Multiscale behavior in living systems
This thesis focuses on the multiscale nature of the biological process that underpin the function of all living systems. A first project centers on the disease known as multiple sclerosis, and utilizes various datasets at different biological scales (genes, proteins, cells, and tissues) to better un...
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| Format: | doctoral thesis |
| Status: | Published version |
| Publication Date: | 2023 |
| Country: | España |
| Institution: | CBUC, CESCA |
| Repository: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/688559 |
| Online Access: | http://hdl.handle.net/10803/688559 |
| Access Level: | Open access |
| Keyword: | networks multiscale model complex disease redes multiescala modelo complejo enfermedad 577 |
| Summary: | This thesis focuses on the multiscale nature of the biological process that underpin the function of all living systems. A first project centers on the disease known as multiple sclerosis, and utilizes various datasets at different biological scales (genes, proteins, cells, and tissues) to better understand differences in clinical phenotype. The various datasets were connected into multiscale networks, and their dynamic behavior was simulated. Paths were identified describing the flow of information traveling from genes to proteins, cells, and tissues, up to the overall phenotype. A second project deals with how molecularly-regulated circadian rhythms are influenced by cell-driven mechanical inputs. The genetic network was modeled using a set of differential equations, and mechanical input was introduced through the influence of proteins that act as mechanotransducers. An increase in mechanical input causes a disruption of regular 24 hour cycles, which is observed experimentally. All studies presented here connect various biological scales together and study their dynamics. |
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