Identification of optimal reference genes for gene expression studies in a focal cerebral ischaemia model-Spatiotemporal effects.
Bartosz PomiernyWeronika KrzyzanowskaJakub JurczykBeata StrachAlicja SkorkowskaInnesa LeonovichBogusława BudziszewskaJoanna PeraPublished in: Journal of cellular and molecular medicine (2022)
A proper reference gene (RG) is required to reliably measure mRNA levels in biological samples via quantitative reverse transcription PCR (RT-qPCR). Various experimental paradigms require specific and stable RGs. In studies using rodent models of brain ischaemia, a variety of genes, such as β-actin (Actb), hypoxanthine phosphoribosyltransferase 1 (Hprt1), peptidyl-propyl isomerase A (Ppia) and glyceraldehyde-3-phosphate dehydrogenase (Gapdh), are used as RGs. However, most of these genes have not been validated in specific experimental settings. The aim of this study was to evaluate the time- and brain region-dependent expression of RG candidates in a rat model of transient middle cerebral artery occlusion (tMCAO). The following genes were selected: Actb, Hprt1, Ppia, Gapdh, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta (Ywhaz) and beta-2 microglobulin (B2m). Focal cerebral ischaemia was induced by 90 min of tMCAO in male Sprague-Dawley rats. Expression was investigated at four time points (12 and 24 h; 3 and 7 days) and in three brain areas (the frontal cortex, hippocampus and dorsal striatum) within the ischaemic brain hemisphere. The RT-qPCR results were analysed using variance analysis and the ΔCt, GeNorm, NormFinder and BestKeeper methods. Data from these algorithms were ranked using the geometric mean of ranks of each analysis. Ppia, Hprt1 and Ywhaz were the most stable genes across the analysed brain areas and time points. B2m and Actb exhibited the greatest fluctuations, and the results for Gapdh were ambiguous.
Keyphrases
- cerebral ischemia
- resting state
- genome wide
- functional connectivity
- bioinformatics analysis
- white matter
- genome wide identification
- gene expression
- middle cerebral artery
- dna methylation
- subarachnoid hemorrhage
- poor prognosis
- genome wide analysis
- computed tomography
- binding protein
- machine learning
- high resolution
- neuropathic pain
- spinal cord
- spinal cord injury
- long non coding rna
- working memory
- case control
- cognitive impairment
- small molecule
- electronic health record
- high speed
- data analysis