Modular and programmable molecular sensors for cell types and states
Abstract/Contents
- Abstract
- Human synthetic biology promises to deliver smart therapies for complex conditions like cancer, as well as tools for basic biology by rewiring existing pathways or creating new ones. Engineered human cells could one day sense the state of their micro- and macro environments using synthetic receptors and other sensors, make decisions based on that information using molecular computation circuits, and map those decisions to biological responses, like removing diseased cells or reprogramming healthy cells to fight disease. While modular computation and effector systems have been created with components sourced from the human genome, available sensors are lacking in modifiability, or are sourced from non-human genomes with potent immunogenicity. In this thesis I describe and demonstrate architectures for robust and modular genetically encoded humanized sensors for the intracellular transcriptional state as well as for intra- and extracellular proteins.
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 | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Kaseniit, Kristjan Eerik |
|---|---|
| Degree supervisor | Gao, Xiaojing |
| Thesis advisor | Gao, Xiaojing |
| Thesis advisor | Huang, Possu |
| Thesis advisor | Li, Jin (Billy) |
| Degree committee member | Huang, Possu |
| Degree committee member | Li, Jin (Billy) |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Kristjan Eerik Kaseniit. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/fn054wj8622 |
Access conditions
- Copyright
- © 2022 by Kristjan Eerik Kaseniit
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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