Molecular signatures of mammalian hibernation: comparisons with alternative phenotypes
© Xu et al.; licensee BioMed Central Ltd. 2013
Received: 21 January 2013
Accepted: 17 August 2013
Published: 20 August 2013
Mammalian hibernators display phenotypes similar to physiological responses to calorie restriction and fasting, sleep, cold exposure, and ischemia-reperfusion in non-hibernating species. Whether biochemical changes evident during hibernation have parallels in non-hibernating systems on molecular and genetic levels is unclear.
We identified the molecular signatures of torpor and arousal episodes during hibernation using a custom-designed microarray for the Arctic ground squirrel (Urocitellus parryii) and compared them with molecular signatures of selected mouse phenotypes. Our results indicate that differential gene expression related to metabolism during hibernation is associated with that during calorie restriction and that the nuclear receptor protein PPARα is potentially crucial for metabolic remodeling in torpor. Sleep-wake cycle-related and temperature response genes follow the same expression changes as during the torpor-arousal cycle. Increased fatty acid metabolism occurs during hibernation but not during ischemia-reperfusion injury in mice and, thus, might contribute to protection against ischemia-reperfusion during hibernation.
In this study, we systematically compared hibernation with alternative phenotypes to reveal novel mechanisms that might be used therapeutically in human pathological conditions.
KeywordsHibernation Microarray Molecular signatures Liver Urocitellus parryii
Hibernation in mammals is a naturally occurring process of profound suppression of metabolic demand and tolerance to hypothermia that enables individuals to fast for 6–8 months. In addition, animals are protected from injury following cycles of hypoperfusion and reperfusion that occur as they cool and rewarm. In an extreme example of hibernation, the Arctic ground squirrel (AGS, Urocitellus parryii, family Sciuridae) decreases its basal metabolism by 98% and body temperature (Tb) to as low as -2.9°C when it enters bouts of torpor, which can last for over 3 weeks . In all small mammalian hibernators, torpor is periodically interrupted by spontaneous arousal episodes when animals raise their metabolism and Tb returns to normal, euthermic levels for no more than 24 h. Animals then re-enter torpor and repeat the torpor-arousal cycle until the end of the 6–8-month hibernation season. Gene transcription  and translation  are dramatically suppressed during torpor, and many additional physiological parameters also greatly decrease and then recover after arousal, e.g. heart rate, respiration, electrical activity, and renal function .
The complex phenotypes in hibernation are examples of extreme physiology that represent limits to adaptive design and are therefore intriguing to biologists. Fundamental questions surrounding hibernation remain largely unanswered; for instance, the relationship between torpor and arousal and wake and sleep. Electroencephalogram (EEG) recordings during entry into torpor suggest that torpor and sleep may be homologous . During deep torpor, however, the EEG is isoelectric, and it has been hypothesized that the associated low brain temperature is incompatible with the restorative function of sleep . EEG recordings in the AGS taken during the arousal cycle have demonstrated that the majority of time at high body temperatures is spent in slow-wave and rapid eye movement sleep, which may represent compensation for the accumulation of sleep debt during torpor . Arousal episodes also restore metabolic homeostasis lost from the plasma during torpor .
The role of circadian rhythms in hibernation is also unclear. Core clock genes including Per1, Per2, and Bmal1 stop oscillating in their expression levels during torpor in European hamsters (Cricetus cricetus L.), which suggests that the circadian clock is arrested during hibernation . Circadian rhythms of body temperature have not been detected during hibernation in either Arctic or European ground squirrels, and arrhythmic patterns of body temperature continue for several weeks after the animals end torpor and resume constant high body temperatures in spring, provided they experience constant darkness [10, 11]. However, very low amplitude cycles of body temperature persist during torpor in the golden-mantled ground squirrel (Callospermophilus lateralis) .
More information about the molecular basis of the phenotypes displayed during mammalian hibernation may lead to the development of novel clinical approaches for the treatment of injuries and disease in humans. For example, the tissues of hibernators experience regular cycles of rapid changes in blood pressure and flow during the torpor-arousal cycle; yet organs such as the liver, brain, heart, and gut do not exhibit the type of damage expected from ischemia-reperfusion in non-hibernating animals, even when hibernators experience long periods of no blood flow, blood loss, or trauma [4, 12–15]. An understanding of the molecular mechanisms of natural resistance to hypoperfusion-reperfusion in hibernators may result in treatments for or the prevention of heart attack, stroke, or perioperative injuries. This approach could be extended to preserve transplant organs, prevent disuse atrophy, or treat sleeping disorders.
Mouse microarray datasets on hibernation-related physiological conditions collected from GEO or ArrayExpress databases
Oligodendrocyte precursor cells
AGS tissue samples were taken from the same animals as in our previous microarray study . Briefly, AGS were trapped during July near Toolik Lake in northern Alaska (68°N 149°W, elevation 809 m) and transported to the University of Alaska, Fairbanks. Animals were initially housed at 20±2°C with a 16:8-h light:dark photoperiod and provided with Mazuri Rodent Chow and water ad libitum. Hibernating animals were previously implanted abdominally with temperature-sensitive radio transmitters and maintained at a 4:20-h photoperiod. Core Tb was monitored for precise stage of torpor and arousal by an automated telemetry system that measures and records core Tb every 10 min . Animals sampled in torpor and arousal episodes were deprived of food for the entire period of hibernation. Animals were collected early in a torpor bout after 10–20% of the duration of the bout (early torpor, between 4–6 days, n = 4). Animals late in a torpor bout were collected after 80–90% of the duration of the previous bout (late torpor, between 8–12 days, n = 5). Animals sampled early after spontaneously arousing from torpor were collected 1–2 h after Tb had increased above 30°C during rewarming (early arousal, n = 4). Animals late in the arousal episode were collected 7–8 h after Tb had increased above 30°C (late arousal, n = 4). Post-reproductive euthermic animals (P, n = 7) that had completed reproductive maturation and regression as assessed by external inspection of gonads and genitalia and had entered molt were used as a non-hibernating control. Torpid animals were euthanized by decapitation without anesthesia. Aroused and post-reproductive animals were deeply anesthetized with isoflurane vapors and decapitated. Animal protocols were approved by the University of Alaska, Fairbanks, Institutional Animal Care and Use Committee.
AGS cDNA libraries construction
We constructed cDNA libraries enriched for full-length inserts by applying the SMART template-switching protocol, primer extension PCR , normalization, and subtraction , as described by Federov et al. . Five AGS cDNA libraries were constructed: 100 - mixed library (brain, liver, heart, brown adipose tissue, and muscle) used for subtracting all other libraries, 101 - heart, 102 - brain, and 103, 104 - liver. 24,371 AGS ESTs (expressed sequence tags) 496 (SD ±133) bases long were sequenced at the University of Alaska, Fairbanks AGS cDNA library project. Equal amounts of mRNA from hibernating and non-hibernating animals were pooled in cDNA libraries to enhance transcript representation.
AGS EST clustering and annotation
We developed a bioinformatics pipeline to cluster and annotate 24,371 AGS ESTs. The 1.90X coverage assembly of the 13-lined ground squirrel (Ictidomys tridecemlineatus) genome (speTri1, Jun 2006) was obtained from Ensembl, including genome sequences and 14,831 gene annotations. The low coverage of the genome may still lead to incomplete gene models and annotations. EST sequences of the golden-mantled (Callospermophilus lateralis; 8,803 sequences) and 13-lined ground squirrels (5,256 sequences) were obtained from NCBI. We aligned the AGS ESTs and those of the other two squirrels to speTri1 with BLASTN, requiring > 50% alignment length and > 95% identity. The sim4 program was used to identify the accurate splice sites on the ESTs. Meanwhile, we aligned the human and mouse RefSeq mRNA sequences to speTri1 using the same method, requiring > 50% alignment length and > 85% identity. The aligned ESTs and RefSeqs were clustered if they shared common splice sites or their alignments overlapped by > 50% of the length of the shorter sequence. The unaligned ESTs were aligned and clustered to each other. To remove the redundancy on EST clusters due to genome duplication or incomplete assembly, two or more EST clusters were merged into one if they shared > 80% of the ESTs in each cluster.
We chose the annotation for each EST cluster in the following order of precedence: speTri1 annotation, human RefSeq, and mouse RefSeq. For EST clusters that were not annotated by the above, all ESTs in the cluster were patched together to obtain an annotation in the NR (non-redundant) database by BLASTX. Overall, 64% of AGS ESTs were reliably aligned to speTri1 and 54% were annotated with known gene symbols. 9,600 cDNA clones were printed on the membrane cDNA arrays.
AGS cDNA microarray hybridization
Total RNA was extracted from tissues with RNeasy Kits (Qiagen) and stored at -80°C, linearly amplified by the Illumina TotalPrep RNA Amplification Kit (Ambion), labeled with [33P]dCTP, and hybridized with array filters as previously described . All RNA samples were processed in the same batch. The filters were exposed to phosphorimager screens for 4 days and scanned at 50 μm resolution in a Storm Phosphorimager. Images were analyzed by the ImaGene program (Biodiscovery).
AGS cDNA microarray analysis
Out of 9,600 probes, 6–8,000 on the cDNA microarray had a signal/background > 2. Only 50–120 probes were undetected. The signals were subtracted from the background, divided by the median, and log2 transformed. Early arousal and late arousal were treated together as arousal (A). Early torpor and late torpor were treated together as torpor (T). In total, A, T, and P contained eight, nine, and seven animal replicates, respectively. Three-state (A, T, P) one-way ANOVA was performed on 9,600 probes. 5,314 unique genes with human symbols were identified after removing redundancy at the probe level according to the minimal ANOVA p-value. False discovery rate (FDR) was evaluated by q-value using a conservative method proposed by Storey and Tibshirani . Differentially expressed genes between each pair of two states were selected by ANOVA models with q-values < 0.05 and Tukey’s honestly significant difference (HSD) test p-values < 0.05. Data analysis was performed in R 2.11.1. Microarray data series were submitted to the National Center for Biotechnology Information Gene Expression Omnibus (NCBI GEO) under the accession number GSE38700.
Mouse microarray analysis
Normalized data from GSE1093, GSE2431, and raw data from the other microarrays were either collected from EBI ArrayExpress repository or NCBI GEO datasets (Table 1). Raw data were normalized by robust multi-array average in the R package affy. The Mouse4302 microarray was annotated by the R package mouse4302. The MG-U74A microarray was annotated by Affymetrix platform GPL81 on NCBI. Mouse gene symbols in annotation were replaced by the gene symbols of human homologues, which facilitated the comparison of AGS and mouse microarrays. According to the experimental design, ANOVA (for PPARα knockout and sleep deprivation) and t-tests (for cold exposure) were performed to obtain differentially expressed genes at the q < 0.05 significance level. Differentially expressed genes in PPARα knockout were also limited by a threshold on log2 fold-change as suggested by Rakhshandehroo et al. . Differentially expressed genes in calorie restriction were determined by a meta-analysis strategy , i.e. requiring consistent changes of gene expression in three out of four experiments. To remove redundancy on multiple probes annotated by the same gene, we kept the probe with the minimum q-value. Data analysis was performed in R 2.11.1.
Comparison of AGS and mouse microarrays
To determine the associations between hibernation and calorie restriction, PPARα knockout, sleep deprivation, and cold exposure, we calculated Pearson’s correlation coefficient (PCC) of log2 fold-changes of differentially expressed genes in both non-hibernating physiological conditions and hibernation. The p-value for testing the null hypothesis (PCC = 0) was calculated based on Pearson's product moment correlation coefficient. To compare ischemia-reperfusion to hibernation, we turned to the patterns of gene expression, assuming that P, T, and A in hibernation are similar to the control (CN), ischemia (IS), and reperfusion (RP), respectively. A mathematical clustering technique, self-organizing map, was applied to cluster the patterns of gene expression with robustness and accuracy . Data analysis was performed in R 2.11.1.
Comparison of AGS microarrays and PPARα and CIRBP target genes
We required the target PPARα genes to be differentially expressed in PPARα knockout and bound by PPARα. The PPARα binding sites were collected from chromatin immunoprecipitation with massively parallel DNA sequencing (ChIP-Seq) . Differentially expressed genes in PPARα knockout  were searched for PPARα bound from 10 kb upstream to 3 kb downstream, relative to the start of transcription, resulting in 614 target genes for PPARα.
We required the CIRBP (cold-inducible RNA-binding protein) target genes to be differentially expressed in CIRBP knockdown and bound by CIRBP clusters . The binding CIRBP clusters were collected from cross-linking and immunoprecipitation-high-throughput sequencing (CLIP-Seq) . Two hundred and one target genes were obtained for CIRBP. Fisher’s exact test was performed to detect the enrichment of target genes in differentially expressed genes during hibernation.
Identification of molecular signatures of hibernation
We analyzed differential gene expression in AGS as a model species for mammalian hibernation. The custom microarray comprised 6,403 annotated AGS genes, among which 5,314 were annotated with human gene symbols. Because the aim of this study was to compare AGS with non-hibernating model animals, we focused on these 5,314 genes in downstream analyses.
Top ranking enriched gene sets in different signature groups during hibernation
Gene set description
# Genes in set
# Overlapping genes
477 genes that were over-expressed during T compared to P
Lipid and lipoprotein metabolism
Fatty acid metabolism
Valine, leucine, and isoleucine degradation
Fatty acid, triacylglycerol, and ketone body metabolism
PPAR signaling pathway
439 genes that were under-expressed during T compared to P
Lipid and lipoprotein metabolism
Drug metabolism - cytochrome P450
Phase II conjugation
301 genes that were over-expressed during A compared to P
Lipid and lipoprotein metabolism
522 genes that were under-expressed during A compared to P
Lipid and lipoprotein metabolism
Phase II conjugation
Steroid hormone biosynthesis
291 genes that were over-expressed during T compared to A
60S ribosomal subunit, cytoplasmic
92 genes that were under-expressed during T compared to A
Comparison of the calorie restriction and hibernation datasets
During hibernation, fasting can last for most of the year; for example, 7–8 months in female Arctic ground squirrels . To examine the relationship between changes in gene expression during hibernation and those during the best available animal model of calorie restriction, we collected calorie restriction (10–40% calories) microarray datasets from mice [GSE1093, GSE2431, and E-MEXP748] [30–32]. This included two short-term (3 or 8 weeks) and two long-term experiments (17 or 24 months). We focused on the 253 calorie restriction affected genes (Additional file 2) that consistently showed significant differential expression in at least three out of four experiments.
Because the AGS fasts during hibernation, calorie restriction affected genes were compared with TP, AP, and hibernation signatures (Table 2). These genes overlapped best with hibernation signatures (PCC = 0.58, p = 0.01). Eighteen genes were both significant in calorie restriction and hibernation signatures (Additional file 3). The over-expression of genes involved in gluconeogenesis (PCK1) and the under-expression of genes in triglyceride biosynthesis (ELOVL6, LPIN2) were observed during both hibernation and calorie restriction. In particular, Lipin 2 (LPIN2), a phosphatidate phosphatase involved in triglyceride metabolism and implicated in adipocyte development was under-expressed . In addition to these metabolic genes, we identified that a transmembrane receptor, growth hormone receptor (GHR), was under-expressed during both hibernation and calorie restriction. GHR expression in the liver decreases after food restriction ; its under-expression may play a regulatory role in slowing down cell growth when energy is conserved.
Comparison of the PPARα knockout and hibernation datasets
PPARα is an important transcription factor regulating fatty acid metabolism . To examine if PPARα is associated with the shift from the metabolism of glucose to fatty acids in hibernation, we analyzed a PPARα knockout microarray dataset [GSE8292] , consisting of wild type mice and PPARα gene knockout mice under two feeding conditions (with and without PPARα agonists). Two-way ANOVA was performed with mouse genotype and feeding condition as factors. Of 21,248 genes, expression levels of 1,587 differed significantly in PPARα knockout (q-value < 0.05, log2 fold-change > 0.5).
Hibernation signatures, TP signatures, and AP signatures compared with calorie restriction and PPARα knockout
TP signatures (916 genes)
AP signatures (823 genes)
Hibernation signatures (508 genes)
Calorie restriction (253 genes)
PPARα knockout (1587 genes)
To further study the regulatory function of PPARα during hibernation, we collected 614 PPARα target genes by combining ChIP-Seq  and differentially expressed genes in PPARα knockout. Out of 916 genes in the TP signatures, 65 were PPARα target genes (Fisher’s exact test p = 0.002, odds ratio = 1.6, Additional file 3).
Comparison of the sleep deprivation and hibernation datasets
We collected a sleep deprivation dataset [GSE9441]  consisting of three strains of mice in two sleep states (sleeping control and sleep deprived for 6 h). Two-way ANOVA was performed with mouse strain and sleep state as factors. Out of 21,248 genes, we identified 1,156 that consistently showed significantly different expression levels during sleep deprivation among the mouse strains (q-value < 0.05).
TP signatures and TA signatures compared with sleep deprivation and cold exposure
TP signatures (916 genes)
TA signatures (383 genes)
Consistent TP-TA (144 genes)
Sleep deprivation (1156 genes)
Cold exposure (1675 genes)
Comparison of the cold exposure and hibernation datasets
To further examine the relationship between temperature response and hibernation, we obtained a mouse cold exposure dataset [GSE20645] , consisting of two groups (n = 4) of mouse oligodendrocyte precursor cells cultured at 31.5°C and 37°C, for 48 h. Although this system is quite different from the AGS liver, the influence of a temperature decrease is the most common feature of the two datasets. We considered 31.5°C cold exposure and 37°C the control. Of 21,248 genes, 1,675 were differentially expressed during cold exposure (q-value < 0.05).
AGS body temperature is much lower during torpor than arousal or post-reproduction. Thus, we compared differentially expressed genes during cold exposure with TP and TA signatures (Table 4). The PCC of log2 fold-changes of overlapping genes in cold exposure was not significant for either TP or TA signatures. However, genes with a consistent change in direction common to both TP and TA signatures were significantly positively correlated with cold exposure (PCC = 0.49, p = 0.03, Table 4). Nineteen genes were significant both in cold exposure and the consistent signatures of TP and TA (Additional file 3). Of them, CIRBP displayed the most significant change. The heat shock protein HSPH1 and the HSPH90 co-chaperone, CHORDC1, both decreased during cold exposure and torpor. Therefore, gene expression changes common to TP and TA signatures are also common to cold-induced gene expression changes and are defined as hypothermia signatures.
Comparison of the circadian and hibernation datasets
CIRBP emerges as one of the most significant genes common to TA signatures and circadian genes that peak during the light phase. CIRBP, also over-expressed during cold exposure and under-expressed during sleep deprivation, is a major cold shock protein in mammals involved in the modulation of transcription and translation . A recent study reported that CIRBP plays an important role in post-transcriptional regulation of the circadian clock . To examine its role in torpor, we collected 201 CIRBP target genes determined by CLIP-Seq and their differential expression upon CIRBP knockdown (q < 0.05) . Hypothermia signatures were enriched within the CIRBP target genes (Fisher’s exact test p = 0.01, odds ratio = 3.5). These target genes include DERL2, FUBP1, NNT, SMAD5, TARDBP, and THRA, consisting mainly of transcription factors and RNA-binding proteins. Notably, TARDBP, under-expressed in both TP and TA signatures, was over-expressed during sleep deprivation and showed a circadian oscillation peak in the dark phase (ZT17).
Comparison of the ischemia-reperfusion and hibernation datasets
We obtained a mouse liver ischemia-reperfusion dataset [GSE10657]  including five states (control, ischemia 30 min, ischemia 60 min, ischemia 90 min, and reperfusion 1 h) in young and old mice. Old mice experienced more severe injuries than young mice. Ischemia 60 min showed the smallest correlation with the control in gene expression. Thus, we chose ischemia 60 min in old mice to represent ischemia (IS), combined with the control (CN) and reperfusion (RP). For comparisons, we considered T, with its conditions of low blood pressure and hypoperfusion, as the counterpart of ischemia, A as the counterpart of reperfusion, and P as the counterpart of the control during hibernation.
Metabolic shifts during hibernation
On the physiological level, similarities between fasting during hibernation and calorie restriction are manifested in several ways, for instance, blood glucose and blood insulin . Fasting mice are prone to lower body temperatures and enter a torpor-like state. Calorie restriction in mice and hibernation in the AGS shared many molecular signatures involved in shifts in metabolic fuel use, e.g. high expression of gluconeogenesis and low expression of fatty acid biosynthesis, together with regulatory changes to suppress cell growth. The results from the PPARα knockout and ChIP-Seq experiments in combination provide further support that PPARα is a key regulator that mediates the switch in metabolism from carbohydrates to fatty acids during torpor.
Sleep-wake and torpor-arousal cycles
In the circadian cycle the Tb of most animals, including mice, oscillates. Tb is high when mice are awake and lower when they are sleeping. During hibernation, core AGS Tb remains close to 0°C for over 3 weeks during torpor and returns to euthermic levels for less than 16 h during arousal episodes. Such similarities have led to the hypothesis that the torpor-arousal cycle is the result of the expression of peripheral clocks, but not the central circadian clock, that persists in a non-temperature compensated manner during hibernation . Our results support this hypothesis based on the expression changes of temperature-responsive genes, e.g. heat shock protein genes and CIRBP. Therefore, these temperature-responsive genes may be components of a non-temperature compensated peripheral clock. Recently, the circadian oscillation of Tb controlled by the SCN was proposed to serve as a global entrainment cue to synchronize peripheral clocks, in which the heat shock pathway was shown to play a critical role [45, 46]. CIRBP modulates circadian gene expression post-transcriptionally . Our analysis suggests that CIRBP directly regulates several other transcription factors and RNA-binding proteins that are potentially important during hibernation. In combination, heat shock proteins and CIRBP may be important links between the torpor-arousal cycle during hibernation and sleep-wake and activity cycles in circadian rhythms.
Ischemia-reperfusion and hibernation
Whether cycles of torpor and arousal and ischemia-reperfusion represent similar physiological conditions is controversial. Blood flow, though vastly reduced, continues during steady-state torpor and meets a reduced metabolic demand. During arousal, however, blood pressure and flow quickly rise with evidence of oxidative stress . We identified a large set of genes with strong low-high-high patterns comparing torpor, arousal, and post-hibernation that occurred during hibernation but was absent in mouse ischemia-reperfusion, in which fatty acid β-oxidation and PPAR signaling associated genes are over-represented. The protective effects of long-chain polyunsaturated fatty acids on ischemia-reperfusion injury have been shown in the rat heart  and liver . Our study implies that the increase in fatty acid metabolism might protect against ischemia-reperfusion injury.
This is the first genome-wide gene expression study to systematically compare stages in the hibernation phenotype with gene expression patterns in calorie restriction, sleep deprivation, cold exposure, circadian cycles, and ischemia-reperfusion in mice. Two important regulators, PPARα and CIRBP, have been examined for their roles in metabolic shift and hypothermia during hibernation. Undoubtedly, hibernation as an integrated and complex phenotype differs from each of the physiological conditions that we compared. There is only limited overlap of molecular signatures between hibernation and the physiological conditions that we examined in mice. Some of the differences we observed may be due to species differences between the AGS and mice. Another major difference between hibernation in the AGS and the conditions in mice is Tb. Transcription and translation are greatly decreased in the near zero AGS Tb during hibernation but not in any of the physiological conditions we examined in mice. The over-expressed mRNA transcripts in torpor may have been elevated prior to entry or re-entry into torpor. These transcripts may be translated into proteins during arousal episodes to fulfill their functions during torpor. Nevertheless, the shared molecular signatures identified in our study will further our understanding of the relationship between hibernation and alternative phenomena in non-hibernating animals and promote its application in human medicine.
Arctic ground squirrel
Expressed sequence tag
Honestly significant difference
False discovery rate
Pearson’s correlation coefficient
Chromatin immunoprecipitation with massively parallel DNA sequencing
Cross-linking and immunoprecipitation-high-throughput sequencing.
We thank Nathan Stewart for help with AGS EST sequencing, and Celia Chang, Louise C. Showe, and Michael K. Showe for cDNA array printing and help with cDNA array hybridizations at System Biology Division, Wistar Institute. We thank the financial support jointly provided by the Chinese Academy of Sciences, the German Max-Planck Society (JY), awards from the NSF (0732763 and 1147232), and the US Army Medical Research and Material Command #05178001 (BMB).
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