Journal
METHODS
Volume 201, Issue -, Pages 82-95Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2021.04.008
Keywords
Digital PCR; Virus; HIV; Cure research; Infectious diseases; PCR sensitivity; DNA; RNA
Funding
- Federal funds from the National Cancer Institute, National Institutes of Health [HHSN261200800001E, 75N91019D00024]
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This review uses a model for human HIV infection and the Raindance ddPCR platform as an example to describe the technical aspects that contribute to sensitive viral signal detection in tissue samples. It emphasizes the importance of such detection for predicting disease outcome and treatment efficacy.
Sensitive PCR detection of viral nucleic acids plays a critical role in infectious disease research, diagnosis and monitoring. In the context of SARS-CoV-2 detection, recent reports indicate that digital PCR-based tests are significantly more sensitive than traditional qPCR tests. Numerous factors can influence digital PCR reaction sensitivity. In this review, using a model for human HIV infection and the Raindance ddPCR platform as an example, we describe technical aspects that contribute to sensitive viral signal detection in DNA and RNA from tissue samples, which often harbor viral reservoirs and serve as better predictors of disease outcome and indicators of treatment efficacy.
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