Monticolo, Francesco (2022) Functional genomics and bioinformatics approaches for the identification of cell fate molecular markers to implement diagnostic and monitoring devices in Food Science. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Functional genomics and bioinformatics approaches for the identification of cell fate molecular markers to implement diagnostic and monitoring devices in Food Science |
| Autori: | Autore Email Monticolo, Francesco f.monticolo90@gmail.com |
| Data: | 10 Marzo 2022 |
| Numero di pagine: | 270 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Agraria |
| Dottorato: | Scienze agrarie e agroalimentari |
| Ciclo di dottorato: | 34 |
| Coordinatore del Corso di dottorato: | nome email Barone, Amalia ambarone@unina.it |
| Tutor: | nome email Chiusano, Maria Luisa [non definito] |
| Data: | 10 Marzo 2022 |
| Numero di pagine: | 270 |
| Parole chiave: | bioinformatics, natural compounds, programmed cell death |
| Settori scientifico-disciplinari del MIUR: | Area 07 - Scienze agrarie e veterinarie > AGR/15 - Scienze e tecnologie alimentari Area 05 - Scienze biologiche > BIO/11 - Biologia molecolare |
| Depositato il: | 18 Mar 2022 10:41 |
| Ultima modifica: | 28 Feb 2024 10:41 |
| URI: | http://www.fedoa.unina.it/id/eprint/14460 |
Abstract
Cell fate is known to be an important aspect to consider in Food Science. Monitoring cell growth and limiting cell death are crucial for yield in industrial productions. It is crucial to consider gene expression as the earliest and fastest change in cell response. The analysis of gene expression provides direct insight into mRNA quantification. This information is fundamental for a better understanding of the early stages of cellular response. The project aims at the identification of early molecular markers that allow the prediction of cell fate in eukaryotic organisms: the unicellular eukaryote Saccharomyces cerevisiae and the multicellular organism Homo sapiens. The analyses here presented highlight the relevance of omics and bioinformatics application in monitoring cell growth, in the identification of molecular markers useful for the implementation of biosensors, and for the selection of natural compounds that could be exploited in the field of infectious diseases or cancer.
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