Literature DB >> 14501188

DNA methylation analysis techniques.

Christina Dahl1, Per Guldberg.   

Abstract

DNA methylation contributes to the control of gene expression and plays an essential role in cellular physiology. Well-defined patterns of DNA methylation are established and fixed during embryonic development, and changes in these patterns may be a contributing factor in developmental disorders, cancer and aging. Not least the possibility of using DNA methylation as a marker for disease has created a strong need for techniques to detect and measure DNA methylation. Different techniques provide information on DNA methylation at different levels, spanning from genome-wide methylation content to methylation of single residues in specific genes. The limitations of individual techniques strongly affect interpretation of data. In this review, we discuss some general themes in DNA methylation analysis and outline the basic principles of current key techniques. We discuss the advantages and disadvantages of these techniques, including potential artifacts and pitfalls, and suggest some overall guidelines that may be instructive for a rational choice of methodology.

Entities:  

Mesh:

Year:  2003        PMID: 14501188     DOI: 10.1023/a:1025103319328

Source DB:  PubMed          Journal:  Biogerontology        ISSN: 1389-5729            Impact factor:   4.277


  50 in total

1.  Custom-designed MLPA using multiple short synthetic probes: application to methylation analysis of five promoter CpG islands in tumor and urine specimens from patients with bladder cancer.

Authors:  Reza R Serizawa; Ulrik Ralfkiaer; Christina Dahl; Gitte W Lam; Alastair B Hansen; Kenneth Steven; Thomas Horn; Per Guldberg
Journal:  J Mol Diagn       Date:  2010-04-22       Impact factor: 5.568

2.  Label-free detection of missense mutations and methylation differences in the p53 gene using optically diffracting hydrogels.

Authors:  Kelsey I MacConaghy; Duncan M Chadly; Mark P Stoykovich; Joel L Kaar
Journal:  Analyst       Date:  2015-09-21       Impact factor: 4.616

3.  Global methylation profiles in DNA from different blood cell types.

Authors:  Hui-Chen Wu; Lissette Delgado-Cruzata; Julie D Flom; Maya Kappil; Jennifer S Ferris; Yuyan Liao; Regina M Santella; Mary Beth Terry
Journal:  Epigenetics       Date:  2011-01-01       Impact factor: 4.528

4.  Development of a multiplex methylation specific PCR suitable for (early) detection of non-small cell lung cancer.

Authors:  Imran Nawaz; Xiaoming Qiu; Heng Wu; Yang Li; Yaguang Fan; Li-Fu Hu; Qinghua Zhou; Ingemar Ernberg
Journal:  Epigenetics       Date:  2014-06-17       Impact factor: 4.528

5.  Abnormal DNA methylation in oocytes could be associated with a decrease in reproductive potential in old mice.

Authors:  Ming-xing Yue; Xiang-wei Fu; Guang-bin Zhou; Yun-peng Hou; Ming DU; Liang Wang; Shi-en Zhu
Journal:  J Assist Reprod Genet       Date:  2012-05-18       Impact factor: 3.412

Review 6.  Evaluation of right and left ventricular diastolic filling.

Authors:  Ares Pasipoularides
Journal:  J Cardiovasc Transl Res       Date:  2013-04-13       Impact factor: 4.132

7.  Maps of cis-Regulatory Nodes in Megabase Long Genome Segments are an Inevitable Intermediate Step Toward Whole Genome Functional Mapping.

Authors:  Lev G Nikolaev; Sergey B Akopov; Igor P Chernov; Eugene D Sverdlov
Journal:  Curr Genomics       Date:  2007-04       Impact factor: 2.236

8.  Genomic DNA Hypomethylation and Risk of Renal Cell Carcinoma: A Case-Control Study.

Authors:  Julia Mendoza-Pérez; Jian Gu; Luis A Herrera; Nizar M Tannir; Surena F Matin; Jose A Karam; Maosheng Huang; David W Chang; Christopher G Wood; Xifeng Wu
Journal:  Clin Cancer Res       Date:  2015-12-11       Impact factor: 12.531

9.  Prenatal tobacco smoke exposure affects global and gene-specific DNA methylation.

Authors:  Carrie V Breton; Hyang-Min Byun; Made Wenten; Fei Pan; Allen Yang; Frank D Gilliland
Journal:  Am J Respir Crit Care Med       Date:  2009-06-04       Impact factor: 21.405

10.  Genomic DNA methylation among women in a multiethnic New York City birth cohort.

Authors:  Mary Beth Terry; Jennifer S Ferris; Richard Pilsner; Julie D Flom; Parisa Tehranifar; Regina M Santella; Mary V Gamble; Ezra Susser
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-09       Impact factor: 4.254

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.