Cross-species immune system atlas
Abstract/Contents
- Abstract
- Animal models are an integral part of the drug development and evaluation process. However, they are unsurprisingly imperfect reflections of humans. With the rise of targeted and biological therapeutics, it is increasingly important that we understand the molecular differences in immunological behavior of humans and model organisms. Thus, we profiled a large number of healthy humans, along with the model organisms most similar to humans: rhesus and cynomolgus macaques and African green monkeys, and the most widely used mammalian model: mice. Immune cell signaling responses to a panel of 15 stimuli were measured using CyTOF mass cytometry to read out universal signaling and phenotyping panels. We found numerous instances of different immune signaling events occurring between species with likely effects on evaluation of therapeutics. We frame these differences in the context of the immune system as a modular network.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2016 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Bjornson-Hooper, Zachary B | |
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Associated with | Stanford University, Department of Microbiology and Immunology. | |
Primary advisor | Nolan, Garry P | |
Thesis advisor | Nolan, Garry P | |
Thesis advisor | Arvin, Ann M | |
Thesis advisor | Engleman, Edgar G | |
Thesis advisor | Greenberg, Harry B | |
Thesis advisor | Relman, David A | |
Advisor | Arvin, Ann M | |
Advisor | Engleman, Edgar G | |
Advisor | Greenberg, Harry B | |
Advisor | Relman, David A |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Zachary B. Bjornson-Hooper. |
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Note | Submitted to the Department of Microbiology and Immunology. |
Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Zachary Bjornson-Hooper
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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