Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics

被引:7
|
作者
Pancaldi, Vera [1 ,2 ]
机构
[1] Univ Paul Sabatier, Ctr Natl Rech Sci CNRS U5071, Inst Natl Sante & Rech Med Inserm U1037, Ctr Rech Canc Toulouse CRCT, Toulouse, France
[2] Barcelona Supercomp Ctr, Barcelona, Spain
来源
关键词
chromatin networks; nucleome; epigenomics; variability; structure-function; complex networks; Hi-C; TOPOLOGICALLY ASSOCIATING DOMAINS; LONG-RANGE INTERACTIONS; GENOME; ORGANIZATION; ARCHITECTURE; MODULARITY; STRESS; YEAST; EVOLUTION; RESPONSES;
D O I
10.3389/fbinf.2021.742216
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Recent technological advances have allowed us to map chromatin conformation and uncover the genome's spatial organization of the genome inside the nucleus. These experiments have revealed the complexities of genome folding, characterized by the presence of loops and domains at different scales, which can change across development and in different cell types. There is strong evidence for a relationship between the topological properties of chromatin contacts and cellular phenotype. Chromatin can be represented as a network, in which genomic fragments are the nodes and connections represent experimentally observed spatial proximity of two genomically distant regions in a specific cell type or biological condition. With this approach we can consider a variety of chromatin features in association with the 3D structure, investigating how nuclear chromatin organization can be related to gene regulation, replication, malignancy, phenotypic variability and plasticity. We briefly review the results obtained on genome architecture through network theoretic approaches. As previously observed in protein-protein interaction networks and many types of non-biological networks, external conditions could shape network topology through a yet unidentified structure-function relationship. Similar to scientists studying the brain, we are confronted with a duality between a spatially embedded network of physical contacts, a related network of correlation in the dynamics of network nodes and, finally, an abstract definition of function of this network, related to phenotype. We summarise major developments in the study of networks in other fields, which we think can suggest a path towards better understanding how 3D genome configuration can impact biological function and adaptation to the environment.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Structure-function relationships in chromatin
    Garrard, WT
    METHODS-A COMPANION TO METHODS IN ENZYMOLOGY, 1999, 17 (02): : 93 - 94
  • [2] Towards an understanding of electrogenic cotransporters: structure-function relationships
    Forster, IC
    PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY, 2001, 443 (02): : 163 - 165
  • [3] Towards an understanding of electrogenic cotransporters: structure-function relationships
    Ian C. Forster
    Pflügers Archiv, 2001, 443 : 163 - 165
  • [4] Towards an understanding of organic anion transporters: Structure-function relationships
    You, GF
    MEDICINAL RESEARCH REVIEWS, 2004, 24 (06) : 762 - 774
  • [5] Hydrogels in regenerative medicine: towards understanding structure-function relationships
    Mather, Melissa L.
    Tomlins, Paul E.
    REGENERATIVE MEDICINE, 2010, 5 (05) : 809 - 821
  • [6] Crystallographic tools towards understanding of macromolecular structure-function relationships
    Minor, Wladek
    Porebski, Przemyslaw
    Shabalin, Ivan
    Zheng, Heping
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2017, 73 : C35 - C35
  • [7] SIR-nucleosome interactions: Structure-function relationships in yeast silent chromatin
    Oppikofer, Mariano
    Kueng, Stephanie
    Gasser, Susan M.
    GENE, 2013, 527 (01) : 10 - 25
  • [8] Dynamical models to evaluate structure-function relationships in network neuroscience
    Luppi, Andrea I.
    Cabral, Joana
    Cofre, Rodrigo
    Destexhe, Alain
    Deco, Gustavo
    Kringelbach, Morten L.
    NATURE REVIEWS NEUROSCIENCE, 2022, 23 (12) : 767 - 768
  • [9] Personalized brain network models for assessing structure-function relationships
    Bansal, Kanika
    Nakuci, Johan
    Muldoon, Sarah Feldt
    CURRENT OPINION IN NEUROBIOLOGY, 2018, 52 : 42 - 47
  • [10] Network-Level Structure-Function Relationships in Human Neocortex
    Misic, Bratislav
    Betzel, Richard F.
    de Reus, Marcel A.
    van den Heuvel, Martijn P.
    Berman, Marc G.
    McIntosh, Anthony R.
    Sporns, Olaf
    CEREBRAL CORTEX, 2016, 26 (07) : 3285 - 3296