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Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns
DNA methyltransferases establish methylation patterns in cells and transmit these patterns over cell generations, thereby influencing each cell's epigenetic states. Three primary DNA methyltransferases have been identified in mammals: DNMT1, DNMT3A and DNMT3B. Extensive in vitro studies have in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307717/ https://www.ncbi.nlm.nih.gov/pubmed/22442664 http://dx.doi.org/10.1371/journal.pone.0032225 |
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author | Fu, Audrey Q. Genereux, Diane P. Stöger, Reinhard Burden, Alice F. Laird, Charles D. Stephens, Matthew |
author_facet | Fu, Audrey Q. Genereux, Diane P. Stöger, Reinhard Burden, Alice F. Laird, Charles D. Stephens, Matthew |
author_sort | Fu, Audrey Q. |
collection | PubMed |
description | DNA methyltransferases establish methylation patterns in cells and transmit these patterns over cell generations, thereby influencing each cell's epigenetic states. Three primary DNA methyltransferases have been identified in mammals: DNMT1, DNMT3A and DNMT3B. Extensive in vitro studies have investigated key properties of these enzymes, namely their substrate specificity and processivity. Here we study these properties in vivo, by applying novel statistical analysis methods to double-stranded DNA methylation patterns collected using hairpin-bisulfite PCR. Our analysis fits a novel Hidden Markov Model (HMM) to the observed data, allowing for potential bisulfite conversion errors, and yields statistical estimates of parameters that quantify enzyme processivity and substrate specificity. We apply this model to methylation patterns established in vivo at three loci in humans: two densely methylated inactive X (Xi)-linked loci ([Image: see text] and [Image: see text]), and an autosomal locus ([Image: see text]), where methylation densities are tissue-specific but moderate. We find strong evidence for a high level of processivity of DNMT1 at [Image: see text] and [Image: see text], with the mean association tract length being a few hundred base pairs. Regardless of tissue types, methylation patterns at [Image: see text] are dominated by DNMT1 maintenance events, similar to the two Xi-linked loci, but are insufficiently informative regarding processivity to draw any conclusions about processivity at that locus. At all three loci we find that DNMT1 shows a strong preference for adding methyl groups to hemi-methylated CpG sites over unmethylated sites. The data at all three loci also suggest low (possibly 0) association of the de novo methyltransferases, the DNMT3s, and are consequently uninformative about processivity or preference of these enzymes. We also extend our HMM to reanalyze published data on mouse DNMT1 activities in vitro. The results suggest shorter association tracts (and hence weaker processivity), and much longer non-association tracts than human DNMT1 in vivo. |
format | Online Article Text |
id | pubmed-3307717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33077172012-03-22 Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns Fu, Audrey Q. Genereux, Diane P. Stöger, Reinhard Burden, Alice F. Laird, Charles D. Stephens, Matthew PLoS One Research Article DNA methyltransferases establish methylation patterns in cells and transmit these patterns over cell generations, thereby influencing each cell's epigenetic states. Three primary DNA methyltransferases have been identified in mammals: DNMT1, DNMT3A and DNMT3B. Extensive in vitro studies have investigated key properties of these enzymes, namely their substrate specificity and processivity. Here we study these properties in vivo, by applying novel statistical analysis methods to double-stranded DNA methylation patterns collected using hairpin-bisulfite PCR. Our analysis fits a novel Hidden Markov Model (HMM) to the observed data, allowing for potential bisulfite conversion errors, and yields statistical estimates of parameters that quantify enzyme processivity and substrate specificity. We apply this model to methylation patterns established in vivo at three loci in humans: two densely methylated inactive X (Xi)-linked loci ([Image: see text] and [Image: see text]), and an autosomal locus ([Image: see text]), where methylation densities are tissue-specific but moderate. We find strong evidence for a high level of processivity of DNMT1 at [Image: see text] and [Image: see text], with the mean association tract length being a few hundred base pairs. Regardless of tissue types, methylation patterns at [Image: see text] are dominated by DNMT1 maintenance events, similar to the two Xi-linked loci, but are insufficiently informative regarding processivity to draw any conclusions about processivity at that locus. At all three loci we find that DNMT1 shows a strong preference for adding methyl groups to hemi-methylated CpG sites over unmethylated sites. The data at all three loci also suggest low (possibly 0) association of the de novo methyltransferases, the DNMT3s, and are consequently uninformative about processivity or preference of these enzymes. We also extend our HMM to reanalyze published data on mouse DNMT1 activities in vitro. The results suggest shorter association tracts (and hence weaker processivity), and much longer non-association tracts than human DNMT1 in vivo. Public Library of Science 2012-03-19 /pmc/articles/PMC3307717/ /pubmed/22442664 http://dx.doi.org/10.1371/journal.pone.0032225 Text en Fu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Fu, Audrey Q. Genereux, Diane P. Stöger, Reinhard Burden, Alice F. Laird, Charles D. Stephens, Matthew Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns |
title | Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns |
title_full | Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns |
title_fullStr | Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns |
title_full_unstemmed | Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns |
title_short | Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns |
title_sort | statistical inference of in vivo properties of human dna methyltransferases from double-stranded methylation patterns |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3307717/ https://www.ncbi.nlm.nih.gov/pubmed/22442664 http://dx.doi.org/10.1371/journal.pone.0032225 |
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