dc.creator | Wogsland, Cara Ellen | |
dc.date.accessioned | 2020-08-22T17:05:30Z | |
dc.date.available | 2017-06-19 | |
dc.date.issued | 2017-06-19 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-06132017-140256 | |
dc.identifier.uri | http://hdl.handle.net/1803/12556 | |
dc.description.abstract | B cells play a crucial role in adaptive immunity. They perform a multitude of functions including antibody and cytokine production and antigen presentation. The human adaptive immune response would not function effectively without B cells. The genome of a B cell undergoes profound changes during maturation and differentiation. This genome manipulation is a double-edged sword that provides both adaptive immunity to a wide array of pathogens and risks creating genomic changes associated with cancer, autoimmunity, or allergic disease. Studying B cells from a healthy immune system is important for understanding natural disease course, vaccine development, and the manufacture of antibodies for research and medicine. Here, I apply a systems biology approach to understanding B cells in health and disease with the use of mass cytometry and computational tools. The goals were to 1) Characterize B cells in follicular lymphoma (FL), 2) Characterize germinal center (GC) B cell signaling in response to reactive oxygen species (ROS), and 3) Integrate and optimize computational tools such as viSNE to capture the biology of B cells. This systems biology approach produced numerous findings. The GC B cell compartment was diminished in FL tumors compared to tonsil. FL malignant B cells displayed both intra- and inter-tumoral heterogeneity in phenotype. This heterogeneity within the malignant cells was driven by cell to cell variation in expression levels of human leukocyte antigen D related antigen (HLA-DR). FL malignant B cells, which are thought to arise from a GC B cell, were phenotypically distinct from GC B cells. GC B cells were found to be more sensitive to ROS than other B cell types found in tonsil. viSNE served as a useful tool in the visualization and characterization of malignant and non-malignant cells. The systems biology approach using mass cytometry enabled simultaneous identification and characterization of B cells in health and disease settings. | |
dc.format.mimetype | application/pdf | |
dc.subject | tumor immunology | |
dc.subject | cancer | |
dc.subject | cell signaling | |
dc.subject | phospho-flow | |
dc.subject | tonsil | |
dc.subject | single cell biology | |
dc.subject | t-SNE | |
dc.subject | systems biology | |
dc.subject | viSNE | |
dc.subject | computational biology | |
dc.subject | immunology | |
dc.subject | follicular lymphoma | |
dc.subject | B cells | |
dc.subject | mass cytometry | |
dc.subject | flow cytometry | |
dc.subject | CyTOF | |
dc.title | Systems Biology of Mature Human B cells in Health and Illness | |
dc.type | dissertation | |
dc.contributor.committeeMember | Leslie J. Crofford | |
dc.contributor.committeeMember | R. Stokes Peebles | |
dc.contributor.committeeMember | Jonathan M. Irish | |
dc.contributor.committeeMember | Holly M. Algood | |
dc.type.material | text | |
thesis.degree.name | PHD | |
thesis.degree.level | dissertation | |
thesis.degree.discipline | Microbiology and Immunology | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2017-06-19 | |
local.embargo.lift | 2017-06-19 | |
dc.contributor.committeeChair | Andrew J. Link | |