Identifying lineage relationships in human T cell populations

Menckeberg, Celia Lara (2011). Identifying lineage relationships in human T cell populations. University of Birmingham. Ph.D.

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Abstract

CD4\(^+\) and CD8\(^+\) T cell populations can be divided into subpopulations based on expression of surface markers CCR7 and CD45RA. The resulting populations are referred to as naive, central memory, effector memory and effector memory RA\(^+\) (EMRA). The aim of this study was to identify potential lineage relationships between these subpopulations for both CD4\(^+\) and CD8\(^+\) T cells through microarray analysis. The genes found to distinguish between these subpopulations include many molecules with known functions in T cell differentiation, including CCR7, CD45RA, granzymes, L-selectin and TNF receptors. Several genes from the tetraspanin family of proteins were found to be differentially expressed at mRNA and protein level; suggesting a possible role for these genes in CD4\(^+\) and CD8\(^+\) T cell activation, migration and lysosomal function. Other genes identified, such as LRRN3 and CXCR5 which were expressed highest on naive and CM T cells respectively, provide interesting gene targets to follow up on their function in these T cell populations. Microarray data was validated through Real Time PCR and suggests that both CD4\(^+\) and CD8\(^+\) T cells differentiate along a linear pathway of naive to central memory to effector memory. The transcriptional programmes responsible for these differentiation steps were distinct between CD4\(^+\) and CD8\(^+\) T cells, although additional elements were common to both subsets.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
Supervisor(s):
Supervisor(s)EmailORCID
Curnow, SJUNSPECIFIEDUNSPECIFIED
Licence:
College/Faculty: Colleges (2008 onwards) > College of Medical & Dental Sciences
School or Department: School of Immunity and Infection
Funders: None/not applicable
Subjects: Q Science > QH Natural history > QH301 Biology
Q Science > QH Natural history > QH426 Genetics
Q Science > QR Microbiology > QR180 Immunology
URI: http://etheses.bham.ac.uk/id/eprint/3211

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