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Hi-C-constrained physical models of human chromosomes recover functionally-related properties of genome organization

Di Stefano, Marco
•
Micheletti, Cristian
•
Paulsen, Jonas
altro
Hovig, Eivind
2016
  • journal article

Periodico
SCIENTIFIC REPORTS
Abstract
Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we use chromosome-chromosome contact data as knowledge-based constraints for large-scale three-dimensional models of the human diploid genome. The resulting models remain minimally entangled and acquire several functional features that are observed in vivo and that were never used as input for the model. We find, for instance, that gene-rich, active regions are drawn towards the nuclear center, while gene poor and lamina associated domains are pushed to the periphery. These and other properties persist upon adding local contact constraints, suggesting their compatibility with non-local constraints for the genome organization. The results show that suitable combinations of data analysis and physical modelling can expose the unexpectedly rich functionally-related properties implicit in chromosome-chromosome contact data. Specific directions are suggested for further developments based on combining experimental data analysis and genomic structural modelling.
DOI
10.1038/srep35985
WOS
WOS:000386767700001
Archivio
http://hdl.handle.net/20.500.11767/39539
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84992608907
http://www.nature.com/srep
Diritti
open access
Soggetti
  • topologically associa...

  • nuclear lamina intera...

  • long-range interactio...

  • interphase chromosome...

  • molecular-dynamic

  • gene-regulation

  • human-cell

  • count data

  • chromatin

  • transcription

  • Settore FIS/03 - Fisi...

Scopus© citazioni
40
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
54
Data di acquisizione
Mar 27, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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