Fiorillo, Luca (2021) Polymer-physics modeling to explore single-cell DNA architecture and characterize experimental methods. [Tesi di dottorato]

[thumbnail of Fiorillo_Luca_33.pdf]
Anteprima
Testo
Fiorillo_Luca_33.pdf

Download (5MB) | Anteprima
Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Polymer-physics modeling to explore single-cell DNA architecture and characterize experimental methods
Autori:
Autore
Email
Fiorillo, Luca
luca.fiorillo@unina.it
Data: Febbraio 2021
Numero di pagine: 82
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Fisica
Dottorato: Fisica
Ciclo di dottorato: 33
Coordinatore del Corso di dottorato:
nome
email
Capozziello, Salvatore
salvatore.capozziello@unina.it
Tutor:
nome
email
Nicodemi, Mario
[non definito]
Data: Febbraio 2021
Numero di pagine: 82
Parole chiave: DNA; polymer-physics; chromosomes; phase-separation
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/02 - Fisica teorica, modelli e metodi matematici
Depositato il: 18 Feb 2021 17:07
Ultima modifica: 07 Giu 2023 10:23
URI: http://www.fedoa.unina.it/id/eprint/14029

Abstract

The comprehension of the spatial organization of chromosomes in mammal cells is a major challenge for contemporary biophysics, as it is connected with the functionality of the genome. For that reason, sophisticated technologies have been designed to explore the chromosomal architectures, while polymer-physics models have been proposed to make sense of the experimental observations and to identify the molecular mechanisms driving the folding of DNA. Here, we present a polymer-physics model which can explain the conformations of DNA observed in human cells, based on the phase-separation mechanism of classical polymers and on the corresponding thermodynamic degeneracy of states. Additionally, we show that model polymer structures of real chromosomal regions can be used to benchmark, computationally, the performances of different experimental technologies able to capture the architecture of chromosomes (Hi-C, GAM and SPRITE). We will illustrate that such approach allows to quantitatively compare the experimental technologies and, so, define the optimal experimental setup for various possible conditions.

Downloads

Downloads per month over past year

Actions (login required)

Modifica documento Modifica documento