Effect of Savirin or Ticagrelor Treatment on the Expression of Commonly Used Reference Genes in Staphylococcus aureus .
Narayan PantCatherine RushJeffrey WarnerDamon P EisenPublished in: Microorganisms (2023)
Reference genes are frequently used for the normalization of quantitative reverse transcriptase PCR (qRTPCR) data in gene expression studies. Staphylococcus aureus is one of the most common causes of biofilm-related infections. Savirin and ticagrelor show in vitro as well as in vivo antibiofilm activity against S. aureus . The main aim of this study was to identify the most stably expressed reference genes to study the effect of these molecules on genes in a strong biofilm producing S. aureus isolate isolated from biofilm-related infection. Quantitative real-time PCR was performed by using relative quantification method. Four different algorithms, delta Ct, normfinder, bestkeeper, and genorm, followed by a comprehensive analysis was used to identify the most stable reference genes from a list of sixteen different candidate reference genes. All four algorithms reported different results, with some comparable findings among some methods. In the comprehensive analysis of the results of all the algorithms used, the most stable reference genes found were spa , rpoD , and pyk for savirin treatment experiment and gapdH , gyrA , and gmk for ticagrelor treatment experiment. The optimal number of reference genes required was two for both the experimental conditions. Despite having some drawbacks, each algorithm can reliably determine an appropriate reference gene independently. However, based on consensus ranking and the required optimal number of reference genes reported, spa and rpoD were the most appropriate reference genes for savirin treatment experiment, and gapdH and gyrA were most appropriate for ticagrelor treatment experiment. This study provides baseline data on reference genes to study the effect of savirin or ticagrelor treatment on the expression of potential reference genes in S. aureus . We recommend prior re-validation of reference genes on a case-by-case basis before they can be used.
Keyphrases
- genome wide
- staphylococcus aureus
- genome wide identification
- bioinformatics analysis
- gene expression
- machine learning
- acute coronary syndrome
- percutaneous coronary intervention
- dna methylation
- poor prognosis
- combination therapy
- deep learning
- coronary artery disease
- magnetic resonance imaging
- antiplatelet therapy
- cystic fibrosis
- biofilm formation
- risk assessment
- st elevation myocardial infarction
- transcription factor
- copy number
- real time pcr
- magnetic resonance
- mass spectrometry
- positron emission tomography
- atrial fibrillation
- artificial intelligence
- big data
- replacement therapy
- drug induced
- data analysis