Abstract
Epidermal growth factor (EGF), a multifunctional growth factor, is a regulator in a wide variety of physiological processes. EGF plays an important role in the regulation of liver regeneration. This study was aimed at investigating the methylation level of EGF gene throughout liver regeneration. DNA of liver tissue from control rats and partial hepatectomy (PH) rats at 10 time points was extracted and a 354 bp fragment including 10 CpG sites from the transcription start was amplified after DNA was modified by sodium bisulfate. The result of sequencing suggested that methylation ratio of four CpG sites was found to be significantly changed when PH group was compared to control group, in particular two of them were extremely striking. mRNA expression of EGF was down-regulated in total during liver regeneration. We think that the rat EGF promoter region is regulated by variation in DNA methylation during liver regeneration.
Keywords: methylation dynamics, epidermal growth factor, liver regeneration
The liver’s ability to regenerate in mammals is a very well studied response. When toxic injury, exposure to viruses, trauma or surgical resection results in loss of hepatic tissue, the remnant liver lobes will compensate for lost tissue and recover the initial liver mass within two weeks (Fausto et al., 2006). In the case of partial hepatectomy (PH), it results in hypertrophy of the remnant liver rather than restoration of the resected lobes as a consequence of cell proliferation, with the goal of replacing lost functional mass, which is called liver regeneration (LR) (Higgins and Anderson, 1931). The degree of hyperplasia is precisely controlled by the metabolic needs of the organism, proliferating under conditions of functional deficiency, and undergoing apoptosis under functional excess, such that the process stops once an appropriate liver to body weight ratio is achieved. In mouse and rat, the ratio is about 4.5%; in humans this number is approximately 2.5% (Fausto, 2000; Riehle et al., 2011). PH triggers the actions of signaling pathways, growth factors and cytokines, cell cycle associated proteins, and extracellular matrix, etc., leading to cell proliferation and structure function reorganization (Pahlavan et al., 2006; Michalopoulos, 2011). Among them, epidermal growth factor (EGF) has important function in LR.
EGF, a multifunctional growth factor, is known as a regulator in a wide variety of physiological processes (Zwick et al., 1999; Zeng et al., 2006).EGF binds to the epidermal growth factor receptor (EGFR),causing the EGFR to form homo- and heterodimers between EGFRs to recruit adaptor molecules such as phosphatidylinositol 3-kinase, Shc, and Grb2 etc. (Carpenter, 2000). These adaptor proteins then initiate signaling cascades including extracellular regulated kinase 1/2; leading to stimulation of a plethora of cellular processes, such as proliferation, differentiation, enbryogenesis, growth, tissue repair and regeneration (Morrish et al., 1997; Zwick et al., 1999; Ramos, 2008).
It was reported that EGF was rapidly produced in immediate-early phase of liver regeneration (Mullhaupt et al., 1994).EGF was thought to be one of the extracellular factors related to the early “priming phase” which sensitizes hepatocytes to other growth stimuli(Mead et al., 1990); it involves gene transcription of more than 70 immediate-early and other genes in this priming phase (Haber et al., 1993; Cressman et al., 1995; Fausto et al., 1995; Nadori et al., 1997).
Epigenetic regulation, such as DNA methylation and histone modification, was thought to influence gene expression mainly at the level of transcription. Methylation is the most extensive epigenetic modification that directly affects the DNA molecule in eukaryotes. In mammals, it nearly occurs only in the context of CG dinucleotides; DNA methylation is generally associated with gene repression (Miranda and Jones, 2007; Weber and Schübeler, 2007).DNA demethylation was long thought to occur only during specific developmental phases in zygotes and primordial germ cells; however several recent investigations found that DNA demethylation, even rapid demethylation, occurs in response to various stimuli in other cellular contexts (Ma et al. 2009; Guo et al., 2011a,b; Shearstone et al., 2011; Calvanese et al., 2012). Previous research on the EGF gene mainly focused on its expression and its interaction with other molecules; the purpose of the present study was to compare the methylation profile in the promoter region of EGF among 2/3 partially hepatectomized rats and a control group.
In total, 41 Healthy Sprague-Dawley rats (230 ± 20 g) provided by the Animal Center of Henan Normal University, were randomly separated into nine partial hepatectomy (PH) groups, nine sham-operation (SO) groups, and one normal control (NC) group. The PH and SO groups included two rats(male:female = 1:1) for each time point; the normal control consisted of five rats. Partial (2/3) hepatectomy was performed according to Higgins and Anderson (1931) with surgical removal of the left and median lateral liver lobes. The rats were sacrificed by cervical vertebra dislocation at 2, 6, 12, 24, 30, 36, 72, 120 and 168 h after PH, and the regenerating livers were obtained at corresponding time points. Rats composing the SO control group received the same treatment as the PH group but without liver removal. The Laws of Animal Protection of China were strictly followed. Total genomic DNA was extracted from the liver tissue following the method of Sambrook and Russell (2001).
Rat EGF promoter region sequence corresponding to nucleotides -1000 to -1 was retrieved from NCBI. The 1000 bp sequence then served as input to MethPrimer software (Li and Dahiya, 2002) for bisulfite sequencing primer design. We used the forward primer: 5′-ATGAGTTGAA GGTGAGATTTTTTTG-3′, and the reverse primer:5′-CCCCTCTCCTTTAATAACACTTAAATAA-3′ to amplify a 354 bp fragment which includes 10 CpG sites from the transcription start. DNA was modified using the EpiTect Bisulfite Kit (QIAGEN) according to the manufacturer’s instructions. PCR products were purified using the PCR Purification Kit (Dingguo Company, China) and ligated into pGEM-T vector (Promega, Madison, USA). The vector was then transformed into competent DH5-α E. coli cells. In each case, at least 10 of the plasmid clones were sequenced. The respective sequences are shown as Supplementary Material (Figure S1).
Total RNA was isolated from liver tissue using Trigol (Dingguo Company, China) according to the manufacturer’s instructions. cDNA was synthesized using random primers and a reverse transcription kit (Promega). Primers were designed by Primer Premier 5 software (Premier Biosoft, Palo Alto, USA) and synthesized by Dingguo Company according to mRNA sequences of EGF and the housekeeping gene GAPDH (NCBI: NM_012842.1 and NM_017008.4). The primer sequences are as follows: 5-′ACCAACACGGAGGGAGGCTACAA′-3 (forward, EGF), 5-′GCGGTCCACGGATTCAACATACA′-3 (reverse, EGF); 5-′CACGGCAAGTTCAACGGCACAG TCA′-3 (forward, GAPDH), 5-′GTGAAGACGCCAG TAGACTCCACGAC′-3 (reverse, GAPDH), Real-time quantitative PCR was performed by using SYBR_Green I (Invitrogen) in a Rotor-Gene 3000 (Corbett Robotics) under the following conditions: 95 °C for 2 min, followed by 40 cycles of 30 s at 95 °C, 30 s at 59 °C, and 30 s at 72 °C. Standard curves were generated from three repeated10-fold serial dilutions of cDNA. The copies of EGF and GAPDH mRNA were calculated by means of the software of the Rotor-Gene 3000. Each sample was analyzed in three replicates.
Sequences were aligned by means of the software BiQ Analyzer(Bock et al., 2005). Statistical analysis for significant differences between the groups was done with the Independent-Samples T test implemented in SPSS 13.0 software (SPSS Inc., Chicago, USA). A Spearman’s correlation analysis was used to test the association between methylation change and expression of EGF. P-values of less than 0.05 were considered statistically significant.
In this study the methylation status of 10 CpG sites in EGF promoter region was identified at 10 time points (Table 1). Among these positions, the methylation percentage of four CpGs was found to be significantly changed during liver regeneration in the PH group compared to the SO group (positions 3, 4, 7 and 8, p < 0.05); in particular, the difference in positions three and four was extremely striking (p < 0.01). Positions one and two were unmethylated or low methylated; The methylation ratio of positions 5, 6, 9 and 10 did not show statistically significant differences. The relative changes in EGF mRNA levels at nine time points during liver regeneration were as follows: 1.05; 0.64; 0.29; 0.45; 0.36; 0.22; 1.17; 1.16 and 0; the normal control was set to 1.
Table 1.
CpG position | Methylation percentage of 10 CpG (%) at each time point (h)
|
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
0 | 2 | 6 | 12 | 24 | 30 | 36 | 72 | 120 | 168 | |
0 | 7.4 | 5.3 | 5.6 | 0 | 10.5 | 5 | 0 | 5 | ||
1 | 7.7 | 5 | 0 | 20 | 5.3 | 5.3 | 10 | 5 | 5.3 | 5 |
0 | 3.7 | 10.5 | 5.6 | 0 | 5.3 | 0 | 0 | 5 | ||
2 | 3.8 | 0 | 5 | 10 | 5.3 | 5.3 | 5 | 10 | 0 | 0 |
56.5 | 29.6 | 26.3 | 11.1 | 5 | 15.8 | 5 | 11.1 | 5 | ||
3 | 80.8 | 60 | 25 | 55 | 52.6 | 21.1 | 50 | 35 | 36.8 | 35 |
65.2 | 48.1 | 78.9 | 100 | 90 | 89.5 | 100 | 83.3 | 95 | ||
4 | 73.1 | 70 | 75 | 60 | 52.6 | 68.4 | 40 | 45 | 42.1 | 45 |
82.6 | 70.4 | 100 | 100 | 100 | 94.7 | 100 | 100 | 100 | ||
5 | 88.5 | 85 | 90 | 90 | 84.2 | 84.2 | 70 | 85 | 89.5 | 100 |
69.6 | 63 | 94.7 | 100 | 95 | 89.5 | 100 | 88.9 | 100 | ||
6 | 80.8 | 90 | 85 | 90 | 84.2 | 73.7 | 55 | 70 | 73.7 | 80 |
47.8 | 66.7 | 84.2 | 94.4 | 90 | 78.9 | 90 | 88.9 | 90 | ||
7 | 69.2 | 55 | 85 | 85 | 63.2 | 78.9 | 65 | 60 | 52.6 | 60 |
47.8 | 74.1 | 78.9 | 100 | 90 | 89.5 | 100 | 88.9 | 95 | ||
8 | 73.1 | 55 | 85 | 75 | 63.2 | 89.5 | 80 | 55 | 68.4 | 50 |
30.4 | 44.4 | 84.2 | 83.3 | 95 | 100 | 95 | 94.4 | 95 | ||
9 | 46.2 | 55 | 85 | 55 | 68.4 | 94.7 | 50 | 55 | 52.6 | 35 |
56.5 | 70.4 | 84.2 | 94.4 | 90 | 89.5 | 90 | 94.4 | 95 | ||
10 | 57.7 | 55 | 85 | 75 | 63.2 | 94.7 | 85 | 65 | 73.7 | 50 |
Epigenetic events are involved in heritable gene expression patterns. DNA methylation and demethylation in regulatory regions represents an epigenetic change that profoundly affects gene expression, and the transcriptional activity of a gene is inversely correlated with DNA methylation of its promoter region (Cedar and Bergman, 2009). In normal mammalian somatic cells, most CpG sites are methylated and associated with gene silencing, and methylation is also thought to prevent chromatin instability(Grunstein, 1997; Szyf, 2005). As previous studies had indicated that EGF plays a crucial role in the regulation of liver regeneration(Mead et al., 1990); we asked whether CpG methylation may play a role in the regulation of EGF expression during liver regeneration.
When comparing the PH group to the SO group we found that the methylation percentage of CpG3 was dramatically decreased, and this change was positively associated with changes in EGF mRNA transcript levels (p < 0.01 Figure 1). This site could thus be a binding site of a protein which represses the expression of EGF. When using the online software TFSEARCH to predict TF binding sites we found a DNA-binding specificity for GATA family transcription factors. EGF expression was down-regulated in total during liver regeneration, and our data is consistent with the microarray analysis of Xu and Zhang (2009), but contrary to that of Mullhaupt et al. (1994), which used mice as an experimental model. These contradictory results certainly need further investigation.
The methylation mean percentage of positions 4, 7 and 8 was increased, especially at position 4 (Figure 2). The methylation change of sites 7 and 8 was positively related with the changes of EGF mRNA levels(p < 0.01 r = 0.675 and r = 0.675).
DNA methylation can lead to changes in the 3D structure of DNA, where by cytosine methylation can recruit methyl binding proteins (MBPs) and generate a repressed chromatin environment, so that the expression of genes becomes directly regulated by the status of DNA methylation and consequent change in DNA structure (Delgado-Olguin and Recillas-Targa, 2011). We think that the increase in methylation that we observed at three sites probably helps to prevent the binding of an inhibiting factor.
When we compared the SO group and the normal group (0 h) we found that the methylation ratios in sites 3, 4, 9 and 10 were also changed. In the SO group the changes inEGF mRNA expression was as follows: 0.56, 0.30, 0.33, 0.36, 037, 0.35, 0.5, 0.22 and 0.67, and there was no difference when compared to the PH group (p > 0.05). The methylation change at the sites 4, 9 and 10 was inversely correlated with the changes in EGF expression(p < 0.01 r = 0.868, r = 0.612 and r = 0.696), this also being in agreement that methylation is a modification that represses gene expression. The methylation change at site 3 was positively associated with changes in EGF mRNA levels(p < 0.01 r = 0.868), and this was similar in the PH group. This leads us to conclude that also in the SO group EGF expression was probably affected by an alteration in DNA methylation. When tissue was damaged there was an inflammatory response, an EGF is considered as a pro-inflammatory cytokine (Kasza, 2013). In the PH and SO group, the expression of EGF were both down-regulated, this perhaps contributing to relieve the inflammatory response.
Based on our data, it seems likely that DNA in the rat EGF promoter region is regulated by methylation variation during liver regeneration. In a next step we will investigate mechanism of methylation and demethylation and other epigenetic modification of EGF and their effect on expression and translation of EGF, so as to gain further insight into their effect on liver regeneration.
Acknowledgments
This work was supported by the National Basic Research 973 Pre-research Program of China (No. 2012CB722304), the Basic and Frontier Technology Research Program of Henan province (No. 092300410015) and Biology key discipline of Henan province. Editor helped us to revise style and English grammar of the manuscripts.
Footnotes
Associate Editor: Carlos R. Machado
Supplementary Material
The following online material is available for this article:
Figure S1: The sequence of the sites with altered CpG methylation.
This material is available as part of the online article from http://www.scielo.br/gmb
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Associated Data
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Supplementary Materials
Figure S1: The sequence of the sites with altered CpG methylation.
This material is available as part of the online article from http://www.scielo.br/gmb