Innate immune decision-making : insights from single-cell dynamic responses
Abstract/Contents
- Abstract
- The innate immune system is the body's first response to infection and gateway to an inflammatory or adaptive immune response. Many of the receptor and signaling pathways involved in the innate immune system have been delineated in great detail, including those recognizing microorganism-specific molecular patterns and damage or stress signals released in response to infection. But relatively little is known about how specificity to different pathogens is conferred within a class of microorganisms. This thesis is dedicated to achieving a better understanding of the innate immune system and its specific and self-limited response to pathogens, namely bacterial infection. Using a combination of microscopy and single-cell dynamics, computational modeling, and multiplex assays, we were able to gain insight into how the innate immune response is coordinated. We show that innate immune system function is more specific to pathogens than previously thought, that the response consists of variable and invariable dynamic aspects, and that the innate immune system can employ combinatorial synergies to amplify its response to dangerous microbes. These findings may provide clues to how many immunodeficiencies and autoimmune diseases develop and may inform the design of novel vaccine adjuvants and immunotherapies.
Description
Type of resource | text |
---|---|
Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2016 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Gutschow, Miriam V |
---|---|
Associated with | Stanford University, Department of Bioengineering. |
Primary advisor | Covert, Markus |
Thesis advisor | Covert, Markus |
Thesis advisor | Huang, Kerwyn Casey, 1979- |
Thesis advisor | Schneider, David (David Samuel) |
Advisor | Huang, Kerwyn Casey, 1979- |
Advisor | Schneider, David (David Samuel) |
Subjects
Genre | Theses |
---|
Bibliographic information
Statement of responsibility | Miriam V. Gutschow. |
---|---|
Note | Submitted to the Department of Bioengineering. |
Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Miriam Verna Gutschow
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...