a detailed, quantitative picture.

I am planning a peer-reviewed publication on this topic and am looking for co-authors and experimental partners. I will lead the project strategy, study design, data analysis, and writing. I am looking for collaborators who can contribute samples, sequencing capacity, or domain expertise (vector biology, bioinformatics, or CMC assay validation) to make the work rigorous and useful for the field.

If this overlaps with your work, please comment below or contact me at [email / ORCID / institution]. Tell me about your vector or dataset, what you could contribute, and the role you would like on the paper.