Abstract

ABSTRACTFriedreich's ataxia (FRDA) is an autosomal recessive neurodegenerative disease usually caused by large homozygous expansions of GAA repeat sequences in intron 1 of the frataxin (FXN) gene. FRDA patients homozygous for GAA expansions have low FXN mRNA and protein levels when compared with heterozygous carriers or healthy controls. Frataxin is a mitochondrial protein involved in iron–sulfur cluster synthesis, and many FRDA phenotypes result from deficiencies in cellular metabolism due to lowered expression of FXN. Presently, there is no effective treatment for FRDA, and biomarkers to measure therapeutic trial outcomes and/or to gauge disease progression are lacking. Peripheral tissues, including blood cells, buccal cells and skin fibroblasts, can readily be isolated from FRDA patients and used to define molecular hallmarks of disease pathogenesis. For instance, FXN mRNA and protein levels as well as FXN GAA-repeat tract lengths are routinely determined using all of these cell types. However, because these tissues are not directly involved in disease pathogenesis, their relevance as models of the molecular aspects of the disease is yet to be decided. Herein, we conducted unbiased RNA sequencing to profile the transcriptomes of fibroblast cell lines derived from 18 FRDA patients and 17 unaffected control individuals. Bioinformatic analyses revealed significantly upregulated expression of genes encoding plasma membrane solute carrier proteins in FRDA fibroblasts. Conversely, the expression of genes encoding accessory factors and enzymes involved in cytoplasmic and mitochondrial protein synthesis was consistently decreased in FRDA fibroblasts. Finally, comparison of genes differentially expressed in FRDA fibroblasts to three previously published gene expression signatures defined for FRDA blood cells showed substantial overlap between the independent datasets, including correspondingly deficient expression of antioxidant defense genes. Together, these results indicate that gene expression profiling of cells derived from peripheral tissues can, in fact, consistently reveal novel molecular pathways of the disease. When performed on statistically meaningful sample group sizes, unbiased global profiling analyses utilizing peripheral tissues are critical for the discovery and validation of FRDA disease biomarkers.

Highlights

  • Friedreich’s ataxia is the most prevalent inherited ataxia in humans, with a population frequency of 1-2:50,000 (Campuzano et al, 1996), and is caused by deficient levels of the mitochondrial protein frataxin (Campuzano et al, 1997)

  • The RNA samples analyzed were prepared from 16 primary fibroblast Friedreich’s ataxia (FRDA) cell lines and two unaffected individual (CTRL) cell lines currently held in our repository (Li et al, 2016), along with 15 primary CTRL fibroblast cell lines and two FRDA lines acquired from Coriell Cell Repositories (Table S1)

  • The results show that these genes have high expression stability, with YWHAZ and NONO as the two most stably expressed genes. These results indicate that selection of gene expression normalizers should involve the rigorous evaluation of several genes in multiple CTRL and FRDA patient samples

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Summary

Introduction

Friedreich’s ataxia ( known as FRDA or FA; OMIM229300) is the most prevalent inherited ataxia in humans, with a population frequency of 1-2:50,000 (Campuzano et al, 1996), and is caused by deficient levels of the mitochondrial protein frataxin (encoded by FXN) (Campuzano et al, 1997). The majority of FRDA patients are homozygous for large expansions of GAA repeat sequences in intron 1 of the FXN gene, whereas a small fraction of patients are compound heterozygotes with an expanded GAA repeat sequence in one FXN allele and a missense or nonsense mutation in the other (Cossée et al, 1999). Both types of lesions result in reduced levels of FXN mRNA and protein when compared with heterozygous carriers and healthy controls. The age of disease onset has been repeatedly linked with the length of the shorter of the two expanded GAA repeats in FXN (GAA1) (Campuzano et al, 1997; Deutsch et al, 2010; Lazaropoulos et al, 2015), additional molecular markers that correlate with disease features are lacking in the field

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