A high throughput neutralization test based on GFP expression by recombinant rabies virus.
Jillybeth BurgadoLauren GreenbergMike NiezgodaAmrita KumarVictoria OlsonXianfu WuPanayampalli Subbian SatheshkumarPublished in: PLoS neglected tropical diseases (2018)
The effectiveness of rabies vaccination in both humans and animals is determined by the presence of virus neutralizing antibodies (VNAs). The Rapid Fluorescent Focus Inhibition Test (RFFIT) is the method traditionally used for detection and quantification of VNAs. It is a functional in vitro test for assessing the ability of antibodies in serum to bind and prevent infection of cultured cells with rabies virus (RABV). The RFFIT is a labor intensive, low throughput and semi-quantitative assay performed by trained laboratorians. It requires staining of RABV-infected cells by rabies specific fluorescent antibodies and manual quantification of fluorescent fields for titer determination. Although the quantification of fluorescent fields observed in each sample is recorded, the corresponding images are not stored or captured to be used for future analysis. To circumvent several of these disadvantages, we have developed an alternative, automated high throughput neutralization test (HTNT) for determination of rabies VNAs based on green fluorescent protein (GFP) expression by a recombinant RABV and compared with the RFFIT. The HTNT assay utilizes the recombinant RABV ERA variant expressing GFP with a nuclear localization signal (NLS) for efficient quantification. The HTNT is a quantitative method where the number of RABV-infected cells are determined and the images are stored for future analysis. Both RFFIT and HTNT results correlated 100% for a panel of human and animal positive and negative rabies serum samples. Although, the VNA titer values are generally agreeable, HTNT titers tend to be lower than that of RFFIT, probably due to the differences in quantification methods. Our data demonstrates the potential for HTNT assays in determination of rabies VNA titers.
Keyphrases
- high throughput
- induced apoptosis
- quantum dots
- living cells
- cell cycle arrest
- label free
- deep learning
- single cell
- endothelial cells
- poor prognosis
- randomized controlled trial
- molecularly imprinted
- systematic review
- high resolution
- endoplasmic reticulum stress
- machine learning
- oxidative stress
- optical coherence tomography
- solid phase extraction
- loop mediated isothermal amplification
- binding protein
- convolutional neural network
- zika virus
- long non coding rna
- electronic health record
- pi k akt
- climate change
- cell proliferation
- amino acid
- dengue virus
- pluripotent stem cells
- ionic liquid
- flow cytometry