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Dynamic evolution of clonal epialleles revealed by methclone

We describe methclone, a novel method to identify epigenetic loci that harbor large changes in the clonality of their epialleles (epigenetic alleles). Methclone efficiently analyzes genome-wide DNA methylation sequencing data. We quantify the changes using a composition entropy difference calculatio...

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Detalles Bibliográficos
Autores principales: Li, Sheng, Garrett-Bakelman, Francine, Perl, Alexander E, Luger, Selina M, Zhang, Chao, To, Bik L, Lewis, Ian D, Brown, Anna L, D’Andrea, Richard J, Ross, M Elizabeth, Levine, Ross, Carroll, Martin, Melnick, Ari, Mason, Christopher E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4242486/
https://www.ncbi.nlm.nih.gov/pubmed/25260792
http://dx.doi.org/10.1186/s13059-014-0472-5
Descripción
Sumario:We describe methclone, a novel method to identify epigenetic loci that harbor large changes in the clonality of their epialleles (epigenetic alleles). Methclone efficiently analyzes genome-wide DNA methylation sequencing data. We quantify the changes using a composition entropy difference calculation and also introduce a new measure of global clonality shift, loci with epiallele shift per million loci covered, which enables comparisons between different samples to gauge overall epiallelic dynamics. Finally, we demonstrate the utility of methclone in capturing functional epiallele shifts in leukemia patients from diagnosis to relapse. Methclone is open-source and freely available at https://code.google.com/p/methclone. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0472-5) contains supplementary material, which is available to authorized users.