Skip to main content
PLOS One logoLink to PLOS One
. 2013 Jun 13;8(6):e65241. doi: 10.1371/journal.pone.0065241

Hypomethylation of Serum Blood Clot DNA, but Not Plasma EDTA-Blood Cell Pellet DNA, from Vitamin B12-Deficient Subjects

Eoin P Quinlivan 1,*,#, Krista S Crider 2,#, Jiang-Hui Zhu 3, David R Maneval 4, Ling Hao 5, Zhu Li 6, Sonja A Rasmussen 2, R J Berry 2, Lynn B Bailey 7
Editor: Guoliang Xu8
PMCID: PMC3681792  PMID: 23785415

Abstract

Vitamin B12, a co-factor in methyl-group transfer, is important in maintaining DNA (deoxycytidine) methylation. Using two independent assays we examined the effect of vitamin B12-deficiency (plasma vitamin B12<148 pmol/L) on DNA methylation in women of childbearing age. Coagulated blood clot DNA from vitamin B12-deficient women had significantly (p<0.001) lower percentage deoxycytidine methylation (3.23±0.66%; n = 248) and greater [3 H]methyl-acceptance (42,859±9,699 cpm; n = 17) than DNA from B12-replete women (4.44±0.18%; n = 128 and 26,049±2,814 cpm; n = 11) [correlation between assays: r = –0.8538; p<0.001; n = 28]. In contrast, uncoagulated EDTA-blood cell pellet DNA from vitamin B12-deficient and B12-replete women exhibited similar percentage methylation (4.45±0.15%; n = 77 vs. 4.47±0.15%; n = 47) and [3 H]methyl-acceptance (27,378±4,094 cpm; n = 17 vs. 26,610±2,292 cpm; n = 11). Therefore, in simultaneously collected paired blood samples, vitamin B12-deficiency was associated with decreased DNA methylation only in coagulated samples. These findings highlight the importance of sample collection methods in epigenetic studies, and the potential impact biological processes can have on DNA methylation during collection.

Introduction

Deoxycytidine methylation (dC → 5 mdC) patterns are transmitted through the germ line [1] and occur primarily at the 5′-dC of the 5′-deoxycytidine-deoxyguanosine-3′ (CpG) motif in somatic cells [2], [3], [4]. Methylation of transcriptional start sites can regulate gene expression [5] by directly inhibiting transcription factor binding [6] and by initiating chromatin recruitment [7]. This suppression may play a critical role in regulating autosomal gene inheritance [8], X-chromosome inactivation [9], [10], and inactivation of repetitive elements [10], [11], [12] such as long interspersed nuclear elements (LINEs), endogenous retroviruses, and satellite sequences which comprise ∼35% of the genome [13]. Conversely, methylation of the gene body [14], [15], [16] and subsequent chromatin recruitment may promote transcription [17]. Centromere methylation may increase chromosomal stability [18], [19], while the greater methyl-density [3], [20] and nucleosome-occupancy [21] found in exons, and the sharp transition in methyl-density at the intron-exon boundary [3], [20], may act as a marker for splicing [22].

Differences in epigenetic patterns between individuals with similar genetic backgrounds may account for differences in health outcomes [23], [24], [25] and, as a consequence, can contribute to the etiology of numerous health-related conditions including infertility, stroke, atherosclerosis, obesity, insulin resistance, kidney disease, cancer, neural tube defects and autoimmunity [26], [27], [28], [29], [30], [31]. Meanwhile, nutritional alteration of the epigenome in utero may be persistent [32], [33], [34] and may contribute to the health [34], [35], [36], [37] of the offspring in later life. The methyl-groups used for DNA methylation [38], [39] are derived from preformed dietary sources (choline, betaine, methionine) or are generated de novo via the folate cycle (Fig. 1) – with vitamin B12 (cobalamin) acting as co-factor in the transfer of methyl-groups from the folate cycle to the methylation cycle. Data from a number of small-scale human studies [40], [41], [42] suggest that folate depletion and/or repletion can affect DNA methylation in peripheral blood cells. Likewise, Friso et al. [43] reported that methylenetetrahydrofolate reductase (MTHFR) 677 C→T homozygous subjects with a sub-optimum folate status had significantly less 5-methyldeoxycytidine (5 mdC) than wild-genotype subjects (regardless of folate status) or folate-replete homozygous subjects. Our research group previously reported differences in DNA methylation level between DNA isolated from coagulated blood clots (which exhibited decreased 5 mdC) vs. uncoagulated EDTA-blood cell pellets (which exhibited no change in 5 mdC) that were dependent on folic acid supplementation and the discontinuation of supplementation in a population-based trial of folic acid supplementation [44].

Figure 1. Schematic of the One-Carbon cycle.

Figure 1

Vitamin B12 is a co-factor in the transfer of methyl-groups (CH3−) from folate to methionine for use in situ methylation of deoxycytidine (dC) to in 5-methyldeoxycytidine (5 mdC) in DNA. Choline, betaine and methionine can be derived from the diet or synthesized in vivo. SAM: S-adenosylmethionine; SAH: S-adenosylhomocysteine.

In humans, prolonged vitamin B12-deficiency can result in numerous clinical ramifications including nerve damage, anemia, digestive and cognitive problems [45]. Additionally, vitamin B12-deficiency might be a risk factor for neural tube defects [46], [47]. Despite the important role vitamin B12 plays in one-carbon metabolism (Fig. 1) and DNA methylation, relatively little has been reported on the effect of vitamin B12-deficiency on DNA methylation. Rodents fed vitamin B12-deficient diets [48], [49], [50] or a diet deficient in several B-vitamins [51] exhibited decreased DNA methylation. In a single case study, Smulders et al. [52] reported that DNA methylation increased 22% in a vitamin B12-deficient human after vitamin B12 intervention.

The primary objective of the present study was to describe the effect of vitamin B12-deficiency on global DNA methylation in a female Northern Chinese population of reproductive age. This population has a high (∼21%) prevalence of vitamin B12-deficiency (<148 pmol/L) [53], [54].

Methods

Ethics Statement

Participants provided oral informed consent. This was permissible as the study posed no more than minimal risk of harm to the participant and was documented with a signature of the consenting investigator as was culturally appropriate for the research setting and involved no procedure for which written consent was normally required outside of a research setting. The study and consent procedures including a waiver for the documentation of informed consent as set forth in 45CFR46.117(c) were approved by the Centers for Disease Control and Prevention Institutional Review Board and the Ethical Committee on Biomedical Research Involving Human Subjects of the Health Science Center, Peking University. The samples used in this study were screening samples from a folic acid intervention study [44], [55], [56] - the screening/baseline samples were used to identify suitable subjects who met the inclusion criteria to participate in the intervention study (the intervention trial is registered at clinicaltrials.gov: NCT00207558). No intervention was performed on the subjects prior to collection of the samples used for this manuscript.

All of the vitamin B12-deficient (plasma vitamin B12<148 pmol/L) subjects, identified from the screening samples, were excluded from participation in the subsequent intervention trial and were referred for treatment.

Setting and Inclusion Criteria for Participants

Women were recruited from six townships of Xianghe County, Hebei Province, in Northern China, for a population-based folic acid intervention study [44], [55], [56]. Participants were not exposed to dietary sources of folic acid since folic acid-fortified foods were not available in China. Eligibility requirements included: residence in the townships; not pregnant or breastfeeding, and not plan to become pregnant in the next 9 months; use an IUD for contraception; have a child 2–4 y of age; have no chronic diseases; no supplement use within the last 3 months, and no current prescription medication use [55].

Blood Collection Procedures

Fasting blood samples from each participant were collected into 7 ml tubes with EDTA, and 3 ml tubes containing no anticoagulants (Vacutainer; Becton Dickinson).

Coagulated blood clots (blood clots) were prepared by allowing the blood tubes, containing no anticoagulant, to stand at room temperature for 1–2 hours, as previously described [44]. Sera were separated by centrifugation at 2000 × g for 15 minutes at 4°C. After the sera were removed the blood clots were frozen and stored at −20°C.

Uncoagulated blood cell pellets (EDTA-blood cell pellets) were prepared within 1 hour of collection by centrifuging the EDTA blood tubes at 2,000 × g for 15 minutes at 4°C. After the plasma was removed the uncoagulated EDTA-blood cell pellet was frozen at −20°C.

Blood clots and EDTA-blood cell pellets were stored at −20°C before being transported on dry ice to the central laboratory of Peking University Health Science Center where they were stored at −70°C.

Biochemical Characteristics

Plasma vitamin B12 was measured in duplicate samples by using the Quantaphase II radioassay (Bio-Rad Laboratories; Product # 191–1044). Subjects were characterized as vitamin B12-deficient (plasma vitamin B12<148 pmol/L; n = 305) or vitamin B12-replete (plasma vitamin B12>148 pmol/L; n = 1139).

Plasma and RBC folate concentrations were measured by microbiological assay [57] while plasma homocysteine was assayed by HPLC with fluorometric detection [58].

Sampling for % 5 mdC Analysis

Eligible subjects (n = 1,702) were enrolled in the study and provided blood samples. Subjects with B12-deficiency (<148 pmol/L) and clot DNA available were included as B12-deficient (n = 248). Subjects with normal B12 status (plasma B12>148 pmol/L) and normal hemoglobin concentration (>120 g/L) were included as non-deficient controls (n = 128) and were selected to have an even distribution of MTHFR genotypes as previously reported [44]. MTHFR TT genotype was not associated with global DNA methylation at enrollment in either the control [44] or B12-deficient participants (not shown) in clots and therefore was not controlled for statistically in these analyses.

Genomic DNA Extraction

Blood clots were shipped to the University of Florida on dry ice for genotyping and for percentage deoxycytidine methylation determination. After the initial blood clot % 5 mdC analysis was completed, a subset of the EDTA-blood cell pellets, which had been retained at the Peking University Health Science Center, was shipped on dry ice to the University of Florida for % 5 mdC analysis.

Genomic DNA was extracted from stored frozen blood clots or EDTA-blood cell pellets according to the manufacturer’s instructions using a commercially available blood DNA purification kit (Gentra Puregene, Qiagen, Valencia, CA). Samples were hydrated in TE buffer, and DNA concentration determined by fluorescent dye binding assay (Quant-iT, Invitrogen; Carlsbad, CA) and adjusted to 20 ng/µl. No systematic attempt was made to determine or compare DNA yield from each blood sample matrix. However, the amount of DNA extracted was within the expected range (based on the extraction kit handbook and experience extracting similar samples) and did not appear to differ between the two matrices, nor between vitamin B12-deficient or replete samples.

Percentage Deoxycytidine Methylation

After digesting the DNA to nucleosides [59] the concentrations of dC and 5 mdC were determined by LC-MS/MS using biosynthetic [15N3]dC and [15N3]5 mdC internal standards [60]. Percentage deoxycytidine methylation (% 5 mdC) was calculated as % 5 mdC = [5 mdC]/([dC]+[5 mdC])×100. Inter- and intra-assay variation (relative standard deviation; n = 6) for the assay was <2.5%.

Enzymatic [3H]Methyl-acceptance

The extent to which the CpG motif in DNA was unmethylated was determined by [3H]methyl-acceptance assay using a modification of the method of Balaghi and Wagner [61], as previously described [40].

Due to the large inter-assay variability reported [40] for the [3H]methyl-acceptance assay the number of DNA samples analyzed was limited to the number that could be assayed within a single assay. Consequently, 17 pairs of DNA from vitamin B12-deficient subjects and 11 pairs from vitamin B12-replete subjects were analyzed within the same assay. The vitamin B12-deficient paired samples were chosen (based on the %MdCyt results of their blood clot DNA) so as to give a range of DNA methylation levels.

Assay Comparison

Regression analysis was performed to determine the relationship between the [3H]methyl-acceptance and % 5 mdC blood clot DNA results. Data from the vitamin B12-deficient (n = 17) and replete (n = 11) groups were included in the regression analysis.

Statistical Analysis

Arithmetic means and standard deviations were calculated to compare participant characteristics. Paired t-tests were used to test for matrix effects within the vitamin B12-deficient or replete groups; pooled t-tests were used to test for differences between vitamin B12-deficient and replete groups. For all tests that did not reach statistical significance, power analyses [62] were conducted to estimate minimum detectable percentage difference in means (power >80%). All variables were log transformed to achieve normal distributions for regression analysis. Univariate and multivariate linear regression was conducted with SPSS (SPSS Inc. Released 2009. PASW Statistics for Windows, Version 18.0, Chicago: SPSS Inc.).

Results

Biochemical Characteristics

Physical and biochemical characteristics of the subjects included in this analysis are presented in (Table 1).

Table 1. Basic Biochemical Characteristics of Subjects.

B12-replete1 B12-deficient2
mean (SD) mean (SD) Pooled t-test
n 128 248
Age (y) 30.3 (4.0) 31.5 (4.1) 0.011
Body mass index (kg/m2) 24.0 (4.4) 24.1 (3.8) 0.704
Plasma vitamin B12 (pmol/L) 284 (106) 113 (28) <0.001
Plasma folate (nmol/L) 10.1 (4.9) 9.6 (5.7) 0.399
Red cell folate (nmol/L) 683 (315) 535 (224) <0.001
Total plasma homocysteine (µmol/L) 8.7 (5.6) 13.3 (11.0) <0.001
1

Subjects with plasma vitamin B12 more than 148 pmol/L.

2

Subjects with plasma vitamin B12 less than 148 pmol/L.

Percentage Deoxycytidine Methylation

Blood clot DNA exhibited a significantly lower (p<0.001) percentage deoxycytidine methylation (% 5 mdC) in vitamin B12-deficient samples compared to vitamin B12-replete samples (Table 2), such that there was little overlap in % 5 mdC between the vitamin B12-deficient and replete samples (Fig. S1). Reanalysis of different subsets of blood clot DNA from vitamin B12-deficient subjects over several months demonstrated (Fig. S2) the reproducibility of the % 5 mdC assay (r >0.9; p<0.001).

Table 2. Effect of vitamin B12-deficiency on % 5 mdC1 for DNA extracted from coagulated blood clots2 and uncoagulated EDTA-blood cell pellets3.

All Samples4 Matched Samples5
Blood clot Blood pellet Blood clot
n mean (SD) n mean (SD) mean (SD) Pooled t-test (p)
B12-replete6 128 4.44 (0.18) 47 4.47 (0.15) 4.45 (0.17) 0.451*
B12-deficient7 248 3.23 (0.66) 77 4.45 (0.15) 2.88 (0.86) <0.001
Paired t-test <0.001 0.367* <0.001
1

Methyldeoxycytidine as a percentage of total deoxycytidine in DNA digests, measured by LC-MS/MS (see Methods).

2

Post-centrifugation, blood clots were retained after serum was removed from serum blood tubes.

3

Post-centrifugation, blood cell pellets were retained after plasma was removed from EDTA-blood tubes.

4

Results for all assayed blood clot DNA.

5

Matched data for blood clot and EDTA-blood cell pellet DNA from the same subjects.

6

Subjects with plasma vitamin B12 more than 148 pmol/L.

7

Subjects with plasma vitamin B12 less than 148 pmol/L.

*

Power analysis: >80% confidence to detect a 2% difference in means [62].

Analysis of DNA extracted from EDTA-blood cell pellets detected no differences in % 5 mdC (Table 2) between the vitamin B12-deficient and replete subjects.

Enzymatic [3H]Methyl-acceptance Assays

Blood clot DNA from vitamin B12-deficient subjects exhibited significantly (p<0.001) greater [3H]methyl-acceptance than blood clot DNA from vitamin B12-replete subjects (Table 3). In contrast, there was no apparent difference in [3H]methyl-acceptance between the vitamin B12-deficient EDTA-blood cell pellet DNA and either the vitamin B12-replete blood clot or EDTA-blood cell pellet DNA.

Table 3. Effect of vitamin B12-deficiency on % 5 mdC1 and [3 H]methyl-acceptance capacity2 for DNA extracted from coagulated blood clots3 and uncoagulated EDTA-blood cell pellets4.

% 5 mdC [3 H]methyl-acceptance (cpm/250 ng)
[mean (SD)] [mean (SD)]
n Clot DNA Pellet DNA Paired t-test Clot DNA Pellet DNA Paired t-test
B12-replete5 11 4.41 (0.12) 4.44 (0.12) 0.311* 26,049 (2,814) 26,610 (2,292) 0.626**
B12-deficient6 17 2.63 (1.16) 4.33 (0.16) <0.001 42,859 (9,699) 27,378 (4,094) <0.001
Pooled t-test <0.001 0.070* <0.001 0.577***
1

Methyldeoxycytidine as a percentage of total deoxycytidine in DNA digests, measured by LC-MS/MS (see Methods).

2

Capacity of DNA to incorporate [3 H] from [3 H-methyl]SAM (cpm incorporated per 250 ng DNA) in the presence of Sssi DNA methyltransferase (see Methods).

3

Post-centrifugation, blood clots were retained after serum was removed from plain blood tubes.

4

Post-centrifugation, blood pellets were retained after plasma was removed from EDTA blood tubes.

5

Subjects with plasma vitamin B12>148 pmol/L.

6

Subjects with plasma vitamin B12<148 pmol/L.

Power analysis: >80% power to detect a *4%, **10%, or ***15% difference in means [62].

Assay Comparison

When % 5 mdC and [3H]methyl-acceptance results, for blood clot DNA (17 vitamin B12-deficient and 11 vitamin B12-replete samples), were plotted against each other (Fig. 2) a significant inverse correlation (r = –0.8538; p<0.001; n = 28) was observed.

Figure 2. Plot of % 5-methyldeoxycytidine versus [3H]methyl-acceptance capacity of DNA extracted from coagulated blood clots.

Figure 2

DNA samples were from (•) vitamin B12-deficient (plasma vitamin B12<148 pmol/L) or (□) vitamin B12-replete subjects (plasma vitamin B12>148 pmol/L). % 5-methyldeoxycytidine: 5-methyldeoxycytidine as a percentage of total deoxycytidine in DNA digests as measured by LC-MS/MS (see Methods). [3 H]Methyl-acceptance: [3 H] (cpm) from [3 H-methyl]SAM incorporated into 250 ng of DNA in the presence of Sssi DNA methyltransferase.

Linear Regression

To further explore the decrease in % DNA methylation observed in the B12-deficient participants’ coagulated samples, univariate and multivariate linear regression was used (n = 248). Factors examined included: plasma vitamin B12 concentration (within deficiency), RBC folate concentrations, hemoglobin, age, body mass index (BMI) and homocysteine concentration. In multivariate linear regression models, DNA methylation level was only statistically significantly associated with homocysteine (p = 0.04; β = −0.145) and hemoglobin concentrations (p = 0.002; β = −0.210).

Discussion

We observed a significantly different response to vitamin B12-deficiency in the two simultaneously collected blood sample matrices (blood clot vs. EDTA-blood cell pellet) studied; namely, blood clot DNA exhibited hypomethylation, while EDTA-blood cell pellet DNA did not. The extent (Table 2) and range (Fig. 2, Fig. S1) of DNA hypomethylation observed were of a similar magnitude to that previously reported [43] in elderly humans, and were comparable to those observed in rodents fed vitamin B12-deficient [48], [49], [50] or multivitamin-deficient [51] diets. The differences in DNA methylation between the two sample matrices were confirmed using two independent measures of DNA methylation: a quantitative determination of the extent dC methylation (the % 5 mdC assay) and a qualitative determination of non-methylated CpG (the [3 H]methyl-acceptance assay).

We reported a similar effect of sample matrix on % 5 mdC in the healthy (non-anemic, non-B12-deficient) participants following folic acid supplementation and discontinuation of supplementation [44]; DNA extracted from blood clots exhibited significant changes in % 5 mdC, while EDTA-blood cell pellet DNA, collected at the same time from the same subjects, exhibited no change in % 5 mdC. In the present study, we were able to extensively validate (Table 3; Fig. 2) these % 5 mdC results by comparing the results with those obtained using an independent assay ([3 H]methyl-acceptance assay). Additionally, we found that this phenomenon occurs in response to another perturbation to one-carbon metabolism – vitamin B12-deficiency.

This disparity in response between the two blood sample matrices is of concern as it suggests that sample collection may have as significant an impact on apparent DNA methylation as in vivo biochemical conditions. While we examined only two sample matrices, coagulated blood clots and uncoagulated EDTA-blood cell pellets, questions must be asked whether DNA methylation is as labile in other blood matrices (e.g., whole blood, blood spots), using other anticoagulants (e.g., citrate, heparin), in other tissue types (e.g., cell biopsies, cell culture, buccal cells) or using different sample preparation techniques. This effect should be taken into consideration when comparing epigenetic markers that were determined using different methods.

The difference in % 5 mdC between sample matrices, cannot be explained by a difference in DNA quality (e.g., denatured, fragmented), as the DNA is digested to nucleosides as part of the assay, and so is independent of DNA quality. Poor DNA quality can decrease [3 H]methyl-acceptance (as the enzyme only methylates double stranded DNA). If the EDTA-blood clot DNA was hypomethylated, a decrease in DNA quality might explain why the [3 H]methyl-acceptance was not elevated. However, the magnitude of the decrease in DNA quality would have to be just enough so that the [3 H]methyl-acceptance appeared normal (Table 3), and would not explain the % 5 mdC result.

The extensive use of the [3 H]methyl-acceptance assay in this study, and the inverse correlation (r = –0.8538; p<0.001) observed between it and the % 5 mdC assay (Fig. 2) provides important information about the samples. Firstly, it independently confirms the results of the % 5 mdC assay: that blood clot DNA from vitamin B12-deficient subjects appears hypomethylated, while EDTA-blood cell pellet DNA from the same subjects does not. Secondly, it suggests that the difference in methylation between the sample matrices is primarily due to interconversion between dC and 5 mdC; rather than the simple loss or gain of 5 mdC, or the modification of 5 mdC (e.g., to 5-hydroxymethyl-dC (5 hmdC) [63], [64]). Whether dC↔5 mdC interconversion occurred in vivo or during sample collection and processing is not clear.

Possible Mechanisms for the Differences in Methylation Observed between Sample Matrices

Difference in blood cell composition between blood sample matrixes

The DNA methylation is similar in mononuclear and polynuclear peripheral blood cells [65], and in the white blood cell population as a whole. Therefore, differences in nucleated cell populations between the blood clot and EDTA-blood cell pellet are unlikely to explain the differences in DNA methylation.

DNA methylation became altered in the EDTA-blood cell pellet

Use of EDTA as anticoagulant may have inadvertently triggered DNA ‘remethylation’: By scavenging metal cations EDTA may decreased inhibition of the DNA methyltransferases [66]. Chelation of magnesium by EDTA may also decrease interaction between DNMT3L and the DNA methyltransferases [67], changing the mode of DNA methylation from processive to distributive [68], [69].

However, it is not clear where the methyl-groups needed to ‘remethylate’ the DNA would come from: The human genome is comprised of an estimated 6.16×109 bases [70] of which ∼1.25×109 (∼2.1×10−15 moles) are dC [71]. To methylate 1% of the dC to 5mdC (e.g., to elevate the mean % 5 mdC from 3.4% to 4.4%) would require 2.1×10−17 moles of SAM per cell. Ignoring all the other methyltransferase reaction in leukocytes [72], this is 4.5 times greater than the SAM concentration in lymphocyte (4.7×10−18 moles/cells*) [73] and exceeds the SAM synthesis rate in mononuclear blood cells (∼2×10−17 mol/hr/cell) [74], [75], [76]. This imbalance between SAM usage and availability may be particularly acute in vitamin B12-deficiency as the activity of both methionine synthase [77], [78], [79], [80] and SAM synthase [78] may be decreased, thereby decreasing SAM concentrations [78], [80].

[*NOTE: there is a typographical error in [Table 3] of Reference [73] – the SAM concentration should read ‘pmol/106’ cells, not ‘nmol/106’ (S.J. James, personal communication).].

DNA methylation became altered in the blood clot

Several pathways [Fig 3] have been proposed to explain the active conversion of 5 mdC to dC observed in embryogenesis [81], [82], in some cancers [83], and during reactivation of epigenetically suppressed or imprinted genes [84], [85], [86]. Some of these reactions (5 mdC deaminase (Fig. 3; Reaction 3) [84], [87] and 5 hmdC dehydroxymethylase (Fig. 3; Reaction 5) [88], [89] only occur at low SAM concentrations suggesting that DNA demethylation may have occur only in vitamin B12-deficient clots. Alternatively, DNA demethylation and remethylation may be ubiquitous in all blood clots, but the methylation capacity of vitamin B12-deficient cells may have been insufficient [90] to restore normal DNA methylation levels.

Figure 3. Putative mechanisms for the conversion of 5 mdC to dC in DNA.

Figure 3

Reactions: 1) 5 mdC nucleases [91]; 2) 5 mdC glycosylase [92], [93], [94]; 3) 5 mdC deaminase [84], [87], [95], [96]; 4) thymine-DNA glycosylases [97]; 5) 5 mdC hydroxylase [63], [64]; 6) 5 hmC glycosylase [98]; 7) AP endonuclease/phosphodiesterase [99], [100]; 8) DNA polymerase/DNA ligase [100]; 9) 5 hmdC dehydroxymethylase [88], [89]; 10) DNA demethylase [101], [102], [103].

Conclusions

These findings raise questions concerning whether DNA methylation can be influenced by the sample collection method. In addition to the two blood matrices described, these findings might have implications for other tissue types. If vitamin B12-deficiency causes DNA hypomethylation in vivo this level of hypomethylation would have clear epigenetic implications. Moreover, this study suggests that the hypomethylation observed in blood clot DNA (whether it is representative of in vivo methylation or not) might be a good biomarker for perturbations to the methylation cycle and has possible implications for the health impacts of alterations in one-carbon metabolism.

Supporting Information

Figure S1

Percentage 5-methyldeoxycytidine in blood clot DNA. DNA from (◊) vitamin B12-replete (plasma vitamin B12>148 pmol/L) and (♦) vitamin B12-deficient (plasma vitamin B12<148 pmol/L) subjects. Hashmarks to the outside of each group represent mean ± SD. Spacing along the X-axis is used only to show individual data points. See Text for further detail.

(PDF)

Figure S2

Reproducibility of the 5-methyldeoxycytidine LC-MS/MS assay. Subsets of blood clot DNA from vitamin B12-deficient subjects (plasma vitamin B12<148 pmol/L) were analyzed at different times over a two-year period and compared to results from the primary (n = 248) DNA assay. % 5-methyldeoxycytidine: 5-methyldeoxycytidine as a percentage of total deoxycytidine in DNA digests as measured by LC-MS/MS (see Methods). The broken line represents unity (X = Y). See Text for further details.

(PDF)

Acknowledgments

Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Funding Statement

Funding for this study was provided by a cooperative agreement from BDB/DBDDD/NCBDDD/CDC (Birth Defects Branch, Division of Birth Defects and Developmental Disabilities, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention). This work was supported in part by the NIH/NCATS Clinical and Translational Science Award to the University of Florida (UL1 TR000064). As a part of a public health scientific agency, CDC employees were directly involved in the study design, analysis, decision to publish and preparation of the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Anway MD, Cupp AS, Uzumcu M, Skinner MK (2005) Epigenetic Transgenerational Actions of Endocrine Disruptors and Male Fertility. Science 308: 1466–1469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Lister R, Pelizzola M, Dowen RH, Hawkins RD, Hon G, et al. (2009) Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462: 315–322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Laurent L, Wong E, Li G, Huynh T, Tsirigos A, et al. (2010) Dynamic changes in the human methylome during differentiation. Genome Research 20: 320–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Ziller MJ, Müller F, Liao J, Zhang Y, Gu H, et al. (2011) Genomic Distribution and Inter-Sample Variation of Non-CpG Methylation across Human Cell Types. PLoS Genet 7: e1002389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Zhang Z, Liu J, Kaur M, Krantz ID (2012) Characterization of DNA methylation and its association with other biological systems in lymphoblastoid cell lines. Genomics 99: 209–219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Hsieh CL (1994) Dependence of transcriptional repression on CpG methylation density. Molecular and Cellular Biology 14: 5487–5494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Razin A (1998) CpG methylation, chromatin structure and gene silencing-a three-way connection. EMBO J 17: 4905–4908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Bartolomei MS, Tilghman SM (1997) Genomic imprinting in mammals. Annual Review of Genetics 31: 493–525. [DOI] [PubMed] [Google Scholar]
  • 9. Heard E, Clerc P, Avner P (1997) X-CHROMOSOME INACTIVATION IN MAMMALS. Annual Review of Genetics 31: 571–610. [DOI] [PubMed] [Google Scholar]
  • 10. Yoder JA, Walsh CP, Bestor TH (1997) Cytosine methylation and the ecology of intragenomic parasites. Trends in Genetics 13: 335–340. [DOI] [PubMed] [Google Scholar]
  • 11. Walsh CP, Chaillet JR, Bestor TH (1998) Transcription of IAP endogenous retroviruses is constrained by cytosine methylation. Nat Genet 20: 116–117. [DOI] [PubMed] [Google Scholar]
  • 12. Jones PA, Takai D (2001) The Role of DNA Methylation in Mammalian Epigenetics. Science 293: 1068–1070. [DOI] [PubMed] [Google Scholar]
  • 13. Smit A (1996) The origin of interspersed repeats in the human genome. Current Opinion in Genetics & Development 6: 743–748. [DOI] [PubMed] [Google Scholar]
  • 14. Wolf SF, Jolly DJ, Lunnen KD, Friedmann T, Migeon BR (1984) Methylation of the hypoxanthine phosphoribosyltransferase locus on the human X chromosome: implications for X-chromosome inactivation. Proceedings of the National Academy of Sciences 81: 2806–2810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Hellman A, Chess A (2007) Gene Body-Specific Methylation on the Active X Chromosome. Science 315: 1141–1143. [DOI] [PubMed] [Google Scholar]
  • 16. Larsen F, Gundersen G, Lopez R, Prydz H (1992) CpG islands as gene markers in the human genome. Genomics 13: 1095–1107. [DOI] [PubMed] [Google Scholar]
  • 17. Jones PA (1999) The DNA methylation paradox. Trends in Genetics 15: 34–37. [DOI] [PubMed] [Google Scholar]
  • 18. Xu GL, Bestor TH, Bourc'his D, Hsieh CL, Tommerup N, et al. (1999) Chromosome instability and immunodeficiency syndrome caused by mutations in a DNA methyltransferase gene. Nature 402: 187–191. [DOI] [PubMed] [Google Scholar]
  • 19. Chen RZ, Pettersson U, Beard C, Jackson-Grusby L, Jaenisch R (1998) DNA hypomethylation leads to elevated mutation rates. Nature 395: 89–93. [DOI] [PubMed] [Google Scholar]
  • 20. Hodges E, Smith AD, Kendall J, Xuan Z, Ravi K, et al. (2009) High definition profiling of mammalian DNA methylation by array capture and single molecule bisulfite sequencing. Genome Research 19: 1593–1605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Schwartz S, Meshorer E, Ast G (2009) Chromatin organization marks exon-intron structure. Nat Struct Mol Biol 16: 990–995. [DOI] [PubMed] [Google Scholar]
  • 22. Zhou Y, Lu Y, Tian W (2012) Epigenetic features are significantly associated with alternative splicing. BMC Genomics 13: 123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Eckhardt F, Beck S, Gut IG, Berlin K (2004) Future potential of the Human Epigenome Project. Expert Rev Mol Diagn 4: 609–618. [DOI] [PubMed] [Google Scholar]
  • 24. Fraga MF, Ballestar E, Paz MF, Ropero S, Setien F, et al. (2005) From The Cover: Epigenetic differences arise during the lifetime of monozygotic twins. PNAS 102: 10604–10609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Bjornsson HT, Sigurdsson MI, Fallin MD, Irizarry RA, Aspelund T, et al. (2008) Intra-individual change over time in DNA methylation with familial clustering. JAMA 299: 2877–2883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Brena RM, Costello JF (2007) Genome-epigenome interactions in cancer. Hum Mol Genet 16: R96–105. [DOI] [PubMed] [Google Scholar]
  • 27. Wilson AS, Power BE, Molloy PL (2007) DNA hypomethylation and human diseases. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 1775: 138–162. [DOI] [PubMed] [Google Scholar]
  • 28. Wilkinson LS, Davies W, Isles AR (2007) Genomic imprinting effects on brain development and function. Nat Rev Neurosci 8: 832–843. [DOI] [PubMed] [Google Scholar]
  • 29. Gluckman PD, Hanson MA, Buklijas T, Low FM, Beedle AS (2009) Epigenetic mechanisms that underpin metabolic and cardiovascular diseases. Nat Rev Endocrinol 5: 401–408. [DOI] [PubMed] [Google Scholar]
  • 30. Hammoud SS, Nix DA, Hammoud AO, Gibson M, Cairns BR, et al. (2011) Genome-wide analysis identifies changes in histone retention and epigenetic modifications at developmental and imprinted gene loci in the sperm of infertile men. Human Reproduction 26: 2558–2569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Juriloff DM, Harris MJ (2000) Mouse models for neural tube closure defects. Human Molecular Genetics 9: 993–1000. [DOI] [PubMed] [Google Scholar]
  • 32. Heijmans BT, Tobi EW, Stein AD, Putter H, Blauw GJ, et al. (2008) Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proceedings of the National Academy of Sciences 105: 17046–17049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Tobi EW, Lumey LH, Talens RP, Kremer D, Putter H, et al. (2009) DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific. Human Molecular Genetics 18: 4046–4053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Hughes L, van den Brandt P, de Bruine A, Wouters K, Hulsmans S, et al. (2009) Early life exposure to famine and colorectal cancer risk: a role for epigenetic mechanisms. PLoS One 4: e7951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Xu MQ, Sun WS, Liu BX, Feng GY, Yu L, et al. (2009) Prenatal Malnutrition and Adult Schizophrenia: Further Evidence From the 1959–1961 Chinese Famine. Schizophrenia Bulletin 35: 568–576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Sinclair KD, Allegrucci C, Singh R, Gardner DS, Sebastian S, et al. (2007) DNA methylation, insulin resistance, and blood pressure in offspring determined by maternal periconceptional B vitamin and methionine status. Proceedings of the National Academy of Sciences 104: 19351–19356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Hughes LA, van den Brandt PA, Goldbohm RA, de Goeij AF, de Bruïne AP, et al. (2010) Childhood and adolescent energy restriction and subsequent colorectal cancer risk: results from the Netherlands Cohort Study. International Journal of Epidemiology 39: 1333–1344. [DOI] [PubMed] [Google Scholar]
  • 38. Finkelstein JD (1998) The metabolism of homocysteine: pathways and regulation. European Journal of Pediatrics 157: S40–S44. [DOI] [PubMed] [Google Scholar]
  • 39. Quinlivan EP, Davis SR, Shelnutt KP, Henderson GN, Ghandour H, et al. (2005) Methylenetetrahydrofolate Reductase 677C→T Polymorphism and Folate Status Affect One-Carbon Incorporation into Human DNA Deoxynucleosides. The Journal of Nutrition 135: 389–396. [DOI] [PubMed] [Google Scholar]
  • 40. Rampersaud GC, Kauwell GP, Hutson AD, Cerda JJ, Bailey LB (2000) Genomic DNA methylation decreases in response to moderate folate depletion in elderly women. The American Journal of Clinical Nutrition 72: 998–1003. [DOI] [PubMed] [Google Scholar]
  • 41. Shelnutt KP, Kauwell GPA, Gregory Iii JF, Maneval DR, Quinlivan EP, et al. (2004) Methylenetetrahydrofolate reductase 677C→T polymorphism affects DNA methylation in response to controlled folate intake in young women. The Journal of Nutritional Biochemistry 15: 554–560. [DOI] [PubMed] [Google Scholar]
  • 42. Jacob RA, Gretz DM, Taylor PC, James SJ, Pogribny IP, et al. (1998) Moderate folate depletion increases plasma homocysteine and decreases lymphocyte DNA methylation in postmenopausal women. Journal of Nutrition 128: 1204–1212. [DOI] [PubMed] [Google Scholar]
  • 43. Friso S, Choi SW, Girelli D, Mason JB, Dolnikowski GG, et al. (2002) A common mutation in the 5,10-methylenetetrahydrofolate reductase gene affects genomic DNA methylation through an interaction with folate status. Proceedings of the National Academy of Sciences 99: 5606–5611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Crider KS, Quinlivan EP, Berry RJ, Hao L, Li Z, et al. (2011) Genomic DNA methylation changes in response to folic acid supplementation in a population-based intervention study among women of reproductive age. PLoS One 6: e28144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Moore E, Mander A, Ames D, Carne R, Sanders K, et al.. (2012) Cognitive impairment and vitamin B12: a review. Int Psychogeriatr: 1–16. [DOI] [PubMed]
  • 46.Hovdenak N, Haram K (2012) Influence of mineral and vitamin supplements on pregnancy outcome. Eur J Obstet Gynecol Reprod Biol. [DOI] [PubMed]
  • 47.Molloy AM, Kirke PN, Brody LC, Scott JM, Mills JL (2008) Effects of folate and vitamin B12 deficiencies during pregnancy on fetal, infant, and child development. Food Nutr Bull 29: S101–111; discussion S112–105. [DOI] [PubMed]
  • 48. Brunaud L, Alberto J, Ayav A, Gerard P, Namour F, et al. (2003) Effects of vitamin B12 and folate deficiencies on DNA methylation and carcinogenesis in rat liver. Clin Chem Lab Med 41: 1012–1019. [DOI] [PubMed] [Google Scholar]
  • 49. Brunaud L, Alberto J, Ayav A, Gerard P, Namour F, et al. (2003) Vitamin B12 is a strong determinant of low methionine synthase activity and DNA hypomethylation in gastrectomized rats. Digestion 68: 133–140. [DOI] [PubMed] [Google Scholar]
  • 50. Choi SW, Friso S, Ghandour H, Bagley PJ, Selhub J, et al. (2004) Vitamin B-12 Deficiency Induces Anomalies of Base Substitution and Methylation in the DNA of Rat Colonic Epithelium. The Journal of Nutrition 134: 750–755. [DOI] [PubMed] [Google Scholar]
  • 51.Liu Z, Choi SW, Crott JW, Keyes MK, Jang H, et al.. (2006) Mild depletion of vitamin B2, B6 and B12 superimposed on mild folate depletion: Effects on DNA methylation, uracil incorporation and gene expression in the mouse colon. AACR Meeting Abstracts 2006: 916-a-.
  • 52. Smulders YM, Smith DEC, Kok RM, Teerlink T, Swinkels DW, et al. (2006) Cellular folate vitamer distribution during and after correction of vitamin B12 deficiency: a case for the methylfolate trap. British Journal of Haematology 132: 623–629. [DOI] [PubMed] [Google Scholar]
  • 53. Hao L, Yang QH, Li Z, Bailey LB, Zhu JH, et al. (2008) Folate status and homocysteine response to folic acid doses and withdrawal among young Chinese women in a large-scale randomized double-blind trial. The American Journal of Clinical Nutrition 88: 448–457. [DOI] [PubMed] [Google Scholar]
  • 54. Hao L, Ma J, Zhu J, Stampfer MJ, Tian Y, et al. (2007) High Prevalence of Hyperhomocysteinemia in Chinese Adults Is Associated with Low Folate, Vitamin B-12, and Vitamin B-6 Status. The Journal of Nutrition 137: 407–413. [DOI] [PubMed] [Google Scholar]
  • 55. Hao L, Yang QH, Li Z, Bailey LB, Zhu JH, et al. (2008) Folate status and homocysteine response to folic acid doses and withdrawal among young Chinese women in a large-scale randomized double-blind trial. Am J Clin Nutr 88: 448–457. [DOI] [PubMed] [Google Scholar]
  • 56. Crider KS, Zhu JH, Hao L, Yang QH, Yang TP, et al. (2011) MTHFR 677C -> T genotype is associated with folate and homocysteine concentrations in a large, population-based, double-blind trial of folic acid supplementation. American Journal of Clinical Nutrition 93: 1365–1372. [DOI] [PubMed] [Google Scholar]
  • 57. O'Broin S, Kelleher B (1992) Microbiological Assay on Microtitre Plates of Folate in Serum and Red-Cells. Journal of Clinical Pathology 45: 344–347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Araki A, Sako Y (1987) Determination of Free and Total Homocysteine in Human-Plasma by High-Performance Liquid-Chromatography with Fluorescence Detection. Journal of Chromatography-Biomedical Applications 422: 43–52. [DOI] [PubMed] [Google Scholar]
  • 59. Quinlivan EP, Gregory JF 3rd (2008) DNA digestion to deoxyribonucleoside: a simplified one-step procedure. Anal Biochem 373: 383–385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Quinlivan EP, Gregory JF 3rd (2008) DNA methylation determination by liquid chromatography-tandem mass spectrometry using novel biosynthetic [U-15N]deoxycytidine and [U-15N]methyldeoxycytidine internal standards. Nucl Acids Res: gkn534. [DOI] [PMC free article] [PubMed]
  • 61. Balaghi M, Wagner C (1993) DNA Methylation in Folate Deficiency: Use of CpG Methylase. Biochemical and Biophysical Research Communications 193: 1184–1190. [DOI] [PubMed] [Google Scholar]
  • 62.Lenth RV (2006–9) Java Applets for Power and Sample Size Lenth, R. V.
  • 63. Ito S, D'Alessio AC, Taranova OV, Hong K, Sowers LC, et al. (2010) Role of Tet proteins in 5mC to 5hmC conversion, ES-cell self-renewal and inner cell mass specification. Nature 466: 1129–1133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Tahiliani M, Koh KP, Shen Y, Pastor WA, Bandukwala H, et al. (2009) Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1. Science 324: 930–935. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Wu H, Delgado-Cruzata L, Flom J, Kappil M, Ferris J, et al. (2011) Global methylation profiles in DNA from different blood cell types. Epigenetics 6: 76–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Suetake I, Miyazaki J, Murakami C, Takeshima H, Tajima S (2003) Distinct Enzymatic Properties of Recombinant Mouse DNA Methyltransferases Dnmt3a and Dnmt3b. Journal of Biochemistry 133: 737–744. [DOI] [PubMed] [Google Scholar]
  • 67. Kareta MS, Botello ZM, Ennis JJ, Chou C, Chédin F (2006) Reconstitution and Mechanism of the Stimulation of de Novo Methylation by Human DNMT3L. Journal of Biological Chemistry 281: 25893–25902. [DOI] [PubMed] [Google Scholar]
  • 68. Holz-Schietinger C, Reich NO (2010) The Inherent Processivity of the Human de Novo Methyltransferase 3A (DNMT3A) Is Enhanced by DNMT3L. Journal of Biological Chemistry 285: 29091–29100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Van Emburgh BO, Robertson KD (2011) Modulation of Dnmt3b function in vitro by interactions with Dnmt3L, Dnmt3a and Dnmt3b splice variants. Nucleic Acids Research. [DOI] [PMC free article] [PubMed]
  • 70. Human Genome Sequencing C (2004) Finishing the euchromatic sequence of the human genome. Nature 431: 931–945. [DOI] [PubMed] [Google Scholar]
  • 71. Russell GJ, Walker PMB, Elton RA, Subak-Sharpe JH (1976) Doublet frequency analysis of fractionated vertebrate nuclear DNA. Journal of Molecular Biology 108: 1–20. [DOI] [PubMed] [Google Scholar]
  • 72. Malinow M, Axthelm M, Meredith M, MacDonald N, Upson B (1994) Synthesis and transsulfuration of homocysteine in blood. J Lab Clin Med 123: 421–429. [PubMed] [Google Scholar]
  • 73. Melnyk S, Pogribna M, Pogribny IP, Yi P, James SJ (2000) Measurement of Plasma and Intracellular S-Adenosylmethionine and S-Adenosylhomocysteine Utilizing Coulometric Electrochemical Detection: Alterations with Plasma Homocysteine and Pyridoxal 5′-Phosphate Concentrations. Clinical Chemistry 46: 265–272. [PubMed] [Google Scholar]
  • 74. Kotb M, Kredich NM (1985) S-Adenosylmethionine synthetase from human lymphocytes. Purification and characterization. Journal of Biological Chemistry 260: 3923–3930. [PubMed] [Google Scholar]
  • 75. LeGros HL, Geller AM, Kotb M (1997) Differential Regulation of Methionine Adenosyltransferase in Superantigen and Mitogen Stimulated Human T Lymphocytes. Journal of Biological Chemistry 272: 16040–16047. [DOI] [PubMed] [Google Scholar]
  • 76. Dietz AA, Czebotar V (1977) Purine Metabolic Cycle in Normal and Leukemic Leukocytes. Cancer Research 37: 419–426. [PubMed] [Google Scholar]
  • 77. Yamada K, Kawata T, Wada M, Isshiki T, Onoda J, et al. (2000) Extremely Low Activity of Methionine Synthase in Vitamin B-12–Deficient Rats May Be Related to Effects on Coenzyme Stabilization Rather than to Changes in Coenzyme Induction. The Journal of Nutrition 130: 1894–1900. [DOI] [PubMed] [Google Scholar]
  • 78. Doi T, Kawata T, Tadano N, Iijima T, Maekawa A (1989) Effect of vitamin B12 deficiency on S-adenosylmethionine metabolism in rats. J Nutr Sci Vitaminol (Tokyo) 35: 1–9. [DOI] [PubMed] [Google Scholar]
  • 79. Hallam L, Sawyer M, Clark A, Van der Weyden M (1987) Vitamin B12-responsive neonatal megaloblastic anemia and homocystinuria with associated reduced methionine synthase activity. Blood 69: 1128–1133. [PubMed] [Google Scholar]
  • 80. Kennedy DG, Blanchflower WJ, Scott JM, Weir DG, Molloy AM, et al. (1992) Cobalt-Vitamin B-12 Deficiency Decreases Methionine Synthase Activity and Phospholipid Methylation in Sheep. The Journal of Nutrition 122: 1384–1390. [DOI] [PubMed] [Google Scholar]
  • 81. Mayer W, Niveleau A, Walter J, Fundele R, Haaf T (2000) Embryogenesis: Demethylation of the zygotic paternal genome. Nature 403: 501–502. [DOI] [PubMed] [Google Scholar]
  • 82. Oswald J, Engemann S, Lane N, Mayer W, Olek A, et al. (2000) Active demethylation of the paternal genome in the mouse zygote. Current Biology 10: 475–478. [DOI] [PubMed] [Google Scholar]
  • 83. Patra SK, Patra A, Zhao H, Dahiya R (2002) DNA methyltransferase and demethylase in human prostate cancer. Molecular Carcinogenesis 33: 163–171. [DOI] [PubMed] [Google Scholar]
  • 84. Metivier R, Gallais R, Tiffoche C, Le Peron C, Jurkowska RZ, et al. (2008) Cyclical DNA methylation of a transcriptionally active promoter. Nature 452: 45–50. [DOI] [PubMed] [Google Scholar]
  • 85. Bruniquel D, Schwartz RH (2003) Selective, stable demethylation of the interleukin-2 gene enhances transcription by an active process. Nat Immunol 4: 235–240. [DOI] [PubMed] [Google Scholar]
  • 86. Hajkova P, Erhardt S, Lane N, Haaf T, El-Maarri O, et al. (2002) Epigenetic reprogramming in mouse primordial germ cells. Mechanisms of Development 117: 15–23. [DOI] [PubMed] [Google Scholar]
  • 87. Kangaspeska S, Stride B, Metivier R, Polycarpou-Schwarz M, Ibberson D, et al. (2008) Transient cyclical methylation of promoter DNA. Nature 452: 112–115. [DOI] [PubMed] [Google Scholar]
  • 88. Liutkeviciute Z, Lukinavicius G, Masevicius V, Daujotyte D, Klimasauskas S (2009) Cytosine-5-methyltransferases add aldehydes to DNA. Nat Chem Biol 5: 400–402. [DOI] [PubMed] [Google Scholar]
  • 89. Chen CC, Wang KY, Shen CKJ (2012) The Mammalian de Novo DNA Methyltransferases DNMT3A and DNMT3B Are Also DNA 5-Hydroxymethylcytosine Dehydroxymethylases. Journal of Biological Chemistry 287: 33116–33121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90. Batra V, Sridhar S, Devasagayam TPA (2010) Enhanced one-carbon flux towards DNA methylation: Effect of dietary methyl supplements against γ-radiation-induced epigenetic modifications. Chemico-Biological Interactions 183: 425–433. [DOI] [PubMed] [Google Scholar]
  • 91. Steinberg RA (1995) Enzymic removal of 5-methylcytosine from poly(dG-5-methyl-dC) by HeLa cell nuclear extracts is not by a DNA glycosylase. Nucleic Acids Research 23: 1621–1624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Vairapandi M, Liebermann DA, Hoffman B, Duker NJ (2000) Human DNA-demethylating activity: A glycosylase associated with RNA and PCNA. Journal of Cellular Biochemistry 79: 249–260. [DOI] [PubMed] [Google Scholar]
  • 93. Vairapandi M (2004) Characterization of DNA demethylation in normal and cancerous cell lines and the regulatory role of cell cycle proteins in human DNA demethylase activity. Journal of Cellular Biochemistry 91: 572–583. [DOI] [PubMed] [Google Scholar]
  • 94. Kress C, Thomassin H, Grange T (2006) Active cytosine demethylation triggered by a nuclear receptor involves DNA strand breaks. Proceedings of the National Academy of Sciences 103: 11112–11117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Rai K, Huggins IJ, James SR, Karpf AR, Jones DA, et al. (2008) DNA Demethylation in Zebrafish Involves the Coupling of a Deaminase, a Glycosylase, and Gadd45. Cell 135: 1201–1212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Wijesinghe P, Bhagwat AS (2012) Efficient deamination of 5-methylcytosines in DNA by human APOBEC3A, but not by AID or APOBEC3G. Nucleic Acids Research. [DOI] [PMC free article] [PubMed]
  • 97. Neddermann P, Gallinari P, Lettieri T, Schmid D, Truong O, et al. (1996) Cloning and Expression of Human G/T Mismatch-specific Thymine-DNA Glycosylase. Journal of Biological Chemistry 271: 12767–12774. [DOI] [PubMed] [Google Scholar]
  • 98. Cannon SV, Cummings A, Teebor GW (1988) 5-hydroxymethylcytosine DNA glycosylase activity in mammalian tissue. Biochemical and Biophysical Research Communications 151: 1173–1179. [DOI] [PubMed] [Google Scholar]
  • 99. Demple B, Herman T, Chen DS (1991) Cloning and expression of APE, the cDNA encoding the major human apurinic endonuclease: definition of a family of DNA repair enzymes. Proceedings of the National Academy of Sciences 88: 11450–11454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Lindahl T (1993) Instability and decay of the primary structure of DNA. Nature 362: 709–715. [DOI] [PubMed] [Google Scholar]
  • 101. Bhattacharya SK, Ramchandani S, Cervoni N, Szyf M (1999) A mammalian protein with specific demethylase activity for mCpG DNA. Nature 397: 579–583. [DOI] [PubMed] [Google Scholar]
  • 102. Cervoni N, Bhattacharya S, Szyf M (1999) DNA Demethylase Is a Processive Enzyme. Journal of Biological Chemistry 274: 8363–8366. [DOI] [PubMed] [Google Scholar]
  • 103. Ramchandani S, Bhattacharya SK, Cervoni N, Szyf M (1999) DNA methylation is a reversible biological signal. Proceedings of the National Academy of Sciences 96: 6107–6112. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

Percentage 5-methyldeoxycytidine in blood clot DNA. DNA from (◊) vitamin B12-replete (plasma vitamin B12>148 pmol/L) and (♦) vitamin B12-deficient (plasma vitamin B12<148 pmol/L) subjects. Hashmarks to the outside of each group represent mean ± SD. Spacing along the X-axis is used only to show individual data points. See Text for further detail.

(PDF)

Figure S2

Reproducibility of the 5-methyldeoxycytidine LC-MS/MS assay. Subsets of blood clot DNA from vitamin B12-deficient subjects (plasma vitamin B12<148 pmol/L) were analyzed at different times over a two-year period and compared to results from the primary (n = 248) DNA assay. % 5-methyldeoxycytidine: 5-methyldeoxycytidine as a percentage of total deoxycytidine in DNA digests as measured by LC-MS/MS (see Methods). The broken line represents unity (X = Y). See Text for further details.

(PDF)


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES