Research Associate Professor
Gene Expression; Immunology; Molecular and Cellular Biology; Molecular genetics; Signal Transduction
I am the administrator for flow cytometry in the Confocal Microscopy and Flow Cytometry Core Facility that serves investigators throughout the university. In that role, I oversee the use of the LSRFortessa and the FACSCalibur analytical flow cytometers, providing instruction on their use and the analysis of acquired data and serving as a consultant on the design and interpretation of experiments. I also operate the FACSAria cell sorter, providing sterile live cell sorting. In addition, I operate and provide assistance to users on the application of cytometric bead array analysis on the FACSArray, as well as Elispot analysis using the Zeiss KS-ELISPOT microscope.
My own research centers on investigating the responsiveness of human T cells in the tumor microenvironment of lung and ovarian cancer and lymphomas. In that research, I am a coinvestigator in a collaborative group of oncologists and immunologists coordinated by Richard Bankert, PhD. We have observed that T cells in the tumor microenvironment are hyporesponsive to T cell receptor-mediated activation and that factor(s) present in ovarian tumors and associated ascites fluid can cause this hyporesponsiveness. We are investigating the mechanism(s) of this phenomenon. Also, as an approach to the in vivo study of the immune response to human tumor associated antigens, our group has established a novel xenograft model by injecting human tumor cell aggregates of solid ovarian tumor biopsies intraperitoneally into immune-deficient NSG mice. The result is a human tumor microenvironment in the greater omentum of the mice, i.e., the omental tumor xenograft (OTX) model. The progression of the human tumor xenograft closely approximates the characteristics of the tumor in cancer patients, and it is possible to quantify the presence of tumor cells and stromal cells in the OTX model.
These findings have led to our program goals to: 1.) determine whether the OTX model can be used as a predictive tool of the outcome of therapeutic approaches for the treatment of human ovarian cancer and B cell lymphoma, and 2.) determine whether the inhibition of activation in the tumor microenvironment can be reversed so that the antitumor T cell response can be reactivated.