Technical note: Evaluation of endogenous control gene expression in bovine neutrophils by reverse-transcription quantitative PCR using microfluidics gene expression arrays

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Abstract

Reverse-transcription quantitative-PCR (RT-qPCR) is commonly used for assessing the cellular response to changes in physiologic and pathologic conditions. The selection of stable endogenous control genes is an important step of any RT-qPCR study, as expression can vary depending on the experimental environment. Our objective was to identify endogenous control genes in circulating neutrophils isolated from cows during the peripartum period. To do this, we used microfluidics gene expression arrays (Fluidigm, San Francisco, CA) for RT-qPCR analysis. Selection of the endogenous control genes was based on previous research investigating gene expression in neutrophils. The selected genes included ACTB, B2M, G6PD, GAPDH, GCH1, GOLGA5, OSBPL2, PGK1, RPL13A, RPL19, RPS9, SDHA, SMUG1, SNRPA, TBP, UXT, and YWHAZ. Four genes (GAPDH, GOLGA5, PGK1, and UXT) did not provide satisfactory quantification results using the selected method and were therefore excluded from the analyses. The suitability of the remaining 13 genes for use as endogenous control genes was assessed using geNorm and Normfinder. The gene pair with the greatest stability using geNorm was RPL13A and RPL19, whereas Normfinder ranked RPL19 and YWHAZ as the most stable pair. The 2 genes deemed most suitable for the experimental design were RPL19 and YWHAZ, which were selected for subsequent gene expression analysis. This study highlights that genes used as endogenous controls for relative quantification should be assessed on an experimental basis, even if the genes have been used in previous research.

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Crookenden, M. A., Walker, C. G., Kuhn-Sherlock, B., Murray, A., Dukkipati, V. S. R., Heiser, A., & Roche, J. R. (2017). Technical note: Evaluation of endogenous control gene expression in bovine neutrophils by reverse-transcription quantitative PCR using microfluidics gene expression arrays. Journal of Dairy Science, 100(8), 6763–6771. https://doi.org/10.3168/jds.2016-12460

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