Literature DB >> 23426092

Mouse models in epigenetics: insights in development and disease.

Jesús Espada1, Manel Esteller.   

Abstract

Epigenetics is devoted to the study of molecular mechanisms that can modify the structure of the chromatin fiber and, in that way, regulate large-scale patterns of gene transcription. In mammals, most molecular mechanisms that are considered 'epigenetic' have key roles during development and in adult cells and tissues, and have been implicated in a number of human diseases, including cancer. Here, we outline a brief overview on the contribution of the mouse model system to the emergence of epigenetics as a research field on its own.

Entities:  

Keywords:  cancer; epigenetic; mouse model

Mesh:

Year:  2013        PMID: 23426092     DOI: 10.1093/bfgp/elt005

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  4 in total

Review 1.  Sleep Deprivation and the Epigenome.

Authors:  Marie E Gaine; Snehajyoti Chatterjee; Ted Abel
Journal:  Front Neural Circuits       Date:  2018-02-27       Impact factor: 3.492

2.  4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network.

Authors:  Zeeshan Abbas; Hilal Tayara; Kil To Chong
Journal:  Genes (Basel)       Date:  2021-02-20       Impact factor: 4.096

3.  Conservation of Aging and Cancer Epigenetic Signatures across Human and Mouse.

Authors:  Raúl F Pérez; Juan Ramón Tejedor; Pablo Santamarina-Ojeda; Virginia López Martínez; Rocío G Urdinguio; Lucía Villamañán; Ana Paula Candiota; N Mí Vidal Sarró; Marta Barradas; Pablo Jose Fernandez-Marcos; Manuel Serrano; Agusín F Fernández; Mario F Fraga
Journal:  Mol Biol Evol       Date:  2021-07-29       Impact factor: 16.240

4.  4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-methylcytosine Sites in the Mouse Genome.

Authors:  Balachandran Manavalan; Shaherin Basith; Tae Hwan Shin; Da Yeon Lee; Leyi Wei; Gwang Lee
Journal:  Cells       Date:  2019-10-28       Impact factor: 6.600

  4 in total

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