DNA Methylation Analysis: Choosing the Right Method
Анализ метилирования ДНК: выбор подходящего метода
2016-01-06
SCID: 54.1/vturvuee
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DNA methylation analysisDNA methylation assaysepigenetic change discoveryepigeneticsregulatory region methylation
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Abstract (AI)
In the burgeoning field of epigenetics, there are several methods available to determine the methylation status of DNA samples. However, choosing the method that is best suited to answering a particular biological question still proves to be a difficult task. This review aims to provide biologists, particularly those new to the field of epigenetics, with a simple algorithm to help guide them in the selection of the most appropriate assay to meet their research needs. First of all, we have separated all methods into two categories: those that are used for: (1) the discovery of unknown epigenetic changes; and (2) the assessment of DNA methylation within particular regulatory regions/genes of interest. The techniques are then scrutinized and ranked according to their robustness, high throughput capabilities and cost. This review includes the majority of methods available to date, but with a particular focus on commercially available kits or other simple and straightforward solutions that have proven to be useful.
Key Findings
1
DNA methylation methods are divided into approaches for discovering unknown epigenetic changes and assessing methylation in predefined regulatory regions or genes.
2
The review emphasizes commercially available kits and other straightforward methods demonstrated to be useful, while covering most methods available at the time.
3
The review presents a simple decision algorithm for selecting DNA methylation assays according to specific biological research questions.
4
The reviewed techniques are evaluated and ranked by robustness, throughput capacity, and cost to support practical method selection.
Research Object
DNA methylation analysis methods and assays
Research Subject
Method selection for DNA methylation analysis based on biological question, application scope, robustness, throughput, and cost
Publication Details
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2016-01-06
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