Epigenetics Conference (From Mechanisms to Disease) is organized by Fusion Conferences ltd and will be held during Feb 15 - 18, 2018 at Fiesta Americana Condesa Cancun All Inclusive, Cancun, Quintana Roo, Mexico.
The target audience for this medical event is Ph.D. students, post-doc and group leaders working in the field of chromatin architecture, epigenetics, stem cell biology and cancer.
Conference Description :
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The DNA of eukaryotic cells is organized into chromatin fibers, where the nucleosome is the basic repeating unit. Chromatin is thus at the core of fundamental processes such as gene regulation, stem cell fate determination, and cancer. By and large, these topics have traditionally been covered by separated meetings. However, recent literature indicates that the boundaries among these various disciplines are becoming less clear. This meeting on "Epigenetics: from mechanisms to disease" will bring together scientists studying chromatin architecture, epigenetics, stem cell biology and cancer. The talks will cover a broad range of topics, including chromosome organization, long-range interactions, chromatin assembly, stem cell regulation/differentiation, RNA-based mechanisms and transcription regulation.
Speakers have been selected to broadly reflect lessons learned from a variety of model organisms and experimental approaches. Young scientists will be able to present their work through a large number of short talks selected from submitted abstracts as well as through poster presentation. The program has also allocated ample time for exchanging ideas and discussing novel hypotheses at the end of each session, as well as time for informal interactions and networking.
Scientific chairs:
Giacomo Cavalli
PhD, Centre National de la Recherche Scientifique
Luciano Di Croce
Dr., Centre for Genomic Regulation
Conference Objectives are :
This conference integrates the burgeoning field of epigenetics with the underlying processes of chromatin organization, transcription regulation and aspects of stem cell biology. This knowledge can be exploited for the generation and improvement of novel tools for the prediction, the diagnosis, and eventually the individualized treatment of human diseases.