• Title/Summary/Keyword: methylation method

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Methylation Methods on Identification of Phenolics in Chebulae Fructus (Chebulae Fructus중 페놀 물질 확인시의 Methylation법 비교)

  • 김정숙
    • Journal of the East Asian Society of Dietary Life
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    • v.4 no.1
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    • pp.79-86
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    • 1994
  • Food quality in food processing and storage were affected by the kinds of phenolics involved. To analyze phenolics of Chebulae Fructus by the way of GC-MSm methylation and trimethylsilyation(TMS) are necessary. The methods of methylation were dimethyl sulfate method and diazomethane method. so this study was undertaken to research the better methylation method before measuring GC-MS. But dimethyl sulfate method of methylation was not sufficient to analyze phenolics. So the phenolics of Chebulae Fructus were analyzed by the diazomethane methylation method and TMS with the pyridine, N-O-bis-trimethylsilyl-acetamide(BSTFA) and trimethylchlorosilane(TMCS). With the exception of pyrogallol and phloroglucinol in insoluble phenolics of Chebulae Fructus, the greater part of phenolics. analysis could be analyzed by GC-MS in company with diazomethane methylation method and TMS.

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A Visualization Tool for Computational Analysis of DNA Methylation Level Using Bisulfite Sequencing Data

  • Tae, Hong-Seok
    • Genomics & Informatics
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    • v.9 no.3
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    • pp.136-137
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    • 2011
  • Methylation of cytosine is a post-synthesis modification that does not affect the primary DNA sequence but greatly influences gene expression level and phenotypes of an organism. As high-throughput sequencing of bisulfite-treated DNA is the most efficient method to identify methylated sites, several tools to map sequencing reads on a reference are available. But tools to visualize and to interpret the methylation level of methylation sites are currently insufficient. Herein, we present a novel tool to visualize the methylation level of CpG sites.

A Modified Methylation Method to Determine Fatty Acid Content by Gas Chromatography

  • Wirasnita, Riry;Hadibarata, Tony;Novelina, Yus Maria;Yusoff, Abdull Rahim Mohd;Yusop, Zulkifli
    • Bulletin of the Korean Chemical Society
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    • v.34 no.11
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    • pp.3239-3242
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    • 2013
  • An improved rapid method for determination of the fatty acid composition using modified methylation procedure was compared with the AOAC reference procedure based on the methylation of fatty acid with the addition of BF3 catalyst before and while heating. The new method is useful for research and routine quality control and has a number of advantages over the reference procedure which are more rapid, simple and also reliable. Applicability of the modified methylation method was confirmed with three vegetable oil samples (palm oil, coconut oil and olive oil). Based on the validation method results, we obtained that a quite linear calibration curve of fatty acids was performed with $R^2$ in range of 0.9972-0.9994. The sensitivity of gas chromatography instrument was able to analyze the fatty acids up to a few ppm, the precision and accuracy were good enough with the %RSD between 1.5%-19.5% and the recovery of linolenic acid was 99.1% in the range of 80.0%-113.3%.

Prognostic Role of Methylation Status of the MGMT Promoter Determined Quantitatively by Pyrosequencing in Glioblastoma Patients

  • Kim, Dae Cheol;Kim, Ki Uk;Kim, Young Zoon
    • Journal of Korean Neurosurgical Society
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    • v.59 no.1
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    • pp.26-36
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    • 2016
  • Objective : This study investigated whether pyrosequencing can be used to determine the methylation status of the MGMT promoter as a clinical biomarker using relatively old archival tissue samples of glioblastoma. We also examined other prognostic factors for survival of glioblastoma patients. Methods : The available study set included formalin-fixed paraffin-embedded (FFPE) tissue from 104 patients at two institutes from 1997 to 2012, all of which were diagnosed histopathologically as glioblastoma. Clinicopathologic data were collected by review of medical records. For pyrosequencing analysis, the PyroMark Q96 CpG MGMT kit (Qiagen, Hilden, Germany) was used to detect the level of methylation at exon 1 positions 17-39 of the MGMT gene, which contains 5 CpGs. Results : Methylation of the MGMT promoter was detected in 43 (41.3%) of 104 samples. The average percentage methylation was $14.0{\pm}16.8%$ overall and $39.0{\pm}14.7%$ for methylated cases. There was no significant pattern of linear increase or decrease according to the age of the FFPE block (p=0.687). In multivariate analysis, age, performance status, extent of surgery, method of adjuvant therapy, and methylation status estimated by pyrosequencing were independently associated with overall survival. Additionally, patients with a high level of methylation survived longer than those with low methylation (p=0.016). Conclusion : In this study, the status and extent of methylation of the MGMT promoter analyzed by pyrosequencing were associated with overall survival in glioblastoma patients. Pyrosequencing is a quantitative method that overcomes the problems of MSP and a simple technique for accurate analysis of DNA sequences.

DNA methylation-based age prediction from various tissues and body fluids

  • Jung, Sang-Eun;Shin, Kyoung-Jin;Lee, Hwan Young
    • BMB Reports
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    • v.50 no.11
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    • pp.546-553
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    • 2017
  • Aging is a natural and gradual process in human life. It is influenced by heredity, environment, lifestyle, and disease. DNA methylation varies with age, and the ability to predict the age of donor using DNA from evidence materials at a crime scene is of considerable value in forensic investigations. Recently, many studies have reported age prediction models based on DNA methylation from various tissues and body fluids. Those models seem to be very promising because of their high prediction accuracies. In this review, the changes of age-associated DNA methylation and the age prediction models for various tissues and body fluids were examined, and then the applicability of the DNA methylation-based age prediction method to the forensic investigations was discussed. This will improve the understandings about DNA methylation markers and their potential to be used as biomarkers in the forensic field, as well as the clinical field.

A Finite Mixture Model for Gene Expression and Methylation Pro les in a Bayesian Framewor

  • Jeong, Jae-Sik
    • The Korean Journal of Applied Statistics
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    • v.24 no.4
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    • pp.609-622
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    • 2011
  • The pattern of methylation draws significant attention from cancer researchers because it is believed that DNA methylation and gene expression have a causal relationship. As the interest in the role of methylation patterns in cancer studies (especially drug resistant cancers) increases, many studies have been done investigating the association between gene expression and methylation. However, a model-based approach is still in urgent need. We developed a finite mixture model in the Bayesian framework to find a possible relationship between gene expression and methylation. For inference, we employ Expectation-Maximization(EM) algorithm to deal with latent (unobserved) variable, producing estimates of parameters in the model. Then we validated our model through simulation study and then applied the method to real data: wild type and hydroxytamoxifen(OHT) resistant MCF7 breast cancer cell lines.

Fatty Acid Composition Analysis of Major Oil Crops by One-Step Extraction/Methylation Method (일단계 추출 및 메칠화법에 의한 유료작물의 지방산 분석)

  • 김진경;김남희;방진기;이병규;박충범;이봉호
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.45 no.3
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    • pp.211-215
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    • 2000
  • Lipid extraction preceding fatty acid methyl esters preparation for gas-liquid chromatography is time-consuming and cumbersome. We performed one-step extraction/methylation method with a mixture of methanol-heptane-benzene-DMP-H$_2$SO$_4$ without prior fat extraction. The simultaneous digestion and lipid transmethylation takes place at 8$0^{\circ}C$ in a single phase. After cooling till room temperature, two phases are formed. The upper one of the phases contains the fatty acid methyl esters ready for GLC. The fatty acid composition of major industrial crops obtained by the one step extraction/methylation method (method 1 and 2) was almost identical with the fatty acid composition of the pure fats extracted with hexane by the Soxtec instrument (method 3). Due to its simplicity, speed, and reduced organic solvent the one-step extraction/methylation method (method 1 and 2) should be useful to determine overall fatty acid composition, especially in situations where many samples have to be analyzed.

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Genome-wide Analysis of Aberrant DNA Methylation for Identification of Potential Biomarkers in Colorectal Cancer Patients

  • Fang, Wei-Jia;Zheng, Yi;Wu, Li-Ming;Ke, Qing-Hong;Shen, Hong;Yuan, Ying;Zheng, Shu-Sen
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.1917-1921
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    • 2012
  • Background: Colorectal cancer is one of the leading causes of mortality worldwide. Genome wide analysis studies have identified sequence mutations causing loss-of-function that are associated with disease occurrence and severity. Epigenetic modifications, such DNA methylation, have also been implicated in many cancers but have yet to be examined in the East Asian population of colorectal cancer patients. Methods: Biopsies of tumors and matched non-cancerous tissue types were obtained and genomic DNA was isolated and subjected to the bisulphite conversion method for comparative DNA methylation analysis on the Illumina Infinium HumanMethylation27 BeadChip. Results: Totals of 258 and 74 genes were found to be hyper- and hypo-methylated as compared to the individual's matched control tissue. Interestingly, three genes that exhibited hypermethylation in their promoter regions, CMTM2, ECRG4, and SH3GL3, were shown to be significantly associated with colorectal cancer in previous studies. Using heatmap cluster analysis, eight hypermethylated and 10 hypomethylated genes were identified as significantly differentially methylated genes in the tumour tissues. Conclusions: Genome-wide methylation profiling facilitates rapid and simultaneous analysis of cancerous cells which may help to identify methylation markers with high sensitivity and specificity for diagnosis and prognosis. Our results show the promise of the microarray technology in identification of potential methylation biomarkers for colorectal cancers.

Genetic Diagnosis of Beckwith Wiedemann Syndrome using Methylation Specific PCR-RFLP Method (Methylation Specific PCR-RFLP 방법을 이용한 Beckwith Wiedemann Syndrome의 진단)

  • Kim, Gu-Hwan;Lee, Jin-Joo;Choi, Seung-Hoon;Lee, Joo-Yeon;Lee, Beom-Hee;Yoo, Han-Wook
    • Journal of Genetic Medicine
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    • v.7 no.2
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    • pp.133-137
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    • 2010
  • Purpose: Beckwith-Wiedemann syndrome (BWS) is an overgrowth malformation syndrome caused by a methylation abnormality at chromosome 11p15, consisting of two imprinting centers, BWSIC1 (IGF2, H19) and BWSIC2 (LIT1, KvDMR). This study evaluated the applicability of a methylation-specific (MS) PCR RFLP method for the genetic diagnosis of BWS. Materials and Methods: A total of 12 patients were recruited based on clinical findings. Karyotyping was performed using peripheral blood leukocytes, and genomic DNA was treated with bisulfate and amplified using methylation-specific primers. RFLP was conducted with restriction enzymes in differentially methylated regions of LIT1, H19, and IGF2. Results: The 12 BWS patients had normal karyotypes. Abnormal methylation patterns in the BWSIC2 (LIT1) region were identified in seven patients (58.3%) using the MS-PCR RFLP method. Conclusions: The MS-PCR RFLP method is a simple, economical genetic test. It detected genetic abnormalities in 50-60% of BWS patients, suggesting that it can be used as a screening test. A more precise method is required, however, to enhance the detection rate of genetic abnormalities, especially in BWSIC1 region.

Methylation-sensitive high-resolution melting analysis of the USP44 promoter can detect early-stage hepatocellular carcinoma in blood samples

  • Si-Cho, Kim;Jiwon, Kim;Da-Won, Kim;Yanghee, Choi;Kyunghyun, Park;Eun Ju, Cho;Su Jong, Yu;Jeongsil, Kim-Ha;Young-Joon, Kim
    • BMB Reports
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    • v.55 no.11
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    • pp.553-558
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    • 2022
  • Hepatocellular carcinoma (HCC) is dangerous cancer that often evades early detection because it is asymptomatic and an effective detection method is lacking. For people with chronic liver inflammation who are at high risk of developing HCC, a sensitive detection method for HCC is needed. In a meta-analysis of The Cancer Genome Atlas pan-cancer methylation database, we identified a CpG island in the USP44 promoter that is methylated specifically in HCC. We developed methylation-sensitive high-resolution melting (MS-HRM) analysis to measure the methylation levels of the USP promoter in cell-free DNA isolated from patients. Our MS-HRM assay correctly identified 40% of patients with early-stage HCC, whereas the α-fetoprotein test, which is currently used to detect HCC, correctly identified only 25% of early-stage HCC patients. These results demonstrate that USP44 MS-HRM analysis is suitable for HCC surveillance.