Systematic analysis of candidate reference genes for gene expression analysis in hyperoxia-based mouse models of bronchopulmonary dysplasia.
Mary LingeMarius A MöbiusAngela Rösen-WolffStefan WinklerPublished in: American journal of physiology. Lung cellular and molecular physiology (2021)
Bronchopulmonary dysplasia (BPD) is a chronic lung disease of preterm infants. Mouse models of hyperoxia-induced lung injury are often used to study pathogenesis and potential therapeutic approaches of BPD. Beside histological studies, gene expression analysis of lung tissue is typically used as experimental readout. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is the standard method for gene expression analysis; however, the accuracy of the quantitative data depends on the appropriate selection of reference genes. No data on validated reference genes for hyperoxia-induced neonatal lung injury in mice are available. In this study, 12 potential reference genes were systematically analyzed for their expression stability in lung tissue of neonatal mice exposed to room air or hyperoxia and healthy adult controls using published software algorithms. Analysis of gene expression data identified Hprt, Tbp, and Hmbs as the most stable reference genes and proposed combinations of Hprt/Sdha or Hprt/Rpl13a as potential normalization factors. These reference genes and normalization factors were validated by comparing Il6 gene and protein expression and may facilitate accurate gene expression analysis in lung tissues of similar designed studies.
Keyphrases
- genome wide identification
- gene expression
- genome wide
- transcription factor
- dna methylation
- preterm infants
- genome wide analysis
- bioinformatics analysis
- electronic health record
- copy number
- mouse model
- poor prognosis
- machine learning
- high resolution
- type diabetes
- randomized controlled trial
- drug induced
- high glucose
- metabolic syndrome
- oxidative stress
- binding protein
- long non coding rna
- data analysis
- mass spectrometry
- adipose tissue
- artificial intelligence
- endothelial cells
- high fat diet induced
- insulin resistance