We present statistical mechanics models to understand the physical and molecular mechanisms of X-Chromosome Inactivation (XCI), the process whereby a female mam- mal cell inactivates one of its two X-chromosomes. During XCI, X-chromosomes undergo a series of complex regulatory processes. At the beginning of XCI, the X’s recognize and pair, then only one X which is randomly chosen is inactivated. Afterwards, the two X’s move to different positions in the cell nucleus according to their different status (active/silenced). Our models illustrate about the still mysterious physical bases under- lying all these regulatory steps, i.e., X-chromosome pairing, random choice of inactive X, and “shuttling” of the X’s to their post-XCI locations. Our models are based on gen- eral and robust thermodynamic roots, and their validity can go beyond XCI, to explain analogous regulatory mechanisms in a variety of cellular processes.

Statistical Mechanics models for X-Chromosome Inactivation / Scialdone, Antonio; Nicodemi, Mario. - In: ADVANCES IN COMPLEX SYSTEM. - ISSN 0219-5259. - 13:(2010), pp. 367-376. [10.1142/S0219525910002566]

Statistical Mechanics models for X-Chromosome Inactivation

SCIALDONE, ANTONIO;NICODEMI, MARIO
2010

Abstract

We present statistical mechanics models to understand the physical and molecular mechanisms of X-Chromosome Inactivation (XCI), the process whereby a female mam- mal cell inactivates one of its two X-chromosomes. During XCI, X-chromosomes undergo a series of complex regulatory processes. At the beginning of XCI, the X’s recognize and pair, then only one X which is randomly chosen is inactivated. Afterwards, the two X’s move to different positions in the cell nucleus according to their different status (active/silenced). Our models illustrate about the still mysterious physical bases under- lying all these regulatory steps, i.e., X-chromosome pairing, random choice of inactive X, and “shuttling” of the X’s to their post-XCI locations. Our models are based on gen- eral and robust thermodynamic roots, and their validity can go beyond XCI, to explain analogous regulatory mechanisms in a variety of cellular processes.
2010
Statistical Mechanics models for X-Chromosome Inactivation / Scialdone, Antonio; Nicodemi, Mario. - In: ADVANCES IN COMPLEX SYSTEM. - ISSN 0219-5259. - 13:(2010), pp. 367-376. [10.1142/S0219525910002566]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/383553
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact