Abstract
Aprataxin (APTX) deficiency causes progressive cerebellar degeneration, ataxia and oculomotor apraxia in man. Cell free assays and crystal structure studies demonstrate a role for APTX in resolving 5′-adenylated nucleic acid breaks, however, APTX function in vertebrates remains unclear due to the lack of an appropriate model system. Here, we generated a murine model in which a pathogenic mutant of superoxide dismutase 1 (SOD1G93A) is expressed in an Aptx−/− mouse strain. We report a delayed population doubling and accelerated senescence in Aptx−/− primary mouse fibroblasts, which is not due to detectable telomere instability or cell cycle deregulation but is associated with a reduction in transcription recovery following oxidative stress. Expression of SOD1G93A uncovers a survival defect ex vivo in cultured cells and in vivo in tissues lacking Aptx. The surviving neurons feature numerous and deep nuclear envelope invaginations, a hallmark of cellular stress. Furthermore, they possess an elevated number of high-density nuclear regions and a concomitant increase in histone H3 K9 trimethylation, hallmarks of silenced chromatin. Finally, the accelerated cellular senescence was also observed at the organismal level as shown by down-regulation of insulin-like growth factor 1 (IGF-1), a hallmark of premature ageing. Together, this study demonstrates a protective role of Aptx in vivo and suggests that its loss results in progressive accumulation of DNA breaks in the nervous system, triggering hallmarks of premature ageing, systemically.
INTRODUCTION
Aprataxin (APTX) belongs to the histidine triad domain superfamily of nucleotide hydrolases/transferases with preference at removing AMP from DNA and from DNA/RNA junctions (1,2). AMP-linked DNA structures are normal intermediates of DNA ligation that are predicted to accumulate during premature ligation cycles. Premature ligation can occur if the ligase attempts to ligate DNA breaks before 3′-end processing has occurred. Co-deletion of APTX together with 3′-end processing enzymes results in synergistic repair defects (3,4). Premature ligation can also occur during the process of ribonucleotide removal from genomic DNA (2). APTX appears to possess both nuclear and nucleolar functions since it associates with components of the nuclear single- and double-strand break repair machinery such as XRCC1 and XRCC4, and with nucleolar proteins such as nucleolin, and nucleophosmin (5,6). APTX has also been reported to localize to mitochondria and maintain mitochondrial DNA integrity (7). Defects in aprataxin cause the autosomal recessive neurodegenerative disorder Ataxia Oculomotor Apraxia 1 (AOA1) (8,9), which accounts for ∼10% of autosomal recessive cerebellar ataxias (10).
Despite substantial evidence pointing at distinct cellular roles for APTX, the DNA repair function and the consequence of APTX loss in cells and organs remain unclear (5,11–13). Studies on cultured vertebrate cells reveal minimal impact of APTX loss on cellular DNA repair capacity. The extent of this impact varies depending on the experimental read-out and the type of cells employed (5,6,13–15). Aptx−/− mice have been generated but they lack any obvious phenotype (1). This likely reflects the low frequency of APTX-dependent lesions and suggests that neuronal cell death occurs due to a stochastic accumulation of these lesions over time. Since the brain is protected from exogenous sources of damage by the cranium and the blood brain barrier, DNA lesions in the brain result predominantly from endogenous sources. The oxidative byproducts of cellular metabolic processes such as free radicals represent the main source of endogenous damage to DNA (16,17), which likely requires APTX's surveillance mechanisms to maintain DNA integrity. However, a suitable model system to study this putative role for APTX at the organismal level is not available.
To examine the role of APTX in vivo, we modulated the cellular antioxidant homeostasis by generating a mouse model where a mutant form of superoxide dismutase 1 (SOD1G93A) is expressed in an Aptx−/− background. SOD1G93A mutation is associated with elevated levels of oxidative DNA breaks (18,19) and disrupted mitochondrial processes, causing motor neuron death observed in amyotrophic lateral sclerosis (ALS) (20). Here we report a defect in oxidative-induced DNA strand break repair and survival in Aptx−/− SOD1G93A double mutant cells above that observed for Aptx−/− or SOD1G93A single mutants. These observations translate well in vivo as shown by the reduced survival of spinal motor neurons in Aptx−/− SOD1G93A than SOD1G93A mice. Furthermore, the surviving neurons feature deep nuclear envelope invaginations, a hallmark of cellular stress. They also possess an elevated number of high-density nuclear regions with a concomitant increase in histone H3 K9 trimethylation, suggestive markers for silenced chromatin. The accelerated cellular senescence was also observed at the organismal level as shown by down-regulation of insulin-like growth factor 1 (IGF-1), a hallmark of premature ageing.
RESULTS
To examine the role of Aptx in response to oxidative stress, we first compared Aptx−/− and control mouse embryonic fibroblasts (MEFs) for their ability to survive H2O2-induced DNA damage (Fig. 1A). H2O2-induced a dose-dependent toxicity in control and Aptx−/− cells with no detectable difference in the rate or magnitude of cell death. Similarly, survival assays following exposure to ionizing radiation showed no significant survival defect in Aptx−/− MEFs (Fig. 1B). However, monitoring cellular growth over a period of 50 days showed a reduction in population doubling for Aptx−/− MEFs compared with their wild-type counterparts (Fig. 1C). We reasoned that the difference in growth rate might reflect the reduced ability of Aptx−/− MEFs to repair passage-associated accumulation of endogenous DNA damage. To test this, we compared control and Aptx−/− cells for levels of senescence-associated β-gal (SA-βGal), a widely used hallmark of senescence (21,22). Whilse wild-type cells exhibited <10% senescence over a period of 10 passages, Aptx−/− MEFs showed ∼25% senescence at passage 4 with a striking increase to 65% at passage 10 (Fig. 1D). We conclude from these experiments that Aptx−/− MEFs exhibit a passage-dependent increase of senescence compared with their wild-type counterparts.
Cellular senescence is the loss of replicative capacity in primary cells that can be triggered by accumulation of oxidative DNA breaks in telemetric regions of DNA, resulting in telomere uncapping and shortening (23). To test whether loss of Aptx affects telomere stability, we compared telomere length in control and Aptx−/− MEFs using the TeloTAGGG Telomere Length Assay. There was no detectable difference in telomere length between control and Aptx−/− cells (Fig. 2A) and repeated exposure to H2O2 for three consecutive days did not uncover a difference in telomere length either. These results suggest that the accelerated senescence in Aptx−/− cells was not due to a measurable telomere instability. Accelerated senescence was also unlikely to be caused by differences in cell cycle progression since fluorescence-activated cell sorting (FACS) analyses showed similar S/G2 distribution in wild-type and Aptx−/− MEFs (Fig. 2B). Aptx−/− MEFs, however, had a lower proportion of cells in G1 and a higher proportion of sub-G1 (dead) cells than controls, which is consistent with their accelerated senescence phenotype.
Next, we considered the possibility that the progressive accumulation of oxidative DNA breaks in Aptx−/− MEFs may interfere with progression of RNA polymerases (24,25), thereby accounting for the accelerated senescence and implicating Aptx in facilitating transcription recovery following oxidative damage. While incubation of cells with H2O2 resulted in a comparable reduction of total RNA levels in wild-type and Aptx−/− MEFs, subsequent incubation in H2O2-free media for 1 or 2 h revealed a significant (P < 0.01, t-test) delay in RNA synthesis in Aptx−/− MEFs (Fig. 2C). These experiments suggest that Aptx−/− MEFs are less able than controls to resume transcription following oxidative DNA damage.
Together, these observations show that Aptx−/− MEFs exhibit no detectable defect in global repair of oxidative DNA breakage yet they possess an accelerated senescence and reduced transcription recovery following acute doses of oxidative stress. Notably, Aptx−/− mice also exhibit no detectable phenotype, suggesting a lower cellular stress in vivo compared with culture conditions or perhaps a high level of physiological redundancy in response to Aptx deficiency. We reasoned that increasing the level of endogenous oxidative load might increase the cellular demand for Aptx and would enable us to uncover physiological functions that may not be measurable using canonical Aptx−/− models. We thus generated a mouse model in which Aptx loss is coupled with expression of the pathogenic SOD1G93A protein. SOD1G93A is a causative mutation for a familial form of amyotrophic lateral sclerosis (ALS), and is known to induce mitochondrial dysfunction and elevated oxidative stress (18,26–28). Aptx−/− SOD1G93A double mutant mice developed normally and their numbers followed the expected Mendelian ratios, suggesting little requirement for Aptx during embryonic development even in the presence of SOD1G93A. We next generated wild-type, Aptx−/−, SOD1G93A and Aptx−/− SOD1G93A double mutant MEFs and confirmed SOD1G93A expression by immunoblotting (Fig. 3A, inset). Since the survival of wild-type MEFs were indistinguishable from Aptx−/− MEFs (Fig. 1A and B), we limited subsequent analyses to the latter. We first examined the effect of ionizing radiation (IR), which produces both direct DNA breaks and oxidative DNA damage via the hydrolysis of H2O. Exposure of cells to IR induced dose-dependent cell death in Aptx−/−, SOD1G93A and Aptx−/− SOD1G93A cells with no significant difference in the rate or magnitude of cell death, at most doses examined (Fig. 3A). While IR induced comparable levels of DNA strand breakage in the three cell types (Fig. 3B), Aptx−/− SOD1G93A cells retained ∼70% of their breaks during a subsequent 15 min repair period, compared with ∼35% and 50% in Aptx−/− or SOD1G93A single mutants, respectively (Fig. 3C).
Since only a fraction of IR-induced damage is mediated by hydrolysis of H2O and generation of oxidative DNA damage, we next examined the effect of H2O2 which predominantly induces oxidative DNA breaks. Consistent with a role for Aptx during oxidative DNA break repair, Aptx−/− SOD1G93A double mutant MEFs were more sensitive to H2O2 than Aptx−/− or SOD1G93A single mutants (Fig. 3D). Aptx−/− SOD1G93A double mutants showed a significant survival defect at 100 and 200 μm H2O2 (P = 0.015 and P = 0.02, respectively) compared with Aptx-proficient SOD1G93A cells. In addition, despite starting with a similar number of breaks, Aptx−/− SOD1G93A double mutant cells retained more oxidative DNA breaks during 30 min repair periods than single mutants (Fig. 3E and F). These observations are unlikely to be due to differences in senescence rates between Aptx−/− SOD1G93A double mutants and SOD1G93A single mutants since they both exhibited comparable senescence (Supplementary Material, Fig. S1). Together, these data show that the expression of SOD1G93A sensitizes Aptx−/− cells to oxidative DNA damage.
Next we examined the consequences of SOD1G93A overexpression in Aptx−/− cells/tissues in vivo. Expression of SOD1G93A in mice causes neurological dysfunction, which is primarily manifested by hind limb paralysis and motor neuron defect (20,29,30). To test whether Aptx deficiency exacerbates the motor neuron loss in SOD1G93A mice, we compared Nissl-stained motor neurons in spinal cord sections derived from wild-type, Aptx−/−, SOD1G93A and Aptx−/− SOD1G93A mice (Fig. 4). Wild-type and Aptx−/− motor neurons appeared healthy and intact whereas SOD1G93A and Aptx−/− SOD1G93A neurons were smaller and exhibited aberrant morphology (Fig. 4A). We observed a number of vacuoles in SOD1G93A and Aptx−/−/SOD1G93A, which were absent in wild-type and Aptx−/− tissue, suggesting positions of degenerated or degenerating neurons (arrow heads, Fig. 4A). This was not an artefact of staining since it was consistent in three independent experiments from three different litters. Subsequent quantification of the number of motor neurons revealed a remarkable reduction in motor neuron survival in SOD1G93A sections compared with Aptx−/− or wild-type controls (230 ± 30 SEM versus 450 ± 24 SEM; Fig. 4B). These observations are consistent with previous reports showing apoptotic cell death in SOD1G93A motor neurons (20,31). Importantly, deletion of Aptx in SOD1G93A mice resulted in significant additional reduction in motor neuron survival (230 ± 30 SEM versus 164 ± 25 SEM; P = 0.026; Fig. 4B).
To gain further insight into the consequences of Aptx deletion in vivo, we next examined the surviving fraction of motor neurons by transmission electron microscopy (TEM). Visual examination of TEM images revealed healthy nuclear envelopes in wild-type and Aptx−/− cells while abnormal envelops featuring numerous and deep invaginations were observed in SOD1G93A and Aptx−/− SOD1G93A neurons (Fig. 5A). These observations are intriguing since nuclear invaginations are characteristics of cellular stress that precede cell death, which is consistent with the lower number of neurons observed by Nissl staining (Fig. 4). Furthermore, we observed a significant increase in the number of dense chromatin in SOD1G93A and Aptx−/− SOD1G93A nuclei. While <3% of nuclear area was occupied by dense chromatin in wild-type and Aptx−/− neurons, >8% was observed in SOD1G93A and Aptx−/− SOD1G93A nuclei (Fig. 5B). Notably, Aptx−/− SOD1G93A nuclei had ∼2% increase of dense chromatin compared with SOD1G93A nuclei.
The high-density regions in the nucleus are likely nuclear speckles, representing regions of chromatin condensation. Speckles or interchromatin granule clusters are dynamic structures that could be involved in the coordination of transcription and pre-mRNA splicing. It is also likely that the majority of the high-density regions observed here represent areas occupied by condensed or silenced chromatin, which presumably arise due to progressive accumulation of unrepaired DNA breaks in Aptx−/− SOD1G93A neurons. To ascertain the nature of the observed dense chromatin, we carried out immunogold labelling TEM with anti-histone H3 trimethyl lysine 9 (H3K9me3) antibody, a hallmark for heterochromatin. Consistent with these high-density regions being sites of silenced chromatin, ∼14% of Aptx−/− SOD1G93A nuclear area was enriched with H3K9me3 compared with ∼8% and ∼3% for SOD1G93A and controls, respectively (Fig. 5C and D). We conclude from these experiments that expression of a toxic form of SOD1 increases the proportion of heterochromatin in Aptx−/− neurons.
Finally, the accelerated senescence (Fig. 1), the reduced ability to repair oxidative DNA breaks (Fig. 3) and the elevation of silenced chromatin (Fig. 5) are consistent with signs of premature ageing at the cellular level. To examine whether this is also true at the organismal level we examined the expression of insulin-like growth factor 1 (IGF-1), a molecular hallmark of premature ageing. Circulating growth hormone is converted into IGF-1 in the liver and persistence of transcription-blocking DNA breaks has been shown to down-regulate IGF-1 in nucleotide excision repair defective progeria rodent models (32). Reverse transcriptase-polymerase chain reaction (RT-PCR) analysis of β-actin (control) and IGF-1 mRNA transcripts extracted from liver of 3-month-old wild-type, Aptx−/−, SOD1G93A and Aptx−/− SOD1G93A mice revealed a reduction of IGF-1 expression in the latter (Fig. 6A). Subsequent quantitative PCR analyses of cDNA generated from adult mouse livers revealed ∼3-fold reduction (P < 0.001) of IGF-1 expression in Aptx−/− SOD1G93A compared with other genotypes tested (Fig. 6B). Together, these data demonstrate a protective role for Aptx at the cellular and organismal level, and suggest that its absence results in progressive accumulation of oxidative DNA breaks in the nervous system, triggering hallmarks of premature ageing, systemically.
DISCUSSION
APTX deficiency causes progressive cerebellar degeneration, ataxia and oculomotor apraxia in man (8,9). Multiple in vitro studies have shown that APTX cleaves AMP from 5′-DNA termini during premature ligation cycles (1,15,33–35). Incomplete ligation cycles can take place due to the unavailability of 3′-hydroxyl groups, which are normally lost in most, if not all, DNA break events (2–4). Studying the physiological significance of APTX has been hindered by the lack of the appropriate model systems. For example, Aptx deletion in mice results in no overt phenotype, which likely reflects the low frequency of 5′-AMP DNA breaks and suggests that neuronal cell death occurs due to stochastic accumulation of DNA breaks over time (1,9,36–39). To overcome these limitations, we generated a murine model system where a pathogenic mutant of superoxide dismutase 1 (SOD1G93A) is expressed in an Aptx−/− mouse strain. We analyzed the single and double mutant cells and tissues for their growth rate, survival, chromosomal break repair proficiency, nuclear architecture and hallmarks of premature aging.
We did not detect a survival defect following oxidative DNA damage in Aptx−/− primary murine fibroblasts, which is consistent with results obtained from murine astrocytes (3) and human AOA1 cells (5). However, monitoring cellular growth over a period of ∼2 months uncovered a reduction in population doubling in Aptx−/− MEFs compared with controls. We suggest that this difference in growth rate is due to a progressive accumulation of passage-associated endogenous DNA damage at low oxygen culture conditions (3% O2). In support of this prediction Aptx−/− MEFs, but not control cells, possess a progressive increase of senescence rate, starting from ∼25% senescence at passage 4 to ∼65% at passage 10. The delayed growth and elevated senescence rates were not due to detectable telomere instability or differences in cell cycle progression, as shown by telomere assays and FACS profiling. Transcription recovery assays on the other hand suggest a limited ability of Aptx−/− cells to recover transcription following fractionated doses of H2O2. Un-repaired 5′-AMP DNA breaks could interfere with cellular transcription and may affect global gene expression, accounting for the delayed growth and elevated senescence rates observed in this study. This is consistent with studies from the Lavin laboratory that showed reduced expression of several DNA repair enzymes such as PARP-1, apurinic endonuclease 1 (APE1) and OGG1 in AOA1 cells (13). This is also consistent with reports showing association of APTX with nucleolar proteins such as nucleolin and nucleophosmin (5,6). The transcription defect may also explain the unique extraneurological features of AOA1 such as decreased serum albumin (9). Notably, albumin is an abundant protein with antioxidant properties and as such any reduction in its steady state level would cause further sensitization to oxidative damage (40).
Modulating cellular oxidative homeostasis by overexpression of a pathogenic mutant of SOD1 uncovered a survival and chromosomal break repair defect in Aptx−/− cells. It is notable that overexpression of SOD1G93A in Aptx−/− cells did not result in a detectable increase in H2O2-induced DNA breaks but led to significant delay in repair rates during a short 30 min repair periods. This likely reflects a SOD1G93A-mediated increase in the frequency of premature ligation events during repair. This may take place during the unsuccessful attempts of DNA ligases to seal DNA breaks during incubations in H2O2-free media despite being produced at equal frequency. Overexpression of SOD1G93A may elevate the frequency of premature ligations during single-strand break repair (36) or during the process of ribonucleotide clearance from genomic DNA (2). The latter is intriguing due to the greater cellular concentration of ribonucleotides, which favours their ‘erroneous’ incorporation in genomic DNA at high rates, with estimates exceeding 100 000 ribonucleotides per cell division in vertebrate cells (41). RNase H2 initiates the incision of ribonucleotides from DNA, leaving behind a 5′-ribose residue. The failed attempt of DNA ligases to seal this intermediate results in adenylated 5′-ribose termini, channelling repair to an APTX mediated process to remove the AMP and reset the ligase (2). It is likely that overexpression of SOD1G93A increases the demand for the RNase H2-dependent removal of ribonucleotides from DNA, thereby increasing the abundance of premature ligation events. The increased reliance on RNase H2 incisions may be caused by SOD1G93A-mediated trapping of redundant enzymes involved in ribonucleotide incision and removal such as topoisomerase 1 (Top1) (42). Consistent with this possibility, several studies have shown that oxidative breaks, nicks and gaps can trap Top1 on DNA (24). Such breaks would not be detectable by the comet assay hence no difference was observed immediately following H2O2 treatment (17). Although our data do not provide a conclusive explanation for the observed cellular defect it provides a pool of testable hypotheses and resources for further investigation.
The chromosomal break repair defect in SOD1G93A Aptx−/− cells reflects a role for APTX in nuclear DNA repair since the comet assay does not detect mitochondrial DNA breaks (15,43). However, the survival defect could reflect additional roles for APTX in the mitochondria (7,44). In support of this possibility it is worth noting that the survival defect observed ex vivo in cultured cells was also observed in tissues. Spinal cord sections from Aptx−/− SOD1G93A mice showed a reduction in motor neuron survival compared with sections from SOD1G93A mice. Analyses of the surviving fraction of motor neurons by transmission electron microscopy (TEM) revealed unhealthy nuclear envelops with deep invaginations and an elevated number of high-density nuclear regions. These observations are hallmarks of cellular stress that precede cell death and are consistent with the survival defect and the accelerated senescence rate observed ex vivo. There are several explanations for the nature of the high-density nuclear regions observed in this study: (i) they could represent dynamic structures demarking sites of nuclear speckles, which are involved in the coordination of transcription, pre-mRNA splicing and mRNA export (45,46), (ii) they could represent sites of sequestration of factors that regulate expression of genes involved in the stress response known as nuclear stress bodies (47), or (iii) they could represent areas of dense or silenced chromatin. Immunogold labelling TEM analyses using anti-histone H3K9me3 antibody, a hallmark for heterochromatin, favours the third possibility and suggests that the high-density regions are silenced chromatin, likely due to the progressive accumulation of unrepaired DNA breaks in Aptx−/− SOD1G93A tissues.
Together these findings are consistent with a model whereby progressive accumulation of DNA damage in Aptx−/− SOD1G93A tissues exacerbates cell death in vivo and senescence ex vivo. The latter has also been observed in vivo as shown by the down-regulation of IGF-1, a hallmark of premature ageing (32). IGF-1 is primarily produced in the liver as an endocrine hormone and in target tissues as a paracrine/autocrine factor. Its production is stimulated by growth hormone and can be inhibited by attenuation of the growth hormone response pathway. The data presented here are consistent with the proposal that progressive accumulation of transcription-blocking DNA lesions down-regulates the somatotropic axis and reduces the expression of IGF-1. This is supported by several reports showing that persistent transcription-blocking lesions trigger somatic growth attenuation in order to switch physiological status from somatic ‘growth’ to ‘maintenance’ in an attempt to tolerate persistent transcription-blocking DNA lesions (32,48). In agreement with this, the double mutant Aptx−/− SOD1G93A mice showed a subtle reduction in body weight compared with single SOD1G93A mice (Supplementary Material, Fig. S2). The limited life span of Aptx−/− SOD1G93A mice prevented us from assessing other hallmarks of premature ageing such as kyphosis and grey hair. Further studies will employ another variant of SOD1G93A mice that carries a deletion of the transgene array to reduce the copy number and thus undergoes a slower course of disease (49). We anticipate this approach would give us sufficient window to observe hallmarks of ageing at the organismal level. The observed transcription recovery defect, down-regulation of IGF-1 and early senescence are consistent with somatic growth attenuation in stressed cells lacking APTX and indeed, this seems to be a logical coping strategy which may not be too surprising. Under situations of cellular stress, somatic attenuation can lead to a range of compensatory effects including suppression of the production of reactive oxygen species and promotion of DNA repair. In the case of loss of APTX, this somatotropic attenuation may be sufficient to avoid impact on cycling cells and protect neurons in lower eukaryotes sufficiently long enough for them to never develop symptoms. However, in humans, who have especially high cerebellar activity coupled with long lifetimes, it is likely insufficient to rescue neural viability and the most sensitive cells eventually cease to function sufficiently and/or die, resulting in AOA1 pathology.
It is interesting to note that there was a significant transcription recovery defect in Aptx−/− cultured cells relative to wild-type but no sizeable down-regulation in IGF-1 expression in the livers of genetically similar aged animals, whereas Aptx−/− SOD1G93A exhibited a significant down-regulation in IGF-1 expression in the liver. This suggests that the down-regulation of IGF-1 may result from an active process in response to exceeding a pre-set threshold of DNA damage and perhaps specific to certain regions of the genome. The effect may also be tissue specific, for example, a threshold level of DNA damage in the pituitary (which secretes the growth hormone required for the production of IGF-1 in the liver) or the hypothalamus (which regulates growth hormone release) may trigger a signal to reduce IGF-1 production in the liver. Alternatively, persisting damage in the liver may prevent IGF-1 formation. Since the nervous system is especially sensitive to DNA damage and IGF-1 is a circulating hormone, it is tempting to speculate that the effect is a systemic one driven by DNA damage in the nervous system. While the present data do not pin down the exact mechanism of IGF-1 down-regulation, they provide a model system and a testable hypothesis. Further research is required to trace the origins of IGF-1 down-regulation by measuring growth hormone levels and downstream signalling components and by comparing expression of relevant components of the signalling cascade in various tissues.
MATERIALS AND METHODS
Generation of Aptx−/− and Aptx−/− SOD1G93A mice and mouse embryonic fibroblasts
Aptx−/− mice were generated as described previously (1,3). Aptx+/− mice were mated with SOD1G93A mice (20) to generate Aptx+/− SOD1G93A, which were backcrossed with Aptx+/− to generate Aptx+/+, SOD1G93A, Aptx−/− and Aptx−/− SOD1G93A mice. For the generation of mouse embryonic fibroblasts (MEFs), embryos were harvested at Embryonic day 13, heads and red organs were separated and the body homogenized in trypsin, and then cultured in complete medium [Dulbecco's modified Eagle's medium (DMEM) 15% FCS at 37°C, 3% O2, 5% CO2, 100 units/ml penicillin, 100 mg/ml streptomycin, 2 mm l-glutamate). Genotyping of adult mice was conducted using tail biopsies and genotyping of embryos was done using the embryo heads and was further confirmed by repeating the PCR on cultured MEF lysates. Cells/tissues were digested in lysis buffer (20 mm Tris–HCl pH 7.5, 10 mm EDTA, 1 mm EGTA, 100 mm NaCl, 1% Triton X-100 proteinase K (Invitrogen) at 10 mg/ml final concentration), followed by incubation at 55°C overnight. DNA was diluted 1:50 and used as a template in PCR reactions as described previously (1). The primers used were APTX-1: AGCAAGTGGCCTCACATACACATGC, APTX-2: CTCCTTGCCTGCTTACACTCCAGC and APTX-3: TTCTCTCCATGACTGGTCATGGC from Eurofins. Genotyping for SOD1G93A was performed using primers CATCAGCCCTAATCCATCTGA and CGCGACTAACAATCAAAGTGA (Eurofins). All animals were housed and maintained in accordance with the institutional animal care and ethical committee at the University of Sussex.
Immunoblotting
To examine the expression of Aptx, endogenous murine SOD1 and ectopic human SOD1G93A, ∼5 × 105 cells were harvested by centrifugation at 1500 rpm and washed three times in phosphate buffered saline (PBS). Cell pellets were lysed by incubation with 0.2 ml cell lysis buffer [20 mm Tris–HCl pH 7.5, 10 mm EDTA, 1 mm EGTA, 100 mm NaCl, 1% Triton X-100 and 1/100 dilution of protease inhibitor cocktail (Sigma)] on ice and cell free extracts were prepared by centrifugation at 13 000 rpm for 20 min at 4°C. The supernatant was retained and protein concentration quantified by the Lowry method using the DC Protein Assay (BioRad) with BSA used as a standard. Cell free extracts were fractionated using 12.5% sodium dodecyl sulphate-polyacrylamide gel electrophoresis. Proteins were transferred to a Hybond C extra nitrocellulose membrane at 25 V for 2 h. Following transfer, membranes were blocked by 5% milk/PBS for 1 h at room temperature, and incubated overnight at 4°C with the following primary antibodies: rabbit anti-aprataxin (1:1000, 5% milk, MW ∼40 kDa), rabbit anti-SOD1 (Santa Cruz Biotechnology, MW ∼18 kDa) in 5% milk. Membranes were washed in Tris-Buffered Saline/Tween 20 (50 mm Tris, 150 mm NaCl, 0.05% Tween, pH 7.6) and then incubated at room temperature for 1 h in goat anti-rabbit HRP-conjugated secondary antibody (Dako). Membranes were washed again and incubated in enhanced chemiluminescence (ECL) western blotting detection reagent (GE Healthcare) and developed by autoradiography using a Xograph Compact 4 automatic X-ray film processor.
Cell growth and survival assays
Primary MEFs were employed at passage 4–6 for survival assays. Of note, 100–600 cells per ml were grown in 10 ml plates (triplicates) and treated with the appropriate DNA damaging agent: X-ray 250 kV at 12 mA, dose rate 0.5 Gy/min using the AGO 320/250 X-ray cabinet or H2O2 in PBS at the indicated doses for 10 min at room temperature. Cells treated with X-ray were immediately incubated at 37°C for 5–7 days, and cells treated with H2O2 were washed three times in PBS and then incubated at 37°C. In each experiment, cells were allowed to grow for the same period, between 5 and 7 days, until colonies had formed. Media were removed and cells fixed with 80% ethanol for 2 min, then ethanol was removed. One percent methylene blue stain was added to cover the bottom of the plate, and left for 30–40 min. Stain was removed and plates left upside down to dry before colonies were counted. The surviving fraction of cells of each genotype at each dose was calculated according to the number of colonies formed and plating efficiency, using the equations: plating efficiency = colonies observed/number of cells plated, Surviving fraction = colonies observed/cells seeded × plating efficiency. The average surviving fraction from at least three biological replicates were calculated ±SEM. To determine population doubling time, primary MEFs (P1) were plated at a density of 6 × 104 cells/ml, grown to ∼80% confluency, counted and replated. This process was repeated over 40 days of continuous culture and a representative data are shown from one experiment.
Senescence-associated β-gal (SA-βGal) assays
The senescence of primary MEFs was assayed at alternate passages up to passage 10, using the Senescence β-Galactosidase Staining Kit (Cell Signalling), which exploits pH-dependent β-Galactosidase activity as a readout for senescence. Primary MEFs were seeded at ∼6 × 104 cells/ml, allowed to grow for ∼72 h, fixed with 80% ethanol for 10 min at each passage, then stained with X-Gal (20 mg/ml) and incubated at 37°C for 24–72 h. β-Gal-positive cells were quantified using 200× magnification using an optical microscope and expressed as percent of total cells.
RNA synthesis recovery assays
MEFs (passage 4–6) were plated onto 3.5 cm dishes at ∼2 × 104 cells in 15% FCS-medium containing 0.02 µCi/ml thymidine [2-14C] and incubated at 37°C for 48 h (∼2 cycles) to label DNA. Medium was removed, cells washed with PBS, and incubated with either PBS or 50 µM H2O2 for 10 min at room temperature. Cells were washed three times with PBS, and incubated in media containing 5 µCi/ml 3H-uridine for 15 min to label RNA. Cells were washed three times with PBS and 0.25 ml 2% SDS was applied and cells scraped off the dish with a silicone rubber to collect DNA and RNA. Strips of Grad 17 Whatman chromatography paper was marked into 16 × 1-in. labelled sections. Hundred microliter samples were pipetted onto paper strips, in duplicate. Strips were incubated with 5% TCA for 5 min followed by 2 × 5 min incubation with IMS. Finally, samples were left to dry thoroughly and radioactivity was quantified using the Beckman Coulter LS6500 Multi-Purpose Scintillation Counter. RNA synthesis (3H count) was normalized to DNA content (14C count) and data plotted as % RNA synthesis relative to control un-treated samples.
Alkaline single-cell gel electrophoresis
2 × 105 MEFs at passage 5 were plated onto 3.5 cm culture dishes in complete media and incubated for 10 h at 37°C prior to mock-treatment or treatment with 90 μm H2O2 on ice for 10 min. For exposure with γ-rays, 4 × 105 cells/ml were irradiated in suspension in complete medium using a 137Cs gamma source (dose rate, 7.5 Gy/min). After treatment with H2O2 or γ-rays cells were washed in ice-cold PBS and incubated for the indicated repair periods. Cells were harvested in ice-cold PBS and analyzed by alkaline comet assays as described previously (43). DNA was neutralized, stained with SYBR green (1:10 000 dilution) and visualized by fluorescence microscopy (Nikon Eclipse E400) at 20× magnification. Comet tail moment for 100 cells per sample was determined using Comet Assay IV software (Perceptive Instruments).
Telomere stability assays
Telomere assays were performed using the TeloTAGGG Telomere Length Assay kit from Roche. Briefly genomic DNA was extracted from MEFs, digested with the frequently cutting restriction enzymes Hinf1 and Rsa1. The sequence specificity of theses enzymes ensures that only non-telomeric DNA is digested to low molecular weight fragments. DNA fragments were separated by gel electrophoresis, transferred onto a nylon membrane and subjected to Southern blotting using digoxigenin (DIG)-labelled probe-specific for telomeric repeats. Membranes were incubated with a DIG-specific antibody covalently coupled to alkaline phosphatase and signals visualized by chemiluminescence.
FACS analysis
1 × 105–1 × 106 MEFs at passage 4–6 were suspended in 200 μl cold PBS and 700 μl ice-cold ethanol was added dropwise while vortexing to avoid clumping. Cell suspension was left at −20°C for 2 h. Cells were washed twice with PBS and then incubated with 50 μg/ml propidium iodide containing 1× RnaseA (Sigma). Cells were gated according to their cell cycle distribution and analyzed using FACSCanto (BD Biosciences).
IGF-1 expression
RNA was extracted from adult mouse liver (aged 3 month) using the RNeasy Plus Mini Kit (Qiagen), checked for DNA contamination using gel electrophoresis, and then cDNA was generated using the Promega reverse transcription kit. Briefly, 2 μg RNA and 0.5 μg oligo dT were incubated at 70°C for 5 min and then added to a master mix containing 10 mm dNTPs, recombinant Rnasin® Ribonuclease Inhibitor (25 units), and M-MLV reverse transcriptase (200 units), and incubated at 42°C for 1 h. One microliter RNase A (Promega) was added and the mixture was incubated at 37°C for 30 min. cDNA was purified with the QIAquick Spin PCR purification kit and 2.5 μl of the product was employed in a qPCR reactions with Quantitect SYBR® Green PCR Master Mix (Qiagen) containing 100 nm each of the appropriate forward and reverse primers (β-actin forward: GACGTTGACATCCGTAAAGA, β-actin reverse: AATCTCCTTCTGCATCCTGT, IGF-1 forward: TGCTTGCTCACCTTCACCA, IGF-1 reverse: CAACACTCATCCACAATGCC) from Eurofins. Reaction products were analyzed using Stratagene MX4000 qPCR and average fold changes in expression was quantified from three independent biological replicates.
Motor neuron count
The spinal cord was isolated from ∼3-month-old mice and lumbar regions were preserved in 3% neutral buffered formalin and embedded in paraffin. Serial 10-μm transverse sections were cut and stained with gallocyanin, a Nissl stain. The number of Nissl-stained motor neurons in the sciatic motor pool in a total of 40 sections per mouse, between the L3 and L6 levels of the spinal cord were counted. Only large, polygonal neurons with a distinguishable nucleus and nucleolus and a clearly identifiable Nissl structure were included in the counts.
Transmission electron microscopy
Lumbar spinal cords were harvested from 3-month-old mice and fixed in 4% neutral buffered formalin for 72 h at 4°C. Subsequently, the samples were cut into two, with one-half processed for ultrastructural analysis and the other half for immunogold labelling transmission electron microscopy (TEM) as follows. For ultrastructural analysis, the samples were additionally fixed in 2.5% glutaraldehyde in 0.1 M NaPO4 buffer, pH 7.4, for 2 h at room temperature, then left overnight at 4°C. After buffer rinsing, samples were post-fixed in 1% osmium tetroxide in phosphate buffer, rinsed in distilled water, dehydrated in an ethanol series, passed through propylene oxide, and embedded in TAAB Low Viscosity resin (TAAB Laboratories Ltd., Aldermaston, UK). For immunogold labelling, the samples were prepared by a minimal, cold fixation and embedding in Unicryl resin (British BioCell International, Cardiff, UK) procedure, as we have previously described in detail (50,51). Thin sections (100 nm) of the fixed and embedded samples were cut on a Leica Ultracut ultramicrotome (Leica Microsystems, Milton Keynes, UK) and collected upon nickel TEM support grids. For immunogold labelling, these latter were immersed in a solution of sellotape dissolved in chloroform prior to use, to enhance section adherence during the labelling procedure. We used established methods to perform immunogold labelling TEM (52), which, briefly were as follows. A modified PBS solution, pH 8.2, consisting of 1% BSA, 500 µl/l Tween-20, 10 mm Na EDTA and 0.2 g/l NaN3 was used throughout the following procedures for all dilutions of antibodies and secondary gold probe. Thin sections were initially blocked in normal goat serum (1:10) for 30 min at room temperature, then incubated in a rabbit polyclonal anti-Histone H3 (trimethyl K9) antibody (Abcam plc [Ab8898], Cambridge, UK) at 10 μg/ml IgG final concentration overnight at 4°C. After 3 × 2 min PBS+ rinses, the sections were immunolabelled with 10 nm gold particle-conjugated goat anti-rabbit IgG secondary probe (1:10 for 1 h at room temperature; British BioCell International, Cardiff, UK). Sections were subsequently rinsed in PBS+ (3 × 10 min) and distilled water (4 × 5 min). All thin sections (for immunogold labelling or ultrastructural analysis) were subsequently post-stained in 2% (w/v) aqueous 0.22 μm-filtered uranyl acetate for 1 h. The thin sections were examined in a Hitachi 7100 TEM at 100 kV, systematically scanned for motor neurons and images acquired digitally with an axially mounted (2K × 2K) Gatan (Gatan UK, Abingdon, UK) Ultrascan 1000 CCD camera.
Quantification of nuclear high-density regions
Image J computer software, developed by the National Institutes of Health (USA), was used to assess nuclear morphology. For the assessment of the percentage area of high-density regions within the nucleus (nuclear speckles), the areas of the nucleolus and nucleus were initially measured using a thresholding technique, pixels under a set level of darkness were removed from the image so that only pixels representing high-density nuclear regions were left. The total area of darker regions, excluding areas smaller than 250 pixels in size, were measured and this corresponded to the total high-density areas in the nucleoplasm. By calculating the fraction of total nuclear area, excluding the nucleolus, composed of darker pixels, the percentage area of high-density regions within the nucleus was obtained.
SUPPLEMENTARY MATERIAL
FUNDING
This work is funded by an Ataxia UK grant, a Wellcome Trust Investigator Award (103844), and a Lister Institute of Preventative Medicine Fellowship to S.E.-K. L.G. is the Graham Watts Senior Fellow, supported by the Brain Research Trust and the European Community's Seventh Framework Programme (FP7/2007-2013). Funding to pay the Open Access publication charges for this article was provided by the Wellcome Trust.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Limei Ju for technical assistance, Prof. Penny Jeggo, Prof. Keith Caldecott and members of the El-Khamisy laboratory for helpful discussions.
Conflict of Interest statement. None declared.
REFERENCES
- 1.Ahel I., Rass U., El-Khamisy S.F., Katyal S., Clements P.M., McKinnon P.J., Caldecott K.W., West S.C. The neurodegenerative disease protein aprataxin resolves abortive DNA ligation intermediates. Nature. 2006;443:713–716. doi: 10.1038/nature05164. [DOI] [PubMed] [Google Scholar]
- 2.Tumbale P., Williams J.S., Schellenberg M.J., Kunkel T.A., Williams R.S. Aprataxin resolves adenylated RNA–DNA junctions to maintain genome integrity. Nature. 2013 doi: 10.1038/nature12824. doi:10.1038/nature12824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.El-Khamisy S.F., Katyal S., Patel P., Ju L., McKinnon P.J., Caldecott K.W. Synergistic decrease of DNA single-strand break repair rates in mouse neural cells lacking both Tdp1 and aprataxin. DNA Repair (Amst.) 2009;8:760–766. doi: 10.1016/j.dnarep.2009.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Daley J.M., Wilson T.E., Ramotar D. Genetic interactions between HNT3/aprataxin and RAD27/FEN1 suggest parallel pathways for 5′ end processing during base excision repair. DNA Repair (Amst.) 2010;9:690–699. doi: 10.1016/j.dnarep.2010.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Clements P.M., Breslin C., Deeks E.D., Byrd P.J., Ju L., Bieganowski P., Brenner C., Moreira M.-C., Taylor A., Caldecott K.W. The ataxia-oculomotor apraxia 1 gene product has a role distinct from ATM and interacts with the DNA strand break repair proteins XRCC1 and XRCC4. DNA Repair (Amst.) 2004;3:1493–1502. doi: 10.1016/j.dnarep.2004.06.017. [DOI] [PubMed] [Google Scholar]
- 6.Becherel O.J. Nucleolar localization of aprataxin is dependent on interaction with nucleolin and on active ribosomal DNA transcription. Hum. Mol. Genet. 2006;15:2239–2249. doi: 10.1093/hmg/ddl149. [DOI] [PubMed] [Google Scholar]
- 7.Sykora P., Croteau D.L., Bohr V.A., Wilson D.M. Aprataxin localizes to mitochondria and preserves mitochondrial function. Proc. Natl. Acad. Sci. U. S. A. 2011;108:7437–7442. doi: 10.1073/pnas.1100084108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Moreira M.-C., Barbot C., Tachi N., Kozuka N., Uchida E., Gibson T., Mendonça P., Costa M., Barros J., Yanagisawa T., et al. The gene mutated in ataxia-ocular apraxia 1 encodes the new HIT/Zn-finger protein aprataxin. Nat. Genet. 2001;29:189–193. doi: 10.1038/ng1001-189. [DOI] [PubMed] [Google Scholar]
- 9.Date H., Onodera O., Tanaka H., Iwabuchi K., Uekawa K., Igarashi S., Koike R., Hiroi T., Yuasa T., Awaya Y., et al. Early-onset ataxia with ocular motor apraxia and hypoalbuminemia is caused by mutations in a new HIT superfamily gene. Nat. Genet. 2001;29:184–188. doi: 10.1038/ng1001-184. [DOI] [PubMed] [Google Scholar]
- 10.Le Ber I. Cerebellar ataxia with oculomotor apraxia type 1: clinical and genetic studies. Brain. 2003;126:2761–2772. doi: 10.1093/brain/awg283. [DOI] [PubMed] [Google Scholar]
- 11.Reynolds J.J., El-Khamisy S.F., Katyal S., Clements P., McKinnon P.J., Caldecott K.W. Defective DNA ligation during short-patch single-strand break repair in ataxia oculomotor apraxia 1. Mol. Cell. Biol. 2009;29:1354–1362. doi: 10.1128/MCB.01471-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.De Amicis A., Piane M., Ferrari F., Fanciulli M., Delia D., Chessa L. Role of senataxin in DNA damage and telomeric stability. DNA Repair (Amst.) 2011;10:199–209. doi: 10.1016/j.dnarep.2010.10.012. [DOI] [PubMed] [Google Scholar]
- 13.Harris J.L., Jakob B., Taucher-Scholz G., Dianov G.L., Becherel O.J., Lavin M.F. Aprataxin, poly-ADP ribose polymerase 1 (PARP-1) and apurinic endonuclease 1 (APE1) function together to protect the genome against oxidative damage. Hum. Mol. Genet. 2009;18:4102–4117. doi: 10.1093/hmg/ddp359. [DOI] [PubMed] [Google Scholar]
- 14.Gueven N. Aprataxin, a novel protein that protects against genotoxic stress. Hum. Mol. Genet. 2004;13:1081–1093. doi: 10.1093/hmg/ddh122. [DOI] [PubMed] [Google Scholar]
- 15.Reynolds J.J., El-Khamisy S.F., Caldecott K.W. Short-patch single-strand break repair in ataxia oculomotor apraxia-1. Biochem. Soc. Trans. 2009;37:577–581. doi: 10.1042/BST0370577. [DOI] [PubMed] [Google Scholar]
- 16.Lindahl T. Instability and decay of the primary structure of DNA. Nature. 1993;362:709–715. doi: 10.1038/362709a0. [DOI] [PubMed] [Google Scholar]
- 17.Alagoz M., Chiang S.-C., Sharma A., El-Khamisy S.F. ATM deficiency results in accumulation of DNA-topoisomerase I covalent intermediates in neural cells. PLoS ONE. 2013;8:e58239. doi: 10.1371/journal.pone.0058239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Barbosa L.F., Cerqueira F.M., Macedo A.F.A., Garcia C.C.M., Angeli J.P.F., Schumacher R.I., Sogayar M.C., Augusto O., Carrì M.T., Di Mascio P., et al. Increased SOD1 association with chromatin, DNA damage, p53 activation, and apoptosis in a cellular model of SOD1-linked ALS. Biochim. Biophys. Acta. 2010;1802:462–471. doi: 10.1016/j.bbadis.2010.01.011. [DOI] [PubMed] [Google Scholar]
- 19.An T., Shi P., Duan W., Zhang S., Yuan P., Li Z., Wu D., Xu Z., Li C., Guo Y. Oxidative stress and autophagic alteration in brainstem of SOD1-G93A mouse model of ALS. Mol. Neurobiol. 2014;49:1435–1448. doi: 10.1007/s12035-013-8623-3. [DOI] [PubMed] [Google Scholar]
- 20.Gurney M.E., Pu H., Chiu A.Y., Dal Canto M.C., Polchow C.Y., Alexander D.D., Caliendo J., Hentati A., Kwon Y.W., Deng H.X. Motor neuron degeneration in mice that express a human Cu,Zn superoxide dismutase mutation. Science. 1994;264:1772–1775. doi: 10.1126/science.8209258. [DOI] [PubMed] [Google Scholar]
- 21.Dimri G.P., Lee X., Basile G., Acosta M., Scott G., Roskelley C., Medrano E.E., Linskens M., Rubelj I., Pereira-Smith O. A biomarker that identifies senescent human cells in culture and in aging skin in vivo. Proc. Natl. Acad. Sci. U.S.A. 1995;92:9363–9367. doi: 10.1073/pnas.92.20.9363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Zhou Z.-W., Liu C., Li T.-L., Bruhn C., Krueger A., Min W., Wang Z.-Q., Carr A.M. An essential function for the ATR-activation-domain (AAD) of TopBP1 in mouse development and cellular senescence. PLoS Genet. 2013;9:e1003702. doi: 10.1371/journal.pgen.1003702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Passos J.F., Saretzki G., von Zglinicki T. DNA damage in telomeres and mitochondria during cellular senescence: is there a connection? Nucleic Acids Res. 2007;35:7505–7513. doi: 10.1093/nar/gkm893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Pourquier P., Ueng L.M., Fertala J., Wang D., Park H.J., Essigmann J.M., Bjornsti M.A., Pommier Y. Induction of reversible complexes between eukaryotic DNA topoisomerase I and DNA-containing oxidative base damages. 7, 8-dihydro-8-oxoguanine and 5-hydroxycytosine. J. Biol. Chem. 1999;274:8516–8523. doi: 10.1074/jbc.274.13.8516. [DOI] [PubMed] [Google Scholar]
- 25.Kathe S.D., Shen G.-P., Wallace S.S. Single-stranded breaks in DNA but not oxidative DNA base damages block transcriptional elongation by RNA polymerase II in HeLa cell nuclear extracts. J. Biol. Chem. 2004;279:18511–18520. doi: 10.1074/jbc.M313598200. [DOI] [PubMed] [Google Scholar]
- 26.Lev N., Ickowicz D., Barhum Y., Melamed E., Offen D. DJ-1 changes in G93A-SOD1 transgenic mice: implications for oxidative stress in ALS. J. Mol. Neurosci. 2009;38:94–102. doi: 10.1007/s12031-008-9138-7. [DOI] [PubMed] [Google Scholar]
- 27.Cassina P., Cassina A., Pehar M., Castellanos R., Gandelman M., de Leon A., Robinson K.M., Mason R.P., Beckman J.S., Barbeito L., et al. Mitochondrial dysfunction in SOD1G93A-bearing astrocytes promotes motor neuron degeneration: prevention by mitochondrial-targeted antioxidants. J. Neurosci. 2008;28:4115–4122. doi: 10.1523/JNEUROSCI.5308-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Liu R., Li B., Flanagan S.W., Oberley L.W., Gozal D., Qiu M. Increased mitochondrial antioxidative activity or decreased oxygen free radical propagation prevent mutant SOD1-mediated motor neuron cell death and increase amyotrophic lateral sclerosis-like transgenic mouse survival. J. Neurochem. 2002;80:488–500. doi: 10.1046/j.0022-3042.2001.00720.x. [DOI] [PubMed] [Google Scholar]
- 29.Son M., Puttaparthi K., Kawamata H., Rajendran B., Boyer P.J., Manfredi G., Elliott J.L. Overexpression of CCS in G93A-SOD1 mice leads to accelerated neurological deficits with severe mitochondrial pathology. Proc. Natl. Acad. Sci. U. S. A. 2007;104:6072–6077. doi: 10.1073/pnas.0610923104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wong P.C., Pardo C.A., Borchelt D.R., Lee M.K., Copeland N.G., Jenkins N.A., Sisodia S.S., Cleveland D.W., Price D.L. An adverse property of a familial ALS-linked SOD1 mutation causes motor neuron disease characterized by vacuolar degeneration of mitochondria. Neuron. 1995;14:1105–1116. doi: 10.1016/0896-6273(95)90259-7. [DOI] [PubMed] [Google Scholar]
- 31.Hensley K., Floyd R.A., Gordon B., Mou S., Pye Q.N., Stewart C., West M., Williamson K. Temporal patterns of cytokine and apoptosis-related gene expression in spinal cords of the G93A-SOD1 mouse model of amyotrophic lateral sclerosis. J. Neurochem. 2002;82:365–374. doi: 10.1046/j.1471-4159.2002.00968.x. [DOI] [PubMed] [Google Scholar]
- 32.Niedernhofer L.J., Garinis G.A., Raams A., Lalai A.S., Robinson A.R., Appeldoorn E., Odijk H., Oostendorp R., Ahmad A., van Leeuwen W., et al. A new progeroid syndrome reveals that genotoxic stress suppresses the somatotroph axis. Nature. 2006;444:1038–1043. doi: 10.1038/nature05456. [DOI] [PubMed] [Google Scholar]
- 33.Rass U., Ahel I., West S.C. Actions of aprataxin in multiple DNA repair pathways. J. Biol. Chem. 2007;282:9469–9474. doi: 10.1074/jbc.M611489200. [DOI] [PubMed] [Google Scholar]
- 34.Rass U., Ahel I., West S.C. Molecular mechanism of DNA deadenylation by the neurological disease protein aprataxin. J. Biol. Chem. 2008;283:33994–34001. doi: 10.1074/jbc.M807124200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Çağlayan M., Batra V.K., Sassa A., Prasad R., Wilson S.H. Role of polymerase β in complementing aprataxin deficiency during abasic-site base excision repair. Nat. Struct. Mol. Biol. 2014;21:497–499. doi: 10.1038/nsmb.2818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.El-Khamisy S.F. To live or to die: a matter of processing damaged DNA termini in neurons. EMBO Mol. Med. 2011;3:78–88. doi: 10.1002/emmm.201000114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Shiloh Y., Ziv Y. The ATM protein kinase: regulating the cellular response to genotoxic stress, and more. Nat. Rev. Mol. Cell Biol. 2013;14:197–210. [PubMed] [Google Scholar]
- 38.Lavin M.F., Delia D., Chessa L. ATM and the DNA Damage Response. Workshop on ataxia-telangiectasia and related syndromes. EMBO Rep., 2006;7:154–160. doi: 10.1038/sj.embor.7400629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hudson J.J.R., Chiang S.-C., Wells O.S., Rookyard C., El-Khamisy S.F. SUMO modification of the neuroprotective protein TDP1 facilitates chromosomal single-strand break repair. Nat. Commun. 2012;3:733. doi: 10.1038/ncomms1739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Roche M., Rondeau P., Singh N.R., Tarnus E., Bourdon E. The antioxidant properties of serum albumin. FEBS Lett. 2008;582:1783–1787. doi: 10.1016/j.febslet.2008.04.057. [DOI] [PubMed] [Google Scholar]
- 41.Reijns M.A.M., Rabe B., Rigby R.E., Mill P., Astell K.R., Lettice L.A., Boyle S., Leitch A., Keighren M., Kilanowski F., et al. Enzymatic removal of ribonucleotides from DNA is essential for mammalian genome integrity and development. Cell. 2012;149:1008–1022. doi: 10.1016/j.cell.2012.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kim N., Huang S.Y.N., Williams J.S., Li Y.C., Clark A.B., Cho J.E., Kunkel T.A., Pommier Y., Jinks-Robertson S. Mutagenic processing of ribonucleotides in DNA by yeast topoisomerase I. Science. 2011;332:1561–1564. doi: 10.1126/science.1205016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Chiang S.-C., Carroll J., El-Khamisy S.F. TDP1 serine 81 promotes interaction with DNA ligase IIIalpha and facilitates cell survival following DNA damage. Cell Cycle. 2010;9:588–595. doi: 10.4161/cc.9.3.10598. [DOI] [PubMed] [Google Scholar]
- 44.Meagher M., Lightowlers R.N. The role of TDP1 and APTX in mitochondrial DNA repair. Biochimie. 2014;100:121–124. doi: 10.1016/j.biochi.2013.10.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Tripathi V., Song D.Y., Zong X., Shevtsov S.P., Hearn S., Fu X.-D., Dundr M., Prasanth K.V. SRSF1 regulates the assembly of pre-mRNA processing factors in nuclear speckles. Mol. Biol. Cell. 2012;23:3694–3706. doi: 10.1091/mbc.E12-03-0206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Chang C.-T., Hautbergue G.M., Walsh M.J., Viphakone N., van Dijk T.B., Philipsen S., Wilson S.A. Chtop is a component of the dynamic TREX mRNA export complex. EMBO J. 2013;32:473–486. doi: 10.1038/emboj.2012.342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Jolly C., Metz A., Govin J., Vigneron M., Turner B.M., Khochbin S., Vourc'h C. Stress-induced transcription of satellite III repeats. J. Cell Biol. 2004;164:25–33. doi: 10.1083/jcb.200306104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Garinis G.A., Uittenboogaard L.M., Stachelscheid H., Fousteri M., van Ijcken W., Breit T.M., van Steeg H., Mullenders L.H.F., van der Horst G.T.J., Brüning J.C., et al. Persistent transcription-blocking DNA lesions trigger somatic growth attenuation associated with longevity. Nat. Cell Biol. 2009;11:604–615. doi: 10.1038/ncb1866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Acevedo-Arozena A., Kalmar B., Essa S., Ricketts T., Joyce P., Kent R., Rowe C., Parker A., Gray A., Hafezparast M., et al. A comprehensive assessment of the SOD1G93A low-copy transgenic mouse, which models human amyotrophic lateral sclerosis. Dis. Model. Mech. 2011;4:686–700. doi: 10.1242/dmm.007237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Soura V., Stewart-Parker M., Williams T.L., Ratnayaka A., Atherton J., Gorringe K., Tuffin J., Darwent E., Rambaran R., Klein W., et al. Visualization of co-localization in Aβ42-administered neuroblastoma cells reveals lysosome damage and autophagosome accumulation related to cell death. Biochem. J. 2012;441:579–590. doi: 10.1042/BJ20110749. [DOI] [PubMed] [Google Scholar]
- 51.Thorpe J.R., Rulten S.L., Kay J.E. Binding of a putative and a known chaperone protein revealed by immunogold labeling transmission electron microscopy: A suggested use of chaperones as probes for the distribution of their target proteins. J. Histochem. Cytochem. 1999;47:1633–1640. doi: 10.1177/002215549904701215. [DOI] [PubMed] [Google Scholar]
- 52.Thorpe J.R. The application of LR gold resin for immunogold labeling. Methods Mol. Biol. 1999;117:99–110. doi: 10.1385/1-59259-201-5:99. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.