Abstract
It has been established that regulation of chromatin structure through post-translational modification of histone proteins, primarily histone H3 phosphorylation and acetylation, is an important early step in the induction of synaptic plasticity and formation of long-term memory. In this study, we investigated the contribution of another histone modification, histone methylation, to memory formation in the adult hippocampus. We found that trimethylation of histone H3 at lysine 4 (H3K4), an active mark for transcription, is upregulated in hippocampus 1 h following contextual fear conditioning. In addition, we found that dimethylation of histone H3 at lysine 9 (H3K9), a molecular mark associated with transcriptional silencing, is increased 1 h after fear conditioning and decreased 24 h after context exposure alone and contextual fear conditioning. Trimethylated H3K4 levels returned to baseline levels at 24 h. We also found that mice deficient in the H3K4-specific histone methyltransferase, Mll, displayed deficits in contextual fear conditioning relative to wild-type animals. This suggests that histone methylation is required for proper long-term consolidation of contextual fear memories. Interestingly, inhibition of histone deacetylases (HDACs) with sodium butyrate (NaB) resulted in increased H3K4 trimethylation and decreased H3K9 dimethylation in hippocampus following contextual fear conditioning. Correspondingly, we found that fear learning triggered increases in H3K4 trimethylation at specific gene promoter regions (Zif268 and bdnf) with altered DNA methylation and MeCP2 DNA binding. Zif268 DNA methylation levels returned to baseline at 24 h. Together, these data demonstrate that histone methylation is actively regulated in the hippocampus and facilitates long-term memory formation.
Introduction
Experience-dependent transcriptional regulation is critical for the stabilization of long-term memory formation. While the role of transcription factors in the regulation of gene expression in memory has been the focus of intense research, an increasing amount of recent data have identified a role for chromatin remodeling in this process. Specifically, post-translational modifications of histones has been shown to be a mechanism for transcriptional regulation during long-term memory formation (Swank and Sweatt, 2001; Guan et al., 2002, 2009; Alarcón et al., 2004; Levenson et al., 2004a; Colvis et al., 2005; Kumar et al., 2005; Levenson and Sweatt, 2005; Chwang et al., 2006; Wood et al., 2006; Bredy et al., 2007; Fischer et al., 2007; Lubin et al., 2008).
The regulation of chromatin structure is complex. This is partly due to the N-terminal tails of histones which are highly accessible for enzymatic transformation and are sites for multiple covalent post-translational modifications, including acetylation, phosphorylation, methylation, ubiquitination, and sumoylation (Peterson and Laniel, 2004; Berger, 2007). Histone modifications such as histone acetylation and phosphorylation facilitate the unraveling of DNA around the histone core resulting in the recruitment of the transcriptional machinery to mediate cell- and promoter-specific gene expression. However, other histone modifications such as histone methylation have different positive or negative effects on gene transcription depending on the amino acid residue modified and the number of methyl groups added (Berger, 2007).
The methylation of lysines can exist in three states: monomethylated, dimethylated, and trimethylated. Generally, transcriptionally silent regions contain dimethylation and trimethylation of histone H3 at lysine9 (H3K9) whereas active genes correlate with dimethylation and trimethylation of histone H3 at lysine4 (H3K4) (Sims et al., 2003; Margueron et al., 2005; Martin and Zhang, 2005; Vermeulen et al., 2007). Specifically, dimethylation of H3K9 correlates with transcriptional silencing, and trimethylation of H3K4 is linked to active transcription (Santos-Rosa et al., 2002; Ng et al., 2003; Schneider et al., 2004). Recently histone methylation has been implicated in the regulation of chromatin structure in the nervous system (Tsankova et al., 2006; Huang and Akbarian, 2007; Huang et al., 2007; Kim et al., 2007). However, to date there have been no reports of histone methylation regulation in the nervous system functioning in the process of long-term memory storage.
Thus in the present study, we sought to investigate histone H3 methylation as an experience-driven mechanism of transcriptional regulation in hippocampus during consolidation of fear-conditioned memories. We found that contextual fear conditioning induced both trimethylation of H3K4 and dimethylation of H3K9 in hippocampus, suggesting active increases in gene expression and gene repression during memory formation. Interestingly, treatment of animals with the histone deacetylase (HDAC) inhibitor sodium butyrate (NaB) elevated trimethylation of H3K4 and decreased dimethylation of H3K9. This suggests that histone acetylation is intricately linked to histone methylation in hippocampus during consolidation of fear-conditioned memories. We also found that heterozygous deletion of a known regulator of histone methylation, Mll, led to significant deficits in memory consolidation. Finally, we found that fear conditioning triggered increases in trimethylation of H3K4 at the Zif268 gene which were associated with altered DNA methylation at this gene promoter. Together, these observations implicate experience-driven alteration of histone methylation in hippocampus as a mechanism contributing to long-term memory formation.
Materials and Methods
Animals.
Young adult, male Sprague Dawley rats (250–300 g) were used for all experiments with the exception of the Mll;eed mutant mice which were created as previously described by Kim et al. (2007). Briefly, the eed-null allele used in this study contained an N-ethyl-N-nitrosourea-induced L290P substitution in the second WD motif (Schumacher et al., 1996) and was maintained on a mixed genetic background largely derived from 101/R1 and C3Hf/R1. The mutant Mll allele used in this study harbors a lacZ insertion in the third exon, resulting in a truncated protein (Yu et al., 1995). The mutant Mll allele was maintained on a mixed background with contributions from C57BL/6J, C3H/HeJ, and FVB/NJ. Experiments encompassed single and double heterozygous animals derived from intercrosses of eed and Mll single mutant mice. Homozygosity for the rd mutation was excluded by PCR. Animals were housed under light/dark 12 h/12 h and allowed access to rodent chow and water ad libitum. Five days before experiments, animals were handled for 3–5 min each and allowed to acclimate to laboratory condition. All procedures were performed with the approval of the University of Alabama at Birmingham Institutional Animal Care and Use Committee and according to national guidelines and policies.
Fear conditioning training paradigm.
Rats were transported to the laboratory at least 30 min before fear conditioning. Fear-conditioned animals were allowed to explore the chamber for 2 min, after which they received a series of three electric shocks (1 s, 0.5 mA) at 2 min intervals. As controls, context-exposed or latent inhibition plus fear-conditioned animals were also placed in the novel training chambers. Context-exposed animals were placed in the novel training chamber for 7 min without receiving the footshock. Latent inhibition plus fear-conditioned animals were pre-exposed to the context for 2 h before the same 7 min training protocol was administered as described for the fear-conditioned animals. In all shocked groups the animals were allowed to explore the novel context (training chamber) for an additional 1 min after the receiving the final footshock before being returned to their home cage. Freezing behavior was recorded using Video Freeze software (Med Associates). Another group of age-matched animals that were handled by the experimenter but did not receive any experimental manipulations were used as naive controls in all experiments.
Behavioral testing in eed × Mll mice.
Exploratory activity, motor function, and sensorimotor processing were performed as described previously (Paylor et al., 2006). Behavioral experiments of eed × Mll investigation used 91 female mice at 8–12 weeks of age (n = 29 eed+/+;Mll+/+, 26 eed+/−;Mll+/+, 18 eed+/+;Mll+/−, and 18 eed+/−;Mll+/−). In the contextual fear paradigm (McIlwain et al., 2001), mice were placed in a chamber and after 2 min the mice received two conditioned stimulus (CS; 80 dB auditory sound, 30 s)–unconditioned stimulus (US; 0.7 mA mild footshock, 2 s) pairings separated by 2 min. Twenty-four hours later, the mice were assayed for freezing behavior to determine associative learning of the footshock with the contextual cues, which constitutes the training environment, and the discretely paired auditory sound. On test day, the amount of freezing during the 3 min pre-CS period was subtracted from the freezing during the 3 min CS presentation.
Isolation of area CA1.
Animals were killed using a rodent guillotine. The brain was immediately immersed in oxygenated (95%/5% O2/CO2) ice-cold cutting saline containing the following (in mm): 110 sucrose, 60 NaCl, 3 KCl, 1.25 NaH2PO4, 28 NaHCO3, 0.5 CaCl2, 7 MgCl2, 5 glucose, 0.6 ascorbate. The whole hippocampus was then removed and area CA1 was dissected away from other hippocampal subfields under a dissecting microscope. Once isolated, area CA1 was frozen on dry ice then stored at –−80°C until processed.
Histone extraction.
Histone extractions were performed as in Lubin et al. (2007). Briefly, all procedures were performed on ice, and all solutions were chilled to 4°C before use unless otherwise indicated. All centrifugation steps were performed at 4°C. Hippocampal tissue was Dounce homogenized in ice-cold homogenization buffer containing the following (in mm): 250 sucrose, 50 Tris, pH 7.5, 25 KCl, 0.5 phenylmethylsulfonyl fluoride, 1% protease inhibitor mixture (Sigma), 0.9 Na+-butyrate using no more than six strokes of a glass pestle (Kontes Glass). Hippocampal tissue homogenates were centrifuged at 7700 ′ g for 1 min and the supernatant (cytoplasmic fraction) was aspirated. The pellet (nuclear fraction) was then resuspended in 0.5 ml of 0.4N H2SO4, incubated for 30 min and centrifuged at 14,000 ′ g for 10 min. The supernatant was transferred to a fresh tube, and proteins were precipitated with the addition of 250 μl of 100% trichloroacetic acid containing 4 mg/ml deoxycholic acid (Na+ salt, Sigma) for 30 min. Acid extracted histone proteins were then collected by centrifugation at 14,000 ′ g for 30 min. The supernatant was discarded, and the protein pellet was washed with 1 ml of acidified acetone (0.1% HCl) followed by 1 ml of acetone for 5 min each. Protein precipitates were collected between washes by centrifugation (14,000 ′ g, 5 min). The resulting purified histone proteins were resuspended in 10 mm Tris (pH 8) and stored at −80°C until processed for Western blotting.
Western blotting.
Protein concentrations for each sample were determined using a DC protein assay (Bio-Rad). Aliquots of sample were then normalized to ∼ 2 μg/μl. Laemmli sample buffer (final concentration: 6.25 mm Tris, pH 6.8, 2% SDS, 10% glycerol, 1.25% 2-mercaptoethanol, 0.1% bromophenol blue] was added to histone samples before performing SDS-PAGE. SDS-PAGE gels consisted of a 12% acrylamide resolving gel overlaid with a 4% acrylamide stacking gel. Histone proteins were transferred to polyvinylidene difluoride (PVDF) membranes for immunoblotting which consisted of incubating PVDF membranes in primary antibodies for 1 h at room temperature or overnight at 4°C followed by incubation with a horseradish peroxidase-conjugated secondary antibody for 2 h at room temperature. Detection of immunolabeled histone proteins was facilitated via electrogenerated chemiluminescence (ECL; GE Healthcare; SuperSignal, Pierce) and exposure to BioMax X-Ray film (Kodak Scientific Imaging Systems) and digitized (Epson Perfection 1240U).
Antibodies.
The primary antibodies used, and their dilutions, were as follows: anti-H3K4me3 (1:1000, Millipore Biotechnology), anti-H3K9me2 (1:1000, Millipore Biotechnology), and anti-H3 (1:1000, Millipore Biotechnology). The host for all primary antibodies was rabbit. The secondary antibodies were horseradish peroxidase-conjugated goat anti-IgG heavy and light chain (Jackson ImmunoResearch).
Chromatin immunoprecipitation assay.
Chromatin immunoprecipitation (ChIP) analysis was performed as previously described by Lubin et al. (2007). Briefly, the CA1 regions of hippocampus were microdissected and held in ice-cold PBS solution containing protease inhibitors [1 mm phenylmethylsulfonyl fluoride, 1 μg/ml of protease inhibitor mixture and phosphatase inhibitors (1 mm Na3VO4 and 20 mm NaF)]. Hippocampal tissue was immediately incubated in 1% formaldehyde in PBS at 37°C for 10 min. Hippocampal tissue was homogenized in SDS lysis buffer (50 mm Tris, pH 8.1, 10 mm EDTA, 1% SDS). Chromatin was sheared using a Branson Sonifier 250 at 1.5 power and constant duty cycle. Lysates were centrifuged to pellet debris and then diluted 1:10 in ChIP dilution buffer (16.7 mm Tris, pH 8.1, 0.01% SDS, 1.1% Triton X-100, 167 mm NaCl, 1.2 mm EDTA). Immunoprecipitations were performed at 4°C overnight with primary antibodies (anti-H3K4me3 or MeCP2) or no antibody (control). Immune complexes were collected with an protein A–agarose bead/salmon sperm slurry and sequentially washed with low-salt buffer (20 mm Tris, pH 8.0, 0.1% SDS, 1% Triton X-100, 2 mm EDTA, 150 mm NaCl), high-salt buffer (20 mm Tris, pH 8.1, 0.1% SDS, 1% Triton X-100, 500 mm NaCl, 1 mm EDTA), LiCl immune complex buffer (0.25 m LiCl, 10 mm Tris, pH 8.1, 1% deoxycholic acid, 1% IGEPAL-CA630, 500 mm NaCl, 2 mm EDTA), and TE buffer. Immune complexes were extracted in 1′ TE containing 1% SDS, and protein-DNA cross-links were reverted by heating at 65°C overnight. After proteinase K digestion (100 μg; 2 h at 37°C), DNA was extracted by phenol/chloroform/isoamyl alcohol and then ethanol precipitated. Immunoprecipitated DNA was subjected to quantitative real-time PCR using primers using primers specific for 150–200 bp segments corresponding to promoters upstream of the rat Bdnf or Zif268: Bdnf promoter 1 sense, 5′-TGAGAAGTTGTGGGACCGCATA-3′; antisense, 5′-CGTCCTCTTCCCTTGGCTTTTT-3′; Bdnf promoter 4 sense, 5′-GTGGAGGAGAGGTGCCTTTTGA-3′; antisense, 5′-GTCCTCTGGGGACCATTTACCC-3′; Zif268 (ChIP 1) sense, 5′-ATGGGCTGTTAGGGACAGTG-3′; antisense, 5′-TTGGGGATTTAGCTCAGTGG-3′; Zif268 (ChIP 2) sense, 5′-CTCCCTCACTGCGTCTAAGG-3′; antisense, 5′-CCTAAAGAGGGGGACTTTGC-3′. The cumulative fluorescence for each amplicon was normalized to input amplification.
Methylation-specific real-time PCR analysis.
DNA was isolated from hippocampal tissue, purified and processed for bisulfite modification. For all our methylation-specific real-time PCR (MSP) data, we performed bisulfite treatment of genomic DNA an average of 5–6 times. Bisulfite treatment of genomic DNA converts cytosine to uracil, but leaves methylated 5′cytosines unchanged. Quantitative real-time PCR was used to determine the DNA methylation status of the bdnf gene. Methylation-specific PCR primers were designed using Methprimer software (http://www.urogene.org/methprimer/) (Li and Dahiya, 2002). Methylation and unmethylated-specific PCR primers were designed to target putative CpG islands detected in silico in promoter or nonpromoter regions of the Zif268 gene. Detection of CpG islands (ł200 bp) within Zif268 DNA was performed with the following primer sets. For CpG island region 1; methylated Zif268 sense, 5′-ATTGCGGGGAAGGTTTAGGTC-3′; antisense, 5′-TATATTCCGAAAACCCCAAACG-3′; unmethylated Zif268 sense, 5′-ATTGTGGGGAAGGTTTAGGTTG-3′; antisense, 5′-ATATTCCAAAAACCCCAAACAC-3′. For CpG island 2; methylated Zif268 sense, 5′-TTTAGGATGACGGTTGTAGAATTTC-3′; antisense, 5′-GCGTAAAACTAAACGCTCCG-3′; unmethylated Zif268 sense, 5′-GGATGATGGTTGTAGAATTTTGG-3′; antisense, 5′-CAAACACATAAAACTAAACACTCCA-3′. We also evaluated β-tubulin-4 DNA after context exposure or contextual fear conditioning and found no significant alterations in unmethylated β-tubulin-4 DNA. Thus, we used unmethylated β-tubulin-4 levels for normalization of Zif268 DNA methylation in the studies presented here. β-Tubulin-4 sense, 5′-GGAGAGTAATATGAATGATTTGGTG-3′; antisense, 5′-CATCTCAACTTTCCCTAACCTACTTAA-3′. PCRs were in a iQ5 real-time PCR system (Bio-Rad) using the following cycling conditions: 95°C for 3 min, 40 cycles of 95°C for 15 s and 58–60°C for 1 min. Detection of the fluorescent products occurred at the end of the 15 s temperature step. Samples were normalized to β-tubulin-4 and the comparative Ct method was used to calculate differences in gene expression between samples (Livak and Schmittgen, 2001).
Bisulfite DNA sequencing PCR.
Bisulfite-treated samples (as described above) were amplified by primers that amplify the same region of bdnf exon IV DNA, but independent of methylation status. The thermocycler protocol involved an initial denaturation cycle (5 min, 95°C), 50 cycles of denaturation (1 min, 95°C), annealing (1 min, 60°C), and extension (1 min, 72°C), followed by a final extension cycle (5 min, 72°C) terminating at 4°C resulting in a 258 bp PCR product for exon IV. Bisulfite DNA sequencing PCR (BSP) primer pairs used for the assessment of Zif268 cytosine residues within CpG island region 1 were as follows; Zif2568 sense, 5′-TTGTGAAGGAAGTGTTATTTTG-3′; antisense, 5′-CCAATCTAATAACCCCAAACTT-3′. The BSP products were then purified using a gel extraction kit (Qiagen), and sequenced using the reverse primer at the University of Alabama at Birmingham Genomics Core Facility of the Heflin Center for Human Genetics (http://www.heflingenetics.uab.edu). The percentage methylation of each CpG site within the region amplified was determined by the ratio between peaks values of G and A (G/[G+A]), and these levels on the electropherogram were determined using Chromas software.
Statistical analysis.
Behavioral data were analyzed with two-tailed unpaired t tests. Post hoc comparisons after one-way ANOVA were made using Tukey post hoc test where appropriate. Data for Mll;eed mutant mice were analyzed using individual one-way ANOVA with LSD post hoc and simple-effects tests where appropriate for the context test and the CS test. Follow-up comparisons were made using least significance difference test. SPSS 10.0 software was used for statistical analysis of the data. All Western blots were quantified by densitometry (Scion) and GraphPad Prism software was used for statistical analysis of the data. For studies involving the assessment of histone or DNA methylation and mRNA levels were analyzed by two-tailed one-sample t tests when appropriate. Differences in BSP data were analyzed by two-way ANOVA with Bonferroni's post hoc test. Data are shown as the mean ± SEM. Significance for all tests was set at p £ 0.05.
Results
Regulation of histone H3 methylation in hippocampus during associative and episodic memory formation
To begin exploring the potential role for histone methylation in memory formation we investigated whether contextual fear conditioning as an associative learning event triggers altered histone methylation within the hippocampus. For behavioral studies animals were fear conditioned in a novel context (training chamber) with a training protocol consisting of three 1 s, 0.5 mA shocks at 2 min shock intervals (Fig. 1A). As a control for our biochemical studies, we first confirmed that the context-plus-shock pairing produced an associative memory. As expected, 24 h after fear conditioning, re-exposing the animals to the training chamber without the footshock triggered recall of the associative memory, as measured by freezing behavior (Fig. 1B). As an additional control, novel context exposure alone produced no significant freezing when the animals were replaced in the training chamber (Fig. 1B).
To evaluate whether histone methylation was altered in response to contextual learning, histone extracts were prepared from area CA1 of hippocampus 1 h after training (Fig. 1A). Thus, we evaluated histone H3 methylation at lysine 4 (K4) as an active marker of transcription and observed a significant increase in trimethylated H3K4 levels in the hippocampus 1 h after contextual fear conditioning compared with naive controls (Fig. 1C). No changes in trimethylated H3K4 levels were observed with context exposure alone (Fig. 1C). These results suggest that H3K4 trimethylation is regulated in hippocampus after associative fear conditioning training and are consistent with prior observations that active transcription occurs during consolidation of associative contextual memories. These observations also implicate histone methylation as a potential positive regulator of gene transcription in memory consolidation.
We also examined whether or not contextual fear conditioning alters methylation of histone H3 at lysine9 (K9), a repressive marker of transcription, in area CA1 of the hippocampus. Western blotting analysis revealed that 1 h after contextual fear conditioning H3K9 dimethylation significantly increased in area CA1 of the hippocampus (Fig. 1D). Interestingly, context exposure alone produced similar increases in dimethylated H3K9 levels in area CA1 of hippocampus relative to naive control animals (Fig. 1D). These findings suggest that H3K9 dimethylation is triggered in hippocampus with both novel context learning and associative contextual learning of fear. Together, these results are consistent with the idea that histone-methylation-dependent active repression of transcription plays a role in the consolidation of contextual memories. It is interesting that context exposure alone triggered only the transcription-suppressing H3K9 dimethylation mark and not the transcription-activating H3K4 mark (see above), implying that the H3K4 mark may be an associative-learning-specific signal.
Next, we determined whether regulation of hippocampal histone H3 methylation triggered with learning about the context or with associative contextual fear conditioning is a dynamic process. To address this, area CA1 of hippocampus was removed from animals 24 h after training and Western blotting performed for histone H3 methylation that serve as activation (H3K4) or repressor (H3K9) markers of gene transcription (Fig. 2A). All groups were compared with naive-handled animals that were not exposed to the training chamber. Twenty-four hours after training (without replacing animals into the training context) Western blotting analysis revealed no changes in H3K4 trimethylation in hippocampus after fear conditioning (Fig. 2B). In addition, levels of trimethylated H3K4 were unchanged 24 h after context exposure alone when compared with naive animal controls (Fig. 2B). These results suggest that trimethylation of H3K4 is reversible, allowing the H3K4 trimethylation state necessary for memory consolidation to return to basal levels after transient activation. Furthermore, these findings support the idea that a histone demethylase does exist for active demethylation of trimethylated H3K4 induced in hippocampus after associative fear conditioning training.
Having established that the increase in H3K4 trimethylation with fear conditioning was reversible, we then sought to determine whether or not the effect of contextual fear conditioning on H3K9 dimethylation was also plastic. Surprisingly, we found that H3K9 dimethylation significantly decreased 24 h after fear conditioning compared with naive controls (Fig. 2C). We also observed a decrease in H3K9 dimethylation 24 h after exposure to context alone compared with naive animal controls (Fig. 2C). These results indicate that learning about the context or fear conditioning to the context has effects on H3K9 dimethylation in hippocampus that persist at least 24 h. These findings are the first evidence to indicate a persistent change in a hippocampal histone modification following learning, lasting well beyond the 2–4 h memory consolidation phase.
The results obtained thus far suggest that H3K4 trimethylation is induced by formation of an associative long-term memory wherein an animal associates a novel context with a footshock. However, it is also possible that the regulation of hippocampal H3K4 trimethylation was due to a stress response to the footshock alone in the absence of associative memory formation. Therefore, a latent inhibition training paradigm was used to determine whether this event contributed to the regulation of H3K4 trimethylation in hippocampus after fear conditioning.
The latent inhibition training protocol consists of pre-exposing the animal to a novel context (training chamber) for a long period of time before administering the unconditioned stimulus (footshock). This form of contextual learning is unique in that the animal does not form a strong association between the unconditioned stimulus and the novel context, making the actual latent inhibition training paradigm context-specific (Lubow and Josman, 1993; Atkins et al., 1998). Therefore, during a latent inhibition contextual learning the animal forms a spatial memory that attenuates the formation of an associative contextual fear memory. Nevertheless, in this protocol the animal still receives the identical footshock used for associative fear conditioning training.
Animals were placed into the novel training context (training chamber) 2 h before receiving the three-shock context fear conditioning training (Fig. 3A). The animals were then returned to their home cages. Twenty-four hours later, the animals were re-exposed to the training chamber with no footshock (test). Latent inhibition fear conditioning inhibited the associative contextual fear memory as assessed by freezing behavior (Fig. 3B). We also found that the increase in hippocampal H3K4 trimethylation normally observed 1 h after fear conditioning was blocked with the latent inhibition paradigm compared with naive controls (Fig. 3C). These results suggest that the regulation of H3K4 trimethylation after training was selective for the formation of robust associative contextual fear memories.
Mll (H3K4-specific methyltransferase) mutant mice have a deficit in long-term contextual fear memory
A number of enzymes for methylating or demethylating histones have recently been discovered (summarized in Allis et al., 2007). While few pharmacological agents are currently known to specifically affect these enzymes, genetic knock-out of these chromatin-modifying enzymes or their complexing partners allows us to further elucidate their specific role in learning and memory. Recently, Kim and colleagues reported altered patterns of histone methylation in eed+/−;Mll+/− mice (Kim et al., 2007). Eed interacts directly with the histone-lysine methyltransferase Ezh2 to target H3K27 or H1K26 (Kuzmichev et al., 2004) and interacts with HDAC 1 and 2 (van der Vlag and Otte, 1999). Mll also interacts with HDAC 1 and 2 (Xia et al., 2003) and acts as an H3K4-specific methyltransferase (Milne et al., 2002).
To further assess the role of regulation of histone methylation in the process of memory consolidation, we assessed fear memory in eed and Mll and single and double mutant mice (Paylor et al., 1994; McIlwain et al., 2001; Kim et al., 2007) comparing their behavior to wild-type littermate control animals using an associative contextual fear paradigm. We found significant differences between genotypes during the context behavior test (Fig. 3D). In these comparisons we found that eed+/+;Mll+/− and eed+/−;Mll+/− animals displayed significantly reduced freezing compared with wild-type littermates (all comparisons p < 0.015). The effect on freezing behavior is stronger in heterozygote Mll mice compared with heterozygote eed mice. This is consistent with the idea that Mll is a H3K4-specific methyltransferase whereas Eed is a general component of the methyltransferase complex. Together, these results suggest in-part that the H3K4-specific methyltransferase, Mll, is essential for hippocampal-dependent long-term memory formation. Additionally, we assessed cued fear conditioning in eed+/−;Mll+/+, eed+/+;Mll+/−, and in eed+/−;Mll+/− mice and found no statistically significant differences in freezing behavior among genotypes (F(3,63) = 0.664, p = 0.57) (supplemental Fig. 1H, available at www.jneurosci.org as supplemental material). Thus, eed and Mll are important for hippocampus-mediated learning and memory. Together, these findings indicate regulation of hippocampal histone methylation as a molecular mechanism underlying proper memory formation.
As additional behavioral controls, exploratory activity, motor function, and sensorimotor processing were assayed in eed and Mll mutant mice. While eed single heterozygous mice exhibited largely normal behavioral responses, Mll single heterozygotes as well as double heterozygotes exhibited defects in some tests of motor function (supplemental Fig. 1F, available at www.jneurosci.org as supplemental material). In contrast, exploratory activity, anxiety-related responses, acoustic startle, and prepulse inhibition were normal (supplemental Fig. 1, available at www.jneurosci.org as supplemental material).
Inhibition of histone deacetylases enhances histone methylation in hippocampus
Recent studies have revealed that the methylation state of histone H3 is directly linked to the hyperacetylated state of the histone H3 N-terminal tail in vitro (Zhang et al., 2004). In these studies, Zhang and colleagues report a synchronous relationship between hyperacetylated histone H3 at lysine-9 and hypermethylated histone H3 at lysine-4. Thus, we hypothesized that enhancing histone acetylation via HDAC inhibition might result in an enhancement in histone methylation as well.
To this end, we investigated whether treatment with the HDAC inhibitor sodium butyrate (NaB) might enhance the methylated state of histones in hippocampus during memory formation (Fig. 4A). We first confirmed the reported effect of HDAC inhibition on long-term memory formation. We found that 24 h after the training period, NaB-treated animals displayed significantly more freezing behavior than vehicle-treated controls (Fig. 4B). These results are in agreement with previous reports of the effect of HDAC inhibition on long-term memory formation (Levenson et al., 2004a; Fischer et al., 2007; Lubin and Sweatt, 2007; Guan et al., 2009). We then assayed histone H3 methylation in area CA1 of hippocampus 1 h after training and found that both NaB- and vehicle-treated animals exposed to the fear conditioning paradigm displayed increased H3K4 trimethylation relative to naive animal controls (Fig. 4C). However, there was no significant difference in H3K4 trimethylation from NaB-treated animals relative to that of vehicle-treated controls.
We next examined the effect of enhancing histone acetylation on H3K9 dimethylation in hippocampus following fear conditioning. We found that NaB treatment significantly decreased H3K9 dimethylation in hippocampus relative to vehicle-treated animals (Fig. 4D). These results suggest that elevating histone acetylation via HDAC inhibition leads to suppression of the negative regulator of transcription H3K9 dimethylation. This surprising result suggests that one mechanism whereby HDAC inhibition might enhance memory formation is through secondary suppression of histone H3K9 dimethylation. Regardless of this specific possibility, the result suggests a dynamic cross talk between histone acetylation and histone methylation in hippocampus.
Altered histone H3 trimethylation at specific gene promoters after contextual fear conditioning
To further support a role for histone methylation during memory formation, we determined whether fear conditioning triggers changes in chromatin structure directly at the level of individual genes. The Zif268 and bdnf genes are critical for the consolidation of several forms of memories including hippocampus-dependent memory formation (Bramham, 2007; Poirier et al., 2007). Thus, we investigated hippocampal trimethylated H3K4 levels at the Zif268 and bdnf gene promoters 30 min after training, a time point known to be associated with transcriptional activation of these gene loci. Using ChIP assay combined with quantitative real-time PCR, we found that H3K4 trimethylation increased at the Zif268 promoter after fear conditioning (Fig. 5A,B). We also found that H3K4 trimethylation significantly increased at bdnf promoter 1, but not at promoter 4, in area CA1 of hippocampus after fear conditioning, relative to naive controls (Fig. 5C). Context exposure alone produced no significant changes in H3K4 trimethylation at the Zif268 or bdnf promoters relative to naive animal controls (Fig. 5A–C). The selective increase in histone trimethylation at the Zif268 promoter and bdnf promoter 1 is in good agreement with fear-conditioning-associated increased transcription of the Zif268 and bdnf genes (Lubin et al., 2008; Alberini, 2009). Together, these results demonstrate active regulation of H3K4 trimethylation within specific gene promoters, and further demonstrate that H3K4 trimethylation is regulated in response to fear conditioning.
Changes in DNA methylation are associated with altered histone methylation after fear conditioning
There is evidence that H3K9 dimethylation represses gene expression via recruitment of DNA methyltransferase enzymes, which mediate methylation of CpG dinucleotides that then recruit repressive chromatin remodeling complexes (Fuks, 2005). In contrast to H3K9 dimethylation, H3K4 trimethylation mediates active transcription and shows a strong correlation with activated RNA polymerase II and histone acetylation levels at gene promoters (Rice and Futscher, 2000; Nakayama et al., 2001; Rice and Allis, 2001; Li and Zhang, 2004; Zhang et al., 2004; Ruthenburg et al., 2007). Thus, given our finding that H3K4 trimethylation is increased after fear conditioning, we next determined whether or not DNA methylation was altered during memory consolidation in a manner that was indicative of an active promoter. Consistent with this idea, we previously have reported that bdnf promoter 1 shows decreased cytosine (DNA) methylation with contextual fear conditioning (Lubin et al., 2008). These previous findings are in good agreement with the idea that H3K4 trimethylation levels at bdnf promoter 1 (Fig. 5C) correlates with DNA demethylation during fear conditioning. However, we also previously observed that fear conditioning is associated with decreased DNA methylation at bdnf exon 4 at 2 h post-training (Lubin et al., 2008), but this site did not manifest increased histone methylation (at 30 min post-training) in the current studies (Fig. 5C). Thus, the available evidence does not allow us to ascertain whether H3K4 trimethylation is universally correlated with DNA demethylation in the adult CNS.
Therefore in the present studies, we performed additional experiments and examined the DNA methylation state of the Zif268 promoter because increases in H3K4 trimethylation levels in hippocampus were robust at this promoter region in response to associative contextual fear conditioning (Fig. 5B). Furthermore, unlike bdnf DNA methylation (Lubin et al., 2008), the methylation state of the Zif268 gene has not been previously characterized in hippocampus during memory formation.
We first screened the Zif268 promoter region for CpG islands, which are defined as stretches of DNA (ł200 bp) in which there are a large number of cytosine-guanine dinucleotide sequences linked by phosphodiester bonds (for review, see Goldberg et al., 2007). Using Methprimer software (http://www.urogene.org/methprimer/) (Li and Dahiya, 2002) two CpG island sites were found within the promoter region of the Zif268 gene immediately preceding the transcriptional start site (Fig. 6A). We first used MSP to screen DNA methylation changes at each CpG island site 30 min following fear conditioning. Our MSP results demonstrated that fear conditioning triggered changes in DNA methylation at CpG island region 1, but not region 2, in hippocampus (data not shown).
Next, we used direct BSP to examine site-specific methylation changes at 20 CpG dinucleotides within Zif268 CpG island region 1 (Fig. 6A). The results show that fear conditioning elicited an increase in methylated DNA levels across the region relative to context exposure alone or naive animal controls (Fig. 6B). However, Zif268 mRNA levels 30 min after training were significantly increased in hippocampus in response to fear conditioning (Fig. 6C). Thus, these results suggest that increased H3K4 trimethylation levels at the Zif268 promoter is associated with increases in DNA methylation resulting in active transcription of the Zif268 gene after fear conditioning. Overall these data support the idea that H3K4 trimethylation can be associated with either increased DNA methylation (Zif268), or decreased DNA methylation (bdnf) at genes that are transcriptionally activated in memory consolidation.
Next, we sought to determine the effect of contextual fear conditioning on Zif268 DNA methylation 24 h later. We found that Zif268 DNA methylation and mRNA levels returned to baseline 24 h after fear conditioning compared with naive controls (Fig. 7A–C). This suggests that the effect of contextual fear conditioning on Zif268 DNA methylation was also transient. Interestingly, we also observed an increase in Zif268 DNA methylation 24 h after exposure to context alone compared with naive animal controls (Fig. 7A), which corresponds with a decrease in Zif268 gene expression 24 h after context exposure alone (Fig. 7B). These data support the idea that altered DNA methylation can be associated with either increased Zif268 gene expression 30 min after fear memory consolidation or decreased Zif268 gene expression 24 h after context exposure.
Although the findings of increased DNA methylation associated with increase Zif268 gene transcription with contextual fear conditioning were surprising, they are consistent with previous results by Chahrour et al. (2008) suggesting that methyl-binding proteins such as methyl-CpG binding protein 2 (MeCP2) can activate as well as repress gene transcription, specifically suggesting that MeCP2 associates with the transcriptional activator CREB1 at methylated promoter regions of activated gene target. Thus, we sought to determine whether or not the effect of contextual fear conditioning on Zif268 DNA methylation was associated with altered MeCP2 levels at the gene promoter. We found that MeCP2 significantly decreased at the Zif268 promoter region associated with increased H3K4 trimethylation 30 min after fear conditioning or context exposure compared with naive controls (Fig. 8A) (ChIP1). These results indicate that learning about the context or fear conditioning to the context has effects on the recruitment of MeCP2 levels at the Zif268 promoter in hippocampus. We also observed an increase in MeCP2 at the Zif268 promoter region associated with increased DNA methylation 30 min after fear conditioning, but not after exposure to context alone, compared with naive animal controls (Fig. 8B) (ChIP2). Thus, Zif268 mRNA levels 30 min after training were significantly increased in hippocampus in response to fear conditioning (Fig. 6C). Together, these findings are consistent with the idea that increases in DNA methylation can represent an active signal for gene transcription.
Discussion
In the studies presented here, we investigated the potential role of histone lysine methylation in memory formation and established several findings. First, we found that fear conditioning triggers changes in H3K4 trimethylation (a transcriptional active marker) and H3K9 dimethylation (a transcriptional repressive marker) in area CA1 of the hippocampus. Second, we observed that H3K4-specific methyltransferase (Mll)-deficient mice have a deficit in long-term memory formation. Third, treatment of animals with the HDAC inhibitor NaB altered histone methylation levels in hippocampus during memory consolidation, suggesting that altered histone methylation is coupled to HDAC inhibition. Finally, H3K4 trimethylation significantly increased at the promoter of two activated gene targets (Zif268 and bdnf) during memory consolidation. Together, these findings support the role of histone methylation changes in the consolidation of long-term memory formation.
Covalent post-translational modifications of histones serve as an important mechanism for transcriptional regulation during consolidation of long-term memories. For example, increases in histone H3 phosphorylation and acetylation in hippocampus have been shown to be regulated during long-term memory formation (Levenson et al., 2004a; Chwang et al., 2006; Fischer et al., 2007). Additionally, regulation of histone modifications including histone methylation have been implicated in mental disorders including schizophrenia (Deutsch et al., 2008; Akbarian and Huang, 2009). However, investigation of the role of histone methylation in the process of long-term memory formation had not been explored before the current studies. Encouragingly, studies on abnormal gene expression in postmortem brain have revealed that histone methylation may be a viable avenue for early detection for some cases of schizophrenia (Akbarian and Huang, 2009). Therefore, the study of histone methylation in the regulation of memory formation is intriguing and will provide further insights into the epigenetic mechanisms that may be dysregulated in cognitive impairments.
We investigated the contribution of hippocampal histone methylation in the consolidation of long-term memory in a rodent model of fear conditioning. We were particularly interested in studying this form of histone modification because it is unique in that various specific sites of methylation of histones can have opposite roles in gene regulation; that is, methylation of H3K4 is associated with active transcription whereas methylation of H3K9 is associated with transcriptional silencing (Strahl et al., 1999; Lachner and Jenuwein, 2002; Schotta et al., 2002). Indeed, the process of storing stable long-term memories is likely to involve coordinated changes in both transcriptional activation and silencing of genes (Ressler et al., 2002; Levenson et al., 2004b). Now with the results presented here, we provide the first evidence for histone methylation changes in hippocampus in response to contextual learning, in both episodic learning and associative contextual fear conditioning. Furthermore, these results support the hypothesis that histone methylation plays a role in the regulation of gene expression changes that are permissive for memory formation.
One fascinating finding from our studies is that HDAC inhibition significantly altered histone methylation levels. Specifically, treatment with the nonselective class I HDAC inhibitor NaB significantly attenuated H3K9 dimethylation in hippocampus after fear conditioning. This suggests the new idea that a possible mechanism for the permissive actions of inhibiting HDACs, resulting in memory enhancement, is through the negative regulation of hippocampal H3K9 dimethylation. However, the specific HDAC isoform(s) inhibited by the HDAC inhibitor NaB to mediate this effect on H3K9 dimethylation is unknown and remains an intriguing focus of ongoing studies. Promisingly, the HDAC2 isoform has recently been identified as a modulator of dendritic spine density, synapse number, and synaptic plasticity which negatively regulates memory formation (Guan et al., 2009). Although very speculative at this point, an intriguing hypothesis is that inhibition of HDAC2 negatively regulates H3K9 dimethylation to allow memory enhancement. Whether this scenario is true or not, our present study is consistent with the idea that inhibition of HDAC isoforms promotes active gene transcription for stable formation of enhanced long-term memories.
Another remarkable finding from these studies is that changes in H3K4 trimethylation were associated with increased DNA methylation at the Zif268 promoter region, while Zif268 gene expression was active during memory consolidation. In addition, these changes in Zif268 DNA methylation were transient returning to baseline levels 24 h later long after the consolidation period. These observations are in sharp contrast to findings from developmental studies that suggest that DNA methylation is primarily associated with the repression of gene transcription. However, a recent study by Chahrour et al. (2008) indicates that methyl-CpG binding proteins, such as MeCP2, bind to DNA methylation sites with the transcriptional activator cyclic adenosine monophosphate (cAMP) response element binding (CREB) protein 1 to actively regulate gene transcription. Indeed, our results suggest that MeCP2 levels increased at the Zif268 promoter region in association with increased DNA methylation resulting in transcriptional activation of the Zif268 gene following fear conditioning. Correspondingly, we found a cAMP response element (CRE; TCACGTCA) binding site for the transcription factor CREB downstream of the CpG island 1 region and upstream from the transcriptional start site of the Zif268 gene (Fig. 8C). Thus, based on previous studies by Chahrour et al. (2008) and our present data, we propose that dynamic changes in DNA methylation may serve as both a repressive or active marker of transcription in hippocampus during long-term memory formation. This new concept raises several intriguing possibilities for future research. For example, in our study we demonstrated that contextual learning induces global changes in histone methylation as well as altered DNA methylation. However, it remains to be determined what specific cell types are involved in these observed epigenetic mechanisms.
In summary, our results continue to support a role for epigenetic mechanisms in the process of stable formation of long-term memories. Specifically, our findings demonstrate considerable histone methylation changes in hippocampus in association with memory formation and furthermore suggest that this process is necessary for long-term memory formation. In addition our results provide the first evidence for an association between differential histone methylation and DNA methylation regulation at the Zif268 gene promoter in the adult brain and implicate a possible role for these processes in the formation of long-term memories. Finally, as epigenetic mechanisms continue to be linked to cognitive dysfunctions a better understanding of the complex molecular interaction and regulation of these processes will need to be further refined.
The importance of continued investigation of such mechanisms is underscored by several prior studies. For example, similar to DNA methylation, histone methylation was once considered to be a nonplastic process. The concept of the irreversibility of histone methylation arose from the belief that histone demethylases did not exist. However, this view has recently been challenged with the identification of several histone H3 demethylases including LSD1 and JHDM1 (Shi et al., 2004; Tsukada et al., 2006; Whetstine et al., 2006; Tahiliani et al., 2007) which can specifically demethylate lysine-4 within histone H3. Thus, the discovery of these enzymes may lead to more selective therapeutic interventions that include the use of histone demethylase activators or inhibitors as well as HDAC inhibitors for treatment of cognitive impairments associated with neurological disorders.
Footnotes
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This work was supported by the National Institutes of Health (NS048811, MH082106, MH57014, NS37444, NS013546, AG031722, and NS057098), the Federation of American Societies for Experimental Biology, the National Alliance for Research on Schizophrenia and Depression, the Rotary Clubs Coins for Alzheimer's Research Trust Fund, and the Evelyn F. McKnight Brain Research Foundation. We thank members of the Lubin laboratory for their thoughtful comments, Dr. M. Han and the University of Alabama at Birmingham Genomics Core Facility for assistance in DNA sequencing, and Dr. A. Schumacher for providing the eed;Mll mutant mice.
- Correspondence should be addressed to Dr. Farah D. Lubin, Department of Neurobiology, University of Alabama at Birmingham, 1825 University Boulevard, Birmingham, AL 35294. flubin{at}nrc.uab.edu