Designing and Interpreting Limiting Dilution Assays: General Principles and Applications to the Latent Reservoir for Human Immunodeficiency Virus-1.

Designing and Interpreting Limiting Dilution Assays: General Principles and Applications to the Latent Reservoir for Human Immunodeficiency Virus-1.
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DOI:
10.1093/ofid/ofv123
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发表时间:
2015-12
影响因子:
4.2
通讯作者:
Siliciano RF
Siliciano RF
中科院分区:
医学3区
文献类型:
--
作者:
Rosenbloom DI;Elliott O;Hill AL;Henrich TJ;Siliciano JM;Siliciano RF

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Limiting dilution assays are widely used in infectious disease research. These assays are crucial for current HIV-1 cure research in particular. Here we offer new tools to help investigators design and analyze dilution assays based on their specific research needs. Limiting dilution assays are widely used in infectious disease research. These assays are crucial for current human immunodeficiency virus (HIV)-1 cure research in particular. In this study, we offer new tools to help investigators design and analyze dilution assays based on their specific research needs. Limiting dilution assays are commonly used to measure the extent of infection, and in the context of HIV they represent an essential tool for studying latency and potential curative strategies. Yet standard assay designs may not discern whether an intervention reduces an already miniscule latent infection. This review addresses challenges arising in this setting and in the general use of dilution assays. We illustrate the major statistical method for estimating frequency of infectious units from assay results, and we offer an online tool for computing this estimate. We recommend a procedure for customizing assay design to achieve desired sensitivity and precision goals, subject to experimental constraints. We consider experiments in which no viral outgrowth is observed and explain how using alternatives to viral outgrowth may make measurement of HIV latency more efficient. Finally, we discuss how biological complications, such as probabilistic growth of small infections, alter interpretations of experimental results.