Mark J Bigland1,2,3, Alan M Brichta1,2,3, Doug W Smith1,2,3. 1. Neurobiology of Ageing and Dementia Laboratory, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW 2308, Australia. 2. Preclinical Neurobiology Program, Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW 2308, Australia. 3. Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia.
Hair cells of the peripheral vestibular end organs are specialised neuroepithelial sensory cells that detect head movement and transduce this movement into electrochemical signals that are transmitted to the Central Nervous System (CNS) via the eighth cranial nerve. This head movement information is then used to help maintain posture, stabilise vision, and control movement. Thus, hair cells are the primary sensory unit of the vestibular system, a vital system that impacts the majority of, if not all, CNS functions [1]. Vestibular deficits causing dizziness, vertigo, and disequilibrium are considered one of the most common complaints in medicine, affecting around 30% of the general population [2]. Moreover, vestibular dysfunction disproportionately affects the elderly, with around 75% of people over the age of 65 being hospitalised due to falls [3] that are thought to be due, in part, to vestibular system dysfunction [2, 4]. The functional decline in the vestibular system, as assessed using video Head Impulse Testing (vHIT) of semicircular canal function, is apparent in humans by the eighth decade [5-7]. Although, the decline has been reported to occur as early as the sixth decade when dynamic visual acuity-based vestibular function tests were used [8, 9]. One plausible hypothesis to explain the age-related deficits in vestibular function, proposes that loss of sensory hair cells leads to the functional decline. However, in stark contrast to the auditory system, where Age-related Hearing Loss (AHL) has been shown to be associated with loss of cochlear sensory hair cells [10-12], vestibular hair cells appear remarkably resilient to the effects of ageing, with a significant decline in number not evident until the tenth decade [13], later than the appearance of peripheral functional deficits [8, 9]. An alternative hypothesis is therefore needed to explain the vestibular functional decline with ageing, and it is likely that there are hair cell functional deficits that precede frank hair cell loss in humans.Many studies have implicated mitochondria in the ageing process [14, 15], and given hair cell function is critically dependant on mitochondrial function [16], it is possible that mitochondrial dysfunction plays a role in vestibular hair cell functional impairment in the elderly. Vestibular hair cells rely on mitochondria primarily for two major roles, energy production and calcium buffering [16, 17]. For example, the vestibular neuroepithelium has gene and protein expression profiles indicating a high demand for oxidative phosphorylation (OXPHOS) based ATP-production [16]. Also, it is thought that much of a hair cell’s ATP requirements are required to pump Ca2+, which enters the hair cell via mechanotransduction channels during hair bundle deflection, back into the surrounding endolymph via plasma membrane calcium ATPases [18]. It is well-known that OXPHOS produces the majority of a cell’s Reactive Oxygen Species (ROS) and that these can potentially lead to damage of mitochondrial DNA (mtDNA) and other cell structures [19, 20]. The proximity of mtDNA to the sites of ROS production likely contributes to the mutation frequency in the mitochondrial genome being up to 17 times greater than in the nuclear genome [20, 21]. It is also thought a lack of mtDNA histones and lower proofreading capabilities contribute to this increased mutation burden [22]. Given these ATP generation and Ca2+ buffering requirements and ROS vulnerabilities, vestibular hair cells are potentially susceptible to mitochondrial dysfunction.Indeed, there is a precedent for age-related mtDNA changes in inner ear hair cells with reports of mtDNA mutations in the cochlea. For example, the abundance of the “common” mtDNA deletion, one specific type of mtDNA deletion mutation, was correlated with the degree of human age-related hearing loss (presbycusis) [23]. Additionally, using a major versus minor arc comparative qPCR approach, an age-related increase in major arc mtDNA deletions was found in rat cochlear hair cells [24]. Evidence for a link between mtDNA mutation and vestibular function is apparent from patients harbouring mtDNA point mutations and showing peripheral vestibular organ dysfunction [25]. These studies demonstrate that mtDNA mutations have the potential to cause age-related vestibular hair cell dysfunction. In our study, we characterised the effects of ageing on mtDNA deletions, and mtDNA copy number, in rat vestibular cristae.In summary, as mitochondrial function is crucial to neuronal function and mitochondria are thought to contribute to age-related dysfunction [26], we investigated vestibular cristae mitochondria to determine potential involvement in age-related impairments within the vestibular balance system. We determined mitochondrial genome copy number and quantified mtDNA deletions in the inner ear vestibular cristae of young and old rats. We used laser microdissection to separately enrich for the neuroepithelial sensory hair cells and supporting cell layers of the cristae, and then used a comparative qPCR approach to determine the effects of ageing on mtDNA in these layers. Finally, to determine the potential effects of mtDNA changes on mitochondrial OXPHOS function, we carried out a gene set enrichment analysis (GSEA) [27]. We evaluated the degree to which a gene set comprising mitochondrial and nuclear-encoded genes that encode the proteins of the five mitochondrial respiratory complexes, is enriched in the microarray gene expression profiles of the vestibular organs from young and old animals.
MATERIALS AND METHODS
Animals and Tissue Preparation
Male Fisher 344 (F344) rats were group housed and maintained on a standard 12-hour light/dark cycle in a temperature and humidity controlled holding room, with ad libitum access to standard rat food and water. The use and monitoring of animals were performed in accordance with the National Health and Medical Research Council’s Australian Code of Practice for the Care and Use of Animals for Scientific Purpose, with approval from the University of Newcastle Animal Care and Ethics Committee, Australia (Approval number A-2006-902). At young (4-6 months; n = 7-14) and old (23-26 months; n = 7) ages, animals were euthanised with lethabarb (Virbac; 1mg/kg) and then transcardially perfused with 50 mls of ice-cold PBS, followed by 200 mls of freshly prepared, ice-cold 4% paraformaldehyde. Whole inner ears containing the vestibular labyrinths were removed from the skull and immersion post-fixed in 4% paraformaldehyde overnight, before being transferred to PBS. The three cristae were dissected from each inner ear bone and oriented in Optimum Cutting Temperature (OCT) embedding compound and frozen. Each crista was serially cryosectioned at 10 µm thickness and sections were thawed onto clean glass microscope slides and stored at -20 ˚C until further use.
Nissl Staining
In preparation for Nissl staining, sections were rinsed in ice-cold PBS and then placed in a 10% cresyl violet solution for 1 minute. Excess dye solution was removed with a 1 minute PBS wash and sections were dehydrated by 15-second immersions in 70% and then in 100% ethanol.
Laser Microdissection
Nissl stained, dehydrated sections were mounted on a PALM Microbeam laser microdissection system (Zeiss) and cristae hair and supporting cell layers were separately microdissected and collected into DNA lysis buffer (Qiagen). The hair cells were separately collected from the central (CZ) and Peripheral Zones (PZ), as designated previously [28], for each of the horizontal, anterior, and posterior cristae. Supporting cell layers were collected without partitioning crista into zones and samples from each of the 3 cristae were pooled for each animal.
DNA Extraction and qPCR
DNA was extracted from enriched hair cell and supporting cell layers using QIAGEN DNeasy Blood and Tissue kits, following the manufacturer’s instructions. The relative abundance of mtDNA genes was determined using quantitative PCR (qPCR) as previously described [29]. Additionally, mtDNA copy number was also estimated by comparing mtDNA and nuclear DNA (nDNA) levels. For the latter, we used pseudo-Gapdh (psGapdh, Table ), a multicopy pseudogene that improves qPCR reproducibility for the nuclear reference gene and therefore permits a more accurate determination of copy number. There is an estimated 364 Gapdh pseudogenes in the rat genome [30] and in preliminary qPCR studies, we found that pseudo-Gapdh was reproducibly detected 6.9 cycles earlier than standard Gapdh. This equates to approximately 240 total Gapdh copies, or 66% of the predicted Gapdh pseudogene complement. Primers were designed using primer blast (http://www.ncbi.nlm.nih.gov/tools/primer-blast/). Primer sequences are listed in Table . qPCR reactions were done in triplicate for each gene using 1x SensiMix SYBR Lo-Rox qPCR mix (Bioline, Australia), 200nM of each forward and reverse primer, and 5µL of DNA sample, in a total volume of 12 µL per reaction. Amplification was performed using an Applied Biosystems 7500 Real-Time PCR machine with initial denaturation and activation step at 95°C for 10 min, followed by 45 cycles of 95°C for 15s and 60°C for 60s.
Microarray Gene Expression Analysis
Three young and 3 old F344 rats were euthanised and perfused as described above for the DNA work, except that the PBS was diethylpyrocarbonate (DEPC) treated to inactivate RNAses, and there was no paraformaldehyde perfusion. Vestibular organs were dissected out on ice, placed in RNA Later to maintain RNA integrity, and then stored at -80˚C until further use. Total RNA was extracted from the vestibular organs and processed for microarray analysis as we have previously described [31]. Briefly, approximately 100 ng of total RNA was DNAse I (Invitrogen) treated. RNA integrity analysis, cRNA amplification, and hybridization on Affymetrix GeneChIP Rat Gene 1.0 ST microarrays (probe for an estimated 27,342 genes), were then carried out at the Ramaciotti Centre for Genomics (University of New South Wales, Australia). RNA integrity was assessed by Bioanalyser (Agilent Technologies) and the average RIN number was 7.8 (range, 7.4-8.2). Affymetrix CEL files were imported into GenePattern for GSEA and analysed as described below.
Data Analysis
mtDNA Analyses: For each gene the average threshold cycle (Ct) value was calculated using 7500 SDS software v2.0.6 (Applied Biosystems). In mtDNA with no deletions/rearrangements, all genes should be in equal abundance and, therefore, any change in relative abundance will indicate the presence of mtDNA deletions or rearrangements. To compare relative mtDNA gene abundances the delta Ct (ΔCt) method was used, where ΔCt = Ct[mtDNA GeneA] – Ct[mtDNA GeneB], and then the average ΔCt for each gene pairing for each age was compared. The comparisons included; Nd1 to Nd4, Nd1 to 12s, Nd1 to Cytb, 12s to Cytb, 12s to Nd4, Cytb to Nd4. The relative mtDNA copy number was calculated in a similar manner, using psGapdh as the nuclear genome reference and Nd1 for the mitochondrial gene. Statistical analyses were done using two-tailed T-tests with Hohm-Bonferroni correction applied as necessary for multiple testing [32]. Significance was set at p < 0.05 for all analyses. Data are presented as mean ± standard error of the mean (SEM).Oxidative Phosphorylation Related Gene Expression: Data files for GSEA were prepared according to the GSEA User Guide. Files were uploaded to and GSEA was run via the GenePattern portal. We used an OXPHOS gene set curated from the Kyoto Encyclopedia of Genes and Genomes (KEGG) with additional genes as indicated in the Rat Genome Database (RGD; http://rgd.mcw.edu/wg/home) for the enrichment analysis. The gene set was based on the KEGG Pathway – 1.2 Energy metabolism – 00190 – Oxidative phosphorylation, set for Rattus Norvegicus (http://www.genome.jp/kegg-bin/show_pathway?org_name=rno& mapno=00190&mapscale=1.0&show_description=show). The gene set contained 134 nuclear and mitochondrial genome encoded genes (see Supplementary Materials for OXPHOS Gene Set). The Affymetrix Ra_Gene_ST CEL files were imported into AffySTExpressionFileCreator to create the GCT file for importation into GSEA. RMA normalization and background correction was carried out in AffySTExpressionFileCreator. GSEA was run using the following parameters: Number of permutations = 1000, Permutation type = Gene set. All other settings were left as defaults.
RESULTS
Laser Microdissection of Vestibular Crista Hair Cells and Supporting Cells
Isolation of enriched hair cell and supporting cell layers from the vestibular cristae was achieved using laser microdissection. We have previously demonstrated laser microdissection enriches samples for specific cell types [29, 33]. We were able to microdissect and isolate the sensory hair cell layers from the underlying supporting cells, and the supporting cell layers from the non-neuroepithelial tissue of the crista, resulting in relatively enriched cell samples, respectively (Fig. ).
Age-Related Changes in mtDNA Genes in Vestibular Cristae Hair Cells
We determined the presence of mtDNA deletions/rearrangements by comparing the relative abundances of individual mtDNA genes from different regions of the mitochondrial genome (Nd1, Nd4, Cytb, and 12s rRNA), as we have previously reported for midbrain dopamine neurons [31]. Two-way ANOVA analysis with age, crista, and crista region as the main effects, showed there were no significant effects of crista for any of the mtDNA comparisons, including copy number. Therefore, the data for individual animals were averaged across the three cristae for each gene. The CZ and PZ were kept as separate regions of interest. There were significant age-related differences in the abundance of Cytb and Nd4 relative to Nd1 in the CZ, with these two genes being approximately 40% and 30% more abundant in old animals, respectively, compared to Nd1 (Fig. ). In the PZ, a similar relative abundance pattern was found, with both Nd4 and Cytb being approximately 30% more abundant than Nd1 in the old animals (Fig. ). Nd4 was also found to be significantly more abundant than 12s in the PZ of old animals (Fig. ). The relative levels of all other mtDNA genes tested were not significantly different between young and old. There was no evidence for mtDNA deletions.
Effects of Ageing on mtDNA Copy Number in Vestibular Cristae Hair Cells
The relative abundances of mtDNA and nDNA genes were used to determine the effects of ageing on mtDNA copy number. There were no significant effects of crista on mtDNA copy number, so the values for the three separate cristae were averaged for each animal, while still maintaining CZ and PZ separation. There was a significant reduction in mtDNA copy number in crista hair cell layers of old animals, with an approximate 50% decrease in both the CZ and PZ (Fig. ). However, there was no significant difference in the reduction between the CZ and PZ.
Age-Related Changes in mtDNA Genes in Vestibular Cristae Supporting Cells
There were significant increases in Cytb relative to Nd1, Nd4, and 12s, and a trend towards an increase of 12s relative to Nd1 (Fig. ). There were no significant differences in relative mtDNA gene levels between Nd1 and Nd4, or Nd4 and 12s. These data indicate the only effect of ageing was to increase the Cytb region relative to other mtDNA genes. Again, there was no evidence for mtDNA deletions.
Effects of Ageing on mtDNA Copy Number in Vestibular Cristae Supporting Cells
There was a significant and marked effect of ageing on mtDNA copy number in crista supporting cells, with an approximate 75% reduction in old animals compared to young animals (Fig. ).
Effects of Ageing on Oxidative Phosphorylation Related Gene Expression in the Vestibular Organs
Microarray profiling and GSEA detected the vast majority of annotated genes, with 14,101 listed in the ranked genes list. Overall, of the 134 nuclear and mitochondrial encoded genes in the OXPHOS gene set, 106 were reported in the ranked list as determined by GSEA, and therefore included in the enrichment analysis. Six of the 13 mtDNA encoded genes were not listed (Nd3, Nd4, Nd4l, Cox3, Atp6, Atp8). GSEA revealed there was a significant enrichment of OXPHOS genes only for the young age group (p = 0.023), indicating ageing has significantly impacted this pathway. Core enrichment genes are those genes that make the largest contribution to the enrichment score and, importantly, 86% (6/7) of mtDNA encoded genes that were in the ranked gene list, were core enrichment genes (Table ). Ageing also impacted the expression of nuclear genome encoded OXPHOS genes. Eighteen complex I, 1 complex II, 2 complex III, 9 complex IV, and 19 complex V, nuclear-encoded genes were in the 55 core enrichment genes (Table ). Overall, combining mitochondrial and nuclear-encoded OXPHOS genes, 55% of complex I genes (22 of 40 GSEA ranked genes), 25% of complex II genes (all 4 complex II genes are nuclear encoded and were ranked by GSEA), 33% of complex III genes (2 of 6 GSEA ranked genes), 55% of complex IV genes (7 of 20 GSEA ranked genes), and 53% of complex V genes (19 of 36 GSEA ranked genes), were in the core enrichment list (Table ).
DISCUSSION
Mitochondrial DNA deletions are known to accumulate with ageing and are a characteristic of tissues from aged animals, particularly post-mitotic tissues such as the nervous system, and skeletal and cardiac muscle [34-40]. Increased abundance of mtDNA deletions is associated with mitochondrial dysfunction in the brain [41, 42] and skeletal muscle [35, 40]. Age-related accumulation of mtDNA deletions can therefore compromise cell activity through compromised mitochondrial function. Indeed, it has even been argued that mtDNA deletions drive the ageing process [43]. The vestibular neuroepithelium (hair cells and supporting cells) is thought to rely predominantly on mitochondrial oxidative phosphorylation (as opposed to glycolysis) for its ATP requirements [16]. As mtDNA encodes for 13 subunits of the mitochondrial respiratory chain, deletion mutations in sufficient abundance would affect mitochondrial and thus hair cell/supporting cell function. Notably, mtDNA deletions have been detected in the other neurosensory structure of the inner ear, namely the cochlea, in both aged humans and rats [24, 44]. Since we have reported increased mtDNA deletion abundance in CNS regions, and substantia nigra dopamine neurons in aged F344 rats, the strain used in this study [29, 36], we therefore hypothesised that ageing would result in increased levels of mtDNA deletions in the vestibular neuroepithelium.Somewhat surprisingly, our current data however, indicate ageing does not result in an increase in mtDNA deletions in either hair cells or supporting cells of the vestibular neuroepithelium. On the contrary, using the same primer sequences and qPCR analysis methods with which we previously demonstrated age-related mtDNA deletions [29], we detected increased relative levels of the major arc region genes, Cytb and Nd4, in the hair cell layer, and Cytb in the supporting cell layer (Figs. 2 and 4). The effects of ageing on these mtDNA major arc regions were similar for hair cells from both the central and peripheral zones of the neuroepithelium, two zones thought to differ in the response dynamics of their respective hair cell populations [45]. One possible explanation for our results is mtDNA duplication. Ageing is associated with a variety of mtDNA rearrangements including point [46-49] and deletion mutations [34, 36, 39, 41, 50], and tandem duplications [22, 51, 52]. The reasons for age-related increases in mtDNA duplication abundance are not known, but it has been suggested that they may be protective against age-related deletion mutations [52], a suggestion that is consistent with the importance of vestibular function to survival.Mitochondrial copy number was significantly reduced in both the hair cell and supporting cell layers (Figs. and ). We have previously reported a modest age-related decrease in mtDNA copy number in the brain of the F344 strain of rat [53], although others using the same animal model have found no effect [54], the latter finding is consistent with human data [55]. However, other peripheral tissues have shown age-related mtDNA copy number changes. For example, decreases have been reported in liver and skeletal muscle [54, 56-58]. Although it should be noted, there appears to be species- and/or gender-dependency for some of these effects [55, 57, 59]. Indeed, the effects are very likely tissue, sub-tissue (e.g. different types of skeletal muscle, see [60]), and cell-specific. To date the effects of ageing on mtDNA copy number in the cochlea have not been reported, so our present findings constitute the first report on the effects of ageing on mtDNA copy number in the inner ear. The number of mtDNA copies and OXPHOS capacity are tightly linked [61], and as the vestibular organs are thought to rely heavily on OXPHOS for ATP [16], the ~50-70% reductions in mtDNA copy number reported here indicate the aged peripheral vestibular system has significantly reduced energy producing capacity and therefore is likely to be on the brink of an energy crisis. For example, sensitivity of vestibular hair cells to the ototoxic actions of gentamicin could be increased in the elderly due to this potential energy crisis [62]. Indeed, our OXPHOS GSEA indicates the oxidative phosphorylation pathway in the vestibular organs is affected by ageing. The OXPHOS gene set, which comprised 106 genes detected by microarray and GSEA, was significantly enriched in the expression profile of the young animals. In other words, across the OXPHOS gene set the expression levels were higher in the young vestibular organs than in the old. This was true for both mitochondrial and nuclear genome encoded OXPHOS genes. Reduced mitochondrial OXPHOS gene expression would be expected based on our mtDNA results, and have been reported for other tissues with ageing [56]. There is also mito-nuclear interaction that ensures the two cellular compartments are coupled with regards OXPHOS function [63]. For example, mitochondrial and nuclear-encoded OXPHOS subunits assemble in precise stoichiometric ratios and if these are perturbed mitonuclear imbalance can occur, triggering proteostasis restoration mechanisms such as the mitochondrial unfolded protein response [64]. In the present study, we found a marked drop in mtDNA copy number, which would be expected to cause a drop in OXPHOS gene expression for both mitochondrial and nuclear-encoded subunits, in order to maintain mito-nuclear balance. In support of this notion, we found ageing affected all five OXPHOS complexes, including succinate dehydrogenase (Complex II), which is completely nuclear encoded, as well as complexes with contributions from both genomes (See Table ).The age-related reduction in mtDNA copy number could be due to a number of factors. For example, there may be a decrease in mtDNA copies per mitochondrion and/or a reduction in the number of mitochondrial organelles. Given that we normalised mtDNA to the nuclear genome, the drop cannot be explained by an age-related decrease in cell number. Furthermore, ageing has a relatively modest effect on vestibular hair cell degeneration (for discussion, see [65]. Decreased mitochondrial biogenesis or increased mitophagy will result in a drop of mitochondrial organelles in a cell. Maintenance of cell function requires quality control of mitochondria, and this is achieved through balancing autophagic destruction (mitophagy) of damaged mitochondria and organelle biogenesis [66]. In fact, maintenance of cellular homeostasis requires the elimination of damaged old mitochondria, often with low membrane potential and high ROS production, and concomitant replacement by new and more efficient mitochondria [67]. Whether there is a biogenesis-mitophagy imbalance in the inner ear vestibular apparatus (or cochlea) with ageing is not known.The reasons for the relative increase in a subset of mtDNA genes with age are not clear from the present study. Intriguingly, these increased levels of mtDNA in the Cytb and Nd4 regions are, in part, similar to the multimers (~200-800 bp long) found in the brains and other post-mitotic tissues of “mutator” mice, an experimental model of accelerated ageing [68]. Notably, it has been suggested these mtDNA multimers may detrimentally affect mtDNA replication [68], which may explain the reduced mtDNA copy number we see in the vestibular crista neuroepithelium. Another, not necessarily mutually exclusive possibility, is the occurrence of partial mtDNA fragments that arise due to incomplete genome replication. Replication of mtDNA starts at the heavy strand origin (OH) located in the control region [69], and proceeds towards the Cytb and Nd4 genes, which are significantly elevated in cristae hair cell and supporting cell layers of old animals. Oxidative damage is considered a ubiquitous aspect of the ageing process, and the mtDNA replisome stalls at sites of oxidative DNA damage [70], potentially resulting in truncated mtDNA fragments. We speculate it is these fragments that we have detected in our old vestibular cristae. Whatever the cause of the elevated mitochondrial genome fragments, further work is required to confirm the nature of the fragments, determine the underlying reasons for their existence, and evaluate their impacts on mtDNA replication.
CONCLUSION
Ageing is associated with a significant reduction in mtDNA copies in the vestibular crista neuroepithelium, and with an overall reduction in the expression of oxidation phosphorylation genes. Also, there was an increase in the relative abundance of mtDNA major arc genes Cytb and Nd4, which we speculate could reflect stalled mtDNA replication and potentially cause the mtDNA decline. Whatever the underlying mechanisms, our mtDNA and oxidative phosphorylation gene expression data indicate the aged peripheral vestibular system is energetically vulnerable and susceptible to mechanical and chemical damage.
Table 1
Gene primer sequences.
Genome
Primer
Sequence 5' - 3' (bp)
Mitochondrial
Nd1 F
TGACCAACTAATGCACCTCCTA (3585- 3606)
Nd1 R
GAAAATTGGCAGGGAAATGT (3650- 3669)
12s F
TAGGACCTAAGCCCAATAACGA (420-441)
12s R
TGGGGTATCTAATCCCAGTTTG (484-505)
Nd4 F
TTACACGATGAGGCAACCAA (10557 – 10576)
Nd4 R
GAGTGGGATGGAGCCATTA (10619-10638)
Cytb F
TGACAAACATCCGAAAATCTCA (14137- 14158)
Cytb R
AGGTGGCTGGCACGAAATTTACCAA (14176-14197)
Nuclear
psGapdh F
GGCATCCTGGGCTACACTGAGGA
psGapdh R
GTTGCTGTTGAAGTCACAGGAGACA
Table 2
Core enrichment genes within the 106 gene OXPHOS gene set.
Complex I
Complex II
Complex III
Complex IV
Complex V
Nd1 (-0.049)
Ndufb10 (0.032)
Sdha (0.005)
Cyc1 (0.014)
Cox1 (-0.025)
Atp5a1 (-0.032)
Atp6v0d2 (-0.061)
Nd2 (-0.030)
Ndufb11 (0.017)
Sdhb (0.006)
Cytb (-0.008)
Cox11 (-0.022)
Atp5b (-0.016)
Atp6v0e1 (0.021)
Nd5 (-0.022)
Ndufb2 (-0.019)
Sdhc (0.031)
Uqcrc1 (0.033)
Cox15 (-0.013)
Atp5c1 (-0.035)
Atp6v0e2 (-0.038)
Nd6 (-0.018)
Ndufb3 (-0.026)
Sdhd (-0.033)
Uqcrc2 (-0.026)
Cox17 (-0.026)
Atp5d (0.054)
Atp6v1a (-0.053)
Ndufa1 (0.016)
Ndufb5 (-0.018)
-
Uqcrfs1 (0.021)
Cox18 (-0.026)
Atp5f1 (-0.016)
Atp6v1b1 (0.024)
Ndufa12 (-0.012)
Ndufb6 (0.032)
-
Uqcrq (-0.027)
Cox19 (0.022)
Atp5g2 (-0.065)
Atp6v1b2 (-0.115)
Ndufa13 (0.024)
Ndufb7 (-0.018)
-
-
Cox2 (-0.023)
Atp5g3 (-0.023)
Atp6v1c1 (-0.025)
Ndufa2 (-0.007)
Ndufb8 (-0.012)
-
-
Cox4i1 (0.012)
Atp5h (-0.022)
Atp6v1d (0.009)
Ndufa3 (0.022)
Ndufb9 (0.007)
-
-
Cox4i2 (0.045)
Atp5i (-0.012)
Atp6v1e1 (-0.005)
Ndufa4 (-0.036)
Ndufc2 (-0.049)
-
-
Cox5a (-0.006)
Atp5j (-0.039)
Atp6v1e2 (0.006)
Ndufa5 (-0.034)
Ndufs1 (-0.048)
-
-
Cox6a1 (-0.014)
Atp5j2 (-0.022)
Atp6v1f (0.023)
Ndufa6 (0.031)
Ndufs2 (-0.006)
-
-
Cox6a2 (-0.016)
Atp5l (-0.071)
Atp6v1g1 (-0.029)
Ndufa7 (-0.003)
Ndufs3 (-0.072)
-
-
Cox6b1 (-0.032)
Atp5s (0.004)
Atp6v1g2 (-0.034)
Ndufa8 (-0.048)
Ndufs4 (-0.023)
-
-
Cox6b2 (0.034)
Atp5sl (0.033)
Atp6v1g3 (-0.001)
Ndufa9 (-0.015)
Ndufs5 (0.008)
-
-
Cox6c (-0.020)
Atp6ap1 (-0.018)
Atp6v1h (0.006)
Ndufab1 (-0.031)
Ndufs7 (-0.013)
-
-
Cox7a2 (0.000)
Atp6ap1l (0.028)
Tcirg1 (0.016)
Ndufaf1 (0.020)
Ndufs8 (0.031)
-
-
Cox7a2l (-0.009)
Atp6v0a1 (0.009)
-
Ndufaf2 (-0.067)
Ndufv1 (-0.011)
-
-
Cox7b (-0.070)
Atp6v0a4 (0.001)
-
Ndufaf3 (0.007)
Ndufv2 (0.016)
-
-
Cox8a (0.037)
Atp6v0b (0.027)
-
Ndufaf4 (0.028)
-
-
-
Cox8c (0.011)
Atp6v0d1 (0.004)
-
Note: bolding denotes core enrichment, underlined indicates mtDNA encoded. Numbers in brackets are GSEA’s Signal2Noise ranking metric score for each gene, which is the difference in mean expression of the young and old groups divided by the sum of their standard deviations. A negative score indicates the average expression of the gene was lower in the old group.