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Updated: May 2, 2026

Establishment and Quantification of De Novo Lytic Infection by Cell-free Kaposi's Sarcoma-Associated Herpesvirus
Published on: August 15, 2025
Development and evaluation of SYBR Green-I based quantitative PCR assays for herpes simplex virus type 1 whole
Cathryn E Garvey1, Chris L McGowin2, Timothy P Foster1
1Department of Microbiology, Immunology, and Parasitology, New Orleans, LA 70112, USA; The Stanley S. Scott Cancer Center, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA; The Louisiana Vaccine Center, New Orleans, LA 70112, USA.
Abstract:
There is an emerging need for viral gene specific quantitative PCR (qPCR) assays that validate and complement whole transcriptome level technologies, including microarray and next generation sequencing. Therefore, a compilation of qPCR assays that represented the breadth of the entire Herpes simplex virus type 1 (HSV-1) genome were developed and evaluated. SYBR Green-I-based quantitation of each of the 74 HSV-1 lytic genes enabled accurate and reproducible detection of viral genes using a minimal number of reaction conditions. The amplification specificity of these assays for HSV-1 target genes was confirmed by amplicon size and purity determination on agarose gels, melt temperature dissociation curve analysis, and direct DNA sequencing of amplified products. Analysis of representative target genes demonstrated that these assays accurately and reproducibly quantified target gene expression across a wide and linear range of detection. In addition, minimal intra- and inter-assay variability was observed with significant well-to-well and plate-to-plate/assay-to-assay precision. To evaluate the utility of the developed qPCR assay system, kinetic profiles of viral gene expression were determined for an array of representative genes from all HSV-1 transcriptional gene classes. Collectively, these data demonstrate that the compiled optimized qPCR assays is a scalable and cost-effective method to assess HSV-1 gene expression with broad application potential, including investigation of pathogenesis and antiviral therapies. In addition, they can be employed to validate and complement evolving technologies for genome-wide transcriptome analysis.

