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Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics
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, whic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581029/ https://www.ncbi.nlm.nih.gov/pubmed/36303769 http://dx.doi.org/10.3389/fbinf.2021.742216 |
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author | Pancaldi, Vera |
author_facet | Pancaldi, Vera |
author_sort | Pancaldi, Vera |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9581029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95810292022-10-26 Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics Pancaldi, Vera Front Bioinform Bioinformatics 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. Frontiers Media S.A. 2021-10-27 /pmc/articles/PMC9581029/ /pubmed/36303769 http://dx.doi.org/10.3389/fbinf.2021.742216 Text en Copyright © 2021 Pancaldi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Pancaldi, Vera Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics |
title | Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics |
title_full | Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics |
title_fullStr | Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics |
title_full_unstemmed | Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics |
title_short | Chromatin Network Analyses: Towards Structure-Function Relationships in Epigenomics |
title_sort | chromatin network analyses: towards structure-function relationships in epigenomics |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581029/ https://www.ncbi.nlm.nih.gov/pubmed/36303769 http://dx.doi.org/10.3389/fbinf.2021.742216 |
work_keys_str_mv | AT pancaldivera chromatinnetworkanalysestowardsstructurefunctionrelationshipsinepigenomics |