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Scientists call for unified standards in 3D genome and epigenetic data

Studying the three-dimensional structure of DNA and its dynamics is revealing a lot of information about gene expression, expanding our knowledge of how cells, tissues and organs actually work in health and disease. Properly producing and managing this large amount of data is both challenging and necessary for the progress of this field. In a perspective paper published in Nature Genetics, top researchers call for unified standards and suggest guidelines in this emerging and promising research area.
 
Just as a map of the world is more than a list of places and street names, the genome is more than a string of letters. A complex choreography of proteins and nucleic acids interact differentially over time in the DNA, thus cells can selectively manage genetic information during development and cell differentiation or in response to physiological and environmental aspects.
 
Scientists worldwide are developing new technologies and making progress towards understanding the dynamics of three-dimensional organization of the nucleus. This new approach will allow researchers to map the differences between cell types, to explore how gene expression actually works in health or disease, and to discover how DNA functions are achieved even it is packed within the tiny nucleus.

“The missing link to understanding how our genomes function turns out to be imagining it in its proper three dimensional context.” commented Dr Peter Fraser, affiliate researcher at the ����������̳ and at Florida State University. “New technologies have allowed us to examine the complexity of 3D chromosome folding and genome organisation in unprecedented detail. These massive datasets show that dynamic genome folding modulates gene expression, and raises genetic and epigenetic information into new and more meaningful contexts that result in a greater comprehension of the mechanisms of control.
 
“Here we make a global call for unified standards in this rapidly developing field to increase interoperability and sharing of data to meet the global challenges of understanding genome function in health and disease.”
 
, top leading scientists in the field of dynamics and structural genomics have called for standards in 3D genome and epigenetic data. They describe the main challenges in this field and provide guidelines to think about strategies for shared standardized validation of 4D nucleome data sets and models.
 
This paper comes out of their experience in the 4D Nucleome Initiative as part of the for a new FET-Flagship in Europe to understand how genomes function within cells, and how cells form tissues and dynamically remodel their activities when tissues progress towards disease.
 
With this call for standards, international experts at the in Paris, at Univeristy of Edinburgh, the Centre de Biologie Intégrative at the University of Toulouse, the in Montpellier, the ����������̳ in Cambridge, the in Forida (US), the in Basel, the Napoli University, the , the IRB Barcelona, the in Berlin, the Institute for Epigenetics and Stem Cells Helmholtz Zentrum Muenchen in Munich, and the of the Centre for Genomic Regulation (CNAG-CRG) in Barcelona, want to ensure that information is properly characterized, validated and shared, and that resources are efficiently used.

NOTES TO THE EDITOR

This press release was initiated by the Centre for Genomic Regulation (CRG), Barcelona, find it on their site .
 
About the 4D Nucleome and the LifeTime Initiatives
The 4D Nucleome Initiative aims to decipher the structure-function relationships of the cell nucleus as a complex biological system at all levels, from molecules to entire genomic and epigenomic landscapes, as they respond and adapt to environmental changes, as well as changes during development, cell reprogramming and ageing.
 
The 4D Nucleome Initiative is one of the pillars of the larger that calls for a new FET-Flagship in Europe to understand how genomes function within cells, and how cells form tissues and dynamically remodel their activities when tissues progress towards disease.
 
Reference: MA. Marti-Renom et al. 4D Nucleome: challenges and guidelines towards data and model standards. Nature Genetics 50, pages1352–1358 (2018). DOI:
 
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