000043707 001__ 43707
000043707 005__ 20240919130343.0
000043707 0247_ $$2doi$$a10.6083/bpxhc43707
000043707 037__ $$aETD
000043707 041__ $$aeng
000043707 245__ $$aA novel computational framework for analyzing single-cell transcriptomics data: applications to T cell exhaustion and cancer immunotherapy response
000043707 260__ $$bOregon Health and Science University
000043707 269__ $$a2024-09-18
000043707 336__ $$aDissertation
000043707 502__ $$bPh.D.
000043707 502__ $$gBioinformatics & Computational Biomedicine
000043707 520__ $$aThis novel computational framework for the analysis of single-cell gene expression data from human tumor samples enables the identification of molecular activity associated with CD8 T cell exhaustion across multiple cell types. It also provides the capability to consider these changes in the context of immunotherapy response. Its application yielded new insights into potential mechanisms of resistance to immune checkpoint inhibitor therapies in cancer patients. 
000043707 536__ $$oNIH National Library of Medicine $$cT15-LM007088
000043707 540__ $$fCC BY
000043707 542__ $$fIn copyright - single owner
000043707 650__ $$aT-Cell Exhaustion$$013992
000043707 650__ $$aImmunotherapy$$020724
000043707 650__ $$aComputational Biology$$031511
000043707 6531_ $$asingle-cell RNA-seq
000043707 6531_ $$acancer
000043707 6531_ $$atreatment resistance
000043707 691__ $$aSchool of Medicine$$041369
000043707 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000043707 7001_ $$aKlocke, Christopher$$uOregon Health and Science University$$041354$$10000-0001-8528-7781
000043707 7201_ $$aMoran, Amy$$uOregon Health and Science University$$041354$$eCommittee member$$7Personal
000043707 7201_ $$aAdey, Andrew$$uOregon Health and Science University$$041354$$10000-0001-7648-8717$$eChair$$7Personal
000043707 7201_ $$aMcWeeney, Shannon$$uOregon Health and Science University$$041354$$10000-0001-8333-6607$$eCommittee member$$7Personal
000043707 7201_ $$aWong, Melissa$$uOregon Health and Science University$$041354$$10000-0002-5127-279X$$eCommittee member$$7Personal
000043707 7201_ $$aWu, Guanming$$uOregon Health and Science University$$041354$$10000-0001-8196-1177$$eAdvisor$$7Personal
000043707 789__ $$eContinues$$2DOI
000043707 792__ $$aChristopher 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. 
000043707 8564_ $$99e3f191f-df77-4d7b-ac25-7b8ad79db19e$$s63991$$uhttps://digitalcollections.ohsu.edu/record/43707/files/fairusechecklist_dissertation.pdf
000043707 8564_ $$91b543e61-9f49-4327-b3b7-9ef556c72857$$s36818967$$uhttps://digitalcollections.ohsu.edu/record/43707/files/Klocke.Christopher.2024.pdf
000043707 909CO $$ooai:digitalcollections.ohsu.edu:43707$$pstudent-work
000043707 980__ $$aTheses and Dissertations
000043707 981__ $$aPublished$$b2024-09-18