Background
Friedreich ataxia (FRDA) is an autosomal recessive neurodegenerative disorder caused by GAA repeat expansion mutation within intron 1 of the
FXN gene. This leads to reduced frataxin expression, defective iron-sulphur cluster (ISC) formation, mitochondrial iron accumulation and oxidative stress, with eventual neuronal cell death. Previous studies have reported FRDA fibroblasts to be more sensitive to ionising radiation than control cells, suggesting that FRDA may be a DNA damage response-deficient disorder [
1]. This is supported by gene expression studies of human peripheral blood leukocytes that have indicated involvement of DNA repair pathways in FRDA [
2,
3]. It has also been well documented that oxidative damage to DNA and defects of DNA damage responses can cause accelerated rates of telomere attrition and chromosomal instability [
4]. Furthermore, a recent study of human peripheral blood leukocytes has indicated telomere shortening in FRDA patients compared to healthy controls [
5]. Therefore, we aimed to further investigate telomere maintenance in FRDA cells.
Telomeres play an essential role in the maintenance of genomic stability via chromosome-end protection [
6]. These specialised nucleoprotein structures form a loop to protect the chromosome ends from exonuclease degradation and terminal fusions. Degradation of telomeres can be caused by unresolved end-replication, exonuclease activity or DNA breakage within telomeric sequences due to oxidative damage [
4,
7,
8]. Telomere length maintenance is carried out either by the activity of a telomere-specific DNA polymerase called telomerase or by a telomerase-independent pathway referred to as alternative lengthening of telomeres (ALT) [
6]. ALT cells are characterised by recombinational events at telomeres, known as telomeric sister chromatid exchanges (T-SCE), and co-localisation of telomeres and promyelocytic leukemia protein (PML) nuclear bodies [
9]. It is thought that ALT-associated PML bodies (APBs) could provide templates for replication and recombination-based telomere lengthening to enhance telomere elongation or it may aid in recruitment of proteins to the telomeric regions to facilitate inter-telomeric recombination [
10]. Normal human somatic cells do not have telomerase or ALT activity, thus after a limited number of divisions the cell population undergoes telomere-mediated senescence due to short dysfunctional telomeres [
11]. However, immortalised human cell lines either activate telomerase or engage the ALT mechanism to maintain telomeres through recombination. Therefore, the telomere length is generally stable in these cells since equilibrium exists between telomere degradation and telomere renewal [
6].
Here, we have analysed the telomere length and rate of telomere shortening in FRDA human and transgenic mouse fibroblasts. We report that there is an initial comparative increase of telomere length in FRDA cells due to ALT-like activation, followed by an increased rate of telomere attrition due to telomere dysfunction, which may be caused by a combination of oxidative stress and defective DNA repair mechanisms. We also confirmed the previous report of reduced telomere length in FRDA peripheral blood leukocytes [
5].
Discussion
FRDA cells are known to exhibit increased susceptibility to oxidative stress, an important modulator of telomere length [
4,
16]. Therefore, we hypothesised that telomeres might be shortened in FRDA patient cells. However, our initial results showed that both human and mouse FRDA fibroblasts appear to have significantly longer, rather than shorter, telomere lengths compared to normal control fibroblasts, with the caveats that there is variability within these systems and our results are based on the analysis of only three human and two mouse FRDA cell lines, which have relatively low GAA repeat numbers. This contrasts with the results of a recent study by Castaldo and colleagues that showed significant telomere shortening in human FRDA leukocytes [
5]. Therefore, we further examined telomere length in our own collection of FRDA leukocyte genomic DNA samples to investigate this apparent discrepancy. However, we identified a significantly shortened mean telomere length in FRDA leukocytes compared with controls, which is in good agreement with the previous study by Castaldo and colleagues [
5]. In addition, we showed that the telomere lengths from FRDA cerebellum autopsy tissues were significantly shorter than those of unaffected age-matched controls. However, we identified considerable variation in the telomere lengths of different FRDA patient leukocyte and cerebellum tissue samples and there were no correlations between telomere lengths and age of onset or GAA repeat size, which casts some doubt upon the potential use of telomere length as an effective biomarker of FRDA disease severity. However, telomere length may still be a useful biomarker of FRDA disease progression, as proposed by Castaldo and colleagues [
5]. By analyzing fibroblasts, leukocytes and cerebellar tissues, we have shown that there is variation of telomere length within different FRDA cell and tissue types. This may be due to several factors, including differences in cellular replication status and different cellular environments, as the replicating fibroblasts were grown
in vitro, while the primarily non-replicating leukocytes and cerebellar tissues were obtained
in vivo.
We further showed that FRDA fibroblasts do not maintain telomeres due to telomerase activity, but rather due to activation of an ALT-like mechanism. The causes of ALT activation are not fully understood. However, mutations in the ATRX/DAXX chromatin remodelling complex and histone H3.3 have been found to correlate with ALT [
17]. Also, it has been observed that mismatch repair (MMR) defects can facilitate ALT engagement in yeast [
18]. It has also been shown that FRDA cells are more sensitive to ionising radiation than the control cells [
1]. Furthermore, gene expression analysis of FRDA patient blood samples has identified reduced expression of DNA repair genes [
2,
3], suggesting that FRDA may be a DNA repair-deficient disorder. This notion is supported by our current findings of high frequencies of γ-H2AX and TIFs in FRDA fibroblasts compared to the controls, indicating a higher degree of DNA damage in FRDA cells. Therefore, an ALT-like mechanism may become activated in FRDA cells due to a combination of oxidative DNA damage and defective DNA repair mechanisms. However, we also showed that FRDA fibroblasts were unable to become immortalised during long-term growth in culture, indicating that the ALT-like activity was not sufficient to overcome cellular senescence. The reason why we did not observe a complete engagement of the ALT-like pathway in FRDA telomere maintenance may be due to defective DNA repair systems or alteration of the heterochromatic state of telomeres [
9]. Nevertheless, FRDA cells were found to senesce approximately 11 population doublings later than the controls. This extension of the transition time from proliferation to senescence could be partly due to the difference in the original telomere lengths of these cell lines, in addition to the selective activation of the ALT-like mechanism. We also identified a faster telomere attrition rate in FRDA cells compared with controls, suggesting telomere dysfunction, which again could be due to oxidative DNA damage and defective DNA repair mechanisms [
4] or due to an altered heterochromatic state of the telomeres, resulting in the repression of telomeric recombination [
9]. Accelerated loss of telomere lengths has also been reported in other neurodegenerative diseases that are associated with oxidative stress, such as Alzheimer’s disease and Parkinson’s disease, suggesting the existence of common molecular disease mechanisms [
19,
20]. However, it is possible that the accelerated telomere shortening that we identified in FRDA fibroblast cells could be an artefact of
in vitro culture and in fact
in vivo skin cells from FRDA patients have a normal rate of telomere shortening. Therefore, the exact mechanisms of telomere shortening under conditions of oxidative stress require further investigation, for example by repeated skin biopsy sampling throughout age from individual FRDA patients or repeated tissue sampling FRDA mouse models.
Dysfunctional telomeres in FRDA cells may occur due to defects in a variety of potential genes or proteins that are essential for DNA repair and telomere maintenance, including
DNA-PKcs,
Ku70/80,
TRF2,
ATM,
PARP,
BRCA1,
BRCA2 and DNA helicases [
21‐
29]. These may also include enzymes that require iron sulfur cluster (ISC) cofactors for activity. For example, recent findings indicate that RTEL1, the ISC-containing DNA helicase regulator of telomere length 1, is essential for telomere homeostasis by catalysing T-loop disassembly during S phase and therefore its deficiency is associated with removal of the T loop structures and rapid telomere shortening [
30,
31]. In addition, methyl methanesulfonate sensitive 19 (MMS19), a yeast member of the cytosolic ISC assembly (CIA) machinery, has been found to function as the most interactive partner of RTEL1 [
32]. Therefore, the reported sensitivity of MMS19 deficient cells to DNA damage and the presence of extended telomeres may be attributed to the function of MMS19 in telomere maintenance.
Other studies have also found a link between epigenetic status of subtelomeres and telomere length regulation, suggesting a role for subtelomeric methylation in telomere-length homeostasis [
33,
34]. Telomeres have a closed conformation, mediated by the interaction of DNA with epigenetic markers. As telomeres become shorter, the heterochromatic markers are decreased from telomeres and subtelomeres, which lead to a less dense conformation, allowing a greater accessibility for telomere elongating activities [
35]. An increase in the hypermethylation of the shortest telomeres has been reported in patients with Alzheimer’s disease [
36], whereas, hypomethylated subtelomeres have been reported to be associated with increased telomeric shortening in patients with Parkinson’s disease [
37]. It has also been shown that short telomeres with hypomethylated subtelomeres tend to be lost faster than those with enhanced subtelomeric methylation [
37‐
40]. These results suggested that oxidative stress in neurodegenerative disorders might affect the access of the DNA methyltransferase to subtelomeres, thus resulting in subtelomeric hypomethylation and consequential progress to cell death [
41]. To date, none of these telomere length-associated changes have been investigated in FRDA patients. Therefore, further analysis is required to clarify the correlation between telomere length and methylation status in FRDA cells.
Conclusions
Overall, the results presented in this study demonstrate a telomere dysfunction phenotype and accelerated telomere shortening in FRDA fibroblasts, together with comparatively reduced telomere lengths in both FRDA leukocytes and cerebellar tissues. In addition, we observed that ALT-like inter-telomeric recombination was initiated in FRDA fibroblasts, but this was incapable of preventing accelerated telomere shortening. Our studies support an FRDA molecular disease model whereby oxidative DNA damage, in combination with defective DNA repair responses and perhaps epigenetic changes, induce suboptimal ALT-like telomeric recombination. However, it remains unclear why there is not a prolonged effect of the ALT-like mechanism on FRDA telomere length and this requires further analysis. Cell type-specific factors are likely to contribute to the telomere length maintenance, hence further experiments using different cell types will further enhance our understanding of the correlation between telomere length in FRDA with various genetic and cellular risk factors. Furthermore, our observations may have an impact on future FRDA therapeutic strategies. Since telomere shortening plays an important role in human cell viability, telomere length may yet prove to be a useful biomarker of cumulative exposure to oxidative stress and defective DNA responses in FRDA disease progression and subsequent amelioration by therapy.
Methods
Cell culture
Mouse fibroblast cell lines were established from the kidney tissues of C57BL/6 J (B6) mice and previously reported
FXN YAC transgenic mouse models: Y47R (9 GAA repeats), YG8R (90 and 190 GAA repeats) and YG22R (190 GAA repeats) [
42,
43]. All human fibroblasts derived from FRDA patients and unaffected controls were obtained from the Coriell Cell Repository (Table
1). Cells were cultured in DMEM culture medium (Gibco) supplemented with 10-15 % fetal bovine serum (Gibco) and 2 % penicillin-streptomycin (Gibco) at 37 °C with 5 % CO
2. Mouse lymphoma LY-R (radio-resistant) and LY-S (radio-sensitive) cells were cultured in RPMI 1640 medium (Invitrogen) supplemented with 10 % FBS and 2 % Pen-Strep at 37 °C with 5 % CO2. U2OS (human osteosarcoma) and HeLa (human cervical carcinoma) cell lines were purchased from ECCC (European Collection of Cell Culture) and ATCC (American Tissue Culture Collection), respectively. The U2OS cell line was grown in McCoy’s culture medium (Sigma-Aldrich) supplemented with 10 % FBS, 2 % Pen-Strep and 2 mM glutamine (Gibco) at 37 °C with 10 % CO
2. The HeLa cell line was grown in DMEM culture medium supplemented with 10 % FBS and 2 % Pen-Strep at 37 °C with 10 % CO
2. For growth curve analysis, FRDA and control fibroblast cell lines were serially passaged by re-seeding at 100,000 cells/25 cm
2 flasks (Fisher Scientific) and harvesting at 80 % confluence from earliest passage until they entered replicative senescence. For each harvest, cells were counted with a haemocytometer (Invitrogen) and transferred every 6–7 days. Cell population doublings per passage (PDP) and cumulative population doublings (CPD) were calculated from the first passage onward by the following formula [
44]: PD = (Log N
1 /Log2)-(Log N
o / Log2); CPD
n = ΣPD
(1, n), where N
o is the number of cells at the beginning; N
1 is the number of cells at the end of each cell culture period and n is the number of passages. β-galactosidase activity was determined as described [
45].
DNA extraction and telomere length measurement
Genomic DNA was extracted from FRDA and control human and mouse fibroblasts, blood samples and cerebellum autopsy tissues by standard phenol/chloroform extraction and ethanol precipitation. Telomere length was determined by a previously described quantitative polymerase chain reaction (qPCR) method [
46]. In brief, the relative telomere length was calculated from the ratio of the telomere (T) repeat copy number to a single gene (36B4, which encodes the acid ribosomal phosphoprotein PO) (S) copy number (T/S ratio) for each sample using standard curves. For quality control, all qPCR telomere length measurements were performed in triplicate. To quantify telomere shortening per PD, the following formula was used: (N
1-N
o) / CPD, where N
o is the telomere length at the initial passage and N
1 is the telomere length at the later passage.
Cytogenetic analysis
Interphase quantitative fluorescent in situ hybridisation (IQ-FISH) was performed using the FITC-conjugated peptide nucleic acid (PNA) telomeric oligonucleotide (CCCTAA)
3 probe as previously described [
47]. Images of interphase cells were acquired on a digital fluorescence microscope (Zeiss Axioskop 2) equipped with a CCD camera (Photometrics) and Smart Capture software (Digital Scientific) using fixed exposure time of 0.5 second and magnification of 63×. Telomere fluorescence intensity per cell was analysed using IP Lab software (Digital Scientific) and the average signal was evaluated by subtracting the background signal from the total telomeric signal intensity.
Chromosome orientation fluorescence in situ hybridisation (CO-FISH) was performed as previously described [
48]. Briefly, cells were grown in the presence of BrdU/BrdC (3:1) (Sigma Aldrich) at a concentration of 1 × 10
−5 for 24 h. Slides containing chromosome preparation were stained with DNA-binding fluorescent dye Hoechst 33258 (0.5 μg/ml; Sigma Aldrich) for 15 min at room temperature and were exposed to 365 nm UV light (Stratelinker 1800 UV irradiator) for 30 min. The nicked BrdU-substituted DNA strands were then digested by 3U/ml of Exonuclease III (Promega) in the buffer supplied by the manufacturer at room temperature for 10 min.
In situ hybridisation was performed using the Cy3-conjugated PNA telomeric oligonucleotide (CCCTAA)
3 probe as previously reported [
49]. Images of metaphase spreads were acquired using a Zeiss fluorescence microscope equipped with a CCD camera (Photometrics) and ISIS Capture software (
in situ imaging system “ISIS”, Meta Systems, Altlussheim, Germany).
Telomere dysfunction induced foci (TIF) assays were performed as previously described [
50]. Briefly, cells were grown on poly-L-lysine-coated slides (Poly-Prep slides, Sigma-Aldrich) for 24 h prior to immunofluorescence staining. The slides were fixed in 4 % formaldehyde in PBS for 15 min and were permeabilised with 0.2 % Triton X-100 (Sigma-Aldrich) for 10 min at 4 °C. The cells were then blocked with 0.5 % BSA in PBS for 30 min. 100 μl of mouse monoclonal antiphospho-histone H2AX (Ser 139, Millipore) was added to the slides at the desired concentration (1:500 in 0.5 % BSA/PBS) and the slides were incubated for 1 h in a humid container. After three washes in TBST (Tris-Buffered Saline with 0.1 % Tween20) for 5 min, the slides were incubated with 100 μl of secondary FITC-conjugated anti-mouse IgG antibody (Sigma) at the desired concentration (1:1000 in 0.5 % BSA/PBS) for 1 h in a humid container. The slides were washed again as above and hybridised for 2 min at 70-75 °C with Cy3-conjugated PNA (CCCTAA)
3 probe. The slides were analysed using a Zeiss fluorescence Axioplan microscope equipped with a CCD camera and Smart Capture software. The frequency of γH2AX was analysed from the TIF results since the TIF protocol simultaneously detects γH2AX foci and telomeres.
For immuno-FISH, cells were grown on poly-L-lysine-coated slides (Poly-Prep slides, Sigma-Aldrich) for 24 h, then fixed in ice-cold methanol-acetone (1:1) for 10 min and washed three times in PBS. The cells were then blocked with 1 % NCS (Newborn Calf serum) in PBS for 30 min. 75 μl of promyelocytic leukemia (PML) primary antibody (Rabbit polyclonal antibody against PML, ab53773, Abcam) was added to the slides at the desired concentration (1:100 in 1 % NCS/PBS) and the slides were then incubated for 1 h in a humid container. The slides were then washed three times in PBS for 5 min. 75 μl of anti-rabbit secondary antibody labelled with FITC (F1262-1ML, Sigma) was added to the slides at the desired concentration (1:100 in 1 % NCS/PBS) and the slides were subsequently incubated for 1 h in a humid container. After rinsing in PBS, the FISH method was applied with a Cy3-conjugated PNA probe (CCCTAA)3 followed by standard formamide and SSC washes. Cells were counterstained with DAPI and were examined on a Zeiss Axioplan fluorescence microscope equipped with a CCD camera (Photometrics) and Smart Capture software (Digital Scientific) using fixed exposure time of 1 s and magnification of 1000×. The co-localisation of PML and telomere signals was analysed using ImageJ software (National Institutes of Health, Bethesda, MD).
Telomerase assay
Cells (105-106) were lysed in 200 μl of CHAPS buffer, containing RNase inhibitor, and were incubated at 4 °C for 30 min. The lysates were then centrifuged at 15700 X g for 20 min at 4 °C. The protein concentration was measured using a Pierce® BCA Protein Assay Kit (Thermo scientific) following the manufacturer’s instructions. In order to obtain the final concentration of 125 ng/μl, the protein concentration of the tested samples was measured from the standard curve and the samples were diluted in CHAPS lysis buffer accordingly. Telomerase activity was measured using TRAPEZE® Telomerase Detection Kit (Chemicon, Millipore) according to the manufacturer’s instructions.
Gene expression of hTERT using qRT-PCR
Total RNA was extracted from 10
6 cells using the Trizol® method (Invitrogen) and reverse transcribed using AMV reverse transcriptase (Invitrogen) with random hexanucleotide primers following the manufacturer’s instructions. hTERT mRNA expression levels were quantified by qRT-PCR using an ABI Prism 7900HT Sequence Detection System and TaqMan® Fast Universal Master Mix (Applied Biosystems) [
51]. An hTERT assay (Applied Biosystems), containing hTERT forward (5′-GAGCTGACGTGGAAGATGAGC-3′) and reverse (5′-GGTGAACCTCGTAAGTTTATGCAA-3′) primers and a TaqMan TAMRA™ probe (5′-CACGGTGATCTCTGCCTCTGCTCTCC-3′) giving a 260 bp fragment, and a GAPDH assay (Assay ID: Hs99999905_m1, 124 bp amplicon size, Applied Biosystems), containing GAPDH forward and reverse primers and a TaqMan MGB probe, were used in this experiment. The cycling protocol consisted of 20 s at 95 °C, followed by 50 cycles (95 °C for 1 s and 60 °C for 20 s). Reactions were carried out in triplicate for each sample.
Statistical analysis
Comparisons between population doublings were assessed by two-way analysis of variance (ANOVA) while relationships between telomere length and other variables were calculated by multiple regression analysis. All other data were analysed by the Student’s t test, with a significance value set at P < 0.05.
Acknowledgements
We would like to thank Christopher H. Eskiw (Saskatchewan, Canada) for his technical advice. Mouse lymphoma LY-R (radio-resistant) and LY-S (radio-sensitive) cells were kindly provided by Andrezej Wojcik, Institute of Nuclear Chemistry and Technology, Department of Radiobiology and Health Protection, Warszawa, Poland. Unaffected cerebellum DNA samples were kindly provided by John Hardy, Mark Gaskin, Daniah Trabzuni and Mina Ryten, Department of Molecular Neuroscience, UCL Institute of Neurology. This work was supported by funding from the European Union Seventh Framework Programme [FP7/2007-2013] under grant agreement number 242193/EFACTS (CS) and the Wellcome Trust [089757] (SA) to MAP. PG is supported by the National Institute for Health Research University College London Hospitals Biomedical Research Centre.
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Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
SAV, HY, CS and PG performed experiments; SAV, SA, HY, PS and MAP conceived and designed the study; SAV, SA and MAP wrote the manuscript; all authors read and approved the manuscript.