Targeted bisulfite sequencing reveals changes in DNA methylation associated with nuclear reprogramming View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-04

AUTHORS

Jie Deng, Robert Shoemaker, Bin Xie, Athurva Gore, Emily M LeProust, Jessica Antosiewicz-Bourget, Dieter Egli, Nimet Maherali, In-Hyun Park, Junying Yu, George Q Daley, Kevin Eggan, Konrad Hochedlinger, James Thomson, Wei Wang, Yuan Gao, Kun Zhang

ABSTRACT

Current DNA methylation assays are limited in the flexibility and efficiency of characterizing a large number of genomic targets. We report a method to specifically capture an arbitrary subset of genomic targets for single-molecule bisulfite sequencing for digital quantification of DNA methylation at single-nucleotide resolution. A set of ~30,000 padlock probes was designed to assess methylation of ~66,000 CpG sites within 2,020 CpG islands on human chromosome 12, chromosome 20, and 34 selected regions. To investigate epigenetic differences associated with dedifferentiation, we compared methylation in three human fibroblast lines and eight human pluripotent stem cell lines. Chromosome-wide methylation patterns were similar among all lines studied, but cytosine methylation was slightly more prevalent in the pluripotent cells than in the fibroblasts. Induced pluripotent stem (iPS) cells appeared to display more methylation than embryonic stem cells. We found 288 regions methylated differently in fibroblasts and pluripotent cells. This targeted approach should be particularly useful for analyzing DNA methylation in large genomes. More... »

PAGES

353-360

Journal

TITLE

Nature Biotechnology

ISSUE

4

VOLUME

27

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nbt.1530

DOI

http://dx.doi.org/10.1038/nbt.1530

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031583743

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19330000


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

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