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Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling
Reciprocal regulation of genome topology and function is a fundamental and enduring puzzle in biology. The wealth of data provided by Hi-C libraries offers the opportunity to unravel this relationship. However, there is a need for a comprehensive theoretical framework in order to extract topological...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861635/ https://www.ncbi.nlm.nih.gov/pubmed/35243229 http://dx.doi.org/10.1016/j.isci.2022.103866 |
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author | Scalvini, Barbara Schiessel, Helmut Golovnev, Anatoly Mashaghi, Alireza |
author_facet | Scalvini, Barbara Schiessel, Helmut Golovnev, Anatoly Mashaghi, Alireza |
author_sort | Scalvini, Barbara |
collection | PubMed |
description | Reciprocal regulation of genome topology and function is a fundamental and enduring puzzle in biology. The wealth of data provided by Hi-C libraries offers the opportunity to unravel this relationship. However, there is a need for a comprehensive theoretical framework in order to extract topological information for genome characterization and comparison. Here, we develop a toolbox for topological analysis based on Circuit Topology, allowing for the quantification of inter- and intracellular genomic heterogeneity, at various levels of fold complexity: pairwise contact arrangement, higher-order contact arrangement, and topological fractal dimension. Single-cell Hi-C data were analyzed and characterized based on topological content, revealing not only a strong multiscale heterogeneity but also highly conserved features such as a characteristic topological length scale and topological signature motifs in the genome. We propose that these motifs inform on the topological state of the nucleus and indicate the presence of active loop extrusion. |
format | Online Article Text |
id | pubmed-8861635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88616352022-03-02 Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling Scalvini, Barbara Schiessel, Helmut Golovnev, Anatoly Mashaghi, Alireza iScience Article Reciprocal regulation of genome topology and function is a fundamental and enduring puzzle in biology. The wealth of data provided by Hi-C libraries offers the opportunity to unravel this relationship. However, there is a need for a comprehensive theoretical framework in order to extract topological information for genome characterization and comparison. Here, we develop a toolbox for topological analysis based on Circuit Topology, allowing for the quantification of inter- and intracellular genomic heterogeneity, at various levels of fold complexity: pairwise contact arrangement, higher-order contact arrangement, and topological fractal dimension. Single-cell Hi-C data were analyzed and characterized based on topological content, revealing not only a strong multiscale heterogeneity but also highly conserved features such as a characteristic topological length scale and topological signature motifs in the genome. We propose that these motifs inform on the topological state of the nucleus and indicate the presence of active loop extrusion. Elsevier 2022-02-05 /pmc/articles/PMC8861635/ /pubmed/35243229 http://dx.doi.org/10.1016/j.isci.2022.103866 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Scalvini, Barbara Schiessel, Helmut Golovnev, Anatoly Mashaghi, Alireza Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
title | Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
title_full | Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
title_fullStr | Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
title_full_unstemmed | Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
title_short | Circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
title_sort | circuit topology analysis of cellular genome reveals signature motifs, conformational heterogeneity, and scaling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861635/ https://www.ncbi.nlm.nih.gov/pubmed/35243229 http://dx.doi.org/10.1016/j.isci.2022.103866 |
work_keys_str_mv | AT scalvinibarbara circuittopologyanalysisofcellulargenomerevealssignaturemotifsconformationalheterogeneityandscaling AT schiesselhelmut circuittopologyanalysisofcellulargenomerevealssignaturemotifsconformationalheterogeneityandscaling AT golovnevanatoly circuittopologyanalysisofcellulargenomerevealssignaturemotifsconformationalheterogeneityandscaling AT mashaghialireza circuittopologyanalysisofcellulargenomerevealssignaturemotifsconformationalheterogeneityandscaling |