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http://hdl.handle.net/2445/171392
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DC Field | Value | Language |
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dc.contributor.advisor | Ibañes Miguez, Marta | - |
dc.contributor.author | Mut Sbert, Macià | - |
dc.date.accessioned | 2020-10-21T15:01:35Z | - |
dc.date.available | 2020-10-21T15:01:35Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.uri | http://hdl.handle.net/2445/171392 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutora: Marta Ibañes Miguez | ca |
dc.description.abstract | During tissue development, cells differentiate creating a cellular pattern thanks to communication frameworks like the one studied, the Notch signalling pathway. In such mechanisms a cell interacts with the surrounding cells through proteins called ligands. With a numerical simulation program we manage to confirm the formation of cell patterns and doing a lineal stability analysis we find under which conditions the pattern can arise for a sustained signal activation. Furthermore, when implementing a transitory pulsating signal dynamics we find that a minimum interaction time is required if the cells are to differentiate | ca |
dc.format.extent | 5 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Mut, 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Lligands (Bioquímica) | cat |
dc.subject.classification | Formació de patrons (Física) | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Ligands (Biochemistry) | eng |
dc.subject.other | Pattern formation (Physical sciences | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | Computational analysis of signal dynamics induced by ligands | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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MUT SBERT MACIÀ_1338784_assignsubmission_file_TFG_Mut_Sbert_Macia.pdf | 798.44 kB | Adobe PDF | View/Open |
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