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通过免疫荧光染色和流式细胞术测定感染细胞中蓝舌病毒结构蛋白和非结构蛋白的时间性出现情况。

Temporal appearance of structural and nonstructural bluetongue viral proteins in infected cells, as determined by immunofluorescence staining and flow cytometry.

作者信息

Whetter L E, Gebhard D H, MacLachlan N J

机构信息

Department of Microbiology, School of Veterinary Medicine, North Carolina State University, Raleigh 27606.

出版信息

Am J Vet Res. 1990 Aug;51(8):1174-9.

PMID:2167029
Abstract

The temporal appearance of 4 viral proteins was detected in bluetongue virus (BTV)-infected Vero cells by indirect immunofluorescence staining with monoclonal antibodies (MAb) to BTV structural proteins VP2 and VP7 and nonstructural proteins NS1 and NS2. Bluetongue viral proteins were detected at distinct intervals after inoculation of Vero cells; VP7 was first detected 3 hours after inoculation, NS1 and NS2 at 5 hours after inoculation, whereas VP2 was not detected until 8 hours after inoculation. Patterns of fluorescence varied with the fixative used, but each MAb induced a distinct pattern of fluorescence in infected cells. Flow cytometry, which was used with each of the 4 MAb, proved to be an accurate and sensitive method of detecting BTV-infected P3 mouse myeloma cells. The temporal appearance of each viral protein in BTV-infected P3 cells was similar to that detected in BTV-infected Vero cells. Advantages of flow cytometry over conventional immunofluorescence staining to detect BTV-infected cells included: (1) enumeration of the proportion of infected cells in a population; (2) further characterization of infected cells, including estimates of their viability; and (3) computer-assisted storage and analysis of data obtained.

摘要

通过用针对蓝舌病毒(BTV)结构蛋白VP2和VP7以及非结构蛋白NS1和NS2的单克隆抗体(MAb)进行间接免疫荧光染色,在感染BTV的非洲绿猴肾(Vero)细胞中检测到4种病毒蛋白的出现时间。在接种Vero细胞后的不同时间间隔检测到蓝舌病毒蛋白;接种后3小时首次检测到VP7,接种后5小时检测到NS1和NS2,而直到接种后8小时才检测到VP2。荧光模式随所用固定剂的不同而变化,但每种单克隆抗体在感染细胞中诱导出独特的荧光模式。使用这4种单克隆抗体中的每一种进行的流式细胞术被证明是检测感染BTV的P3小鼠骨髓瘤细胞的准确且灵敏的方法。在感染BTV的P3细胞中每种病毒蛋白的出现时间与在感染BTV的Vero细胞中检测到的相似。流式细胞术相对于传统免疫荧光染色检测感染BTV细胞的优势包括:(1)计数群体中感染细胞的比例;(2)进一步表征感染细胞,包括估计其活力;(3)对所获得数据进行计算机辅助存储和分析。

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