Research ArticleGeneticsNeuroscience Free access | 10.1172/jci.insight.120592
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
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1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Wang, P. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Duffney, L. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Siecinski, S. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Xu, S. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Kim, Y. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Kong, X. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Gregory, S. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Xie, W. in: JCI | PubMed | Google Scholar
1University Program in Genetics and Genomics and
2Department of Pediatrics, Duke University, Durham, North Carolina, USA.
3Laboratory of Molecular Genetics, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
4Department of Neurobiology, Duke University, Durham, North Carolina, USA.
5School of Life Sciences, Tsinghua University, Beijing, China.
6Department of Neurology and Duke Molecular Physiology Institute,
7Duke Institute for Brain Sciences, and
8Program in Cellular and Molecular Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Authorship note: AJT and MWT contributed equally to this work.
Find articles by Jiang, Y. in: JCI | PubMed | Google Scholar
Authorship note: AJT and MWT contributed equally to this work.
Published December 6, 2018 - More info
OXTR modulates a variety of behaviors in mammals, including social memory and recognition. Genetic and epigenetic dysregulation of OXTR has been suggested to be implicated in neuropsychiatric disorders, including autism spectrum disorder (ASD). While the involvement of DNA methylation is suggested, the mechanism underlying epigenetic regulation of OXTR is largely unknown. This has hampered the experimental design and interpretation of the results of epigenetic studies of OXTR in neuropsychiatric disorders. From the generation and characterization of a new line of Tet1 mutant mice — by deleting the largest coding exon 4 (Tet1Δe4) — we discovered for the first time to our knowledge that Oxtr has an array of mRNA isoforms and a complex transcriptional regulation. Select isoforms of Oxtr are significantly reduced in the brain of Tet1Δe4–/– mice. Accordingly, CpG islands of Oxtr are hypermethylated during early development and persist into adulthood. Consistent with the reduced express of OXTR, Tet1Δe4–/– mice display impaired maternal care, social behavior, and synaptic responses to oxytocin stimulation. Our findings elucidate a mechanism mediated by TET1 protein in regulating Oxtr expression by preventing DNA hypermethylation of Oxtr. The discovery of epigenetic dysregulation of Oxtr in TET1-deficient mouse brain supports the necessity of a reassessment of existing findings and a value of future studies of OXTR in neuropsychiatric disorders.
Oxytocin, the brain’s most abundant neuropeptide, acts as a neuromodulator and hormone to its G protein–coupled oxytocin receptor (OXTR) and modulates a variety of behaviors including social memory and recognition, sexual and aggressive behaviors, and bonding and maternal care (1–4). OXTR is a small gene, with only 4 exons, and the coding exon spans only a portion of exons 3 and 4 (5, 6). The expression of OXTR in mammals is cell type specific and developmentally regulated (7, 8). The expression of OXTR is higher during parturition and lactation in the uterus and mammary tissues, respectively, as well as in the brain during mating, social bonding, and child rearing (2). The mechanism underlying this dynamic transcriptional regulation is poorly understood. The involvement of DNA methylation in regulating the expression of OXTR has been suggested, but the exact mechanism mediating this process remains largely unknown (9–11). Epigenetic studies in humans have found altered DNA methylation in the 5′ CpG island of OXTR in a wide spectrum of morbid behaviors and neuropsychiatric disorders, such as autism spectrum disorder (ASD), schizophrenia, bipolar, depression, obsessive-compulsive disorders (OCD), and anxiety (12–18). Similar correlations between DNA methylation and behavior are also reported in other species, such as dog and nonhuman primates (19, 20).
The discovery of the ten-eleven translocation (TET) family of methylcytosine dioxygenases has shed light on the regulation of DNA methylation during the development (21, 22). TET proteins catalyze active demethylation of DNA in a stepwise process through formation of 5-hydroxymethylcytosine (5hmC) and other oxidative derivatives of 5-methylcytosine (5mC) (23, 24). The mouse Tet gene family (Tet1–3) is differentially regulated during development and in adult brain (25). Tet1 expression is relatively enriched in embryonic stem cells (ESCs) (25, 26) and has been implicated in regulating genes important for cellular differentiation, pluripotency, and neurogenesis (27–29). In addition to being a DNA demethylation intermediate, 5hmC is a stable DNA modification and is present at variable levels in ESCs and adult tissues, but it is specifically enriched in postnatal brains (30–32), where it accumulates with age (33). The primary role of 5hmC and TET protein is believed to contribute to transcriptional regulation of the genes that are important for the brain development and function (34–41). However, the exact molecular mechanism underlying these processes has not been completely elucidated. One hypothesis for brain enrichment of 5hmC is that key neural genes important for brain function are regulated by TET-mediated hydroxymethylation. Identification of such genes would be the first critical step to investigate the function of TET proteins and 5hmC in the brain.
Three lines of Tet1 mutant mice that disrupt different portions of coding exons have been reported (42–44). Studies of these mutant mice have identified several neural genes that are dysregulated in Tet1-deficient mouse brains (42, 43). However, the findings from these studies of Tet1 mutant mice reveal some similarities, as well as significant differences. The reasons responsible for these differences are not immediately clear. A recent report of different Tet1 isoforms due to the alternative splicing during the early development may suggest that mutations targeting different exons could have different molecular consequence (37, 42, 45, 46).
From the generation and analysis of a new line of Tet1 mutant mice, we discovered that the expression of the Oxtr gene was significantly reduced in the brain of TET1-deficient mice. Unexpectedly, we uncovered that Oxtr displays a complex transcriptional regulation and an array of mRNA isoforms in the brain. The reduced expression of Oxtr only affected select mRNA isoforms in Tet1-deficient brains. Accordingly, the CG sites within the 5′ CpG island of Oxtr was selectively hypermethylated in embryonic and postnatal brains. Thus, we provide the first evidence to our knowledge of an epigenetic mechanism capable of directly regulating Oxtr expression in vivo. These discoveries provide a molecular framework for reinterpreting findings from existing genetic and epigenetic studies and, more importantly, are valuable to guide the experimental design of future studies of the transcriptional regulation and the role of OXTR in neuropsychiatric disorders.
Generation of a line of Tet1 mutant mice and homozygous ESCs. Previous studies have reported 3 lines of Tet1 mutant mice that delete coding exon 5, exons 11–13, or by inserting a gene trap (Gt) in intron 2 (44) (Figure 1A). We generated a new line of Tet1 mutant mice by targeting and floxing the largest coding exon, exon 4 (Figure 1A and Supplemental Figure 1A; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.120592DS1). Deletion of exon 4 causes a frameshift, leading to a premature stop codon in exon 6 that is 36 amino acids after the end of exon 3 and results in disruption of the catalytic domain of TET1. Expression analysis by reverse transcription PCR (RT-PCR) confirmed exon 4 deletion (Figure 1B, right panel), and Western blot analysis showed deficiency of TET1 protein from Tet1Δe4–/– mouse hippocampus (Figure 1C). TET1 has been suggested to promote transcription of pluripotency factors by an in vitro study using RNAi and plays a distinct role during the different stages of the development (47, 48). Therefore, we generated homozygous Tet1Δe4–/– ESCs by targeting the second allele of Tet1e4f ESCs sequentially, followed by introduction of Cre in Tet1e4f/f ESCs (Figure 1D and Supplemental Figure 1, B–E). Tet1Δe4–/– ESCs are viable with no apparent abnormality in cellular morphology. Tet1 and Tet2, but not Tet3, are known to be highly expressed in ESCs (25, 26). Accordingly, we found Tet2 — but not Tet3 — upregulated in Tet1Δe4–/– ESCs (Figure 1E), suggesting a compensatory mechanism of Tet2 in response to deficiency of Tet1 in ESCs. However, this similar compensatory mechanism was not observed in adult hippocampus (Figure 1F).
Generation and characterization of Tet1 mutant (Tet1Δe4) ESCs and mice. (A) Gene targeting strategy for generating Tet1e4f and Tet1Δe4 mice. LoxP sites (red arrowheads), FRT sites (blue diamonds), and primers for RT-PCR (blue arrows) and genotyping (green arrows) are indicated. Mutations of other published Tet1 mutant mice are diagramed (Δe11-13, Δe5, Gene-trap; refs. 42–44). (B) Left panel, DNA Southern blot confirmation of Tet1e4f (+/f) embryonic stem cells (ESCs). Right panel, RT-PCR of Tet1Δe4–/– hippocampus. The primer pair of CR1 and CF1(246 bp) amplified the WT mRNA, and the primer pair of CR1 and CF2 (182 bp) detected the exon 4–deleted mutant mRNA. (C) Western blot analysis with a TET1 antibody confirmed deficiency of TET1 protein from Tet1Δe4–/– (–/–) hippocampus. β-Tubulin used as loading control and fill uncut gel is shown. (D) Generation of homozygous Tet1Δe4–/– ESCs through sequential targeting. The upper right panel shows the Southern blot confirmation of double-targeted ESCs (f/f), and the lower right panel shows PCR genotyping confirmation of exon4 deletion (–/–) after electroporation with Cre plasmid (Supplemental Figure 1). (E) Tet2 but not Tet3 was upregulated in Tet1Δe4–/– ESCs. (**P < 0.005, 2-tailed t test, n = 3–5 for +/+ and –/–). (F) Tet2 and Tet3 were not differentially expressed in Tet1Δe4–/– hippocampus of adult age. (G) Tet1Δe4–/– mice have reduced weight at weaning (3w) and adulthood (n = 4–12/group at weaning and n = 8–19/group at adult age). *P < 0.05; **P < 0.005, ***P < 0.0005, 2-tailed t test. All data are presented as mean ± SEM.
Tet1Δe4+/– mice were backcrossed to C57BL/6J mice for more than 6 generations (N6) before molecular experiments and behavioral analysis. Tet1Δe4+/– mice on a C57BL/6J background displayed partial perinatal lethality and a deviation from th expected Mendelian ratio of genotypes at weaning age, indicating a role for TET1 in early development (Table 1). The surviving Tet1Δe4–/– mice showed a mild degree of growth retardation, as Tet1Δe4–/– mice weighed significantly less than Tet1+/+ littermates at weaning; this persisted into adulthood (Figure 1G). Tet1Δe4–/– mice did not have any apparent abnormal behavior in their home cage.
Transcriptional dysregulation of neural genes in Tet1Δe4–/– mutant mice. While 5hmC is abundant in the postnatal brain, the exact regulatory function of this epigenetic mark remains less understood (30, 31, 49). We hypothesized that TET1-mediated accumulation of 5hmC is implicated in neuronal activity–regulated gene transcription in the brain. Tet1 is expressed quite ubiquitously in the postnatal human and mouse brains with relative higher expression in the hippocampus (Supplemental Figure 2, A and B). Because neuronal activity–regulated gene transcription has been studied extensively in hippocampus (50), we then focused our studies in the hippocampus of Tet1Δe4–/– mice using an electroconvulsive stimulation (ECS) paradigm to induce neuronal activity. We first validated the activity-dependent expression paradigm by confirming upregulation of Bdnf and Homer1a after ECS (Supplemental Figure 3A) (51, 52). The effect of TET1 deletion on activity-dependent gene regulation was examined by comparing RNA sequencing (RNA-seq) expression profiles from the hippocampus of ECS-treated Tet1Δe4–/– and Tet1+/+ mice (Supplemental Figure 3B). The sequence coverage and depth are summarized in Supplemental Figure 3B. Examination of RNA-seq data reads mapped to Tet1 confirmed the deletion of exon 4 (Supplemental Figure 3C). Using a FDR < 0.05 to compare the genes differentially expressed between Tet1Δe4–/– and Tet1+/+ mice, we discovered that 34 genes were significantly upregulated and 184 genes were downregulated (Figure 2A and Supplemental Table 1), suggesting a primary role for TET1 in activating gene expression. In order to test the hypothesis that TET1 is responsible for regulating activity-dependent genes, we cataloged a dataset of activity-dependent genes based on a literature review (Supplemental Table 2). While there was no significant enrichment for neuronal activity–regulated genes disrupted in Tet1Δe4–/– mice in the RNA-seq data, dysregulation of several activity-dependent genes was identified, including the master memory gene regulator Npas4 (Figure 2B) (53). Npas4 downregulation was confirmed by quantitative PCR (qPCR) in the hippocampus of untreated Tet1Δe4–/– mice, as well (Figure 2C). A similar finding was previously reported in another line of Tet1 mutant mice (37). Gene Ontology (GO) analyses by DAVID of the dysregulated genes detected a significant enrichment for genes involved in the extracellular region/matrix/space (Figure 2D). In examining and verifying other nonactivity-dependent genes in RNA-seq data, we found significant downregulation of Oxtr, the transmembrane receptor that binds oxytocin and a key neuronal gene implicated in brain function and behavior. Oxtr downregulation was also observed in untreated Tet1Δe4–/– mice but not in Tet1Δe4–/– ESCs (Figure 2E).
Tet1 deficiency results in significantly reduced expression of key neural genes, including Npas4 and Oxtr, in brain. (A) A total of 186 genes were downregulated and 34 were upregulated in Tet1Δe4–/– hippocampus from RNA-seq analysis using FDR < 0.05 (n = 3/group). (B) Overall, the dysregulated genes in Tet1Δe4–/– hippocampus did not have a significant overlap with known neuronal activity–regulated genes reported in literate (533 genes). Dysregulated activity–dependent genes such as Npas4 were identified from this analysis. (C) Npas4 was downregulated in hippocampus from Tet1Δe4–/– mice (n = 6/group; *P = 0.017, 2-tailed t test). (D) Gene Ontology (cellular component classification) analysis using DAVID revealed an enrichment of extracellular dysregulated genes in Tet1Δe4–/– mice (Benjamini corrected P values indicated). (E) Oxtr was downregulated in hippocampus from Tet1Δe4–/– mice but not in Tet1Δe4–/– ESCs. Oxtr_ABEFG primers used. (**P < 0.005, 2-tailed t test; n = 5–6 for each genotype). (F) Significant overlap of ECS-treated Tet1Δe4–/– hippocampal dysregulated genes with dysregulated genes from neural progenitor cells (NPCs) of Tet1Δe11–13 (odds ratio [OR] = 7.66, P = 0.003) and untreated hippocampus of Tet1Δe5 mice (OR = 39.07, P = 2.3 × 10–57). All data are presented as mean ± SEM.
We compared our list of Tet1Δe4–/– dysregulated genes from ECS-treated hippocampus to the dysregulated genes reported in Tet1 exon 5–deficient (Δe5) hippocampus (37, 43) and Tet1 exon 11–13 deletion (Δe11-13) neural progenitor cells (NPCs) (42). In Tet1 Δe5 mutant mice reported by Rudenko et al., a total of 258 genes are dysregulated in the hippocampus (37). A significant set of genes (54 genes, 20.9%) was also found to be altered in the hippocampus of Tet1Δe4–/– mice (Figure 2F). In NPCs of Tet1 Δe11-13 mice, only 4 of 54 genes (7.4%) overlapped with the dysregulated genes in Tet1Δe4–/– mice. When we compared dysregulated genes from Tet1-knockdown ESCs by RNAi (47) or Tet1 Gt primordial germ cells (44), we did not find significant overlap with the dysregulated genes in the hippocampus of Tet1Δe4–/– mice. These comparisons indicate TET1 differentially regulates sets of genes in a tissue-dependent manner. The differences between Tet1 mutant mice may be due to the nature of the mutations disrupting specific isoforms of Tet1, as suggested by the alternative splicing of the Tet1 gene in a recent report (45).
DNA hypermethylation of the CpG island of Npas4 and Oxtr in Tet1Δe4–/– mice. Based on the role of TET1 in DNA demethylation, we examined if the downregulation of Npas4 and Oxtr were associated with increased CpG island DNA methylation. We used targeted bisulfite genomic sequencing to examine the CpG island associated with the Npas4 promoter region and found it significantly hypermethylated in Tet1Δe4–/– hippocampus (27.2% ± 3.1%) compared with Tet1+/+ (8.1% ± 0.6%) (Figure 3A and Supplemental Figure 4A). This is in line with previous data supporting a role for TET1 in regulating the methylation state of Npas4 (37).
Tet1Δe4–/– mice show hypermethylation of the Npas4 and Oxtr CpG islands during early development and complex transcriptional dysregulation of Oxtr. (A) Diagram of Npas4 promoter (coding regions are shaded), associated CpG island (green bar), and bisulfite-sequencing region (black bar). Npas4 was hypermethylated in hippocampus of Tet1Δe4–/– mice (n = 3/group; P = 0.004, 2-tailed t test). Blue squares represent unmethylated CpG dinucleotides, red squares represent methylated CpGs, and white squares were undetermined due to the ambivalent sequence reads and the same for other figures. (B) Diagram of Oxtr gene structure (coding regions are shaded), CpG island (green bar), and bisulfite-sequencing regions (BS, black bars). The genomic coordinate of BS1–BS3 in mouse mm9 assembly are as follows: BS1, Chr6:112440814-112441327; BS2, Chr6:112440387-112440815; BS3, Chr6: 112439019-112439542. The human CpG island spans 2319 bp (hg19:Chr3:8808962-8811280) extending to the more 5′ region of OXTR as indicated by a dotted green line. Mouse CpG island is 859 bp (mm9:Chr6:112439019-112439877). Human promoter MT2 region (9) and the region harboring the CG site that is likely to be equivalent to the human –934 CG site (14) are indicated as arrow. BS2 and BS3 were hypermethylated but not BS1 in hippocampus of adult Tet1Δe4–/– mice (n = 3/group; BS2, P = 0.0015; BS3, P = 0.0000015; 2-tailed t test). BS3 showed intermediate levels of hypermethylation in Tet1Δe4+/– mice (n = 3–4/group; P = 0.0019, 2-tailed t test). (C) Quantification of DNA methylation of BS1, BS2, and BS3 in hippocampus of Tet1+/+ and Tet1Δe4–/–. (D) The hMDeIP shows the comparable level of 5hmC in BS3 between Tet1+/+ and Tet1Δe4–/– (n = 5/group; **P < 0.005; ***P < 0.0005; 2-tailed t test).(E) Oxtr BS3 was not hypermethylated in Tet1Δe4–/– ESCs. (F) Oxtr BS3 was hypermethylated in cerebellum (CB), cortex (CX), and olfactory bulb (OB) of adult Tet1Δe4–/– adult mice. (G) Oxtr BS3 was hypermethylated in E14.5 cerebellum of Tet1Δe4–/– mice. (H) Oxtr BS3 was hypermethylated in tissues of heart and lung from the other 2 germ layers (Meso, mesoderm; Endo, endoderm). (I) Whole-genome bisulfite sequencing of neocortex from adult brain of Tet1Δe4–/– mice revealed Tet1-DMRs are significantly enriched in intragenic CpG islands (CGI) (n = 3 for +/+ and –/–; P = 2.65 × 10–38, Fisher’s exact test).
The mouse Oxtr gene contains 4 exons (6) including a 5′ UTR, which encompasses exons 1, 2, and part of exon 3 and overlaps with an 859 bp CpG island (Figure 3B). The human CpG island spans 2,319 bp, extending to the more 5′ noncoding region of OXTR (see detail in UCSC genome browser for both mouse and human OXTR/Oxtr CpG islands; www.genome.ucsc.edu). The mouse Oxtr gene also has high GC-content in the homologous region to the human promoter CpG island, indicating that the difference in CpG island length is likely due to a difference in computational thresholds rather than a biological difference. The CpG islands in both human and mice are located downstream of the characterized canonical promoter (5, 6) (Figure 3B). This suggests the presence of additional regulatory elements, such as an additional promoter within the CpG island. In silico analysis of ENCODE data also revealed histone modification peaks within the CpG island that support the presence of regulator elements for OXTR. To examine if the reduced hippocampal expression of Oxtr was associated with DNA hypermethylation of potential regulatory elements within the Oxtr gene, methylation in the 5′CpG island and adjacent region (BS1–BS3) of hippocampus of adult mice was analyzed by targeted bisulfite sequencing (Figure 3B). We first performed bisulfite sequencing on BS1, a region mostly upstream of the 5′ Oxtr transcription start site (TSS). Overall, we were able to achieve >99.0% of the C-T bisulfite conversion rate for most experiments, and only the sequence products that reached >99% C-T conversion rate were included for data analysis. Consistent with the association of low DNA methylation at transcriptionally active promoter regions, BS1 is mostly unmethylated and comparable between Tet1+/+ (8.45% ± 0.51%) and Tet1Δe4–/– (10.13% ± 0.66%) mice, indicating that methylation in the BS1 region is probably not responsible for the reduced expression of Oxtr (Figure 3, B and D, and Supplemental Figure 4B). We next examined BS2, a region just downstream of the most 5′ TSS. A portion of this region has been shown in humans to have activity for an alternative promoter that is suppressed by DNA methylation (region MT2 in Figure 3B) (9). Tet1Δe4–/– mice have significantly increased DNA methylation (9.55% ± 1.48%) in BS2 compared with their Tet1+/+ littermates (2.62% ± 0.61%) (P = 0.0015) (Figure 3, B and D, and Supplemental Figure 4B). The differential methylation in the BS2 region appears to be driven by only a few CpG dinucleotides, including the CpG sites that may be homologous to the human CpG -934 (The “A” in the ATG codon is denoted as +1 position) which was hypermethylated in a small sample of autistic individuals (14) and correlates with several morbid behaviors (54–56). ChIP data from the ENCODE project (57) indicate that the CpG island spanning Oxtr exon 3 includes a potential regulatory element. Strikingly, nearly every CpG assessed in this region (BS3) is significantly hypermethylated in Tet1Δe4–/– mice (70.6% ± 3.60%) compared with their Tet1+/+ littermates (22.03% ± 3.23%) (p<0.0001) (Figure 3, B and D, and Supplemental Figure 4B). To test for a gene dosage effect of TET1 on Oxtr DNA methylation, we examined the BS3 region in heterozygous Tet1Δe4+/– mice and found an intermediate level of methylation (42% ± 3.3%) that is significantly lower than Tet1Δe4–/– (n = 4, P = 0.0019) (Figure 3, B and D, and Supplemental Figure 4B). Because bisulfite genomic sequencing method cannot distinguish between 5mC and 5hmC, we performed hydroxymethylated DNA immunoprecipitations (hMeDIP) using an antibody specific for 5hmC for the BS3 region, and we conducted qPCR on immunoprecipitated DNA. This analysis did not reveal any dignificant difference in 5hmC abundance in the BS3 region between Tet1–/– and Tet1+/+ animals. This result further supports that the difference in methylation detected by bisulfite sequencing is due to a difference in 5mC, not 5hmC (Figure 3C).
We examined the level of BS3 methylation in ESCs to test if the correlation between Oxtr gene expression and DNA methylation extended to ESCs. Consistent with our findings that Oxtr was not differentially expressed in ESCs, BS3 methylation in Tet1Δe4–/– ESCs is not different from Tet1+/+ ESCs (Figure 3E). These data suggest that DNA methylation of BS3 regions is associated with altered Oxtr expression, as ESCs do not express Oxtr. To examine brain region specificity of Oxtr CpG island hypermethylation, we examined multiple brain regions and found the hypermethylation of BS2 and BS3 in Tet1Δe4–/– adult mouse brain is not limited to hippocampus but also includes the regions of cerebellum, cerebral cortex, and olfactory bulb (Figure 3F and Supplemental Figure 4C). These results suggest that hypermenthylation of Oxtr in Tet1Δe4–/– animals may be established early in brain development prior to the development of different brain regions. We examined BS3 in embryonic brains and found hypermethylation of Oxtr in the cerebrum as early as E14.5 (Figure 3G). As it is technically challenging to genotype and analyze the DNA methylation patterns of each germ layer of an individual embryo due to an insufficient amount of DNA, we speculated that if hypermethylation of BS3 was established and maintained prior to gastrulation, we would find adult tissues from all 3 primary germ layers to be hypermethylated. In addition to our finding of hypermethylation in the adult brain (ectoderm), we observed BS3 hypermethylation in tissue that arose from mesoderm (heart) and endoderm (lung) in adult Tet1Δe4–/– mice (Figure 3H). As BS3 methylation is similar in ESCs between WT and Tet1Δe4–/–, these data suggest a window during early embryonic development for TET1-mediated maintenance of Oxtr methylation, which is TET1-dosage dependent.
The TET1 protein contains a CXXC domain, which preferentially binds to unmethylated CpG-rich sequences (58). We performed whole-genome bisulfite sequencing in adult cerebral cortex tissue using a previously described method (45, 59) to investigate the genome-wide effect of TET1 deficiency on DNA methylation in the brain. As whole genome bisulfite sequencing requires larger quantities of input DNA, cerebral cortex tissue was chosen because the size of the tissue allows for a sufficient amount of DNA to be obtained from a single animal. Sequence reads were mapped to mouse genome mm9 assembly (http://genome.ucsc.edu) using BSMAP program (60), and only samples with C to T conversion rate greater than 99% were accepted for further data analysis. Through this analysis, we identified 666 differentially methylated regions (Tet1-DMRs) between Tet1Δe4–/– and Tet1+/+, with an enrichment for hypermethylated Tet1-DMRs (522 hypermethylated vs. 144 hypomethylated). We discovered an enrichment of hypermethylated Tet1-DMRs in CpG islands (380 CpG islands; ΔmCG ≥ 20%), including the Oxtr CpG island (1.2 fold observed/random, P = 1.25 × 10–7) (Supplemental Table 3). The distributions for DMRs indicated a distinct pattern across the genome. Stratifying CpG islands by location (promoter vs intragenic) revealed Tet1-DMRs significantly enriched in intragenic CpG islands (Figure 3I, 4.5-fold observed/random, P = 2.65 × 10–38), indicating a more prominent role for TET1 in regulating intragenic CpG island methylation. The motif analysis by HOMER2 program has revealed top 20 binding sites including NeuroD and MEF2C, which are known to be important for transcriptional regulation of neuronal genes (46) (Supplemental Figure 5B). In addition, the methylation at the mCH site is not significantly different between Tet1+/+ and Tet1Δe4–/– mice (Supplemental Figure 5A).
Identification of Oxtr mRNA isoforms and reduced expression of Oxtr isoforms in Tet1Δe4–/– mice. (A) Oxtr mRNA isoforms (A–H) identified by 5′ RACE and confirmed by RT-PCR and Sanger sequencing (predicted coding regions are shaded). qPCR primers indicated (multicolored arrows and supplemental method). The new sequences for individual isoforms have been deposited in GeneBank with accession no. KU686795-KU686801. (B) qPCR data revealed downregulation of isoform B, but not A or H, in the hippocampus of Tet1Δe4–/– mice (n = 3–4/group, *P < 0.05, 2-tailed t test). (C) The histone modification of Oxtr in mouse brain. The enrichment of histone H3K4me3 and H3K27me3 in BS1–BS3 regions of Oxtr was revealed from ENCODE project. A second putative regulatory element was identified within exon 3 (large black bar) of Oxtr, which overlaps a CpG island (green bar) (mm9, http://genome.ucsc.edu/). Selection of Oxtr regions for bisulfite sequencing (BS1–BS3) and ChIP-PCR are indicated. ENCODE ChIP data shown is from E14.5 whole brain produced in the laboratory of Bing Ren (H3K4me3, GEO GSM1000095; H3K27me3, GEO GSM1000143). The similar pattern is also observed in ChIP-seq from 8-week cerebellum (http://genome.ucsc.edu) (Supplemental Figure 6). (D) The enrichment of H3K4me3, H3K27me3, and H3K4me1 in DMRs of Tet1Δe4–/– mice. The hypermethylated DMRs (200 bp bin) in Tet1Δe4–/– cortex was selected firstly by Fisher test with a threshold of P < 0.05. The 2000 bp genomic windows containing at least 4 hypermethylated DMRs (200 bp) in Tet1Δe4–/– cortex were selected out as DMRs for histone enrichment analysis. Random control regions with same bin size covered by the same methylome were chosen as controls. The ENCODE ChIP-seq data from WT adult mouse neocortex was used for the analysis. P values (calculated by t test) indicate a significant differential histone enrichment between DMRs and control region. (E–G) ChIP-qPCR revealed altered histone modifications at the bivalent promoter region of and GARDP control (E) and Oxtr (F and G) in the cerebrum of Tet1Δe4–/– mice. H3K4me3 (active mark), H3K27me3 (repressive mark), and IgG (isotype negative control) were assessed in 2 regions overlapping coding exon 3 and exon 1 in the 5′ UTR. Both H3K4me4 and H3K27me3 were reduced in BS3 hypermethylated region of Tet1Δe4–/– mice (n = 2/group and 3 replicates for each group).
Discovery of Oxtr gene mRNA isoforms and reduced expression of Oxtr Isoforms in Tet1Δe4–/– mice. The pattern of Oxtr hypermethylation within BS3 and not BS1 suggests that a regulatory element lies within exon 3 of Oxtr, which could cause Oxtr to have a more complex transcript structure than described in the literature (5, 6, 61). A single Oxtr transcript (Oxtr-A) has been previously characterized with an ORF spanning exons 3 and 4 and encodes a 388–amino acid protein (6) (Figure 4A). Examining the Oxtr gene structure in the genome browser (mm9, http://genome.ucsc.edu/) revealed a predicted mRNA isoform lacking exons 1 and 2 (Oxtr-B), as well as a previously deposited isoform originating from intron 3 (Oxtr-C). We validated the presence of all 3 isoforms in the hippocampus by RT-PCR and sequencing (Figure 4A). In addition, we identified a fourth isoform by RT-PCR and sequencing in which exon 3 is skipped (Oxtr-D). To examine if there were additional TSS not previously reported that could be affected by the exonic hypermethylation of the BS3 region, we performed 5′ rapid amplification of cDNA ends (RACE) using primers from exon 4 in a pair of Tet1+/+ and Tet1Δe4–/– mice. Interestingly, the sequences of 5′ RACE products revealed 4 potentially novel TSS, including 1 originating from intron 3 (Oxtr E–H) (Figure 4A). Isoforms A and B have the same full-length ORF, while the other mRNA isoforms have predicted shorter ORFs ranging from 75–114 amino acids. However, whether the shorter mRNA isoforms are translated endogenously and possess a function similar to OXTR warrants further investigation. We measured the relative abundance of these various Oxtr transcripts by qPCR with primer sets indicated in Figure 4A. Our results indicate that Oxtr-B is the most dramatically reduced isoform (20% of WT), while full-length Oxtr-A and potentially novel isoform Oxtr-H are not different in Tet1Δe4–/– hippocampus (Figure 4B). Transcript levels of isoforms C and D were below our detection threshold, and unique primers to detect isoforms E, F, and G could not be designed because of transcript overlap. Our data together indicate a complex transcriptional regulation with the possibility of more than 1 TSS of Oxtr. This data also suggests a mechanism of TET1-governed DNA methylation underlying expression of selective isoforms of Oxtr.
The histone modifications are altered in DMRs of Oxtr in Tet1Δe4–/– mice. DNA methylation is mechanistically known to be linked to various histone modifications in the genome (62). DNA hypermethylation of BS3 and reduced transcripts of Oxtr in Tet1Δe4–/– mice prompted us to examine whether histone modifications associated with Oxtr are altered. We first examined the ChIP-seq data of mouse brain in the Oxtr region from the ENCODE project (http://genome.ucsc.edu) (63). Consistent accumulation of both the active histone mark H3K4me3 and the repressive mark H3K27me3 suggest that a bivalent peak of histone modifications may also contribute to expression of Oxtr in various tissues (Figure 4C and Supplemental Figure 6). For example, the peaks of H3K4me3 ChIP-seq data in heart tissue show a distinct pattern at E14.5 and 8-week-old mice during development (Supplemental Figure 6). The bivalent chromatin regions overlap with the canonical TSS and the hypermethylated BS3/BS2 region within CpG island in Tet1 mutant mice. These in silico data strongly suggest additional transcriptional regulatory elements in BS3/BS2 hypermethylated that are associated with different histone modifications.
We then compared the histone modifications of H3K4me3, H3K27me3, and H3K4me1 between the DMRs identified in the cerebral cortex of Tet1Δe4–/– mice and randomly selected 2 kb bin control genomic regions genome-wide from the same methylome using ChIP-seq data in mouse cortex deposited by ENCODE (63). This analysis revealed that the modifications of H3K4me3, H3K27me3, and H3K4me1 were enriched in the DMRs of Tet1Δe4–/– mice compared with the control regions (Figure 4D). Accordingly, ENCODE ChIP-seq data from E14.5 whole brain tissue indicates the Oxtr promoter has 2 active H3K4me3 peaks and a repressive H3K27me3 peak that overlap the BS1–3 regions (Figure 4C), typical of a bivalent domain (64). TET1 is known to preferentially bind to these transcriptionally poised bivalent domains, which are generally hypomethylated in ESCs (47). To examine whether the histone modifications of H3K4me3 and H3K27me3 suggested from in silico analysis were altered in Tet1Δe4–/– mice, we performed ChIP analysis using hippocampus tissues and GADPH as control to show the specificity of the antibody (Figure 4E). H3K4me3 was increased and H3K27me3 was not changed in the BS1 region (Figure 4F). H3K4me3 and H3K27me3 were reduced in the hypermethylated BS3/exon 3 region in Tet1Δe4–/– mice (Figure 4G). The degree of reduction of H3K4me3 (active chromatin mark) was more prominent than that of H3K27me3 (repressive chromatin mark). Hypermethylation of Oxtr skews the balance between the active and repressive marks, resulting in abundance of H3K27me3 and the reduction of select mRNA isoforms of Oxtr.
Tet1Δe4–/– mice display abnormal social behaviors. Due to the observed dysregulation of Npas4 and Oxtr and their roles in synaptic development and function (65, 66), we wanted to test whether there would be cognitive and social deficits in Tet1Δe4–/– mice. We performed a battery of behavioral tests using multiple cohorts of backcrossed (N6) C57BL/6J mice (Supplemental Figure 7). Tet1Δe4–/– mice appeared grossly normal by a neurophysiological screen (Supplemental Figure 8). Tet1Δe4–/– mice were hypoactive and spent less time in the center of the open field (Figure 5A and Supplemental Figure 9A) but showed an enhanced ability to stay on the accelerating rotarod (Supplemental Figure 9B), suggesting the hypoactivity in the open field is more likely anxiety related than a motor impairment. However, Tet1Δe4–/– mice do not have a strong anxiety phenotype in the light-dark emergence test (Supplemental Figure 9C).
Tet1Δe4–/– mice are hypoactive and display impaired social and maternal care behaviors. (A) Tet1Δe4–/– mice were hypoactive in the open-field exploration as indicated by a reduced distance traveled (P = 0.0005, 2-tailed t test) and reduced center time (P = 0.04, 2-tailed t test). n = 21 (–/–) and 30(+/+). (B) Tet1Δe4–/– female mice display significantly increased stationary reactivity (P = 0.017, 2-tailed t test) and threatening postures in the resident intruder test (P = 0.001, 2-tailed t test). Males show a significant increase in threatening postures (P = 0.02, 2-tailed t test). n =13 (male–/–) and 8 (female–/–); n = 17 (male +/+) and 13 (female+/+). (C) Tet1Δe4–/– mice showed delay in pup retrieval (genotype x day: F[2,30] = 7.244, P = 0.003, Tukey’s multiple comparison’s test: Tet1Δe4–/– day 1 vs. day 3, P = 0.222; Tet1+/+ day 1 vs. day 3, P = 0.026) (left panel), and reduced overall crouching time (effect of genotype: F[1,15] = 5.357, P = 0.035) (middle panel). Both genotypes show an increase in crouching over time (effect of day: F[2,30] = 3.534, P = 0.042); however, post-hoc analysis were not significant for any group. n = 7 (–/–) and 10 (+/+). Tet1Δe4–/– mice showed reduced overall crouching time (effect of genotype: F(1,15) = 5.357, P = 0.035) (middle panel). Tet1Δe4–/– mice showed increased aggressive interactions in the first 15 minutes of the first day of virgin pup retrieval (P = 0.008, 2-tailed t test) (right panel) RMANOVA with Tukey’s post-hoc correction. (D) Tet1Δe4–/– mice showed a trend to reduced preference in training, short-term, and long-term memory in the object exploration (effect of genotype: F[1,48] = 3.877, P = 0.055; effect of time: F[2,96] = 0.035, P = 0.053). Train, training phase; STM, short-term memory; LTM, long-term memory. n = 21 (–/–) and 29(+/+). RMANOVA.
The role of OXTR has been well studied in the context of social and maternal care behaviors (66, 67), and increased aggression and reduced maternal care are observed in Oxtr mutant mice (68). To examine whether Tet1Δe4–/– mice show similar abnormal behaviors, we first performed the resident intruder test. In the sex-matched resident intruder test, there was a significant increase in agonistic behaviors in female Tet1Δe4–/– mice but not in male Tet1Δe4–/– mice (Figure 5B and Supplemental Figure 9D). Tet1Δe4–/– female mice display threatening postures of a similar magnitude to male mice. These abnormal behaviors are similar to that observed in Oxtr–/– mice (68). We further evaluated the maternal care behavior by virgin pup-retrieval test. Maternal care behavior was only tested in virgin females, as Tet1Δe4–/– female mice have reduced fertility and could not produce enough pups for dam pup retrieval. Increased maternal responsiveness after repeated exposures to pups is associated with increase oxytocin expression in the brain of WT virgin female mice (69, 70). Interestingly, the virgin pup retrieval test revealed that Tet1Δe4–/– female mice show increased latency to retrieve pups on the third day of testing (Figure 5C, left panel), spend less time crouching over pups (Figure 5C, middle panel), and show an increase in aggressive interactions of pup exposure (Figure 5C, right panel). Male mice were not tested in virgin pup retrieval, as males are known to attack nonoffspring (71).
In the potentially novel object recognition test, Tet1Δe4–/– mice show a trend toward short-term (1 hour) memory deficits, indicating impairment in episodic memory (Figure 5D). Long-term (24 hours) memory is not significantly different between genotypes. Spatial learning (Morris water maze) (Supplemental Figure 9, E and F), olfactory memory (social transmission of food preference) (Supplemental Figure 9G), and associative memory (fear conditioning) did not differ between Tet1Δe4–/– mice and their Tet1+/+ littermates (Supplemental Figure 9H).
Tet1Δe4–/– mice display impaired response to OXTR agonist stimulation but normal synaptic plasticity in the hippocampus. The reduced expression of Oxtr and the similar behavioral phenotype of Tet1Δe4–/– to Oxtr–/– mice prompted us to examine the functional deficits specific to Oxtr. It has been shown that OXTR agonist (TGOT) increases the frequency and amplitude of spontaneous inhibitory postsynaptic currents (sIPSCs) onto hippocampal CA1 pyramidal neurons (72, 73). We speculated that if the reduced expression of Oxtr in Tet1Δe4–/– neurons affected the function of OXTR, the response to oxytocin in pyramidal cells could be impaired. Thus, we recorded sIPSC from CA1 pyramidal cells at baseline, as well as in the presence of TGOT stimulation. The mean frequency at baseline for Tet1Δe4–/– (4.16 ± 0.67 Hz) is borderline lower than that of Tet1+/+ (2.47 ± 0.48 Hz) (Figure 6A). The increase of sIPSC frequency in response to TGOT in Tet1Δe4–/– is similar to that of Tet1+/+ mice. The amplitude of sIPSC of Tet1Δe4–/– neurons (26.56 ± 6.78 pA) is comparable with that of Tet1+/+ mice (20.36 ±2.19 pA). However, the amplitude of sIPSC in response to TGOT in Tet1–/– neurons is significantly diminished compared with that of Tet1+/+ (Figure 6B).
Tet1Δe4–/– mice display impaired response to OXTR agonist stimulation but normal synaptic plasticity in the hippocampus. (A) The frequency of spontaneous inhibitory current (sIPSC) at baseline and after TGOT stimulation in Tet1+/+ (n = 8 cells) and Tet1Δe4–/– (n = 10 cells) mice. The mean frequency at baseline for Tet1Δe4–/– (4.16 ± 0.67) was borderline lower than that of Tet1+/+ (2.47 ± 0.48) (P = 0.051, 2-tailed t test). Both Tet1e4+/+ and Tet1Δe4–/– cells showed the significant increased frequency in response to TGOT stimulation (Wilcoxon signed ranks test; P = 0.008 for +/+ and P = 0.01 for –/–). (B) The amplitude of spontaneous inhibitory current (sIPSC) at baseline and after TGOT stimulation in Tet1e4+/+ (n = 8 cells) and Tet1Δe4–/– (n = 10 cells) mice. The amplitude of sIPSC at baseline for Tet1Δe4–/– neurons (26.56 ± 6.78) was comparable with that of Tet1+/+ mice (20.36 ± 2.19). Tet1+/+ but not Tet1Δe4–/– cells showed the significant increased amplitude in response to TGOT stimulation (Wilcoxon signed ranks test; P = 0.006 for +/+ and P = 0.65 for –/–). (C) Baseline synaptic transmission not different in hippocampal CA1 of Tet1Δe4–/– mice. (n = 8 [–/–] slices from 5 mice; n = 11 [+/+] slices from 6 mice of 6–8 weeks old). (D) Paired pulse facilitation (PPF) not different in hippocampal CA1 of Tet1Δe4–/– mice indicating normal presynaptic function. (n = 8 [–/–] slices from 5 mice; n = 11 [+/+] slices from 6 mice of 6–8 weeks old). (E) Fiber volley not different in hippocampal CA1 of Tet1Δe4–/– mice indicating normal presynaptic function (n = 8 [–/–] slices from 5 mice; n = 11 [+/+] slices from 6 mice of 6–8 weeks old). (F) LTP in CA1 of Tet1Δe4–/– was not different from Tet1+/+ (+/+, 11 slices from 6 mice; LTP, 156% ± 6 %; –/–, 8 slice from 5 mice; LTP, 153% ± 12 %; 2-tailed t test). Arrow indicates the time of stimulation (HFS, 100 Hz, 1 second).
A previous study reports the impaired long-term synaptic plasticity in hippocampus of mutant mice lacking both DNA methyltransferases Dnmt1 and Dnmt3a in postnatal brain, suggesting that DNA methylation is essential for synaptic function (74). We then examined whether deficiency of Tet1 may also affect synaptic function. The baseline synaptic transmission (Figure 6C) and the presynaptic function measured by paired pulse facilitation (PPF) and fiber volley are not affected (Figure 6, D and E). In contrast to the impaired long-term potentiation (LTP) in the hippocampus of Dnmt1 and Dnmt3a mutant mice, the synaptic plasticity as measured by hippocampal LTP in hippocampal CA synapses were not altered in Tet1Δe4–/– mice (Figure 6F).
OXTR, the receptor for oxytocin, is a 9–amino acid neuropeptide produced in the brain and functions in both peripheral reproductive tissues and in the brain (2, 3). The molecular mechanism regulating the dynamic expression of OXTR in response to different physiological stimuli has not been characterized. Our discovery of the complex transcriptional regulation and hypermethylation of Oxtr in Tet1Δe4–/– mice provide insight into transcriptional regulation of Oxtr and support that Oxtr is epigenetically regulated and that hypermethylation of CpG island correlates with the reduced expression of Oxtr isoform in vivo.
Previous in vitro studies have suggested that 2 regions may implicate DNA methylation in expression of Oxtr. First, the methylation of 2 CpG sites (–932 and –733; the canonical TSS within the exon 1 is numbered as +1) in a region overlapping with the BS1 analyzed in this study has been shown to be negatively correlated with the expression of Oxtr in the mouse 4T1 cell line and brains (10, 11). Second, the methylation of CpG site in a 450 bp region (MT2) downstream of 5′ canonical TSS that overlaps the homologous BS2 region is important for decreased expression of human OXTR in vitro (9). In brain regions analyzed in Tet1Δe4–/– mice, we did not find a significant methylation difference for BS1, but we did discover a significant difference in the BS2 and BS3 regions. Consistent with these results, the full-length isoform Oxtr-A, for which the transcript begins in the BS1 region, was unaltered in Tet1Δe4–/– mice. Isoform Oxtr-B, a short isoform initiated from an alternative downstream promoter in BS2-BS3 region appeared most affected by the hypermethylation.
The human –934 (The A in the ATG codon is denoted as +1 position) and adjacent CG sites, regions that have been studied in many epigenetic-associated studies in human psychiatric disorders, are homologous to the hypermethylated region in the BS2 in Tet1Δe4–/– mice based on the in silico analysis of genomic position. However, it is difficult to pinpoint the exact CG site in mice that is equivalent to the human CpG –934 CG site. The discovery of potentially novel mRNA isoforms in our study presents many questions about the transcriptional regulation of Oxtr. It remains to be determined whether each mRNA isoform has brain region– or cell type–specific expression or if each isoform is translated into a protein and how the methylation state of individual CG sites regulate isoform-specific Oxtr expression. Nevertheless, our finding raises interesting questions about whether each isoform may possess a specific function in the developing or adult brain.
Our Tet1-KO mouse with a deletion of exon 4 is potentially novel. While we recognize the reports of other 3 different lines of Tet1 mutant mice (42–44), we believe that our line of Tet1 mutant mouse still has significant value for future study of TET1 function in vivo because of possible alternative splicing of Tet1 suggested by a recent report (45) and in silico data. The dysregulation of Npas4 is consistent with the finding from the Tet1 Δe5 line of Tet1 mutant mice (37). The reduced expression of Oxtr in Tet1Δe4–/– mice is potentially novel and has not been addressed in other lines of Tet1 mutant mice. Our study suggests that early prenatal development is a critical period for TET1 function, as was also reported in a previous in vitro study (29) and a recent report indicating a lineage-specific role of TET1 in embryonic development (75). The Oxtr CpG island is hypermethylated in the E14.5 cerebrum, as well as mesodermal and endodermal tissues, but not in ESCs. The most plausible explanation would be that, without TET1, the Oxtr CpG island becomes hypermethylated during the onset of de novo methylation between E4.5–7.5 and the aberrant methylation is then propagated in every cell from that point. Rather than a role in active demethylation, the hypermethylation of Oxtr in Tet1 mutant mice supports a role for TET1 in preventing de novo methylation, as has previously been suggested (29, 76). In addition, the finding of intermediate hypermethylation of Oxtr in heterozygous Tet1Δe4+/– mice suggests that proper establishment of DNA methylation during development is sensitive to levels of TET1.
The role of oxytocin and OXTR in the neural circuitry involved in maternal care and social behavior has been well documented (77–81). In mice, both Oxtr–/– dams and Oxtr–/– virgin females take longer to retrieve pups and spend less time crouching over them in the pup retrieval test (68). In addition to aberrant maternal behavior, Oxtr–/– males are more aggressive in the resident intruder test demonstrated by an increase in the number and duration of attacks (68). Our findings of increased threatening behaviors and decreased maternal care in Tet1Δe4–/– mice recapitulate the findings observed in Oxtr–/– mice and support the dysregulation of Oxtr in causing these behavioral deficits. The reduced response to oxytocin receptor agonist (TGOT) stimulation in TET1-deficient hippocampal neurons provides further support for impaired function of OXTR in the brain of Tet1Δe4–/– mice. However, it may be noted that, in addition to downregulation of Oxtr, there are other dysregulated genes in our Tet1Δe4–/– mice that may confound the interpretation of behavioral phenotypes; therefore, further studies such as reexpression of OXTR in select brain regions of Tet1Δe4–/– mice may be warranted.
OXTR has been the focus of extensive genetic and epigenetic studies for its role in psychiatric diseases or morbid behaviors in humans. There are more than 20 studies focusing on analysis of 5mC in the different CpG sites within the CpG island in humans (Supplemental Figure 10) (14, 17, 54–56, 82–92). The regions equivalent to the hypermethylated BS1 and BS2 in Tet1 mutant mice have been the focus in these studies. In most studies, only select CpG sites, ranging from 1–20, within the CpG island are analyzed (55, 93). Significant associations have been reported between OXTR DNA hypermethylation in these CpG sites and a wide spectrum of morbid behaviors and neuropsychiatric disease, such as ASD, schizophrenia, bipolar, OCD, and postpartum depression. Specifically, hypermethylation of a specific CpG site -934 of OXTR is reported in human postmortem autism brain tissues and is associated with schizophrenia, social response, and perception to anger and fear in human brains (14, 55, 56, 93). The hypermethylation is typically associated with the reduced expressions of OXTR in the majority of the studies, but the opposite directions are also observed in a few CG sites. Until now, any mechanism underlying the change of methylation of OXTR in these studies was entirely unknown. Our finding provides the first evidence to our knowledge of a potential mechanism for OXTR hypermethylation and suggests that TET1 implicates the underlying mechanism of hypermethylation of human OXTR found in neuropsychiatric diseases.
The overall transcriptional regulation and isoform structure between human and mice are predicted to be highly conserved (5, 6, 67). The Oxtr transcript structure suggests a necessity of performing a reanalysis of results from existing epigenetic studies of OXTR in human, as the differences in methylation at unique CpG sites are likely to have different functional consequence on isoform-specific OXTR expression. In addition, multiple human studies have found strong associations between genomic variants in OXTR and ASD (13, 94–96). Our findings provide valuable information to reevaluate whether different OXTR isoforms are affected in these studies. Of particular interest, our finding that Oxtr is hypermethylated in tissues from all germ layers supports the use of peripheral blood in neurodevelopmental studies. Furthermore, our finding that TET1 has a dosage-sensitive effect on Oxtr methylation is particularly interesting, considering that heterozygous TET1 mutation has been reported in individuals with ASD (97). Altogether, our discovery of the involvement of TET1 in the epigenetic regulation of Oxtr and the complex transcriptional structure of Oxtr provide insights into understanding the role of OXTR in brain function and in neuropsychiatric disorders. The region-specific hypermethylation in the CpG island and isoform-specific reduction of Oxtr in Tet1 mutant mice will guide the experimental design for future OXTR epigenetic and genetic studies in human neuropsychiatric disorders.
Detailed experimental procedures can be found in Supplemental Methods.
Generation of Tet1Δe4–/– mice. For gene targeting and Southern analysis, we created a floxed construct of Tet1 exon 4 using the recombineering method described by Liu and colleagues (98). The 129SvEv BAC clone (bMQ-258L12) covering the Tet1 gene was first identified in silico using the Ensembl mouse genome browser (www.ensembl.org) and obtained from Geneservice (www.geneseservice.uk.com) (99). A 13.7-kb genomic fragment containing exon 4 of the Tet1 gene was retrieved into a plasmid from the BAC clone. A neomycin (neo) selectable marker flanked by flippase recognition target (FRT) sites was inserted into the plasmid. Two loxP sites were inserted into the plasmid flanking exon 4. The 5′ loxP was introduced at the genomic site of 62,304,376 bp, and the 3′ loxP/neo cassette at 62,300,243 bp (www.genome.ucsc.edu; mm9). The finalized plasmid was linearized with NotI and electroporated into R1 129/Sv mouse ESCs at the Duke Neurotransgenic Laboratory. Neo-resistant colonies were picked after 7–8 days of selection, and correctly recombinant clones were identified by Southern blot analysis using both a 5′ and 3′ probe. Tet1e4+/f ESCs were injected into blastocysts to produce the chimeric male mice. These were bred with CMV-Cre females (The Jackson Laboratory, stock no. 006054) to obtain germline transmission of the Tet1-deleted allele. Tet1Δe4+/– mice were backcrossed to C57BL/6J mice (The Jackson Laboratory, stock no. 000664) for more than 6 generations (N6) before molecular experiments and behavioral analysis. We segregated out a naturally occurring mutation in the Disc1 gene in the 129R1 mouse strain from which ESCs were derived during the backcrossing. Multiple cohorts of Tet1Δe4–/– mice and WT control (Tet1+/+) littermates were obtained from heterozygous breeding. All mice used for molecular experiments were between 5–10 weeks of age and were between 2–6 months for behavioral tests. Mice were sex-matched for all experiments.
Bisulfite sequencing. DNA (2 μg) from each sample was bisulfite-converted using the EpiTect bisulfite kit (Qiagen) according to the manufacturer’s protocol. Bisulfite-converted DNA was amplified in 40 cycles using EpiMark Hot Start Taq DNA polymerase (New England Biolabs). Specific primers and annealing temperatures are listed in Supplemental Methods. PCR fragments were recovered by gel excision and cloned into the pGEM-T easy vector (Promega). Typically, 16 clones from each PCR product were sequenced with M13R primers at Beckman Coulter Genomics or EtonBio. A minimum of 10–12 clones with high-quality sequencing was obtained for each sample. Only the sequence products with bisulfite C–T conversion rate >99% were included for the data analysis, and we were able to achieve this conversion rate in most of experiments performed. Sequencing reads were analyzed using the online platform BISMA using default analysis parameters: Lower threshold conversion rate 99%, lower threshold sequence identity 90%, upper threshold of N-sites at cytosine position 20%, upper threshold gaps allowed 20% (100).
Field potential recording. Six- to 8 week-old mice were used for the LTP experiment. The hippocampus was cut in transverse sections at 400 μm in the slicing solution containing 75 mM sucrose, 87 mM NaCl, 2.5 mM KCl, 1.25 mM NaH2PO4, 26 mM NaHCO3, 10 mM glucose, 7 mM MgCl2, and 0.5 mM CaCl2. Slices were recovered at least 2 hours at 30°C in ACSF containing 124 mM NaCl, 3 mM KCl, 1.25 mM NaH2PO4, 26 mM NaHCO3, 10 mM glucose, 1 mM MgCl2, and 2 mM CaCl2. In the submersion recording chamber (30°C), a glass recording electrode (1–3 MΩ) filled with artificial cerebrospinal fluid (ACSF) was placed in CA1 radiatum. At baseline, stimulations (200 μsec, DS301 or Isoflex) were applied to the Schaffer collaterals every 30 seconds with a concentric bipolar tungsten electrode. The input-output relationship was obtained from increasing stimulation intensities (intervals of 5, 10, 15, 20, 25, 30, 40, 50, 60, 100 μA). Paired-pulse ratios were obtained from the field excitatory postsynaptic potential (fEPSP) slope of the second to the first stimulus at given interstimulus intervals (25–2,000 ms). For LTP, the stimulus strength was adjusted to evoke a fEPSP at half of the maximal response. After recording a stable baseline for 20 minutes (less than 5 % drift), high-frequency stimulation (100 Hz, 1 second) was applied. For the next 60 minutes, activity to a single pulse was recorded. The slope at 55–60 minutes was compared with the preconditioning baseline response (last 5 minutes of baseline). Values are expressed as means ± SEM.
Whole cell recording. Hippocampi from mice ages 2–3 months were cut in transverse section at 300 μm in a slicing solution containing 75 mM sucrose, 87 mM NaCl, 2.5 mM KCl, 1.25 mM NaH2PO4, 26 mM NaHCO3, 10 mM glucose, 7 mM MgCl2, and 0.5 mM CaCl2. Slices were incubated for 30 minutes at 34°C in ACSF containing 124 mM NaCl, 3 mM KCl, 1.25 mM NaH2PO4, 26 mM NaHCO3, 10 mM glucose, 1 mM MgCl2, and 2 mM CaCl2. After 1 hour at room temperature, a slice was transferred to the submersion recording chamber (30°C).
Individual CA1 pyramidal cells were visualized with an upright microscope (Zeiss, Examiner.D1). The patch pipette (4–6 MΩ) was filled with an internal solution containing 40 mM CsCl, 90 mM K-gluconate, 1.8 mM NaCl, 1.7 mM MgCl2, 3.5mM KCl, 0.05 mM EGTA, 10 mM HEPES, 2 mM MgATP, 0.4 Na2GTP, 10 mM phosphocreatine (pH 7.3), and 290 mOsm. Signals were amplified and filtered at 3k Hz with Bessel filter (MultiClamp 700B, Molecular Devices) and were then digitized at 10 kHz with a Digidata 1440A (Molecular Devices).
Spontaneous inhibitory currents (sIPSC) was recorded at –70 mV in the presence of NBQX (10 μM) and D-AP5 (50 μM). TGOT (1 μM, 2 minutes; Bachem) was bath applied. sIPSC amplitude and frequency were detected using Minianalysis (Synaptosoft) for 2 minutes each before TGOT and during peak sIPSC activity after TGOT.
Accession numbers. Oxtr mRNA isoform sequencing data has been deposited in GenBank under accession numbers KU686795-KU686801. RNA-seq and DNA methylome data have been deposited in GEO under accession number GSE99674.
Statistics. The data were analyzed with SPSS 21 (SPSS Inc.) or GraphPad Prism and expressed as mean ± SEM. Simple comparisons between Tet1Δe4–/– and Tet1+/+ mice without regard to sex were conducted with independent t tests (Student’s t test, 2-tailed). For behavioral data, when comparisons between genotypes were made for within-subject measurements across different phases of the same test (e.g., test days, locations within a test arena, or different intensities of stimuli), the data were analyzed with repeated measures 2-way ANOVA (RMANOVA). For 2-way RMANOVAs, a Tukey’s correction for multiple comparisons was applied for post-hoc analysis. Statistical significance was defined as P < 0.05. Sample sizes were based on previous experience with similarly designed experiments.
Study approval. All experiments were conducted with protocols approved by the IACUC at Duke University. The animal studies presented in this paper have been approved by Duke Animal Care Committee with protocol number of A137-17-06.
AJT, XL, XK, and YJ conceived the experiments. AJT, XL, and XW created the Tet1 mice and ESCs. AJT, MWT, XC, XW, SX, and YK performed the molecular experiments. PW analyzed the RNA-seq data. WZ and WX performed the methylome experiment. AJT, ALB, LJD, and SKS performed behavioral experiments and ALB performed the statistical analyses. LC performed the slice physiology. AJT, MWT, SG, and YJ wrote the manuscript.
We would like to thank Ute Hochgeschwender for assistance with mouse production, William Wetsel and Ramona Rodriguiz for help with behavioral tests, Anne West for Bdnf and Homer1a primers, and Angel Peterchev for assistance with the ECS experiment. YHJ was supported by NIH grants MH098114, MH104316, HD077197, HD088626, and HD088007, as well as awards from Autism Speaks, and the Ruth K. Broad Foundation. XW was supported by a fellowship from the PMS Foundation. ALB was supported by the Ruth K. Broad and Autism Science Foundations and Duke MSTP T32 GM007171. MWT was supported by Duke Genomics and Genetics training grant T32 GM007754 and Marcy Speer Memorial Fellowship.
Address correspondence to: Yong-hui Jiang, Departments of Pediatrics and Neurobiology, Duke University School of Medicine, GSRB1 4004, 905 S. LaSalle Street, Durham, North Carolina 27710, USA. Phone: 919.681.2789; Email:yong-hui.jiang@duke.edu.
Conflict of interest: The authors have declared that no conflict of interest exists.
License: Copyright 2018, American Society for Clinical Investigation.
Reference information: JCI Insight. 2018;3(23):e120592. https://doi.org/10.1172/jci.insight.120592.