Multi-modal analyses for the identification of immune characteristics in viral infections and associated human disease
Abstract/Contents
- Abstract
- Viruses are ubiquitous pathogens responsible for a substantial disease burden globally. Refining our strategies in managing viral infections and their related pathologies requires us to have a comprehensive understanding of the host response in these diseases. Here, we identify immunological elements evoked in viral infections and associated host-virus interactions, focusing on two contrasting aspects: emerging viral infections, and lymphoid malignancies causally linked to the oncogenic Epstein-Barr virus (EBV), an ancient human pathogen. Our group has repeatedly shown that integrating heterogeneous data cohorts yields biological findings that are more consistently generalizable to downstream therapeutic applications. Firstly, we applied this integrated multi-cohort analysis framework in a disease context where our understanding is still lacking, as a tool for robust discovery to instruct further multi-omics studies for the elucidation of immune features characteristic to EBV(+) and EBV(-) B cell lymphomas. We identified gene signatures that implicate CD300a as a potential therapeutic target and provide evidence for the manipulation of the tumor microenvironment by EBV(+) B cell lymphomas. Secondly, in the context of emerging infections, we applied our multi-cohort analysis framework to identify conserved elements of the host response to viral infections across 16 different viral pathogens as a stepping stone for the development of a triage strategy to prioritize medical resources to patients more likely to develop severe disease outcomes in the event of another pandemic.
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 | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Toh, Jia Ying |
|---|---|
| Degree supervisor | Khatri, Purvesh |
| Degree supervisor | Martinez, Olivia |
| Thesis advisor | Khatri, Purvesh |
| Thesis advisor | Martinez, Olivia |
| Thesis advisor | Bendall, Sean, 1979- |
| Thesis advisor | Krams, Sheri Michele |
| Thesis advisor | Robinson, William (William Hewitt) |
| Degree committee member | Bendall, Sean, 1979- |
| Degree committee member | Krams, Sheri Michele |
| Degree committee member | Robinson, William (William Hewitt) |
| Associated with | Stanford University, School of Medicine |
| Associated with | Stanford University, Program in Immunology |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Jia Ying Toh. |
|---|---|
| Note | Submitted to the Program in Immunology. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/kp479nz2016 |
Access conditions
- Copyright
- © 2023 by Jia Ying Toh
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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