Abstract
The course of hypertension remains poorly understood, although impairment of the sympathetic nervous systems is thought to play a role in its aetiology. In this study, RNA-sequencing (RNAseq) was used to identify transcriptomal differences in the sympathetic stellate ganglia between 16-week-old normotensive Wistar rats and spontaneously hypertensive rats (SHR). Sequencing quality was assessed by FastQC and quasi-mapping rate by Salmon. Differential expression results were confirmed by real time reverse transcriptase Quantitative Polymerase Chain Reaction (qRT-PCR). RNAseq analysis was found to be predictive and representative of transcriptomal changes when compared to qRT-PCR by correlation analysis. Whether these changes underpin physiological sympathetic phenotypes associated with hypertension remains to be established, however this dataset identifies lead transcripts as a priori targets for further investigation.
Highlights
Background & SummaryHypertension represents one of the biggest killers in the developed world, yet its underlying aetiology is poorly understood[1]
The spontaneously hypertensive rat (SHR) is one of the most commonly studied experimental models of idiopathic hypertension[5,6], with a disease progression mirroring that of the typical clinical phenotype[7]
Quality control assessment of the data and the differential expression analysis revealed the sequencing to be accurate. Together these results suggest that our RNAseq data are predictive of gene expression changes in the stellate ganglia in hypertension, and that the data enables further molecular characterisation
Summary
Hypertension represents one of the biggest killers in the developed world, yet its underlying aetiology is poorly understood[1]. The development of a hypertensive phenotype occurs from age 5-6 weeks in the SHR8–10 and is well established by the 16-week time point[9,11] This model is derived from the same Wistar colony as the inbred Wistar-Kyoto (WKY) normotensive strain[8], with both Wistar and WKY deemed relevant controls[12,13]. Quality control assessment of the data and the differential expression analysis revealed the sequencing to be accurate Together these results suggest that our RNAseq data are predictive of gene expression changes in the stellate ganglia in hypertension, and that the data enables further molecular characterisation
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