• Title/Summary/Keyword: CpG DNA

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DNA Methylation of Gene Expression in Acanthamoeba castellanii Encystation

  • Moon, Eun-Kyung;Hong, Yeonchul;Lee, Hae-Ahm;Quan, Fu-Shi;Kong, Hyun-Hee
    • Parasites, Hosts and Diseases
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    • v.55 no.2
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    • pp.115-120
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    • 2017
  • Encystation mediating cyst specific cysteine proteinase (CSCP) of Acanthamoeba castellanii is expressed remarkably during encystation. However, the molecular mechanism involved in the regulation of CSCP gene expression remains unclear. In this study, we focused on epigenetic regulation of gene expression during encystation of Acanthamoeba. To evaluate methylation as a potential mechanism involved in the regulation of CSCP expression, we first investigated the correlation between promoter methylation status of CSCP gene and its expression. A 2,878 bp of promoter sequence of CSCP gene was amplified by PCR. Three CpG islands (island 1-3) were detected in this sequence using bioinformatics tools. Methylation of CpG island in trophozoites and cysts was measured by bisulfite sequence PCR. CSCP promoter methylation of CpG island 1 (1,633 bp) was found in 8.2% of trophozoites and 7.3% of cysts. Methylation of CpG island 2 (625 bp) was observed in 4.2% of trophozoites and 5.8% of cysts. Methylation of CpG island 3 (367 bp) in trophozoites and cysts was both 3.6%. These results suggest that DNA methylation system is present in CSCP gene expression of Acanthamoeba. In addition, the expression of encystation mediating CSCP is correlated with promoter CpG island 1 hypomethylation.

A concise review of human brain methylome during aging and neurodegenerative diseases

  • Prasad, Renuka;Jho, Eek-hoon
    • BMB Reports
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    • v.52 no.10
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    • pp.577-588
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    • 2019
  • DNA methylation at CpG sites is an essential epigenetic mark that regulates gene expression during mammalian development and diseases. Methylome refers to the entire set of methylation modifications present in the whole genome. Over the last several years, an increasing number of reports on brain DNA methylome reported the association between aberrant methylation and the abnormalities in the expression of critical genes known to have critical roles during aging and neurodegenerative diseases. Consequently, the role of methylation in understanding neurodegenerative diseases has been under focus. This review outlines the current knowledge of the human brain DNA methylomes during aging and neurodegenerative diseases. We describe the differentially methylated genes from fetal stage to old age and their biological functions. Additionally, we summarize the key aspects and methylated genes identified from brain methylome studies on neurodegenerative diseases. The brain methylome studies could provide a basis for studying the functional aspects of neurodegenerative diseases.

Intraspecific variation and geographic study of Lonicera insularis (Caprifoliaceae) based on chloroplast DNA sequences (엽록체 DNA를 이용한 섬괴불나무(Lonicera insularis Nakai)의 종내변이 및 지리학적 연구)

  • Jeong, Keum Seon;Kim, Mi Sun;Lee, Woong;Pak, Jae-Hong
    • Korean Journal of Plant Taxonomy
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    • v.44 no.3
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    • pp.202-207
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    • 2014
  • Lonicera insularis Nakai (Caprifoliaceae) is Korean endemic plant that lives along the shore of Ulleungdo and Dokdo. The aim of this study is to construct a phylogenetic relationship within six species (L.maackii, L.chrysantha, L.subsessilis, L. harai, L. morrowii) of genus Lonicera L. and Wigela subsessilis as outgroup and intraspecific variation of L. insularis using chloroplast DNA five regions sequences. Sequence analysis revealed that both L. insularis and L. morrowii showed complete homologies in the intergenic regions of trnL-trnF, trnS-trnG, psbM-trnD and matK coding region. However, sequence in the petN-psbM intergenic region showed a single nucleotide difference between both species, thus we designated them as CP01 and CP02. The plants having CP01 are prevalent in the Ulleungdo and Dokdo, while L. insularis and L. morrowii from Ulleungdo and of Dokdo, and Japan have CP02. This confirmed the existence of two cp DNA lineages with different geographical distributions. We can infer the allopatric speciation by geographical barrier. The result will provide the important basal data to study speciation and specie evolution of ocean islands such as Ulleungdo and Dokdo.

DNA Methylation Change of IL-4 Gene from T Cell in Allergic Children (영유아기 아토피 환아에서 말초혈액 T 림프구에서 Interleukin-4 유전자의 DNA 메틸화 변화)

  • Oh, Jae Won;Yum, Myung Gul;Kim, Chang Ryul;Seol, In-Joon;Shin, Su A;Lee, Ha Baik;Jang, Se Jin
    • Clinical and Experimental Pediatrics
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    • v.48 no.6
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    • pp.634-639
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    • 2005
  • Purpose : An understanding of the immunological process is required if primary prevention of atopic diseases is to be developed in early childhood. But, it is too hard to distinguish atopy from nonatopy under the age of two clinically, because the expression of phenotype and cytokines is vague in early childhood. We evaluated DNA methylation changes at Th2 interleukin-4 gene in peripheral blood from atopic children. Methods : We selected 15 allergic children(mild : eight, moderate to severe : seven) and seven normal controls by using family allergy scores and clinical histories. We measured Total IgE and Der f II specific IgE levels and cultured peripheral blood mononuclear cells with Der f II stimulation and extracted DNA from Der f II specific T cells. We examined the change of CpG methylation in DNA from atopic and nonatopic children. Results : In T cells from normal children, IL-4 DNA were predominantly methylated; otherwise, CpG demethylation occurred in Der f II specific T cells from allergic children. Conclusion : IL-4 DNA methylation changes occurred in T genes from allergic children and DNA methylation assay in early childhood.

Development of a Window Program for Searching CpG Island (CpG Island 검색용 윈도우 프로그램 개발)

  • Kim, Ki-Bong
    • Journal of Life Science
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    • v.18 no.8
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    • pp.1132-1139
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    • 2008
  • A CpG island is a short stretch of DNA in which the frequency of the CG dinucleotide is higher than other regions. CpG islands are present in the promoters and exonic regions of approximately $30{\sim}60$% of mammalian genes so they are useful markers for genes in organisms containing 5-methylcytosine in their genomes. Recent evidence supports the notion that the hypermethylation of CpG island, by silencing tumor suppressor genes, plays a major causal role in cancer, which has been described in almost every tumor types. In this respect, CpG island search by computational methods is very helpful for cancer research and computational promoter and gene predictions. I therefore developed a window program (called CpGi) on the basis of CpG island criteria defined by D. Takai and P. A. Jones. The program 'CpGi' was implemented in Visual C++ 6.0 and can determine the locations of CpG islands using diverse parameters (%GC, Obs (CpG)/Exp (CpG), window size, step size, gap value, # of CpG, length) specified by user. The analysis result of CpGi provides a graphical map of CpG islands and G+C% plot, where more detailed information on CpG island can be obtained through pop-up window. Two human contigs, i.e. AP00524 (from chromosome 22) and NT_029490.3 (from chromosome 21), were used to compare the performance of CpGi and two other public programs for the accuracy of search results. The two other programs used in the performance comparison are Emboss-CpGPlot and CpG Island Searcher that are web-based public CpG island search programs. The comparison result showed that CpGi is on a level with or outperforms Emboss-CpGPlot and CpG Island Searcher. Having a simple and easy-to-use user interface, CpGi would be a very useful tool for genome analysis and CpG island research. To obtain a copy of CpGi for academic use only, contact corresponding author.

Slowing of the Epigenetic Clock in Schizophrenia (조현병에서 나타나는 후성유전학적 나이 가속도 감속)

  • Yeon-Oh Jeong;Jinyoung Kim;Karthikeyan A Vijayakumar;Gwang-Won Cho
    • Journal of Life Science
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    • v.33 no.9
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    • pp.730-735
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    • 2023
  • In the past decade, numerous studies have been carried out to quantify aging with the help of artificial intelligence. Using DNA methylation data, various models have been developed; these are commonly called epigenetic clocks. Epigenetic age acceleration is usually associated with disease conditions. Schizophrenia is a mental illness associated with severe mental and physical stress. This disease leads to high mortality and morbidity rates in young people compared with other psychological disorders. In the past, the research community considered this disease to be related to the accelerated aging hypothesis. In the current study, we wanted to investigate the epigenetic age acceleration changes in schizophrenia patients to obtain epigenetic insights into the disease. To measure the epigenetic age acceleration, we used two different DNA methylation clock models, namely, Horvath clock and Epi clock, as these are pan-tissue models. We utilized 450k array data compatible with both clocks. We found a slower epigenetic acceleration in the patients' samples when we used the Epi clock. We further analyzed the differentially methylated CpG sites between the control and cases and performed pathway enrichment analysis. We found that most of the CpGs are involved in neuronal processes.

Effects of Promoter Methylation on the Expression Levels of Plakoglobin Gene in Both the ARO Thyroid Cancer Cell Line and Cancer Tissues

  • Han, Kyung-Hee;Kim, Tai-Jeon
    • Korean Journal of Clinical Laboratory Science
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    • v.41 no.4
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    • pp.180-188
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    • 2009
  • Plakoglobin (PKG) is a protein linking cadherin adhesion receptors to the actin cytoskeleton and its overexpression has been known to suppress cell proliferation and tumorigenesis in thyroid cancer. We investigated the effect of 5-aza-2'-deoxycytidine (5-Aza-CdR), a DNA methyltransferase inhibitor, on the methylation status of the promoter and the expression of the plakoglobin gene in a thyroid carcinoma cell line (ARO) and papillary thyroid carceinoma. In cultures of ARO cell line incubated without 5-Aza-2'-deoxycytidine (5-Aza-CdR), five of the fifteen CpG sites in the promoter spanning -225 and -54 were methylated at 4.2 - 12.5%. When the cells were treated with 5-Aza-CdR, all the methylated CpG sites were induced to be demethylated except one. In addition, a new methylation at one CpG site, CpG4, was identified at level of 12.0%. The expression level of PKG decreased approximately 10-fold in the 5-Aza-CdR treated cells compared to untreated cells. Different pattern of promoter methylation and expression of PKG was also observed in the tissue samples. CpG10 and CpG12 sites were methylated at 9.0-27.0% in normal tissues. However, in cancer tissues, CpG5 and CpG10 sites were methylated at 10.0-22.0%. Three of ten normal thyroid tissue samples and one of thirteen papillary carcinoma tumor samples showed increased PKG mRNA expression level. PKG protein expression analyzed by the immunohistochemical staining showed higher expression in the tumor compared with normal.

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Application of Data Mining for Biomedical Data Processing (바이오메디컬 데이터 처리를 위한 데이터마이닝 활용)

  • Shon, Ho-Sun;Kim, Kyoung-Ok;Cha, Eun-Jong;Kim, Kyung-Ah
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1236-1241
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    • 2016
  • Cancer has been the most frequent in Korea, and pathogenesis and progression of cancer have been known to be occurred through various causes and stages. Recently, the research of chromosomal and genetic disorder and the research about prognostic factor to predict occurrence, recurrence and progress of chromosomal and genetic disorder have been performed actively. In this paper, we analyzed DNA methylation data downloaded from TCGA (The Cancer Genome Atlas), open database, to research bladder cancer which is the most frequent among urinary system cancers. Using three level of methylation data which had the most preprocessing, 59 candidate CpG island were extracted from 480,000 CpG island, and then we analyzed extracted CpG island applying data mining technique. As a result, cg12840719 CpG island were analyzed significant, and in Cox's regression we can find the CpG island with high relative risk in comparison with other CpG island. Shown in the result of classification analysis, the CpG island which have high correlation with bladder cancer are cg03146993, cg07323648, cg12840719, cg14676825 and classification accuracy is about 76%. Also we found out that positive predictive value, the probability which predicts cancer in case of cancer was 72.4%. Through the verification of candidate CpG island from the result, we can utilize this method for diagnosing and treating cancer.

Cloning of Notl-linked DNA Detected by Restriction Landmark Genomic Scanning of Human Genome

  • Kim Jeong-Hwan;Lee Kyung-Tae;Kim Hyung-Chul;Yang Jin-Ok;Hahn Yoon-Soo;Kim Sang-Soo;Kim Seon-Young;Yoo Hyang-Sook;Kim Yong-Sung
    • Genomics & Informatics
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    • v.4 no.1
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    • pp.1-10
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    • 2006
  • Epigenetic alterations are common features of human solid tumors, though global DNA methylation has been difficult to assess. Restriction Landmark Genomic Scanning (RLGS) is one of technology to examine epigenetic alterations at several thousand Notl sites of promoter regions in tumor genome. To assess sequence information for Notl sequences in RLGS gel, we cloned 1,161 unique Notl-linked clones, compromising about 60% of the spots in the soluble region of RLGS profile, and performed BLAT searches on the UCSC genome server, May 2004 Freeze. 1,023 (88%) unique sequences were matched to the CpG islands of human genome showing a large bias of RLGS toward identifying potential genes or CpG islands. The cloned Notl-loci had a high frequency (71%) of occurrence within CpG islands near the 5' ends of known genes rather than within CpG islands near the 3' ends or intragenic regions, making RLGS a potent tool for the identification of gene-associated methylation events. By mixing RLGS gels with all Notl-linked clones, we addressed 151 Notl sequences onto a standard RLGS gel and compared them with previous reports from several types of tumors. We hope our sequence information will be useful to identify novel epigenetic targets in any types of tumor genome.