Literature DB >> 27581143

DREAM: A Simple Method for DNA Methylation Profiling by High-throughput Sequencing.

Jaroslav Jelinek1, Jozef Madzo2.   

Abstract

The digital restriction enzyme analysis of methylation (DREAM) is a simple method for DNA methylation analysis at tens of thousands of CpG sites across the genome. The method creates specific signatures at unmethylated and methylated CpG sites by sequential digests of genomic DNA with restriction endonucleases SmaI and XmaI, respectively. Both enzymes have the same CCCGGG recognition site; however, they differ in their sensitivity to CpG methylation and their cutting pattern. SmaI cuts only unmethylated sites leaving blunt 5'-GGG ends. XmaI cuts remaining methylated CC(me)CGG sites leaving 5'-CCGGG ends. Restriction fragments with distinct signatures at their ends are ligated to Illumina sequencing adaptors with sample-specific barcodes. High-throughput sequencing of pooled libraries follows. Sequencing reads are mapped to the restriction sites in the reference genome, and signatures corresponding to methylation status of individual DNA molecules are resolved. Methylation levels at target CpG sites are calculated as the proportion of sequencing reads with the methylated signature to the total number of reads mapping to the particular restriction site. Aligning the reads to the reference genome of any species is straightforward, since the method does not rely on bisulfite conversion of DNA. Sequencing of 25 million reads per human DNA library yields over 50,000 unique CpG sites with high coverage enabling accurate determination of DNA methylation levels. DREAM has a background less than 1 % making it suitable for accurate detection of low methylation levels. In summary, the method is simple, robust, highly reproducible, and cost-effective.

Entities:  

Keywords:  CpG sites; DNA methylation; DREAM; High-throughput sequencing; Restriction endonuclease; SmaI; XmaI

Mesh:

Substances:

Year:  2016        PMID: 27581143     DOI: 10.1007/978-1-4939-4011-0_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

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Journal:  J Neurosci       Date:  2018-06-06       Impact factor: 6.167

Review 2.  Measuring Animal Age with DNA Methylation: From Humans to Wild Animals.

Authors:  Ricardo De Paoli-Iseppi; Bruce E Deagle; Clive R McMahon; Mark A Hindell; Joanne L Dickinson; Simon N Jarman
Journal:  Front Genet       Date:  2017-08-17       Impact factor: 4.599

3.  Caloric restriction delays age-related methylation drift.

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Journal:  Nat Commun       Date:  2017-09-14       Impact factor: 14.919

4.  Genomic and epigenomic predictors of response to guadecitabine in relapsed/refractory acute myelogenous leukemia.

Authors:  Woonbok Chung; Andrew D Kelly; Patricia Kropf; Henry Fung; Jaroslav Jelinek; Xiang Yao Su; Gail J Roboz; Hagop M Kantarjian; Mohammad Azab; Jean-Pierre J Issa
Journal:  Clin Epigenetics       Date:  2019-07-22       Impact factor: 6.551

Review 5.  DNA Methylation Cancer Biomarkers: Translation to the Clinic.

Authors:  Warwick J Locke; Dominic Guanzon; Chenkai Ma; Yi Jin Liew; Konsta R Duesing; Kim Y C Fung; Jason P Ross
Journal:  Front Genet       Date:  2019-11-14       Impact factor: 4.599

Review 6.  DNA Methylation and Non-Coding RNAs during Tissue-Injury Associated Pain.

Authors:  Jahanzaib Irfan; Muhammad Rizki Febrianto; Anju Sharma; Thomas Rose; Yasamin Mahmudzade; Simone Di Giovanni; Istvan Nagy; Jose Vicente Torres-Perez
Journal:  Int J Mol Sci       Date:  2022-01-11       Impact factor: 5.923

  6 in total

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