DNA methylation at enhancers identifies distinct breast cancer lineages
Breast cancers are classified based on gene expression profiles but it is well known that DNA methylation patterns are also altered. Here the authors, by combining genome-wide DNA methylation and gene expression analysis, identify transcriptional networks regulated by DNA methylation at enhancers ab...
Guardado en:
Autores principales: | Thomas Fleischer, Xavier Tekpli, Anthony Mathelier, Shixiong Wang, Daniel Nebdal, Hari P. Dhakal, Kristine Kleivi Sahlberg, Ellen Schlichting, Oslo Breast Cancer Research Consortium (OSBREAC), Anne-Lise Børresen-Dale, Elin Borgen, Bjørn Naume, Ragnhild Eskeland, Arnoldo Frigessi, Jörg Tost, Antoni Hurtado, Vessela N. Kristensen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/672c1ec295c94bbb9950c3781c1429a7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment
por: Xavier Tekpli, et al.
Publicado: (2019) -
Breast cancer quantitative proteome and proteogenomic landscape
por: Henrik J. Johansson, et al.
Publicado: (2019) -
MicroRNA in combination with HER2-targeting drugs reduces breast cancer cell viability in vitro
por: Lisa Svartdal Normann, et al.
Publicado: (2021) -
miRNA-mRNA integrated analysis reveals roles for miRNAs in primary breast tumors.
por: Espen Enerly, et al.
Publicado: (2011) -
Drosophila HP1c is regulated by an auto-regulatory feedback loop through its binding partner Woc.
por: Jochen Abel, et al.
Publicado: (2009)