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Consortium CHROCONET (2023 - 2025)

An interdisciplinary network for 3D genomics

in the nucleus of a cell, the three-dimensional conformation of the genome has a major impact on how it functions. A better understanding of the links between the 3D structure of the genome and its functioning represents a methodological challenge and requires dialogue between different disciplines

Context and challenges

In the nucleus of an or plant cell, the three-dimensional conformation of the genome has a major impact on how it functions, affecting key processes such as cell differentiation, embryonic development and organism survival. It is known that the 3D structures regulating these processes are organised hierarchically at various levels of scale. However, little is known about the multi-scale dynamics of these structures and their interactions, limiting our understanding of the links between genome structure and function.
Recent advances in molecular biology have made it possible to change the way in which the spatial organisation of chromosomes is studied, thanks to DNA sequencing technology known as Hi-C (High-throughput chromosome conformation capture).
However, the data generated in this way is difficult to analyse, mainly because of its particular format: the distances between genome positions form a matrix. Identifying significant differences between groups of large matrices, for example, represents a significant methodological challenge.

Objectives

The CHROCONET (CHROmatin COnformation NETwork) aims to bring together an interdisciplinary community and promote scientific exchanges around the comparative analysis of 3D genomics data.  

The nature of the project and the issues at stake require collaboration between different fields. The consortium therefore involves several complementary disciplines:

  • cell biology and molecular genetics, for data production and interpretation of results
  • mathematics and statistics, for methodological developments, in particular concerning the modelling and statistical validity of the tests to be carried out
  • bioinformatics, for processing sequencing data, implementing software and organising data, metadata and results.

Building on this original collaboration, the CHROCONET consortium aims to improve Hi-C data analysis methods to better understand the links between the 3D structure of the genome and its functioning.

Contacts :

 

Units involved and partnerships

INRAE participants

Mathematics and digital technologies division

Expertise

UR MIAT

Statistics, Biostatistics, Mathematics, Computer science, Machine learning

Animal Genetics division

 

UMR GenPhyse

Bioinformatics, animal genomics, cell biology

UMR GABI

Cellular and molecular biology

Get-PlaGE

Molecular biology, biotechnology

Plant Biology and Breeding division

 

IPS2

Cell biology, plant genomics

Partners

Institute

Expertise

CNRS

Statistics, biostatistics, bioinformatics

INSERM

Bioinformatics

CRG (Barcelone)

Molecular and cellular biology