Cimmino, Elena (2025) Modelling the mechanics underlying cell morphology of moving cultured cells. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Modelling the mechanics underlying cell morphology of moving cultured cells |
| Autori: | Autore Email Cimmino, Elena Elena.cimmino2@unina.it |
| Data: | 10 Febbraio 2025 |
| Numero di pagine: | 101 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Medicina Molecolare e Biotecnologie Mediche |
| Dottorato: | Medicina molecolare e biotecnologie mediche |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email Santoro, Massimo massimo.santoro@unina.it |
| Tutor: | nome email Paolella, Giovanni [non definito] |
| Data: | 10 Febbraio 2025 |
| Numero di pagine: | 101 |
| Parole chiave: | Cell modelling, Cell morphology In silico simulation |
| Settori scientifico-disciplinari del MIUR: | Area 05 - Scienze biologiche > BIO/10 - Biochimica Area 05 - Scienze biologiche > BIO/11 - Biologia molecolare |
| Informazioni aggiuntive: | La sottoscritta è appartenente al 37° ciclo di dottorato |
| Depositato il: | 26 Nov 2025 11:03 |
| Ultima modifica: | 09 Ago 2026 06:04 |
| URI: | https://www.fedoa.unina.it/id/eprint/16670 |
Abstract
The goal of this work was to explore the dynamics governing the functional behavior of cultured cells through modelling and in silico simulations. These simulations, parameterized using data from experimental cell cultures, aim to model and predict cellular behavior under various experimental conditions. Cells simulated in this way accurately reproduce many aspects that characterize cell life in culture: cell growth regulated according to different intrinsic and extrinsic factors, including nutrient availability and signalling, adhesion and spreading onto the substrate, volume redistribution, availability of surface membrane, morphology depending on cell volume, but also on other factors, such as cell type, cell-cell interactions, movement and so on. The cells thus obtained, in combination with the use of experimentally determined population parameters, also correctly reproduce the movement of individual cells in different experimental conditions, such as for example in the case of wound healing or the addition of attractive or repellent molecules. The simulation system takes advantage of SimulCell, an in silico simulation tool developed in-house, that enables simulation of different experimental conditions, including addition of molecular gradients, reaction to a physical damage as in wound healing assays, introduction of constraints to cell movement. Data produced by these experiments can be viewed and analyzed in different ways: they are provided in tabular form, graphs as well as videos showing the morphological changes of simulated cells, and can be used to validate biological models and to predict cell behaviour in typical “what if” experiments.
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