Literature DB >> 23706300

An integrated workflow for DNA methylation analysis.

Pingchuan Li1, Feray Demirci, Gayathri Mahalingam, Caghan Demirci, Mayumi Nakano, Blake C Meyers.   

Abstract

The analysis of cytosine methylation provides a new way to assess and describe epigenetic regulation at a whole-genome level in many eukaryotes. DNA methylation has a demonstrated role in the genome stability and protection, regulation of gene expression and many other aspects of genome function and maintenance. BS-seq is a relatively unbiased method for profiling the DNA methylation, with a resolution capable of measuring methylation at individual cytosines. Here we describe, as an example, a workflow to handle DNA methylation analysis, from BS-seq library preparation to the data visualization. We describe some applications for the analysis and interpretation of these data. Our laboratory provides public access to plant DNA methylation data via visualization tools available at our "Next-Gen Sequence" websites (http://mpss.udel.edu), along with small RNA, RNA-seq and other data types.
Copyright © 2013. Published by Elsevier Ltd.

Mesh:

Year:  2013        PMID: 23706300     DOI: 10.1016/j.jgg.2013.03.010

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  12 in total

1.  Hydrogen Sulfide Maintains Mitochondrial DNA Replication via Demethylation of TFAM.

Authors:  Shuangshuang Li; Guangdong Yang
Journal:  Antioxid Redox Signal       Date:  2015-05-14       Impact factor: 8.401

2.  A simple flow cytometry-based assay to study global methylation levels in onion, a non-model species.

Authors:  Saravanakumar Somasundaram; Viswanathan Satheesh; Major Singh; Sivalingam Anandhan
Journal:  Physiol Mol Biol Plants       Date:  2021-08-10

Review 3.  Epigenetic insights in the diagnosis, prognosis, and treatment selection in CRC, an updated review.

Authors:  Farzaneh Ghadiri Moghaddam; Safar Farajnia; Mohammad Karbalaei-Mahdi; Laleh Monir
Journal:  Mol Biol Rep       Date:  2022-06-21       Impact factor: 2.742

4.  DDMGD: the database of text-mined associations between genes methylated in diseases from different species.

Authors:  Arwa Bin Raies; Hicham Mansour; Roberto Incitti; Vladimir B Bajic
Journal:  Nucleic Acids Res       Date:  2014-11-14       Impact factor: 16.971

Review 5.  DNA Methylation Analysis: Choosing the Right Method.

Authors:  Sergey Kurdyukov; Martyn Bullock
Journal:  Biology (Basel)       Date:  2016-01-06

6.  TEA: the epigenome platform for Arabidopsis methylome study.

Authors:  Sheng-Yao Su; Shu-Hwa Chen; I-Hsuan Lu; Yih-Shien Chiang; Yu-Bin Wang; Pao-Yang Chen; Chung-Yen Lin
Journal:  BMC Genomics       Date:  2016-12-22       Impact factor: 3.969

7.  Frequency of heavy vehicle traffic and association with DNA methylation at age 18 years in a subset of the Isle of Wight birth cohort.

Authors:  A Commodore; N Mukherjee; D Chung; E Svendsen; J Vena; J Pearce; J Roberts; S H Arshad; W Karmaus
Journal:  Environ Epigenet       Date:  2019-01-23

8.  Polymerase chain reaction - surface-enhanced Raman spectroscopy (PCR-SERS) method for gene methylation level detection in plasma.

Authors:  Xiaozhou Li; Tianyue Yang; Caesar Siqi Li; Youtao Song; Deli Wang; Lili Jin; Hong Lou; Wei Li
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

Review 9.  In Response to Abiotic Stress, DNA Methylation Confers EpiGenetic Changes in Plants.

Authors:  Zahida Akhter; Zhenzhen Bi; Kazim Ali; Chao Sun; Sajid Fiaz; Fasih Ullah Haider; Jiangping Bai
Journal:  Plants (Basel)       Date:  2021-05-30

10.  Whole genome DNA methylation sequencing of the chicken retina, cornea and brain.

Authors:  Isac Lee; Bejan A Rasoul; Ashton S Holub; Alannah Lejeune; Raymond A Enke; Winston Timp
Journal:  Sci Data       Date:  2017-10-10       Impact factor: 6.444

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