Abstract

The molecular mechanisms underlying epileptogenesis have been widely investigated by differential gene expression approach, especially RT-qPCR methodology. However, controversial findings highlight the occurrence of unpredictable sources of variance in the experimental designs. Here, we investigated if diurnal rhythms of transcript’s levels may impact on differential gene expression analysis in hippocampus of rats with experimental epilepsy. For this, we have selected six core clock genes (Per1, Per3, Bmal1, Clock, Cry1 and Cry2), whose rhythmic expression pattern in hippocampus had been previously reported. Initially, we identified Tubb2a/Rplp1 and Tubb2a/Ppia as suitable normalizers for circadian studies in hippocampus of rats maintained to 12:12 hour light:dark (LD) cycle. Next, we confirmed the temporal profiling of Per1, Per3, Bmal1, Cry1 and Cry2 mRNA levels in the hippocampus of naive rats by both Acrophase and CircWave statistical tests for circadian analysis. Finally, we showed that temporal differences of sampling can change experimental results for Per1, Per3, Bmal1, Cry1 and Cry2, but not for Clock, which was consistently decreased in rats with epilepsy in all comparison to the naive group. In conclusion, our study demonstrates it is mandatory to consider diurnal oscillations, in order to avoid erroneous conclusions in gene expression analysis in hippocampus of rats with epilepsy. Investigators, therefore, should be aware that genes with circadian expression could be out of phase in different animals of experimental and control groups. Moreover, our results indicate that a sub-expression of Clock may be involved in epileptogenicity, although the functional significance of this remains to be investigated.

Highlights

  • Mesial temporal lobe epilepsy (MTLE) is a chronic disease characterized by spontaneous and recurrent seizures (SRS)

  • Our first aim was to identify genes that could be used as normalizers for Real-time quantitative RT-PCR (RT-qPCR) analysis in hippocampus of Wistar rats throughout a 12:12 light-dark cycle

  • We evaluated expression stability of the candidate genes in hippocampus samples harvest at different Zeitgeber time units (ZT), using geNorm doi:10.1371/journal.pone.0141121.g001

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Summary

Introduction

Mesial temporal lobe epilepsy (MTLE) is a chronic disease characterized by spontaneous and recurrent seizures (SRS). Real-time quantitative RT-PCR (RT-qPCR) is the dominant quantitative technique for analyzing RNA abundance because of its accuracy, sensitivity, specificity and speed [5,6,7,8] In this type of analysis, the impact of experimental variations caused by technical (e.g., pipetting errors, reverse transcription efficiency, RNA quality and suitable normalizer) or biological (e.g., age, sex, tissue) factors can lead to inaccurate results and erroneous conclusions [9,10]. We examined if temporal differences have an effect on results of differential expression analysis in the hippocampus of the Pilocarpine-induced epileptic rats This model has been widely used for the study of the pathogenesis of temporal lobe epilepsy and to evaluate potential antiepileptogenic drugs [33]

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