Literature DB >> 31078719

Nucleotide distance influences co-methylation between nearby CpG sites.

Ornella Affinito1, Domenico Palumbo2, Annalisa Fierro3, Mariella Cuomo4, Giulia De Riso4, Antonella Monticelli5, Gennaro Miele6, Lorenzo Chiariotti7, Sergio Cocozza2.   

Abstract

The tendency of individual CpG sites to be methylated is distinctive, non-random and well-regulated throughout the genome. We investigated the structural and spatial factors influencing CpGs methylation by performing an ultra-deep targeted methylation analysis on human, mouse and zebrafish genes. We found that methylation is not a random process and that closer neighboring CpG sites are more likely to share the same methylation status. Moreover, if the distance between CpGs increases, the degree of co-methylation decreases. We set up a simulation model to analyze the contribution of both the intrinsic susceptibility and the distance effect on the probability of a CpG to be methylated. Our finding suggests that the establishment of a specific methylation pattern follows a universal rule that must take into account of the synergistic and dynamic interplay of these two main factors: the intrinsic methylation susceptibility of specific CpG and the nucleotide distance between two CpG sites.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Co-methylation; DNA methylation; Intrinsic methylation susceptibility; Nearby CpG sites; Nucleotide distance effect

Mesh:

Substances:

Year:  2019        PMID: 31078719     DOI: 10.1016/j.ygeno.2019.05.007

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  18 in total

1.  Random Field Modeling of Multi-trait Multi-locus Association for Detecting Methylation Quantitative Trait Loci.

Authors:  Chen Lyu; Manyan Huang; Nianjun Liu; Zhongxue Chen; Philip J Lupo; Benjamin Tycko; John S Witte; Charlotte A Hobbs; Ming Li
Journal:  Bioinformatics       Date:  2022-07-04       Impact factor: 6.931

2.  Systemic Investigation of Promoter-wide Methylome and Genome Variations in Gout.

Authors:  Chia-Chun Tseng; Man Chun Wong; Wei-Ting Liao; Chung-Jen Chen; Su-Chen Lee; Jeng-Hsien Yen; Shun-Jen Chang
Journal:  Int J Mol Sci       Date:  2020-07-01       Impact factor: 5.923

3.  The DNA hypermethylation phenotype of colorectal cancer liver metastases resembles that of the primary colorectal cancers.

Authors:  Stephany Orjuela; Mirco Menigatti; Peter Schraml; Patryk Kambakamba; Mark D Robinson; Giancarlo Marra
Journal:  BMC Cancer       Date:  2020-04-06       Impact factor: 4.430

4.  Genome-wide detection of cytosine methylation by single molecule real-time sequencing.

Authors:  O Y Olivia Tse; Peiyong Jiang; Suk Hang Cheng; Wenlei Peng; Huimin Shang; John Wong; Stephen L Chan; Liona C Y Poon; Tak Y Leung; K C Allen Chan; Rossa W K Chiu; Y M Dennis Lo
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-02       Impact factor: 11.205

5.  Disentangling tumorigenesis-associated DNA methylation changes in colorectal tissues from those associated with ageing.

Authors:  Stephany Orjuela; Hannah R Parker; Sija Sajibu; Fabrizio Cereatti; Matthias Sauter; Federico Buffoli; Mark D Robinson; Giancarlo Marra
Journal:  Epigenetics       Date:  2021-08-09       Impact factor: 4.861

6.  Gene-methylation interactions: discovering region-wise DNA methylation levels that modify SNP-associated disease risk.

Authors:  Julia Romanowska; Øystein A Haaland; Astanand Jugessur; Miriam Gjerdevik; Zongli Xu; Jack Taylor; Allen J Wilcox; Inge Jonassen; Rolv T Lie; Håkon K Gjessing
Journal:  Clin Epigenetics       Date:  2020-07-16       Impact factor: 6.551

7.  DAMEfinder: a method to detect differential allele-specific methylation.

Authors:  Stephany Orjuela; Dania Machlab; Mirco Menigatti; Giancarlo Marra; Mark D Robinson
Journal:  Epigenetics Chromatin       Date:  2020-06-01       Impact factor: 4.954

8.  Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis.

Authors:  Antonella De Lillo; Gita A Pathak; Flavio De Angelis; Marco Di Girolamo; Marco Luigetti; Mario Sabatelli; Federico Perfetto; Sabrina Frusconi; Dario Manfellotto; Maria Fuciarelli; Renato Polimanti
Journal:  Clin Epigenetics       Date:  2020-11-17       Impact factor: 6.551

9.  Modeling DNA Methylation Profiles through a Dynamic Equilibrium between Methylation and Demethylation.

Authors:  Giulia De Riso; Damiano Francesco Giuseppe Fiorillo; Annalisa Fierro; Mariella Cuomo; Lorenzo Chiariotti; Gennaro Miele; Sergio Cocozza
Journal:  Biomolecules       Date:  2020-09-03

10.  Distinct viral reservoirs in individuals with spontaneous control of HIV-1.

Authors:  Chenyang Jiang; Xiaodong Lian; Ce Gao; Xiaoming Sun; Kevin B Einkauf; Joshua M Chevalier; Samantha M Y Chen; Stephane Hua; Ben Rhee; Kaylee Chang; Jane E Blackmer; Matthew Osborn; Michael J Peluso; Rebecca Hoh; Ma Somsouk; Jeffrey Milush; Lynn N Bertagnolli; Sarah E Sweet; Joseph A Varriale; Peter D Burbelo; Tae-Wook Chun; Gregory M Laird; Erik Serrao; Alan N Engelman; Mary Carrington; Robert F Siliciano; Janet M Siliciano; Steven G Deeks; Bruce D Walker; Mathias Lichterfeld; Xu G Yu
Journal:  Nature       Date:  2020-08-26       Impact factor: 69.504

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