Integrating systems approaches to mammalian cell signaling
Abstract/Contents
- Abstract
- Cells are elegant computers that resulted from evolution. They constantly sense information from inside and outside, process them through a large network of molecular interactions, and compute their behavior as an output. They achieve such computation through the integration of a series of molecular functions. Molecular biology is the study of these functions, such as how they diffuse, bind, and catalyze. However, studying each molecular function in detail is not enough to understand their overall outcome. We need a systems approach for studying how molecular interactions are integrated to produce behavior. In my understanding, the concept of Chemical and Systems Biology emerged from such needs. We need biochemical tools for measuring and perturbing a system in parallel. We also need computational tools for facilitating measurements and modeling to account for integrated behavior. This thesis is about systems approaches for studying biology; how to measure, perturb and model biological systems, particularly for studying mammalian cell signaling. I first introduce a molecular and computational tool for measuring dynamic cell signaling states. Next, I describe our effort for extending microscopic imaging to a high-throughput genetic perturbation platform. Then, using adipogenesis as a case example, I present how modeling facilitates our understanding of complex cellular behavior. Taken together, my thesis work contributes to innovation towards a systems-level understanding of biological systems.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Kudo, Takamasa |
|---|---|
| Degree supervisor | Covert, Markus |
| Thesis advisor | Covert, Markus |
| Thesis advisor | Cimprich, Karlene |
| Thesis advisor | Ferrell, James Ellsworth |
| Thesis advisor | Meyer, Tobias |
| Degree committee member | Cimprich, Karlene |
| Degree committee member | Ferrell, James Ellsworth |
| Degree committee member | Meyer, Tobias |
| Associated with | Stanford University, Department of Chemical and Systems Biology |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Takamasa Kudo. |
|---|---|
| Note | Submitted to the Department of Chemical and Systems Biology. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/cm580qq5335 |
Access conditions
- Copyright
- © 2021 by Takamasa Kudo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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