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Fidelity Index Determination of DNA Methyltransferases

Overview of attention for article published in PLOS ONE, May 2013
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Title
Fidelity Index Determination of DNA Methyltransferases
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063866
Pubmed ID
Authors

Janine G. Borgaro, Nicole Benner, Zhenyu Zhu

Abstract

DNA methylation is the most frequent form of epigenetic modification in the cell, which involves gene regulation in eukaryotes and protection against restriction enzymes in prokaryotes. Even though many methyltransferases exclusively modify their cognate sites, there have been reports of those that exhibit promiscuity. Previous experimental approaches used to characterize these methyltransferases do not provide the exact concentration at which off-target methylation occurs. Here, we present the first reported fidelity index (FI) for a number of DNA methyltransferases. We define the FI as the ratio of the highest amount of methyltransferase that exhibits no star activity (off-target effects) to the lowest amount that exhibits complete modification of the cognate site. Of the methyltransferases assayed, M.MspI and M.AluI exhibited the highest fidelity of ≥250 and ≥500, respectively, and do not show star activity even at very high concentrations. In contrast, M.HaeIII, M.EcoKDam and M.BamHI have the lowest fidelity of 4, 4 and 2, respectively, and exhibit star activity at concentrations close to complete methylation of the cognate site. The fidelity indexes provide vital information on the usage of methyltransferases and are especially important in applications where site specific methylation is required.

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The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Researcher 5 26%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 5 26%
Medicine and Dentistry 2 11%
Physics and Astronomy 1 5%
Chemical Engineering 1 5%
Other 0 0%
Unknown 2 11%