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Circadian rhythms have a profound effect on lung function and immune-inflammatory response in chronic airway diseases. Thus, understanding the molecular mechanisms of circadian gene expression of core clock-controlled genes (CCGs) may help better understand how it contributes to the physiology and pathology of lung diseases. Ongoing studies have been analyzing gene expression levels of CCGs in mouse lungs using quantitative real-time PCR (qRT-PCR). However, to date, there are no reports on the most stable reference gene in the mouse lung for circadian studies. Herein, we utilized an acute house dust mite (HDM)-sensitization mouse model to evaluate the stability of 10 reference genes commonly used for qRT-PCR normalization using 5 unique algorithms: GeNorm, NormFinder, BestKeeper, RefFinder and Qbase+.  Rn18s  was determined as the most stable reference gene across all samples evaluated, and  Actb , the least stable reference gene. Furthermore, CircWave analysis showed no diurnal variation in the expression pattern for  Rn18s  but  Actb  showed strong diurnal changes in the lungs of both PBS (control) and HDM groups. We demonstrate systematically how using  Actb  as a housekeeping gene offsets the diurnal expression patterns of the CCGs and leads to statistically significant results which may not be the true reflection of the qRT-PCR analysis.

Evaluation of stable reference genes for qPCR normalization in circadian studies related to lung inflammation and injury in mouse model