Identification of stably expressed Internal Control Genes (ICGs) for normalization of expression data in liver of C57BL/6 mice injected with beta casomorphins.
Anurag KumarMonika SodhiManishi MukeshAmandeep KaurGaurav BhakriVipul ChaudharyPreeti SwamiVishal SharmaAshok Kumar MohantyRanjit S KatariaPublished in: PloS one (2023)
In recent years, beta-casomorphin peptides (BCM7/BCM9) derived from the digestion of cow milk have drawn a lot of attention world over because of their proposed impact on human health. In order to evaluate the transcriptional modulation of target genes through RT-qPCR in response to these peptides, availability of appropriate reference or internal control genes (ICGs) will be the key. The present study was planned to identify a panel of stable ICGs in the liver tissue of C57BL/6 mice injected with BCM7/BCM9 cow milk peptides for 3 weeks. A total of ten candidate genes were evaluated as potential ICGs by assessing their expression stability using software suites; geNorm, NormFinder and BestKeeper. The suitability of the identified ICGs was validated by assessing the relative expression levels of target genes, HP and Cu/Zn SOD. Based on geNorm, PPIA and SDHA gene pair was identified to be most stably expressed in liver tissue during the animal trials. Similarly, NormFinder analysis also identified PPIA as the most stable gene. BestKeeper analysis showed crossing point SD value for all the genes in the acceptable range that is closer to 1. Overall, the study identified a panel of stable ICGs for reliable normalization of target genes expression data in mice liver tissues during BCM7/9 peptides trial.
Keyphrases
- genome wide
- genome wide identification
- bioinformatics analysis
- poor prognosis
- human health
- genome wide analysis
- transcription factor
- risk assessment
- electronic health record
- gene expression
- clinical trial
- long non coding rna
- climate change
- type diabetes
- machine learning
- big data
- oxidative stress
- preterm birth
- dairy cows
- metabolic syndrome