ArticleMethods (San Diego, Calif.)2022
Ultrasensitive detection and quantification of viral nucleic acids with Raindance droplet digital PCR (ddPCR).
Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Updated practice for detection of viral infections in breeding macaques.Zoological research · 2025Review
- A review of historical landmarks and pioneering technologies for the diagnosis of Hepatitis C Virus (HCV).European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Review
- Article
- Association between SARS-CoV-2 Viral Load and Patient Symptoms and Clinical Outcomes Using Droplet Digital PCR.Viruses · 2023Article
- Droplet digital PCR application for the detection of SARS-CoV-2 in air sample.Frontiers in public health · 2023Article
- Evaluating the sensitivity of droplet digital PCR for the quantification of SARS-CoV-2 in wastewater.Frontiers in public health · 2023Article
- Sponge Whirl-Pak Sampling Method and Droplet Digital RT-PCR Assay for Monitoring of SARS-CoV-2 on Surfaces in Public and Working Environments.International journal of environmental research and public health · 2022Article
- In pursuit of sensitivity: Lessons learned from viral nucleic acid detection and quantification on the Raindance ddPCR platform.Methods (San Diego, Calif.) · 2022Review
- Enrichment of gut microbiome strains for cultivation-free genome sequencing using droplet microfluidics.Cell reports methods · 2022Article
- Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Sensitive detection of viral nucleic acids is critically important for diagnosis and monitoring of the progression of infectious diseases such as those caused by SARS-CoV2, HIV-1, and other viruses. In HIV-1 infection cases, assessing the efficacy of treatment interventions that are superimposed on combination antiretroviral therapy (cART) has benefited tremendously from the development of sensitive HIV-1 DNA and RNA quantitation assays. Simian immunodeficiency virus (SIV) infection of Rhesus macaques is similar in many key aspects to human HIV-1 infection and consequently this non-human primate (NHP) model has and continues to prove instrumental in evaluating HIV prevention, treatment and eradication approaches. Cell and tissue associated HIV-1 viral nucleic acids have been found to serve as useful predictors of disease outcome and indicators of treatment efficacy, highlighting the value of and the need for sensitive detection of viruses in cells/tissues from infected individuals or animal models. However, viral nucleic acid detection and quantitation in such sample sources can often be complicated by high nucleic acid input (that is required to detect ultralow level viruses in, for example, cure research) or inhibitors, leading to reduced detection sensitivity and under-quantification, and confounded result interpretation. Here, we present a step-by-step procedure to quantitatively recover cell/tissue associated viral DNA and RNA, using SIV-infected Rhesus macaque cells and tissues as model systems, and subsequently quantify the viral DNA and RNA with an ultrasensitive SIV droplet digital PCR (ddPCR) assay and reverse transcription ddPCR (RT-ddPCR) assay, respectively, on the Raindance ddPCR platform. The procedure can be readily adapted for a broad range of applications where highly sensitive nucleic acid detection and quantitation are required.
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Registered trials
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