Literature DB >> 23740463

DNA methylation analysis.

T von Känel1, Andreas R Huber.   

Abstract

DNA methylation, the addition of a methyl group to cytosines and adenosines, regulates gene expression on a level that is usually referred to as epigenetic, that is, stably maintained during cell divisions. In humans, aberrant DNA methylation is associated with several malignancies, including cancer and so-called imprinting disorders, making it an attractive target for diagnostic purposes. Here we give a brief introduction to the biology of DNA methylation and present the use of methylation biomarkers in laboratory medicine. DNA methylation assays have become the standard procedure in the diagnosis of imprinting disorders, and they are about to shift cancer diagnostics and prognostics to the next level of molecular medicine. However, there is evidence of problems associated with the introduction of such cancer assays in routine diagnostics. We review several assays that have been proposed for DNA methylation analysis. The assays presented analyse the methylation status of single loci and are based either on a bisulphite-treatment or on methylation-sensitive restriction of the DNA under investigation.

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Year:  2013        PMID: 23740463     DOI: 10.4414/smw.2013.13799

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  2 in total

1.  Detecting PKD1 variants in polycystic kidney disease patients by single-molecule long-read sequencing.

Authors:  Daniel M Borràs; Rolf H A M Vossen; Michael Liem; Henk P J Buermans; Hans Dauwerse; Dave van Heusden; Ron T Gansevoort; Johan T den Dunnen; Bart Janssen; Dorien J M Peters; Monique Losekoot; Seyed Yahya Anvar
Journal:  Hum Mutat       Date:  2017-05-29       Impact factor: 4.878

2.  Identification of DNMT3B2 as the Predominant Isoform of DNMT3B in Porcine Alveolar Macrophages and Its Involvement in LPS-Stimulated TNF-α Expression.

Authors:  Yanbing Zhang; Hui Li; Xiao Xiang; Yan Lu; Mona Sharma; Zongjie Li; Ke Liu; Jianchao Wei; Donghua Shao; Beibei Li; Zhiyong Ma; Yafeng Qiu
Journal:  Genes (Basel)       Date:  2020-09-10       Impact factor: 4.096

  2 in total

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