Single-cell deep profiling of immune signaling and drug responses in normal and malignant human hematopoiesis
Abstract/Contents
- Abstract
- The human hematopoietic system is a complex mixture of morphologically and functionally distinct cell types. Using high-dimensional single-cell cytometry, functional behaviors in a wide number of cell types can be monitored simultaneously ("deep profiling"), enabling new insights into the structure and relationships of the overall system. Presented in this dissertation are several incremental technical and informatic steps that contributed to this holistic approach to single-cell biology. Using 30-parameter mass cytometry, deep profiling was used to recover the developmental continuum of healthy bone marrow and create a detailed map of the atypical functionally related cell types in a case of oligoclonal pediatric acute myeloid leukemia. These examples demonstrate the utility of a single-cell deep profiling paradigm in attaining an informative snapshot of healthy and malignant human hematopoiesis.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2012 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Simonds, Erin Forbes | |
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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 | Davis, Mark M | |
Thesis advisor | Levy, Ronald, 1941 December 6- | |
Thesis advisor | Sarnow, P. (Peter) | |
Advisor | Davis, Mark M | |
Advisor | Levy, Ronald, 1941 December 6- | |
Advisor | Sarnow, P. (Peter) |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Erin Forbes Simonds. |
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Note | Submitted to the Department of Microbiology and Immunology. |
Thesis | Thesis (Ph.D.)--Stanford University, 2012. |
Location | electronic resource |
Access conditions
- Copyright
- © 2012 by Erin Forbes Simonds
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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