An ambitious EC-funded research initiative on epigenetics advancing towards systems biology 104

Institute for Predictive and Personalized Medicine of Cancer, Badalona, Barcelona, Spain

Chromatin and Cell Fate

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What defines the identity of a cell? How do epigenetic mechanism regulate cell fate transitions? How does the metabolism impact on epigenetic regulation? Can we exploit this knowledge for the development of tools for disease management?

These are the questions we address in our research. A strong and basic line of investigation is centered on the histone variant macroH2A. We study its function and regulation on the physiological and molecular level. Other projects focus on novel epigenetic regulators of stem cell function and chromatin alterations involved in oncogenic transformation. A particular interest in the lab is to understand how modulations of the central metabolism affect regulatory epigenetic mechanisms on chromatin.

For the study of stem cell function we rely on plastic cell culture models including different mouse ES cells, muscle precursor cells and human primary keratinocytes and their oncogenic derivatives. Strong results are further validated in a limited number of in vivo experiments using xenografts or tissue regeneration protocols.

Lab members (from second left to right):

  • Catherine Creppe, Postdoc
  • Melanija Posavec, PhD student
  • Anna Palau, PhD student
  • Vanesa Valero, Technician
  • Neus Cantariño, PhD student
  • Roberto Malinverni, Postdoc
  • Julien Douet, Postdoc
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Latest publications

A cellular model reflecting the phenotypic heterogeneity of mutant HRAS driven squamous cell carcinoma.

27074337 – 2016-04-14
Int J Cancer 2016 Apr 13;
Cantariño N, Fernández-Figueras MT, Valero V, Musulén E, Malinverni R, Granada I, Goldie SJ, Martín-Caballero J, Douet J, Forcales SV, Buschbeck M

DNA Hypomethylation and Histone Variant macroH2A1 Synergistically Attenuate Chemotherapy-Induced Senescence to Promote Hepatocellular Carcinoma Progression.

26772755 – 2016-01-17
Cancer Res 2016 Jan 15;
Borghesan M, Fusilli C, Rappa F, Panebianco C, Rizzo G, Oben JA, Mazzoccoli G, Faulkes C, Pata I, Agodi A, Rezaee F, Minogue S, Warren A, Peterson A, Sedivy JM, Douet J, Buschbeck M, Cappello F, Mazza T, Pazienza V, Vinciguerra M

regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests.

26424858 – 2015-10-02
Bioinformatics 2015 Sep 30;
Gel B, Díez-Villanueva A, Serra E, Buschbeck M, Peinado MA, Malinverni RView all their publications

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