| Literature DB >> 29682543 |
Xiangju Wu1,2, Jing Qi2, Xiaoyan Cong2, Lei Chen2, Yue Hu2, Dongwan Yoo3, Guisheng Wang4, Fulin Tian4, Feng Li5, Wenbo Sun2, Zhi Chen2, Lihui Guo2, Jiaqiang Wu2, Jun Li2, Jinbao Wang1,2, Xiaomin Zhao1, Yijun Du2.
Abstract
Isolation and identification of diverse porcine reproductive and respiratory syndrome viruses (PRRSVs) play a fundamental role in PRRSV research and disease management. However, PRRSV has a restricted cell tropism for infection. MARC-145 cells are routinely used for North American genotype PRRSV isolation and vaccine production. But MARC-145 cells have some limitations such as low virus yield. CD163 is a cellular receptor that mediates productive infection of PRRSV in various nonpermissive cell lines. In this study, we established a high and stable porcine CD163- (pCD163-) expressing MARC-145 cell line toward increasing its susceptibility to PRRSV infection. Indirect immunofluorescence assay (IFA) and Western blotting assays showed that pCD163 was expressed higher in pCD163-MARC cell line than MARC-145 cells. Furthermore, the ability of pCD163-MARC cell line to propagate PRRSV was significantly increased as compared with MARC-145 cells. Finally, we found that pCD163-MARC cell line had a higher isolation rate of clinical PRRSV samples and propagated live attenuated PRRS vaccine strains more efficiently than MARC-145 cells. This pCD163-MARC cell line will be a valuable tool for propagation and research of PRRSV.Entities:
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Year: 2018 PMID: 29682543 PMCID: PMC5841097 DOI: 10.1155/2018/4315861
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1IFA analysis of the expression of pCD163 in MARC-145 (a) or pCD163-MARC cells (b) using mouse anti-pCD163 monoclonal antibody.
Figure 2(a) Identification of the expression level of pCD163 in MARC-145 and pCD163-MARC cells by Western blotting. Anti-pCD163 antibody was used to detect the expression level of pCD163 in MARC-145 (lane 1) and pCD163-MARC cells (lane 2). β-Actin was used as loading control. The data presented here were results from one experiment of three Western blotting experiments. (b) Densitometry analysis of the digital image from three independent experiments. The band intensities were shown as the relative protein expression levels, normalized with β-actin. Error bars indicate the standard deviations of three experiments.
Figure 3The growth curves of MARC-145 and pCD163-MARC cells. Cells were seeded at a concentration of 1 × 104 cells/well and the average cell count at each time point was plotted against time. The data represent the means of three independent experiments, with each experiment performed in triplicate. Error bars indicate the standard deviations of three experiments.
Figure 4Growth kinetics of PRRSV in pCD163-MARC and MARC-145 cells. Growth curves of PRRSV classical strain S1 (a) and highly pathogenic strain SY0608 (b) were determined independently in pCD163-MARC and MARC-145 cells. pCD163-MARC and MARC-145 cells were individually infected with PRRSV at an MOI of 1 for 1 h. Culture supernatants were collected at the indicated times and virus titers were determined. The data represent the means of three independent experiments, with each experiment performed in triplicate. Error bars indicate the standard deviations of three experiments. P < 0.05.
Figure 5Real-time PCR analysis of PRRSV in pCD163-MARC and MARC-145 cells. pCD163-MARC and MARC-145 cells were individually infected with PRRSV classical strain S1 (a) and highly pathogenic strain SY0608 (b) at an MOI of 1 for 1 h. RNA was extracted from culture supernatants collected at the indicated times and subjected to SYBR Green real-time PCR. The relative PRRSV RNA levels of samples were determined by linear extrapolation of the Ct value plotted against the standard curve. The data represent the means of three independent experiments, with each experiment performed in triplicate. Error bars indicate the standard deviations of three experiments. P < 0.05.
PRRSV isolation rate of MARC-145 cells and pCD163-MARC cells.
| Clinical PRRSV positive samples | PRRSV isolation rate | |
|---|---|---|
| MARC-145 | pCD163-MARC | |
| Jun 1, 2012–Dec 31, 2012, | 88.1% (52/59) | 100% (59/59) |
| Jan 1, 2013–Dec 31, 2013, | 86.5% (83/96) | 100% (96/96) |
| Jan 1, 2014–Dec 31, 2014, | 86.4% (89/103) | 99.0% (102/103) |
| Jan 1, 2015–Dec 31, 2015, | 85.8% (91/106) | 99.1% (105/106) |
| Jan 1, 2016–Dec 31, 2016, | 85.7% (96/112) | 98.2% (110/112) |
| Total PRRSV isolation rate | 86.3% (411/476) | 99.2% (472/476) |
Figure 6IFA analysis of N protein expression of 5th-passage PRRSV in MARC-145 and pCD163-MARC cells using anti-N MAb SDOW17.
Ability of pCD163-MARC and MARC-145 cells to produce PRRS vaccine virus.
| Cells | Infected PRRSV strain | Harvest time | Virus titera |
|---|---|---|---|
| pCD163-MARC | R98 | 96 h | 1 × 108.8±0.2 TCID50/mL |
| MARC-145 | R98 | 96 h | 1 × 108.0±0.3 TCID50/mL |
| pCD163-MARC | JXA1-R | 96 h | 1 × 108.5±0.1 TCID50/mL |
| MARC-145 | JXA1-R | 96 h | 1 × 107.6±0.2 TCID50/mL |