This novel computational framework for the analysis of single-cell gene expression data from human tumor samples enables the identification of molecular activity associated with CD8 T cell exhaustion across multiple cell types. It also provides the capability to consider these changes in the context of immunotherapy response. Its application yielded new insights into potential mechanisms of resistance to immune checkpoint inhibitor therapies in cancer patients.
Details
Title
A novel computational framework for analyzing single-cell transcriptomics data: applications to T cell exhaustion and cancer immunotherapy response
Creator
Klocke, Christopher : Oregon Health and Science University : (0000-0001-8528-7781)
Contributor
Moran, Amy Committee member (Oregon Health and Science University) Adey, Andrew Chair (Oregon Health and Science University) McWeeney, Shannon Committee member (Oregon Health and Science University) Wong, Melissa Committee member (Oregon Health and Science University) Wu, Guanming Advisor (Oregon Health and Science University)
Related work citations
Christopher Klocke, Amy Moran, Andrew Adey, Shannon McWeeney, Melissa Wong, and Guanming Wu. 2024. "A novel computational framework for analyzing single-cell transcriptomics data: applications to T cell exhaustion and cancer immunotherapy response." Oregon Health & Science University.
Content Type
Dissertation
Degree Type
Ph.D.
Academic Program
Bioinformatics & Computational Biomedicine
Department
Department of Medical Informatics and Clinical Epidemiology
School
School of Medicine
Grant Information
NIH National Library of Medicine
