The present protocol describes the propagation of Zika virus (ZIKV) in Vero African green monkey kidney cells and the quantification of ZIKV using cell-based colorimetric immunodetection methods in 24-well and 96-well (high throughput) formats.
Zika virus (ZIKV) is a mosquito-borne virus belonging to the genus Flavivirus. ZIKV infection has been associated with congenital brain abnormalities and potentially Guillain-Barré syndrome in adults. Research on ZIKV to understand the disease mechanisms is important to facilitate vaccine and treatment development. The method of quantifying viruses is crucial and fundamental in the field of virology. The focus forming assay (FFA) is a virus quantification assay that detects the viral antigen with antibodies and identifies the infection foci of cells using the peroxidase immunostaining technique. The current study describes the virus propagation and quantification protocol using both 24-well and 96-well (high throughput) formats. Compared with other similar studies, this protocol has further described foci size optimization, which can serve as a guide to expand the use of this assay for other viruses. Firstly, ZIKV propagation is performed in Vero cells for 3 days. The culture supernatant containing ZIKV is harvested and quantitated using the FFA. Briefly, the virus culture is inoculated onto Vero cells and incubated for 2-3 days. Foci formation is then determined after optimized staining processes, including cell fixation, permeabilization, blocking, antibody binding, and incubation with peroxidase substrate. The stained virus foci are visualized using a stereo microscope (manual counting in 24-well format) or software analyzer (automated counting in 96-well format). The FFA provides reproducible, relatively fast results (3-4 days) and is suitable to be used for different viruses, including non-plaque-forming viruses. Subsequently, this protocol is useful for the study of ZIKV infection and could be used to detect other clinically important viruses.
Zika virus (ZIKV) infection is an emerging mosquito-borne viral disease. The first isolation of ZIKV was in Uganda in 19471,2; it remained neglected from 1947 to 2007, as the clinical symptoms are most commonly asymptomatic and characterized by self-limiting febrile illness. In 2007, the Zika epidemic began in the Yap islands3,4, followed by larger epidemics in the Pacific regions (French Polynesia, Easter Island, Cook Islands, and New Caledonia) from 2013 to 20145,6,7,8, where the severe neurological complication Guillain-Barré syndrome (GBS) was reported in adults for the first time9. During 2015 and 2016, the first widespread ZIKV epidemic swept across the Americas after the emergence of the Asian genotype of ZIKV in Brazil in as early as 201310. During this outbreak, 440,000 to 1.3 million cases of microcephaly, and other neurological disorders, were reported in newborn babies11. There is currently no specific cure or treatment for ZIKV infection; hence, there is an urgent medical need for ZIKV vaccines capable of preventing infections, particularly during pregnancy.
Virus quantification is a process to determine the number of viruses present in a sample. It plays an important role in research, and academic laboratories involve many fields, such as medicine and life sciences. This process is also important in commercial sectors, such as the production of viral vaccines, recombinant proteins, viral antigens, or antiviral agents. Many methods or assays can be used for virus quantification12. The choice of methods or assays normally depends on the virus characteristics, desired level of accuracy, and the nature of the experiment or research. In general, methods of quantifying viruses can be divided into two categories: molecular assays that detect the presence of viral nucleic acid (DNA or RNA) and assays that measure virus infectivity in vitro12. Quantitative polymerase chain reaction (qPCR, for DNA) or quantitative reverse transcription polymerase chain reaction (qRT-PCR, for RNA)13 and digital droplet PCR14 are examples of common molecular techniques used to quantitate the viral nucleic acid in a given sample15. However, these highly sensitive molecular techniques cannot differentiate between viable and non-viable viruses15. Therefore, research that requires information on biological features, such as virus infectivity on cells, cannot be completed using the abovementioned molecular techniques; assays that can measure and determine the presence of viable viruses are needed. Assays that measure virus infectivity include the plaque forming assay (PFA), 50% tissue culture infectious dose (TCID50), the fluorescent focus assay, and transmission electron microscopy (TEM)12.
The PFA, developed by Renato Dulbecco in 1952, is one of the most commonly used methods for virus titration, including for ZIKV16. It is used to directly determine the viral concentrations for infectious lytic virions. The method is based on the ability of a lytic virus to produce cytopathic effects (CPEs; zones of cell death or plaques, an area of infection surrounded by uninfected cells) in an inoculated cell monolayer after viral infection. However, there are several drawbacks to the assay that affect its utility. The assay is time-consuming (takes approximately 7-10 days, depending on viruses), CPE-dependent, and prone to errors. In the present study, we report an immunocolorimetric technique, the focus forming assay (FFA), for detecting and quantifying ZIKV in 24-well plate and 96-well plate formats.
1. Virus propagation
2. Virus quantification
3. Staining
4. Determination of the virus titer
ZIKV can be quantified using the FFA, as outlined schematically in Figure 3. For the 24-well plate, the infected Vero cells were fixed at 48 h, 60 h, 72 h, 84 h, and 96 h post-infection. The results showed that the cells remained intact (no cell detachment was observed) after 96 h (4 days) post-infection (Figure 4 and Supplementary Figure 8A-E). The appearance of virus foci was first observed at 48 h (2 days) post-infection (Figure 4A-F). However, the foci size was too small, making it difficult to count the foci accurately. The optimal foci size was achieved at 60 h (2.5 days) post-infection (Figure 4B). At the latter time points (72 h, 84 h, and 96 h post-infection), foci were larger and tended to merge or overlap. The merged or overlapped foci increased over time (Figure 4C-E). Therefore, foci formed at 60 h (2.5 days) after the infection were chosen to determine the ZIKV titer in a 24-well plate (Figure 4B).
For the 96-well plate, the infected Vero cells were fixed at 24 h, 36 h, 48 h, 60 h, and 72 h post-infection. The results showed that the cells remained intact after 72 h (3 days) post-infection (Figure 5A-F and Supplementary Figure 9A-E). The appearance of virus foci was first observed at 24 h (1 day) post-infection (Figure 5A). However, the foci size was too small up to 36 h (1.5 days) post-infection, making it difficult to accurately determine the number of foci (Figure 5A,B). The optimal foci size was achieved at 48 h (2 days) post-infection (Figure 5C). At the latter time points (60 h and 72 h post-infection), overlapped or merged foci were observed, and the number of the overlapped foci increased over time (Figure 5D,E). Therefore, foci formed at 48 h (2 days) after the infection were chosen to determine the virus titer of ZIKV isolates (Figure 5C). The foci formation can be visualized and enumerated using commercial software analyzers as an alternative.
Figure 1: Microscopic image of Vero cells. (A) Vero cells in 40x magnification showed70%-90% confluency in a 75 cm2 cell culture flask for virus propagation. (B) CPE on Vero cells after being infected with ZIKV on day 1 post-infection at 100x magnification. (C) CPE on Vero cells after being infected with ZIKV on day 2 post-infection at 100x magnification. (D) CPE on Vero cells after being infected with ZIKV on day 3 post-infection at 100x magnification. (E) Vero cells at 40x magnification showed 70%-90% confluency in a 24-well plate after 24 h of incubation for virus quantification. Scale bar: 100 µm. Please click here to view a larger version of this figure.
Figure 2: Image of a 96-well format scanned, counted, and post-quality control plate using a commercial software analyzer. Please click here to view a larger version of this figure.
Figure 3: Workflow of staining for the foci forming assay. The staining processes including cell fixation, permeabilization, blocking, antibody binding, and incubation with peroxidase substrate. Please click here to view a larger version of this figure.
Figure 4: Foci forming assay for ZIKV P6-740 in 24-well plates at different time points. (A) Foci are less distinct on day 2 (48 h) post-infection. (B) Optimal foci size can be seen on day 2.5 (60 h) post-infection. (C–E) Foci have merged on day 3 (72 h), day 3.5 (84 h), and day 4 (96 h) post-infection. (F) Negative control of the plate. Scale bar: 1,000 µm. Please click here to view a larger version of this figure.
Figure 5: Foci forming assay for ZIKV P6-740 in 96-well plates at different time points. (A) Foci are less distinct to be counted on the commercial software analyzer on day 1 (24 h) post-infection. (B) Foci are less distinct to be counted on the commercial software analyzer on day 1.5 (36 h) post-infection. (C) Optimal foci size can be seen on day 2 (48 h) post-infection. (D,E) Foci have merged on day 2.5 (60 h) and day 3 (72 h) post-infection. (F) Negative control of the plate. Scale bar: 1,000 µm. Please click here to view a larger version of this figure.
Supplementary Figure 1: Screenshots of the startup page of the commercial software analyzer. (A) Switch the suite to any applicable one on the commercial software analyzer. Click "OK" once done. (B) To begin scanning on the commercial software analyzer, click "Scan" and then click "Full plate scan". Please click here to download this File.
Supplementary Figure 2: Screenshots to view "Capture format" and the selected centering mode as "Auto Prealignment User Verified" on the commercial software analyzer. (A) To view the capture format, click "Dashboard" and select the 96-well format as the capture format. (B) For centering mode, select "Auto Prealignment User Verified". Please click here to download this File.
Supplementary Figure 3: 96-well plate placement on the commercial software analyzer plate reader tray and a screenshot to calibrate the positions for wells A1, A12, and H1. (A) Place the plate upward with Row A at the top. (B) To calibrate the positions for wells A1, A12, and H1, use the buttons "Up, Down, Left, Right". Once done, click "Confirm". Please click here to download this File.
Supplementary Figure 4: Screenshots to select folders containing scanned plates for counting on the commercial software analyzer and "Step 2 of 5: Define counting parameters". (A) To count the scanned plates, click "Load plate(s)". Tick the whole folder and click "Select" to import the scanned plates. (B) Adjust the counting parameters. Click "Next" once the parameters are set. Please click here to download this File.
Supplementary Figure 5: Screenshots of the commercial software analyzer "Step 3 of 5: Select/unselect wells" and "Step 4 of 5: Output Settings". (A) Select and unselect the wells to be counted and click "Next" once done. (B) For output settings, click "View/Modify Output Settings" to check if the settings are suitable (e.g., image format). Click "Save and Exit" once done and then click "Next". Please click here to download this File.
Supplementary Figure 6: Screenshots of the commercial software analyzer "Step 5 of 5: Start AutoCount" and quality control page. (A) Once ready for plate counting, click "Start AutoCount". (B) On the quality control page, tick the whole folder to import the counted plate, click "Select", then click "Start QC". Please click here to download this File.
Supplementary Figure 7: Screenshots of the commercial software analyzer quality control page. (A) Double-click each well to audit spots. Click "Count" to remove any spot. Tick "Spots: Remove". (B) Triple left-click to remove spots. Right click to finish, then click "Yes". Please click here to download this File.
Supplementary Figure 8: Foci forming assay for ZIKV P6-740 in 24-well plates at different time points. A tenfold serial dilution (10-1 to 10-5) was performed on ZIKV P6-740 and infection was performed on Vero cells in duplicate, including a negative control. A raw data image was taken using a stereo microscope, with the scale bar indicating 1,000 µm. (A) Day 2 (48 h) post-infection. (B) Day 2.5 (60 h) post-infection. (C) Day 3 (72 h) post-infection. (D) Day 3.5 (84 h) post-infection. (E) Day 4 (96 h) post-infection. Please click here to download this File.
Supplementary Figure 9: Foci forming assay for ZIKV P6-740 in 96-well plates at different timepoints. A tenfold serial dilution (10-1 to 10-5) was performed on ZIKV P6-740 and infection was performed on Vero cells in duplicate, including a negative control. A raw data image was taken using a stereo microscope, with the scale bar indicating 1,000 µm. (A) Day 1 (24 h) post-infection. (B) Day 1.5 (36 h) post-infection. (C) Day 2 (48 h) post-infection. (D) Day 2.5 (60 h) post-infection. (E) Day 3 (72 h) post-infection. Please click here to download this File.
There are several assays to determine virus titer; the PFA has a similar virus quantitation protocol as the FFA, in which the virus inoculum is diluted to allow individual plaques or foci to be distinguished. After staining, each plaque or foci indicates a single infectious particle in the inoculum19. The PFA is stained with crystal violet to visualize plaque formation caused by cell lysis or death. Hence, the PFA is more time-consuming, as it requires a longer time for the virus to cause CPEs, and it is only restricted to the viruses that induce cell lysis or death. Many laboratories have successfully used FFAs to determine infectious virus titers for flaviviruses, including ZIKV19,20,21,22,23,24,25. The FFA is a cell-based colorimetric immunodetection method that detects the viral antigen with antibodies and, therefore, identifies the foci areas of infected cells using the immunostaining technique, but not plaques12,26. The FFA offers some advantages for ZIKV over the PFA. One clear advantage is that it is based on antibody recognition of viral components without discernable CPEs. In addition, using virus-specific antibodies is also useful in identifying different viruses or viral serotypes in mixed populations27. Therefore, the FFA is more specific than the PFA as it measures all the virus infections and is not dependent on the viruses that cause enough cell death to form a visible plaque28. The FFA also has a shorter incubation period than the PFA, which requires an obvious CPE that signifies cell lysis and death. Finally, using a 96-well plate, the FFA method provides the advantage of using more replicates and larger dilutions to detect and titrate the virus27,29. In addition, the reported FFA assay can be easily adapted for virus neutralization tests and methods to screen for antiviral compounds. Incorporating commercial or free automated cell counting instruments or software can further improve the usability (consistency, accuracy, throughput) of the FFA and its associated methods.
When comparing the 24-well plate to the 96-well plate, it is important to note that the 24-well format requires a larger number of cells to be grown in monolayer cultures, as well as larger amounts of media and virus stock. As a result, the 24-well plate format may not be suitable for use with samples with limited volumes. This limitation can be overcome by using the 96-well format, as described in this paper. Firstly, the 96-well format requires less material, making it a more cost-effective option. Additionally, the automated counting of stained virus foci in the 96-well format allows high throughput and rapid analysis, which is not possible in the 24-well format, which requires manual counting. This automated counting process also increases the reproducibility and reduces subjectivity compared to manual counting, leading to more accurate and reliable results of the FFA. Therefore, the 96-well format with automated imaging systems is highly recommended for laboratories that require high throughput and reliable virus quantification.
On the other hand, some people use the immunofluorescent focus assay to detect ZIKV25,27,28,30,31. The immunofluorescence focus assay parallels the FFA, except that it is performed by immunostaining the antigens with fluorochrome-conjugated specific antibodies, followed by the counting of infection foci under a fluorescence microscope25. This assay uses more costly reagents and needs fluorescence microscopy to complete the assay. Therefore, the immunofluorescence focus assay is limited to better-equipped laboratories, such as referral laboratories. It is not easy to use this assay in a resource-challenging setting.
Although the FFA has many advantages, it also has some limitations. Compared to other assays, such as the PFA, the FFA involves more steps during the staining processes. While the steps after fixation are flexible and allow for overnight or longer pauses, the staining of the foci still takes longer to complete. Furthermore, the FFA requires specific or cross-reacting antibodies in the staining process, which limits its applicability for identifying and quantifying new or novel viruses. Moreover, the cost of the FFA is higher compared to the PFA, which only requires crystal violet for staining. In addition to that, it is worth noting that the automated counting process (96-well format) can only be performed in a laboratory with the appropriate equipment; hence, it will be not suitable for laboratories without the necessary equipment.
In conclusion, we report detailed protocols for the propagation and quantification of ZIKV using the cell-based colorimetric immunodetection assay or the FFA in 24-well plate and 96-well plate formats. The method offers a number of practical advantages over the classical PFA. It is faster and amenable for high throughput applications when applied with an automated imaging system for foci counting. The standardization of reliable protocols for this study will greatly contribute to Zika research and can also be broadly adapted to quantify other clinically important viruses.
The authors have nothing to disclose.
This research received support from the Ministry of Higher Education Malaysia under the Long-Term Research Grant Scheme (LRGS MRUN Phase 1: LRGS MRUN/F1/01/2018) and funding for the Higher Institution Centre of Excellence (HICoE) program (MO002-2019). Figure 3 in this study that shows the workflow of staining for the foci forming assay is adapted from "DAB Immunohistochemistry" by BioRender.com (2022). Retrieved from https://app.biorender.com/biorender-templates/t-5f3edb2eb20ace00af8faed9-dab-immunohistochemistry.
0.22 µm Polyethersulfone syringe filter | Sartorius | S6534-FMOSK | |
1.5 mL microcentrifuge tube | Nest | 615601 | |
10 mL sterile serological pipette | Labserv | 14955156 | |
1x Dulbecco’s phosphate-buffered saline (dPBS) | Gibco | 14190-136 | |
2.0 mL Screw cap tube | Axygen | SCT-200-SS-C-S | |
24-well plate | Corning | 3526 | |
25 mL Sterile serological pipettes | Labserv | 14955157 | |
3,3'Diaminobenzidine (DAB) peroxidase substrate | Thermo Scientific | 34065 | |
37 °C incubator with 5% CO2 | Sanyo | MCO-18AIC | |
5 mL sterile serological pipette | Labserv | 14955155 | |
50 mL centrifuge tube | Falcon | LAB352070 | |
75 cm2 tissue culture flask | Corning | 430725U | |
96-well plate | Falcon | 353072 | |
Anti-flavivirus monoclonal antibody, 4G2 (clone D1-4G2-4-15) | MilliporeSigma | MAB10216 | |
Autoclaved 20x Phosphate buffered saline (PBS) | N/A | N/A | 22.8 g of 8 mM Na2HPO4, 4.0 g of 1.5 mM KH2PO4, 160 g of 0.14 M NaCl, 4.0 g of 2.7 mM KCl, 1 L of MilliQ H2O |
Biological safety cabinet, Class II | Holten | HB2448 | |
CTL S6 Universal ELISpot/FluoroSpot Analyzer | ImmunoSpot, Cellular Technology Limited (CTL) | CTL-S6UNV12 | Commercial software analyzer |
Dulbecco's Modified Eagle Medium (DMEM) | Gibco | 12800-017 | |
Fetal bovine serum (FBS) | Bovogen | SFBS | |
Goat anti-mouse IgG secondary antibody conjugated with horseradish peroxidase (HRP) | MilliporeSigma | 12-349 | |
Hemacytometer | Laboroptik LTD | Neubauer improved | |
IGEPAL CA-630 detergent | Sigma-Aldrich | I8896 | Octylphenoxy poly(ethyleneoxy)ethanolIGEPAL |
Inverted microscope | ZEISS | TELAVAL 31 | |
Laboratory rocker | FINEPCR | CR300 | |
L-Glutamine | Gibco | 25030-081 | |
Low viscosity carboxymethyl cellulose (CMC) | Sigma-Aldrich | C5678 | |
Multichannel micropipette (10 – 100 µL) | Eppendorf | 3125000036 | |
Multichannel micropipette (30 – 300 µL) | Eppendorf | 3125000052 | |
Paraformaldehyde | Sigma-Aldrich | P6148 | |
Penicillin-streptomycin | Gibco | 15140-122 | |
Single channel pipettes (10 – 100 µL) | Eppendorf | 3123000047 | |
Single channel pipettes (100 – 1000 µL) | Eppendorf | 3123000063 | |
Single channel pipettes (20 – 200 µL) | Eppendorf | 3123000055 | |
Skim milk | Sunlac Low Fat | N/A | Prepare 3% Skim milk in 1x PBS for blocking stage in staining |
Sodium Hypochlorite | Clorox | N/A | To disinfect any discarded infectious liquid waste from flasks/plates |
Stereomicroscope | Nikon | SMZ1000 | |
Syringe disposable, Luer Lock, 10 mL with 21 G Needle | Terumo | SS10L21G | |
Vero African green monkey kidney cells | – | ECACC 88020401 | Received from collaborator. However, Vero cells obtained from other suppliers should be able to be used with some optimization. |