Tufano, Rossella (2020) Evaluation of motility and proliferation of transformed cell lines by computational analysis and in silico simulation. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Evaluation of motility and proliferation of transformed cell lines by computational analysis and in silico simulation
Creators:
CreatorsEmail
Tufano, Rossellarossella.tufano@unina.it
Date: 13 March 2020
Number of Pages: 69
Institution: Università degli Studi di Napoli Federico II
Department: Medicina Molecolare e Biotecnologie Mediche
Dottorato: Medicina molecolare e biotecnologie mediche
Ciclo di dottorato: 32
Coordinatore del Corso di dottorato:
nomeemail
Avvedimento, Vittorio Enricovittorioenrico.avvedimento@unina.it
Tutor:
nomeemail
Paolella, GiovanniUNSPECIFIED
Date: 13 March 2020
Number of Pages: 69
Uncontrolled Keywords: cell migration; motion models; movement regulation
Settori scientifico-disciplinari del MIUR: Area 05 - Scienze biologiche > BIO/10 - Biochimica
Date Deposited: 25 Mar 2020 12:00
Last Modified: 05 Nov 2021 11:47
URI: http://www.fedoa.unina.it/id/eprint/13208

Abstract

Cell migration plays a crucial role in different pathological conditions, so a good understanding of the intra and extra cellular mechanisms involved could help in the development of new therapeutical strategies. Time-lapse microscopy is an excellent tool for dynamically studying cell movement. This work reports the development and testing of an integrated analysis environment based on MotoCell, a web application able to simultaneously manage time-lapse experiments, perform comparative analysis of multiple experiments extracting movement parameters, test models describing cell movement and proliferation and simulate the behaviour of cells growing on Petri dish via a simulation tool able to reproduce and predict the behaviour of cultured cells. The system includes additional tools that deal with acquisition and analysis of microscopy images and graphical representation of datasets containing cell paths obtained by tracking procedures.

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