Chunxia Li1, Men Su1, Huimin Wang1, Yinghe Hu2. 1. Key Lab of Brain Functional Genomics, MOE&STCSM, Institute of Cognitive Neuroscience, East China Normal University, Shanghai 200062, China. 2. Key Lab of Brain Functional Genomics, MOE&STCSM, Institute of Cognitive Neuroscience, East China Normal University, Shanghai 200062, China ; Shanghai Engineering Research Center for Molecular Therapeutics and New Drug Development, East China Normal University, Shanghai 200062, China.
Abstract
NR2B subunits are involved in regulating aging, in particular, age-related learning and memory deficits. We examined 19-month-old NR2B transgenic mice and their littermate controls. First, we detected expression of the NR2B subunit gene, Grin2b, in the neocortex of transgenic mice using real-time PCR. Next, we used microarrays to examine differences in neocortical gene expression. Pathway and signal-net analyses identified multiple pathways altered in the transgenic mice, including the P53, Jak-STAT, Wnt, and Notch pathways, as well as regulation of the actin cytoskeleton and neuroactive ligand-receptor interactions. Further signal-net analysis highlighted the P53 and insulin-like growth factor pathways as key regulatory pathways. Our results provide new insight into understanding the molecular mechanisms of NR2B regulated age-related memory storage, normal organismal aging and age-related disease.
NR2B subunits are involved in regulating aging, in particular, age-related learning and memory deficits. We examined 19-month-old NR2Btransgenic mice and their littermate controls. First, we detected expression of the NR2B subunit gene, Grin2b, in the neocortex of transgenic mice using real-time PCR. Next, we used microarrays to examine differences in neocortical gene expression. Pathway and signal-net analyses identified multiple pathways altered in the transgenic mice, including the P53, Jak-STAT, Wnt, and Notch pathways, as well as regulation of the actin cytoskeleton and neuroactive ligand-receptor interactions. Further signal-net analysis highlighted the P53 and insulin-like growth factor pathways as key regulatory pathways. Our results provide new insight into understanding the molecular mechanisms of NR2B regulated age-related memory storage, normal organismal aging and age-related disease.
Aging has long been known to have detrimental effects upon nervous system function, and many brain functional processes including synaptic plasticity, long-term potentiation (LTP), learning and memory are altered by aging. The forebrain areas vulnerable to aging include the cortex and hippocampus.The N-methyl-D-aspartic acid (NMDA) receptor is a heteromer consisting of NR1 and at least one of either NR2 or NR3 subunits[12]. Early in postnatal development, the NR2B subunit is predominant, but as the postnatal brain develops into an adult brain, the NR2B:NR2A ratio gradually decreases[34], leading to a gradual decrease in NMDA current duration and an increase in the synaptic plasticity induction threshold[56]. NMDA receptor dysfunction in the brain of aged animals has been shown[78], with age-related reductions in NMDA receptor subunit expression found in multiple brain areas[89]. This reduction is reversed in the forebrain of NR2Btransgenic (Tg) mice[5]. In Tg mice, NR2B is overexpressed mainly in the forebrain, resulting in enhanced synaptic plasticity and improved learning and memory function in young adult mice[510]. Interestingly, in rats, forebrain NR2B overexpression also causes memory function enhancement[6], suggesting NR2B gene function in memory formation is universal.It is important that NR2B-containing NMDA receptor not only plays a pivotal in various memory processes, but it is also involved in regulating aging, especially age-related learning and memory deficits. Among the NMDA receptor subunits, the NR2B subunit shows the greatest age-related decline in mRNA and protein levels across species, in both the cerebral cortex and specific hippocampal regions, in aged animals[11]. Moreover, in aged rodents, there is a significant correlation between the decline in NR2B subunit expression and impaired memory function[1213]. Furthermore, using antisense oligonucleotides to specifically knock down the hippocampal NR2B subunit in young rats, Clayton et al[14] found that NR2B antisense treatment diminished NMDA receptor responses, abolished NMDA-dependent LTP and impaired spatial learning in the Morris water maze task, thereby mimicking age-related changes in young rats. Interestingly, a paper from our group also confirmed the hypothesis that NR2B upregulation is beneficial for memory improvement in aged mice. Cao et al[15] showed that aged NR2B Tg mice display enhanced novel object recognition memory, fear memory and spatial memory. These studies also indicate that age-related reductions in expression of the NR2B subunit gene, Grin2b, likely contribute to memory impairment in aged animals.Nevertheless, the molecular mechanisms underlying NR2B effects in aged brain remain to be explored. To better understand NR2B mechanisms in aging, we first used microarrays to profile gene expression changes in the neocortex of 19-month-old NR2B Tg mice. Second, we performed pathway and signal-net analyses of differentially expressed genes. Third, using real-time PCR and western blot assays, we validated our microarray data. Identification and characterization of differential gene expression profiles in the neocortex of aged Tg mice will provide important insights into how NR2B regulation works in organismal aging processes and aid identification of new therapeutic targets for age-related disorders such as memory impairments and neurodegenerative diseases.
RESULTS
Enhanced expression of the NR2B subunit gene, Grin2b, in aged NR2B transgenic mice
To confirm elevated Grin2b gene expression in the neocortex of 19-month-old Tg mice, we isolated neocortical RNA from both Tg mice and WT littermates. Using real-time PCR, we found a significant increase in Grin2b mRNA levels in aged Tg mice (P < 0.01; Figure 1).
Figure 1
Relative expression levels of the NR2B subunit gene, Grin2b, in the neocortex of aged transgenic (Tg) and wild-type (WT) mice.
Grin2b expression was analyzed by real-time PCR. Error bars indicate SEM. Data were analyzed using the Student's t-test. aP < 0.01, vs. WT mice. Five mice were used in each group, and the experiment was repeated three times.
Relative expression levels of the NR2B subunit gene, Grin2b, in the neocortex of aged transgenic (Tg) and wild-type (WT) mice.Grin2b expression was analyzed by real-time PCR. Error bars indicate SEM. Data were analyzed using the Student's t-test. aP < 0.01, vs. WT mice. Five mice were used in each group, and the experiment was repeated three times.
Gene expression changes in the neocortex of aged Tg mice
The results of our microarray analysis showed that 457 genes were changed (> 1.5-fold) their expression levels in the neocortex of aged mice (data not shown). Examination of the function of these genes, found that a number of ion channel and hormone/growth factor genes were regulated, as well as genes involved in neurotransmission, signal transduction, structure/cytoskeleton, development, apoptosis and transcription (Table 1).
Table 1
Fold changes of selected genes in the neocortex of aged NR2B transgenic mice during aging
Fold changes of selected genes in the neocortex of aged NR2Btransgenic mice during agingKyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis for differentially expressed genes showed that the genes were involved in many pathways including p53, Jak-STAT, Wnt and Notch, as well as MAPK and calcium signaling pathways. KEGG pathway analysis also showed the genes were associated with neuroactive ligand-receptor interactions, cytokine-cyto-kine receptor interactions, cell communication, glycosphingolipid biosynthesis-lactoseries, focal adhesions, complement and coagulation cascades, extracellular matrix-receptor interactions, long-term depression, bladder cancer, glycine/serine/threonine metabolism, regulation of actin cytoskeleton, basal cell carcinoma, glycan structures-biosynthesis, glioma, melanoma, prostate cancer, apoptosis, natural killer cell mediated cytotoxicity, and tight junction and cell adhesion molecules (Figure 2).
Figure 2
Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of differentially expressed genes in aged transgenic (Tg) mice.
P values < 0.05 and false discovery rates < 0.05 were used as thresholds to select significant KEGG pathways. The horizontal axis denotes the LgP (log(P value)) of significant pathways, with LgP indicating the logarithm of each P-value to the base 10. The significance of specific pathways in Tg mice compared to WT is denoted by –LgP.
Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of differentially expressed genes in aged transgenic (Tg) mice.P values < 0.05 and false discovery rates < 0.05 were used as thresholds to select significant KEGG pathways. The horizontal axis denotes the LgP (log(P value)) of significant pathways, with LgP indicating the logarithm of each P-value to the base 10. The significance of specific pathways in Tg mice compared to WT is denoted by –LgP.
Signal-net analysis
Using the KEGG database, we performed signal-net analysis to construct networks of differentially expressed genes. Key genes identified (Figure 3) include apoptosis-related, for example Bid and p53 that participate in the P53 signaling pathway, and insulin-like growth factor 1 (Igf1) that is involved in the IGF signaling pathway.
Figure 3
Network of differentially expressed genes in aged transgenic (Tg) mice.
Black and white nodes correspond to genes showing significant up and downregulation, respectively, in the microarray data. Lines and arrowheads represent the interaction direction. Bind: The two proteins bind together to form a complex; ACT and Inh: a protein activates or inhibits another protein, respectively; +P: a protein transfers an ATP or GTP phosphate group to another protein, thereby activating that protein; Exp: a protein activates expression of another gene; Comp: two proteins, as two mutually adjacent metabolic enzymes, metabolize the same compound.
Network of differentially expressed genes in aged transgenic (Tg) mice.Black and white nodes correspond to genes showing significant up and downregulation, respectively, in the microarray data. Lines and arrowheads represent the interaction direction. Bind: The two proteins bind together to form a complex; ACT and Inh: a protein activates or inhibits another protein, respectively; +P: a protein transfers an ATP or GTP phosphate group to another protein, thereby activating that protein; Exp: a protein activates expression of another gene; Comp: two proteins, as two mutually adjacent metabolic enzymes, metabolize the same compound.
Validation of microarray data by real-time PCR
To validate the genes identified by microarray, we selected four genes (Ppp2r5e, Grid2, Ttr and Egr2) for real-time PCR confirmation. We found Ppp2r5e, Grid2 and Egr2 were increased 1.71, 1.23, and 1.78-fold, respectively, in the cortex of aged Tg mice, while Ttr was decreased 0.47-fold. These expression changes were consistent with our microarray analysis (Figure 4).
Figure 4
Relative mRNA expression of Ppp2r5e, Grid2, Ttr and Egr2 in the neocortex of aged transgenic (Tg) mice.
(A) Relative expression levels of Ppp2r5e, Grid2, Ttr and Egr2 in the neocortex of aged Tg and wild-type (WT) mice, analyzed using real-time PCR. Error bars indicate SEM. Data are analyzed using the Student's t-test. aP < 0.05, bP < 0.01, vs. Tg mice.
(B) Comparison of relative gene expression obtained by real-time PCR and microarray.
Relative mRNA expression of Ppp2r5e, Grid2, Ttr and Egr2 in the neocortex of aged transgenic (Tg) mice.(A) Relative expression levels of Ppp2r5e, Grid2, Ttr and Egr2 in the neocortex of aged Tg and wild-type (WT) mice, analyzed using real-time PCR. Error bars indicate SEM. Data are analyzed using the Student's t-test. aP < 0.05, bP < 0.01, vs. Tg mice.(B) Comparison of relative gene expression obtained by real-time PCR and microarray.
Expression changes of P53 and Igf1 in the neocortex of aged Tg mice
We also examined P53 protein and Igf1 mRNA expression in the neocortex of aged Tg mice. Western blot analysis showed significantly reduced P53 levels (Figure 5A, B), while real-time PCR showed increased Igf1 mRNA levels (Figure 5C), in Tg mice compared to WT littermates.
Figure 5
P53 and insulin-like growth factor 1 (Igf1) expression in the neocortex of aged transgenic (Tg) mice.
(A) Western blot assay of P53 expression in wild-type (WT) and Tg mice.
(B) Quantification of P53 protein levels was performed by western blot analysis. P53 levels were normalized to GAPDH.
(C) Relative Igf1 mRNA levels were measured using real-time PCR. Relative expression was calculated as a ratio of Igf1 to Gapdh expression in the same sample.
Error bars indicate SEM. Data are analyzed using the Student's t-test. aP < 0.05, bP < 0.01, vs. WT. There were five mice in each group, and the experiment was repeated three times.
P53 and insulin-like growth factor 1 (Igf1) expression in the neocortex of aged transgenic (Tg) mice.(A) Western blot assay of P53 expression in wild-type (WT) and Tg mice.(B) Quantification of P53 protein levels was performed by western blot analysis. P53 levels were normalized to GAPDH.(C) Relative Igf1 mRNA levels were measured using real-time PCR. Relative expression was calculated as a ratio of Igf1 to Gapdh expression in the same sample.Error bars indicate SEM. Data are analyzed using the Student's t-test. aP < 0.05, bP < 0.01, vs. WT. There were five mice in each group, and the experiment was repeated three times.
DISCUSSION
Aging leads to changes in brain morphology and function, which are related with an increased risk for neurological and psychiatric disorders. To investigate the molecular mechanisms of NR2B overexpression during aging, and identify the effect of NR2B on age-related transcriptional changes in the brain, we analyzed gene expression profiles in the neocortex of aged (19-month-old) Tg mice. We found expression of 457 genes in the neocortex were changed > 1.5-fold. Ion channel genes and hormone/ growth factor genes, as well as those involved in signal transduction, neurotransmission, cytoskeletal structure, development, apoptosis and transcription, were significantly altered in aged NR2B Tg mice. KEGG pathway analysis showed multiple pathways were involved, while signal-net analysis identified the P53 and IGF pathways as key regulatory pathways. Our results provide new insight into understanding the molecular mechanisms of NR2B regulated age-related memory storage, normal organismal aging and age-related diseases.In aged Tg mice, many ion channel genes showed altered expression levels. The cholinergic receptor gene, Chrna4, has previously been implicated in working memory[16] and age-related memory[17], and was upregulated in Tg mice, as was another cholinergic receptor subunit gene, Chrna9. In addition, we found the gamma-aminobutyric acid (GABA) receptor epsilon subunit, Gabre, and rho 2 subunit, Gabrr2, were also increased. GABA(A) mRNA shows age-related changes[18], and recently, two potentiators of GABA(A) alpha 5, were shown to improve hippocampus-dependent memory in aged rats[19].This raises the interesting possibility that modification of GABA receptor-mediated inhibition of cortical circuit excitability is involved in age-related memory formation and aging related functional changes in the brain.Imbalances in protein kinases and phosphatases have been reported to be involved in age-related impairments of synaptic transmission[20]. Interestingly, we also found two protein phosphatases (Ppp2r5e and Ppm1f) were significantly upregulated, and a protein kinase (Prkcl) downregulated. This suggests that differential regulation of kinase and phosphatase activities is an important mechanism mediated by NR2B overexpression in aged mice. Conversely, Ppp2r5e upregulation was also observed in the hippocampus of 3-month old Tg mice[21], suggesting this may be a common regulatory mechanism in both young and aged animals.Many studies have demonstrated that as a critical component in developmental regulation, the Notch pathway is also involved in learning and memory processes[222324]. We found the Notch pathway-related genes, Fbxw7, Numb and Hes7, had altered expression in the cortex of aged Tg mice.Although the precise roles of Notch-related genes in memory have not been determined, our findings suggest that these genes may contribute to the enhancement of memory in aged Tg mice. Accumulating evidence shows an association between neurogenesis reductions and aging-related memory impairments and deficits in certain disorders, including Alzheimer's disease[25]. In this study, another developmentally related gene, BMP2, which has been implicated in neocortical neurogenesis[26], was upregulated in aged Tg mice, suggesting BMP2 signaling is involved in age-related memory processes by regulating neurogenesis.Pathway analysis and further signal-net analysis identified the IGF-1 and P53 signaling pathways as altered in the neocortex of aged Tg mice. IGF-1 has been implicated in regulation of several aspects in CNS, including brain metabolism, neural modulation, neural growth and differentiation. A number of studies suggest that IGF-1 plays an important role in cognitive decline, both in aged humans and rodents. Transcriptome analysis of prefrontal cortex found expression of IGF1 mRNA was lower in the frontal cortex of aged human subjects compared with young[27]. There may be a close temporal association between reduction of IGF-1 expression and memory impairments[28]. Replacement of IGF-1 in the brain results in improvement of working memory and novel recognition ability in aged rats[29]. Moreover, IGF-1 administration also ameliorates the age-related decrease in hippocampal neurogenesis[30]. These studies suggest there is an association between IGF-1 reduction and cognitive dysfunction during aging. In addition, other studies have found IGF-1 is also involved in anti-apoptotic actions and neuroprotective effects[30].As a transcription factor, P53 is mainly involved in regulating of cellular effects including apoptosis, cell cycle arrest, and senescence in response to stress. A number of studies suggest P53 also plays a crucial role in regulation of aging and longevity in different species[31]. Recently, a study directly linked p53 to the IGF-1 pathway[32]. Overexpression of P44, a short isoform of p53, hyperactivated the P53 pathway and altered P53-dependent gene expression in mice and consequentially promote IGF-1 signaling, which may account for premature aging of p44transgenic mice. Moreover, P53 can downregulate the insulin/IGF-1 pathways through transcriptional induction of its target genes, including IGF-BP3 and phosphatase and tensin homologs[31]. It is worth noting that P53 regulates aging and longevity in a context-dependent manner. In certain contexts P53 accelerates the aging process, while in others, P53 extends the life span[31]. Our study found IGF-1 upregulation and P53 downregulation by NR2B overexpression in aged mice. This suggests that NR2B regulates learning and memory as well as various other physiological and pathological processes during aging, probably through regulation of P53 and IGF-1 signaling. Interestingly, we observed that IGF-1, but not P53, also changed expression in the neocortex of 3-month old Tg mice (unpublished data). It is possible that the IGF signaling pathway is regulated in both young and aged Tg mice, while the P53 pathway is specific to aged Tg mice. Further studies are required to explore the interactions between these two pathways.In summary, our gene expression profiling results found that many genes involved in neurotransmission, signal transduction, structure/cytoskeleton, transcription, hormone and growth factor, development, and apoptosis may contribute to memory enhancement in aged NR2B Tg mice. Our study also suggests that NR2B overexpression affects many different pathways during aging, especially P53 and IGF-1 signaling. Altered gene expression and different signaling pathways may be associated with memory improvement in aged NR2B Tg mice.
MATERIALS AND METHODS
Design
A bioinformatics study.
Time and setting
This study was performed at the Key Laboratory of Brain Functional Genomics, MOE & STCSM, Institute of Cognitive Neuroscience, East China Normal University, Shanghai, China from June 2005 to January 2011.
Materials
Tg mice and their WT littermate controls were bred from previously generated lines[5]. Male Tg and WT mice aged 19 months were used for microarray experiment. All mice were housed at 20–26°C in 40–70% humidity with a 12-hour light/dark cycle, and allowed free access to food and water. All experimental procedures were in accordance with the Guidance Suggestions for the Care and Use of Laboratory Animals, issued by the Ministry of Science and Technology of China[33].
Methods
Microarray analysis
Microarray analysis was performed as previously described[2134]. Briefly, after the decapitation of aged Tg and WT mice, brains were dissected on ice and immediately removed. In each group, whole cortices from five mice were pooled for RNA isolation. Using the Total RNA Isolation Mini Kit, total RNA was extracted (Agilent, Wilmington, DE, USA) and then cDNA synthesized. In vitro transcription was performed using the Low RNA Input Fluorescent Linear Amplification Kit (Agilent) in the presence of Cy3- and Cy5-CTP (PerkinElmer, Santa Clara, CA, USA). Fluorescent labeled cRNA was used for oligo microarray hybridization. Hybridization solution was prepared using the In Situ Hybridization Kit Plus (Agilent). Agilent's 22K Mouse Oligo Microarray was used for hybridization. The hybridization reaction was carried out in a hybridization incubator for 17 hours at 60°C. The microarray scanner system (Agilent) and feature extraction software were used for data analysis (scan resolution 10 μm, PMT 100%). The LOWESS normalization algorithm was used to standardize microarray data. Log ratio values, equal to the ratio of Cy5 to Cy3 processed signals, were calculated and converted to fold changes. Genes with expression fold changes ≥ 1.5 or ≤ 0.66 (flag = 0, signal-to-noise > 2.6 and P value log ratio < 0.05) were selected for further cluster and functional classification analyses.
Pathway analysis
Pathway analysis was used to identify significantly different regulatory pathways, using the KEGG, Biocarta and Reatome bioinformatic databases, as previously described[21]. Two-sided Fisher's exact tests and 2 tests were used to determine statistical significance of pathways. False discovery rates were calculated to correct P values. P values < 0.05 and false discovery rates < 0.05 were used as thresholds to select significant KEGG pathways.
Signal-net analysis
We used the KEGG database to build networks of genes according to the relationships among the genes, proteins and compounds in the database, as previously described[3536]. Signal-net analysis is not limited to one pathway and this method can be used to screen the upstream and downstream proteins of one specific protein in the entire KEGG database. To reflect the interactions between genes, connecting lines were drawn. Nodes represent genes, and lines and arrowheads represent the interaction direction.
Confirmation of microarray results by real-time PCR
Real-time PCR was performed as previously described[21]. Briefly, using Trizol (Invitrogen, Carlsbad, CA, USA) and M-MLV reverse transcriptase (Invitrogen), total RNA was extracted from frozen neocortex and cDNA were generated. The cDNA samples were used as templates for SYBR Green Q-PCR. Primers were designed using Primer Express software (ABI, Vernon, CA, USA) and synthesized.The primers are as follows:
Detection of P53 protein expression by western blot assay
Neocortices from 19-month-old Tg and WT mice (three mice per group) were dissected and homogenized on ice, in lysis buffer (Beyotime, Haimen, Jiangsu Province, China) with 1:100 volume of phenylmethyl sulfonylfluoride. Samples were centrifuged at 14 000 × g for 15 minutes to remove debris. Total protein concentrations of the lysates were determined using the bicinchoninic acid assay with bovine serum albumin as the standard. Lysates were then separated by 10% sodium dodecyl sulphate-polyacry-lamide mini-gel electrophoresis and electroblotted onto polyvinylidene difluoride membranes (Bio-Rad, Hercules, CA, USA) at 100 V for 60 minutes using the Mill Blot-SDS system (Bio-Rad). After blocking in 10% skimmed milk powder prepared in Tris-buffered saline with Tween-20 at room temperature for 60 minutes, membranes were incubated in 5% bovine serum albumin with mouse anti-p53 monoclonal antibody (1:500; Beyotime) and mouse anti-GAPDH monoclonal antibody (1:5 000; KangChen, Shanghai, China), at room temperature for 1 hour. After two washes in Tris-buffered saline with Tween-20, membranes were incubated in goat anti-mouse IgG-horseradish peroxidase (1:5 000; KangChen) at room temperature for 45 minutes. After three washes, membranes were developed using an enhanced chemiluminescence kit with a 20 minute exposure. Protein levels were quantified using Quantity One software (Bio-Rad) and normalized against GAPDH.
Statistical analysis
Data are presented as mean ± SEM. Statistical significance was determined using Student's t-tests and SigmaPlot software (Systat Software Inc., Chicago, IL, USA). P values < 0.05 were considered statistically significant.Research background: NMDA receptor dysfunction in the brain of aged animals has been demonstrated. In addition, there is significant correlation between the decline in NR2B subunit expression and impaired memory function in aged rodents.Research frontiers: Age-related reductions in NR2B subunit expression are likely associated with memory impairments during aging. However, most studies have focused on behavior and electrophysiology, and the underlying molecular mechanism of NR2B in learning and memory is still less understood.Clinical significance: Understanding the molecular basis of NR2B regulation on age-related memory storage will provide new potential therapeutic targets for age-related disorders, such as memory impairments and neurodegenerative diseases.Academic terminology: KEGG, the Kyoto Encyclopedia of Genes and Genomes, was initiated by the Japanese human genome programme in 1995. It is a collection of online databases dealing with genomes and enzymatic pathways.Peer review: Using microarray technology, this study found 457 genes with altered expression levels in the neocortex of aged NR2Btransgenic mice. Further preliminarily observations identified relationships between specific altered genes and pathways. Although the hypothesis is not novel, and there are no important technological innovations, our study does provide new insight into the molecular mechanisms of NR2B regulated age-related memory storage, normal organismal aging and age-related disease.
Authors: Maya Shakèd; Kathrin Weissmüller; Hanno Svoboda; Peter Hortschansky; Norikazu Nishino; Stefan Wölfl; Kerry L Tucker Journal: PLoS One Date: 2008-07-16 Impact factor: 3.240