4.4 Review

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

Journal

OPEN FORUM INFECTIOUS DISEASES
Volume 2, Issue 4, Pages -

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/ofid/ofv123

Keywords

dilution assay; HIV; latent reservoir; maximum-likelihood statistics; viral outgrowth

Funding

  1. National Institute of General Medical Sciences at the National Institutes of Health [R01 GM117591]
  2. Office of the Director at the National Institutes of Health [DP5 OD019851]
  3. National Institute of Allergy and Infectious Diseases at the National Institutes of Health [K23 AI098480]
  4. amfAR Research Consortium on HIV Eradication

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available