Literature DB >> 24773292

Methylated DNA immunoprecipitation and high-throughput sequencing (MeDIP-seq) using low amounts of genomic DNA.

Ming-Tao Zhao1, Jeffrey J Whyte, Garrett M Hopkins, Mark D Kirk, Randall S Prather.   

Abstract

DNA modifications, such as methylation and hydroxymethylation, are pivotal players in modulating gene expression, genomic imprinting, X-chromosome inactivation, and silencing repetitive sequences during embryonic development. Aberrant DNA modifications lead to embryonic and postnatal abnormalities and serious human diseases, such as cancer. Comprehensive genome-wide DNA methylation and hydroxymethylation studies provide a way to thoroughly understand normal development and to identify potential epigenetic mutations in human diseases. Here we established a working protocol for methylated DNA immunoprecipitation combined with next-generation sequencing [methylated DNA immunoprecipitation (MeDIP)-seq] for low starting amounts of genomic DNA. By using spike-in control DNA sets with standard cytosine, 5-methylcytosine (5mC), and 5-hydroxymethylcytosine (5hmC), we demonstrate the preferential binding of antibodies to 5mC and 5hmC, respectively. MeDIP-PCRs successfully targeted highly methylated genomic loci with starting genomic DNA as low as 1 ng. The enrichment efficiency declined for constant spiked-in controls but increased for endogenous methylated regions. A MeDIP-seq library was constructed starting with 1 ng of DNA, with the majority of fragments between 250 bp and 600 bp. The MeDIP-seq reads showed higher quality than the Input control. However, after being preprocessed by Cutadapt, MeDIP (97.53%) and Input (94.98%) reads showed comparable alignment rates. SeqMonk visualization tools indicated MeDIP-seq reads were less uniformly distributed across the genome than Input reads. Several commonly known unmethylated and methylated genomic loci showed consistent methylation patterns in the MeDIP-seq data. Thus, we provide proof-of-principle that MeDIP-seq technology is feasible to profile genome-wide DNA methylation in minute DNA samples, such as oocytes, early embryos, and human biopsies.

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Year:  2014        PMID: 24773292     DOI: 10.1089/cell.2014.0002

Source DB:  PubMed          Journal:  Cell Reprogram        ISSN: 2152-4971            Impact factor:   1.987


  17 in total

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3.  The Chromatin Accessibility Landscape of Peripheral Blood Mononuclear Cells in Patients With Systemic Lupus Erythematosus at Single-Cell Resolution.

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Review 4.  Profiling genome-wide DNA methylation.

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6.  Transcriptomics and methylomics of CD4-positive T cells in arsenic-exposed women.

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8.  Effect of prematurity on genome wide methylation in the placenta.

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9.  Genome-wide DNA methylation profiling with MeDIP-seq using archived dried blood spots.

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Journal:  Front Genet       Date:  2020-03-24       Impact factor: 4.599

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