Dataset Information

Detection of uracil within DNA using a sensitive labeling method for in vitro and cellular applications.

ABSTRACT: The role of uracil in genomic DNA has been recently re-evaluated. It is now widely accepted to be a physiologically important DNA element in diverse systems from specific phages to antibody maturation and Drosophila development. Further relevant investigations would largely benefit from a novel reliable and fast method to gain quantitative and qualitative information on uracil levels in DNA both in vitro and in situ, especially since current techniques does not allow in situ cellular detection. Here, starting from a catalytically inactive uracil-DNA glycosylase protein, we have designed several uracil sensor fusion proteins. The designed constructs can be applied as molecular recognition tools that can be detected with conventional antibodies in dot-blot applications and may also serve as in situ uracil-DNA sensors in cellular techniques. Our method is verified on numerous prokaryotic and eukaryotic cellular systems. The method is easy to use and can be applied in a high-throughput manner. It does not require expensive equipment or complex know-how, facilitating its easy implementation in any basic molecular biology laboratory. Elevated genomic uracil levels from cells of diverse genetic backgrounds and/or treated with different drugs can be demonstrated also in situ, within the cell.

SUBMITTER: Rona G

PROVIDER: S-EPMC4756853 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Detection of uracil within DNA using a sensitive labeling method for in vitro and cellular applications.

Róna Gergely G Scheer Ildikó I Nagy Kinga K Pálinkás Hajnalka L HL Tihanyi Gergely G Borsos Máté M Békési Angéla A Vértessy Beáta G BG

Nucleic acids research 20151001 3

The role of uracil in genomic DNA has been recently re-evaluated. It is now widely accepted to be a physiologically important DNA element in diverse systems from specific phages to antibody maturation and Drosophila development. Further relevant investigations would largely benefit from a novel reliable and fast method to gain quantitative and qualitative information on uracil levels in DNA both in vitro and in situ, especially since current techniques does not allow in situ cellular detection. ...[more]

PMID: 26429970

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Project description:BackgroundMitochondrial dysfunction is linked to numerous pathological states, in particular related to metabolism, brain health and ageing. Nuclear encoded gene polymorphisms implicated in mitochondrial functions can be analyzed in the context of classical genome wide association studies. By contrast, mitochondrial DNA (mtDNA) variants are more challenging to identify and analyze for several reasons. First, contrary to the diploid nuclear genome, each cell carries several hundred copies of the circular mitochondrial genome. Mutations can therefore be present in only a subset of the mtDNA molecules, resulting in a heterogeneous pool of mtDNA, a situation referred to as heteroplasmy. Consequently, detection and quantification of variants requires extremely accurate tools, especially when this proportion is small. Additionally, the mitochondrial genome has pseudogenized into numerous copies within the nuclear genome over the course of evolution. These nuclear pseudogenes, named NUMTs, must be distinguished from genuine mtDNA sequences and excluded from the analysis.ResultsHere we describe a novel method, named MitoRS, in which the entire mitochondrial genome is amplified in a single reaction using rolling circle amplification. This approach is easier to setup and of higher throughput when compared to classical PCR amplification. Sequencing libraries are generated at high throughput exploiting a tagmentation-based method. Fine-tuned parameters are finally applied in the analysis to allow detection of variants even of low frequency heteroplasmy. The method was thoroughly benchmarked in a set of experiments designed to demonstrate its robustness, accuracy and sensitivity. The MitoRS method requires 5 ng total DNA as starting material. More than 96 samples can be processed in less than a day of laboratory work and sequenced in a single lane of an Illumina HiSeq flow cell. The lower limit for accurate quantification of single nucleotide variants has been measured at 1% frequency.ConclusionsThe MitoRS method enables the robust, accurate, and sensitive analysis of a large number of samples. Because it is cost effective and simple to setup, we anticipate this method will promote the analysis of mtDNA variants in large cohorts, and may help assessing the impact of mtDNA heteroplasmy on metabolic health, brain function, cancer progression, or ageing.

Dataset Information

Detection of uracil within DNA using a sensitive labeling method for in vitro and cellular applications.

Publications

Detection of uracil within DNA using a sensitive labeling method for in vitro and cellular applications.

Similar Datasets

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