Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients.
Marta Seco-CerveraDayme González-RodríguezJosé Santiago Ibáñez-CabellosLorena Peiró-ChovaFederico V PallardóJosé Luis García-GiménezPublished in: Scientific data (2018)
Friedreich's ataxia (FRDA; OMIM 229300), an autosomal recessive neurodegenerative mitochondrial disease, is the most prevalent hereditary ataxia. In addition, FRDA patients have shown additional non-neurological features such as scoliosis, diabetes, and cardiac complications. Hypertrophic cardiomyopathy, which is found in two thirds of patients at the time of diagnosis, is the primary cause of death in these patients. Here, we used small RNA-seq of microRNAs (miRNAs) purified from plasma samples of FRDA patients and controls. Furthermore, we present the rationale, experimental methodology, and analytical procedures for dataset analysis. This dataset will facilitate the identification of miRNA signatures and provide new molecular explanation for pathological mechanisms occurring during the natural history of FRDA. Since miRNA levels change with disease progression and pharmacological interventions, miRNAs will contribute to the design of new therapeutic strategies and will improve clinical decisions.
Keyphrases
- rna seq
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- hypertrophic cardiomyopathy
- cardiovascular disease
- heart failure
- clinical trial
- gene expression
- physical activity
- mass spectrometry
- skeletal muscle
- patient reported outcomes
- dna methylation
- genome wide
- atrial fibrillation
- single molecule
- glycemic control
- weight loss