eTheses Repository

Identifying lineage relationships in human T cell populations

Menckeberg, Celia Lara (2011)
Ph.D. thesis, University of Birmingham.

Loading
Click on the icons below to preview their contents ...
Menckeberg11PhD.pdf
PDF (7Mb)Accepted Version
Appendix_Supplemental_Tables_CSV_fomat.zip
Appendix_Supplemental_Tables_Excel_fomat.zip

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:Ph.D. thesis.
Supervisor(s):Curnow, SJ
School/Faculty:Colleges (2008 onwards) > College of Medical & Dental Sciences
Department:School of Immunity and Infection
Additional Information:

The appendix contains supplementary data tables for chapters 3 and 4. They are available to download as Excel workbooks and also as .csv files, in a zipped folder. Use of these files is at the discretion and risk of the user.

Subjects:QH301 Biology
QH426 Genetics
QR180 Immunology
Institution:University of Birmingham
ID Code:3211
This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder.
Export Reference As : ASCII + BibTeX + Dublin Core + EndNote + HTML + METS + MODS + OpenURL Object + Reference Manager + Refer + RefWorks
Share this item :
QR Code for this page

Repository Staff Only: item control page