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  5. Data from A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition

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Preprint
en
2023

Data from A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition

0 Datasets

0 Files

en
2023
DOI: 10.1158/0008-5472.c.6506381

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Manel Esteller
Manel Esteller

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F. Javier Carmona
Verónica Dávalos
Enrique Vidal
+19 more

Abstract

<div>Abstract<p>Epithelial-to-mesenchymal transition (EMT) is a plastic process in which fully differentiated epithelial cells are converted into poorly differentiated, migratory and invasive mesenchymal cells, and it has been related to the metastasis potential of tumors. This is a reversible process and cells can also eventually undergo mesenchymal-to-epithelial transition. The existence of a dynamic EMT process suggests the involvement of epigenetic shifts in the phenotype. Herein, we obtained the DNA methylomes at single-base resolution of Madin–Darby canine kidney cells undergoing EMT and translated the identified differentially methylated regions to human breast cancer cells undergoing a gain of migratory and invasive capabilities associated with the EMT phenotype. We noticed dynamic and reversible changes of DNA methylation, both on promoter sequences and gene-bodies in association with transcription regulation of EMT-related genes. Most importantly, the identified DNA methylation markers of EMT were present in primary mammary tumors in association with the epithelial or the mesenchymal phenotype of the studied breast cancer samples. <i>Cancer Res; 74(19); 5608–19. ©2014 AACR</i>.</p></div>

How to cite this publication

F. Javier Carmona, Verónica Dávalos, Enrique Vidal, Antonio Gómez, Holger Heyn, Yutaka Hashimoto, Miguel Vizoso, Anna Martínez‐Cardús, Sergi Sayols, Humberto J. Ferreira, José V. Sánchez‐Mut, Sebastián Morán, Mireia Margelí Vila, Eva Castellà, María Berdasco, Ólafur Andri Stefánsson, Jorunn E. Eyfjord, Eva González‐Suárez, Joaquı́n Dopazo, Modesto Orozco, Marta Gut, Manel Esteller (2023). Data from A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition. , DOI: https://doi.org/10.1158/0008-5472.c.6506381.

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Publication Details

Type

Preprint

Year

2023

Authors

22

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1158/0008-5472.c.6506381

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