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Age-Associated Activation of Epigenetically Repressed Genes in the Mouse
Pamela E. Bennett-Bakera, Jodi Wilkowskia, and David T. Burkeaa Department of Human Genetics, University of Michigan School of Medicine, Ann Arbor, Michigan 48109-0618
Corresponding author: David T. Burke, University of Michigan School of Medicine, 1241 E. Catherine St., Ann Arbor, MI 48109-0618., dtburke{at}umich.edu (E-mail)
Communicating editor: L. PILLUS
| ABSTRACT |
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Epigenetic control of gene expression is a consistent feature of differentiated mammalian cell types. Epigenetic expression patterns are mitotically heritable and are stably maintained in adult cells. However, unlike somatic DNA mutation, little is known about the occurrence of epigenetic change, or epimutation, during normal adult life. We have monitored the age-associated maintenance of two epigenetic systemsX inactivation and genomic imprintingusing the genes Atp7a and Igf2, respectively. Quantitative measurements of RNA transcripts from the inactive and active alleles were performed in mice from 2 to 24 months of age. For both genes, older animal cohorts showed reproducible increases in transcripts expressed from the silenced alleles. Loss of X chromosome silencing showed cohort mean increases of up to 2.2%, while imprinted-gene activation increased up to 6.7%. The results support the hypothesis that epigenetic loss of gene repression occurs in normal tissues and may be a contributing factor in progressive physiological dysfunction seen during mammalian aging. Quantitatively, the loss of epigenetic control may be one to two orders of magnitude greater than previously determined somatic DNA mutation.
DAMAGE to cellular information has been proposed to accumulate throughout life and to have an impact on the specificity and quality of physiological control (![]()
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1 in 10,000100,000 nucleotides in aging mice and humans (![]()
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The cumulative loss of gene regulation over timeand over many genesmay lead to the failures in cellular and tissue function seen during aging. Since thousands of genes are epigenetically silenced in each differentiated cell type, the unintended activation of these genes is likely to increase the gene expression "noise" within the cell. Although complex network systems are buffered to small changes in the signal-to-noise ratio of information, large amounts of informational noise are likely to have pleiotropic and negative effects (![]()
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In this report, we determine quantitative changes in epigenetic regulation in animals across normal life, using two well-studied mammalian epigenetic systems. Epigenetic regulation in aging mammals can be quantitatively measured using genes subject to X chromosome inactivation and genomic imprinting. In both regulatory systems, the two alleles of the gene are differentially expressed, with one homolog transcriptionally active and the other inactive. The inactive and active alleles (i) have an essentially identical genomic DNA sequence, (ii) coexist within a single cellular environment, (iii) are maintained in their activity states through mitosis, and (iv) produce mRNA transcripts of identical structure (![]()
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| MATERIALS AND METHODS |
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Animal stocks and handling:
The mouse translocation T(X;16)16H (abbreviated T16H) generates female animals having uniform inactivation of the normal (i.e., nontranslocated) X chromosome (![]()
RNA preparation, reverse transcription, and PCR:
Total RNA was prepared from frozen whole tissues using TRIZOL reagent (GIBCO BRL, Gaithersburg, MD) as described by the manufacturer. Total RNA was DNaseI treated prior to reverse transcription (![]()
Aliquots of cDNA products (12 µl) were amplified by the polymerase chain reaction (PCR). PCR primer sequences were as follows:
- AF: 5'-AGCAGCACATTAGCAACTTCT-3'
- AR: 5'-ACAGGAAACCTACGTATGACAA-3'
- P1: 5'-GCAGGGACAGTTCCATCAGGTCC-3'
- P2: 5'-CACACTAAGATCTCTCTGCTCCA-3'
- P3: 5'-TGATTTTGCCAATTGTTTTTAAGC-3'
The X-linked ATPase copper-transporting type 7a (Atp7a) gene was amplified with primers AF and AR using standard PCR conditions. The insulin growth factor-2 (Igf2) gene was amplified with either P1 and P3 or P2 and P3 using step-down PCR conditions (![]()
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Allelic expression primer-extension assays:
Primer-extension (PE) reactions were performed in 8-µl total volumes containing 100 fmol of an HPLC-purified, CY-5-labeled, oligonucleotide primer (Genosys, The Woodlands, TX), 25100 fmol DNA template, 25 µM of each nucleotide needed for the differential extension, 2 mM MgCl2, 10 mM Tris-HCl pH 8.8, 10 mM KCl, 0.002% Tween-20, and 0.64 units Thermo Sequenase (Amersham Pharmacia Biotech). Reactions were cycled as follows: 1 cycle of 95° for 2 min, 25 cycles of 95° for 30 sec, and 50°55° for 40 sec. Reactions were stopped with 4 µl loading dye, containing 0.5% blue dextran and 99.5% formamide, and stored at -20°. Primer sequences, annealing temperatures, and extension nucleotide combinations used in each primer extension were as follows:
- Atp7a: 5'-CTAACTATAGAGCTTGTTCTAAACT-3'; 50°; dCTP, dATP, ddTTP
- Igf2 (CB6F1): 5'-CCATCGGGCAAGGGGATCTCAGCA-3'; 55°; dATP, dTTP, ddCTP, ddGTP
- Igf2 (B6SpF1): 5'-AATTTTTAGATTATCAGTTATGGA-3'; 50°; dATP, dTTP, ddCTP, ddGTP
Extension products were resolved by 19% polyacrylamide gel electrophoresis on ALFexpress II (Amersham Pharmacia Biotech) automated sequencing systems. AlleleLinks software (v1.01) analyzed the CY-5 fluorescent signals captured during gel electrophoresis. The relative fluorescent signal for each of the two PE product peaks in a single lane was determined by assigning the largest peak the quantity of 10,000 and allowing the software to calculate the smaller peak quantity. Signal quantities were used to calculate the ratio of allelic transcripts in the original sample and are expressed as the quantity of the repressed allele/quantity of the active allele. Ratios from duplicate or triplicate PE reactions performed on each sample template were averaged to produce a mean expression ratio for each sample. The standard error of the mean (SEM) was calculated to describe the precision with which the triplicate reactions estimate the true mean expression ratio in each sample. The precision of a triplicate set of PE assays was expressed as a percentage of the mean: (SEM/mean) x 100.
The linear response range and allelic sensitivity of each PE assay were examined using a series of synthetic mixtures of the appropriate allelic templates. PCR was used to amplify large quantities of DNA fragments from the Atp7a and Igf2 genes from individual mice homozygous or hemizygous for each alleleic haplotype assayed in the PE. PCR products from the same genomic DNA template were pooled and gel purified. DNA fragments were quantified by UV spectrophotometry and diluted to 50 ng/µl. Each allele was then serially diluted and mixed with the second allele to produce ratio mixtures of 1:1, 1:5, 1:10, 1:50, 1:100, 1:250, 1:500, and 1:1000. Each ratio mixture was used as a template in the PE assay.
Statistical analysis:
The nonparametric Kruskal-Wallis ANOVA by ranks test was used to decide if differences between three or more cohorts were large enough to imply that the corresponding population means were different. When the Kruskal-Wallis test was significant (P
0.05), the nonparametric Mann-Whitney U-test was used for pairwise comparisons of cohorts to determine which pairs were significantly different. Since the Mann-Whitney U-test generates unique ranks for the observations in each pairwise comparison, the false-positive error rate can be controlled per comparison (![]()
| RESULTS |
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Quantitative assays for allelic mRNA expression:
A highly reproducible and precise measure of allelic mRNA species is necessary for examining gene expression from imprinted and X chromosomal loci. Of a variety of quantitative allelic assays currently in use, only primer-extension, also known as minisequencing, assays have been shown to be capable of achieving the relative quantitation of alleles in ratios of 1:100 or better (![]()
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1 part in 500) needed to detect age-associated changes in epigenetic control (Fig 2).
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A PE assay was designed using a polymorphism in the expressed sequence of the X-linked ATPase copper-transporting type7a (Atp7a) gene. A standard curve of the Atp7a PE analysis on allelic ratio mixtures shows a linear range of allelic sensitivity between 1:1 and 1:1000 (Fig 2). The 1:1000 points are not reproducibly distinguishable from the assay background determined on the pure allele template. The precision of three repetitions of the PE assay across the range of the standard curve shows an average of 5.1%, with a range of 1.912.4%. The precision values of the mean expression ratio on duplicate reverse-transcription reactions performed on the same RNA were within 6% (data not shown). Likewise, the precision values of the mean expression ratio by triplicate PCR reactions performed on the same cDNA were within 3% (P. E. BENNETT-BAKER and J. WILKOWSKI, data not shown). The PE assay for the imprinted gene Igf2 shows comparable levels of sensitivity and precision.
Age-associated loss of X inactivation in two experimental groups:
Gene expression from the inactive X chromosome as a function of age was examined in three cohorts of T16H female mice (T16H++/++Btkxid/J; abbreviated as J/X) at ages 2 months (n = 18), 13 months (n = 19), and 24 months (n = 16). Different-length primer-extension products distinguished Atp7a transcripts expressed from the active T16H X chromosome and the inactive X chromosome. Spleen and kidney RNA from each animal were reverse transcribed, and PCR amplified and analyzed for the ratio of allelic expression in triplicate PE reactions. In all animals, the dissected tissues showed no gross morphological changes or indications of overt tumors. The mean expression ratios of alleles from the inactive X chromosome (Xi) to the active X chromosome (Xa) were determined for each mouse in each J/X cohort group (Fig 3A and Fig B). Pairwise statistical comparisons of the cohorts yield P values <0.02 in all cases, confirming that each cohort has significantly different Atp7a allelic expression levels (Fig 4A and Fig B). In all comparisons, the older cohort has higher levels of expression from the inactive X chromosome than the corresponding younger cohort does. For the 13- and 24-month cohorts, there are no significant correlations in the activation status of Atp7a between spleen and kidney tissues derived from the same animal (13-month cohort, P = 0.286; 24-month cohort, P = 0.888).
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A second population of female animals with the T16H translocation genotype (T16H++/++Atp7aMo-blo, abbreviated as T/M) was obtained and animals were sacrificed in age-matched cohorts. The Atp7a mRNA polymorphism found in J/X mice is also present in the T/M mice and distinguishes between transcripts expressed from the active T16H X chromosome and the inactive X chromosome. Twenty-seven female T/M mice were analyzed in four cohorts: 2 months (n = 6), 10 months (n = 6), 18 months (n = 8), and 24 months (n = 7). Kidney RNA was isolated from each animal and mean expression ratios (Xi/Xa) were determined by triplicate primer-extension assays (Fig 3C). In all animals, the dissected tissues showed no gross morphological changes or indications of overt tumors. The distributions of the expression ratios for each cohort support an age-associated loss of epigenetic silencing. Pairwise comparisons of the cohorts (Fig 4C) show mean expression levels significantly different between the 2-month cohort and the 10-, 18-, and 24-month cohorts. In addition, the 10-month cohort is significantly different from the 18-month cohort. In all comparisons of significantly different cohorts, the older cohort had higher levels of gene expression from the inactive X chromosome (Fig 4C).
Age-associated loss of genomic imprinting in two experimental groups:
The autosomal imprinted locus Igf2 was examined for loss of epigenetic maintenance in populations of age-matched animals. CB6F1 hybrid mice, offspring of BALB/cJ female x C57BL/6J male parents, were obtained and divided into male and female, "young," and "old" cohorts. The young cohorts were sacrificed as 15 males and 15 females at 2 months of age. The old cohorts were sacrificed as 15 males at 18 months and females at 23 months (n = 13), 18 months (n = 1), and 20 months (n = 1). Total tissue RNA was prepared from heart, kidney, and lung. Duplicate PE assays were performed on each sample to determine the allelic expression ratio of Igf2 transcripts from the inactive allele, BALB/cJ, and the active allele, C57BL/6J. The population distributions of the expression ratios demonstrate tissue-specific and sex-specific activation patterns with age (Fig 5). With the exception of female kidney expression, each age-cohort comparison shows a higher level of the inactive allele at the older time point. Pairwise comparisons of young and old cohorts show a statistically significant and age-dependent increase in the expression of the inactive allele in heart and lung tissues. In kidney (Fig 5B) an increase in the expression of the repressed allele during aging is seen in the male CB6F1 samples; however, the effect occurs with a marginally significant P value (P = 0.08). The female CB6F1 kidney values differ significantly between the two age cohorts (P < 1.0 x 10-6), with a decrease in the expression of the repressed allele in the older cohort. However, the reactivation values for all of the female kidney samples are dramatically lower than those in any other tissue and approach the assay background levels. The age-associated change in the female cohort, therefore, is likely to be a reflection of fluctuations at the assay detection limit. There are no significant correlations in activation status of Igf2 among heart, lung, and kidney tissues derived from the same animal, regardless of age (all comparisons; P > 0.20).
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Last, a population of 64 C57BL6/J x Mus spretus F1 interspecies hybrid females, ages 226 months, was available for further study of Igf2 genomic imprinting status. Total RNA was prepared from heart, lung, and kidney tissue of each animal and examined for Igf2 allelic ratios using the PE assay. In heart RNA, the population shows a significant correlation of expression from the inactive allele with animal age (Fig 6; R = 0.3923; P = 0.00135). A marginally significant age-associated loss of silencing of Igf2 is also detected in lung (R = 0.2497; P = 0.0431). No significant age-associated correlation is observed in kidney RNA from the same animals.
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| DISCUSSION |
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The age-associated loss of silencing of the X-linked gene Atp7a is strongly supported by the experimental results. As expected, the inactive-X allele of Atp7a is repressed in young adult animals, with activity levels close to the background detection sensitivity of the PE assay (Fig 3, BKGD vs. 2-month cohort values; ![]()
4.7%, appears in the 24-month cohort (Fig 3A, animal no. 53). The X activation pattern is consistent in both J/X tissues, with the 13-month population yielding a mean value intermediate between the 24-month and 2-month means, thereby supporting the likelihood of an age-dependent process. In addition, the loss of X inactivation in older animals is demonstrated in the separate mouse population, T/M.
Age-dependent loss of allelic repression is also observed at the imprinted locus Igf2; both tissue- and sex-specific effects are apparent (Fig 5). In most cases, the young animals are not fully repressed for the maternal Igf2 allele, indicating a relaxed level of imprinting control, at least in these three tissues, by 2 months of age (![]()
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The absolute levels of expression from the inactive allele of Igf2 are remarkably high in many of the cohorts in both young (23 months) and old (>18 months) animals. Mean levels of expression from the inactive allele ranged from
6% (young CB6F1 animals) to 21% (old C57BL/6J x M. spretus animals). The exceptions to the large reactivation values are CB6F1 female kidney samples, with <1% expression from the inactive allele. The male and female CB6F1 kidney results were replicated in a second series of experiments on the same RNA samples (not shown); therefore, the unusually low female reactivation rates are unlikely to be simple assay error. With the existing data, it is unclear whether the differences in absolute reactivation result from strain-specific genetic variation, sex-specific gene expression, tissue-specific gene expression, or particular combinations of these effects. In addition, the overall high levels of reactivation from Igf2 may be gene specific and may not be a general observation among imprinted genes. Additional work is in progress to distinguish these effects.
These experimental results extend and refine previous evidence for loss of epigenetic regulation during normal aging. Activation of an inactive-X gene was initially observed in adult T16H translocation mice at the level of cell-specific protein function (![]()
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For both X inactivation and genomic imprinting, populations of age-matched animals show consistent, although not identical, age-associated loss of epigenetic control. Similarly, different tissues from the same animals provide evidence for age-associated loss of gene silencing, independent of the cell-type-specific transcriptional controls. Therefore, the simple hypothesisthat epigenetic regulation of gene expression remains stable in normal tissues throughout lifeis rejected. This implies that, for some genes at least, the developmentally programmed epigenetic state is subject to degradation or loss of specificity (![]()
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What are the probable molecular targets of the observed loss of epigenetic control? Epigenetic errors may occur when chromatin modifications are not maintained accurately, and these alterations may accumulate over time or during mitotic cell divisions. Current knowledge of the chromatin basis of epigenetic information is incomplete, but includes (i) DNA methylation, (ii) covalent modification of histone proteins, (iii) heritable patterns of chromatin-associated proteins, and (iv) stable complexes of transcriptional control factors (![]()
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| ACKNOWLEDGMENTS |
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The authors acknowledge the work of Alex Greenwood and Michelle Southard-Smith in this project and the assistance of Roxanne Tavakkol and Corintha Goble. This work has been supported, in part, by grants from the National Institutes of Health (nos. AG11687 and AG16699) and the National Science Foundation (DBI-9629038). P.B.-B. was supported by National Institutes of Health predoctoral training grants GM07544-22 and AG00114.
Manuscript received May 7, 2003; Accepted for publication August 18, 2003.
| LITERATURE CITED |
|---|
AUSUBEL, F. M., R. BRENT, R. E. KINGSTON, D. D. MOORE, J. G. SEIDMAN et al., 1989 Current Protocols in Molecular Biology. John Wiley & Sons, New York.
BECKSEI, A. and L. SERRANO, 2000 Engineering stability in gene networks by autoregulation. Nature 405:590-593.[Medline]
CATTANACH, B. M., 1974 Position effect variegation in the mouse. Genet. Res. 23:291-306.[Medline]
CUI, H., I. L. HORON, R. OHLSSON, S. R. HAMILTON, and A. P. FEINBERG, 1998 Loss of imprinting in normal tissue of colorectal cancer patients with microsatellite instability. Nat. Med. 4:1276-1280.[Medline]
CUTLER, R. G., 1985 Dysdifferentiative hypothesis of aging: a review, pp. 307340 in Molecular Biology of Aging: Gene Stability and Gene Expression, edited by R. SOHAL. Raven Press, New York.
EICHER, E. M., 1970 X-autosome translocations in mouse: total inactivation versus partial inactivation of the X-chromosome. Adv. Genet. 15:175-259.[Medline]
FAHY, E., R. NAZARBAGHI, M. ZOMORRODI, C. HERRNSTADT, and W. D. PARKER et al., 1997 Multiplex fluorescence-based primer extension method for quantitative mutation analysis of mitochondrial DNA and its diagnostic application for Alzheimer's disease. Nucleic Acids Res. 25:3102-3109.
FEINBERG, A. P., 2001 Cancer epigenetics takes center stage. Proc. Natl. Acad. Sci. USA 98:392-394.
GREENWOOD, A. D. and D. T. BURKE, 1996 Single nucleotide primer extension: quantitative range, variability, and multiplex analysis. Genome Res. 6:336-348.
HECKER, K. H. and K. H. ROUX, 1996 High and low annealing temperatures increase both specificity and yield in touchdown and stepdown PCR. Biotechniques 20:478-485.[Medline]
HOLLIDAY, R., 1988 Toward a biological understanding of the ageing process. Perspect. Biol. Med. 32:109-123.[Medline]
HOWARD, B. H., 1996 Replicative senescence: considerations relating to the stability of heterochromatin domains. Exp. Gerontol. 31:281-293.[Medline]
JAZWINSKI, S. M., 1996 Longevity, genes, and aging. Science 273:54-59.[Abstract]
JENUWEIN, T. and C. D. ALLIS, 2001 Translating the histone code. Science 293:1074-1080.
JIANG, S., M. A. HEMANN, M. P. LEE, and A. P. FEINBERG, 1998 Strain-dependent developmental relaxation of imprinting of an endogenous mouse gene, Kvlqt1.. Genomics 53:395-399.[Medline]
JOHNSON, F. B., D. A. SINCLAIR, and L. GUARENTE, 1999 Molecular biology of aging. Cell 96:291-302.[Medline]
JONES, P. A. and D. TAKAI, 2001 The role of DNA methylation in mammalian epigenetics. Science 293:1068-1070.
KING, C. M., E. S. GILLESPIE, P. G. MCKENNA, and Y. A. BARNETT, 1994 An investigation of mutation as a function of age in humans. Mutat. Res. 316:79-90.[Medline]
LATHAM, K. E., 1999 Mechanisms and control of embryonic genome activation in mammalian embryos. Int. Rev. Cytol. 193:71-124.[Medline]
LEHMANN, E. L., 1988 Nonparametrics: Statistical Methods Based on Rank. Prentice-Hall, Upper Saddle River, NJ.
LYON, M. F., 1999 Primer: X-chromosome inactivation. Curr. Biol. 9:R235-R237.[Medline]
MARTUS, H.-J., M. E. DOLLE, J. A. GOSSEN, M. E. BOERRIGTER, and J. VIJG, 1995 Use of transgenic mouse models for studying somatic mutations in aging. Mutat. Res. 338:203-213.[Medline]
MCADAMS, H. H. and A. ARKIN, 1999 It's a noisy business: genetic regulation at the nanomolar scale. Trends Genet. 15:65-69.[Medline]
SINGER-SAM, J., J. M. LEBON, A. DAI, and A. D. RIGGS, 1992 A sensitive, quantitative assay for measurement of allele-specific transcripts differing by a single nucleotide. PCR Methods Appl. 1:160-163.[Medline]
SZILARD, L., 1959 On the nature of the aging process. Proc. Natl. Acad. Sci. USA 45:35-45.
VILLEPONTEAU, B., 1997 The heterochromatin loss model of aging. Exp. Gerontol. 52:383-394.
WAREHAM, K. A., M. F. LYON, P. H. GLENISTER, and E. D. WILLIAMS, 1987 Age-related reactivation of an X-linked gene. Nature 327:725-727.[Medline]
WEILER, K. S. and B. T. WAKIMOTO, 1995 Heterochromatin and gene expression in Drosophila. Annu. Rev. Genet. 29:577-605.[Medline]
WOLF, R. and W. JÖRN, 2001 Genomic imprinting: parental influence on the genome. Nat. Rev. Genet. 1:21-32.
ZHEN, L. and R. T. SWANK, 1993 A simple and high yield method for recovering DNA from agarose gels. Biotechniques 14:894-898.[Medline]
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