Batra Ambalika, Maier Helena J, Fife Mark S
a Avian Viral Diseases , The Pirbright Institute , Pirbright , UK.
b Institute of Infection and Global Health, University of Liverpool , Liverpool , UK.
Avian Pathol. 2017 Apr;46(2):173-180. doi: 10.1080/03079457.2016.1235258. Epub 2016 Dec 7.
Infectious bronchitis virus (IBV) causes infectious bronchitis in poultry, a respiratory disease that is a source of major economic loss to the poultry industry. Detection and the study of the molecular pathogenesis of the virus often involve the use of real-time quantitative PCR assays (qPCR). To account for error within the experiments, the levels of target gene transcription are normalized to that of suitable reference genes. Despite publication of the MIQE (Minimum Information for Publication of Quantitative Real-Time PCR Experiments) guidelines in 2009, single un-tested reference genes are often used for normalization of qPCR assays in avian research studies. Here, we use the geNorm algorithm to identify suitable reference genes in different avian cell types during infection with apathogenic and pathogenic strains of IBV. We discuss the importance of selecting an appropriate experimental sample subset for geNorm analysis, and show the effect that this selection can have on resultant reference gene selection. The effects of inappropriate normalization on the transcription pattern of a cellular signalling gene, AKT1, and the interferon-inducible, MX1, were studied. We identify the possibility of the misinterpretation of qPCR data when an inappropriate normalization strategy is employed. This is most notable when measuring the transcription of AKT1, where changes are minimal during infection.
传染性支气管炎病毒(IBV)可引发家禽的传染性支气管炎,这是一种呼吸系统疾病,给家禽业造成重大经济损失。对该病毒的检测及分子发病机制的研究通常涉及实时定量PCR检测(qPCR)。为了校正实验误差,需将目标基因转录水平标准化至合适的内参基因水平。尽管2009年发布了MIQE(定量实时PCR实验发表的最低信息要求)指南,但在禽类研究中,单个未经测试的内参基因常被用于qPCR检测的标准化。在此,我们运用geNorm算法,在感染致病性和非致病性IBV毒株期间,鉴定不同禽类细胞类型中合适的内参基因。我们讨论了为geNorm分析选择合适实验样本子集的重要性,并展示了这种选择对最终内参基因选择的影响。研究了不恰当标准化对细胞信号基因AKT1和干扰素诱导基因MX1转录模式的影响。我们发现,采用不恰当的标准化策略时,qPCR数据可能会被误读。在测量AKT1转录时,这种情况最为明显,因为感染期间其变化极小。