Validation of reference genes for whole blood gene expression analysis in cord blood of preterm and full-term neonates and peripheral blood of healthy adults.
Kristin HieronymusBenjamin DorschnerFelix SchulzeNeeta L VoraJoel S ParkerJennifer Lucia WinklerAngela Rösen-WolffStefan WinklerPublished in: BMC genomics (2021)
The current study identified suitable normalization factors and proposed the use of the additional single gene RPLP0 to avoid systematic bias. This combination will enable comparative analyses not only between neonates of different gestational ages, but also between neonates and adults, as it facilitates more detailed investigations of developmental gene expression changes. The use of software algorithms did not prevent unintended systematic bias. This generally highlights the need for careful validation of such results to prevent false interpretation of potential age-dependent changes in gene expression. To identify the most stable reference genes in the future, RNA-seq based global approaches are recommended.
Keyphrases
- gene expression
- rna seq
- low birth weight
- cord blood
- dna methylation
- genome wide
- peripheral blood
- preterm infants
- single cell
- genome wide identification
- machine learning
- preterm birth
- gestational age
- genome wide analysis
- weight gain
- copy number
- deep learning
- pregnant women
- body mass index
- risk assessment
- transcription factor
- weight loss