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Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients

ABSTRACT: Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients

PROVIDER: PRJNA414616 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR6182240.fastq.gz	Fastqsanger.gz
	SRR6182250.fastq.gz	Fastqsanger.gz
	SRR6182260.fastq.gz	Fastqsanger.gz
	SRR6182270.fastq.gz	Fastqsanger.gz
	SRR6182280.fastq.gz	Fastqsanger.gz

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Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients

Project description:Friedreich’s ataxia (FRDA; OMIM 229300), an autosomal recessive neurodegenerative mitochondrial disease, is the most prevalent hereditary ataxia. In addition, FRDA patients showed 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. In this data set, using small RNA-sequencing of small RNA purified from plasma samples of FRDA patients and controls we identified differential expression of miRNAs (hsa-miR-128-3p, hsa-miR-625-3p, hsa-miR-130b-5p, hsa-miR-151a-5p, hsa-miR-330-3p, hsa-miR-323a-3p, and hsa-miR-142-3p) between both groups. In addition, we found that miR-323a-3p can be used as a biomarker for differentiation of FRDA patients with cardiac problems. Identification of miRNA signatures could therefore provide new molecular explanation for pathological mechanisms occurring during the natural history of the FRDA. Since miRNA levels change with disease progression and pharmacological interventions, miRNAs will contribute to design new therapeutic strategies and improve clinical decisions. Plama miRNA profiles of 25 Friedreich's ataxia patients and 17 healthy subjects were generated by deep sequencing using Illumina HiScan SQ.

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Project description: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.

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