Development and application of an intercellular immune interaction network
Abstract/Contents
- Abstract
- This dissertation describes the development of ImmunoGlobe, a manually curated intercellular immune interaction network extracted from the Janeway's Immunobiology textbook. I show that ImmunoGlobe recapitulates known features of the immune system and can be used to discover novel immune pathways as well as to predict the responses of immune cells to stimuli. I then use ImmunoGlobe to perform network analysis of SARS-CoV-2 infection, which reveals immune mechanisms characteristic of general COVID-19 infection and further identifies active immune pathways that differentiate COVID patients based on severity and gender. Finally, I describe the results of two studies of antitumor immunity in mouse models of lymphoma. Assessing the findings in the context of the ImmunoGlobe network reveals previously unnoticed similarities in the immune response across both studies, suggesting a common immune mechanism and illustrating the ability of network analysis to provide novel insight into existing immune data. We have made the ImmunoGlobe network publicly available as an interactive network and fully computable graph, and have demonstrated its utility in extracting mechanistic insight both from high-throughput and traditional immunologic studies. Collectively, this work will enable the creation of systems immunology tools that will allow us to predict the outcome of complex immune interactions, providing mechanistic insight that allows us to precisely modulate immune responses in health and disease.
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 | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Atallah, Michelle |
|---|---|
| Degree supervisor | Engleman, Edgar G |
| Degree supervisor | Mallick, Parag, 1976- |
| Thesis advisor | Engleman, Edgar G |
| Thesis advisor | Mallick, Parag, 1976- |
| Thesis advisor | Bendall, Sean, 1979- |
| Thesis advisor | Gentles, Andrew |
| Thesis advisor | Graves, Edward (Edward Elliot), 1974- |
| Degree committee member | Bendall, Sean, 1979- |
| Degree committee member | Gentles, Andrew |
| Degree committee member | Graves, Edward (Edward Elliot), 1974- |
| Associated with | Stanford University, Cancer Biology Program |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Michelle Atallah. |
|---|---|
| Note | Submitted to the Cancer Biology Program. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Michelle Atallah
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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