Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590644
Title: Development of a bioinformatic analytical approach to identify novel human cancer testis gene candidates
Author: Feichtinger, Julia
Awarding Body: Prifysgol Bangor University
Current Institution: Bangor University
Date of Award: 2012
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Abstract:
The identification of tumour antigens (TAs) represents an ongoing challenge to the development of novel cancer diagnostic, prognostic and therapeutic strategies. A group of proteins, the cancer testis (CT) antigens are promising targets for such clinical applications. Their encoding genes show expression restricted to the immunologically privileged testes but their expression is also found in cells with a cancerous phenotype. To facilitate and automate the identification of novel CT genes, bioinformatic analytical pipelines based on publicly available microarray and expressed sequence tag (EST) data were developed and implemented as web tools to support wider application. Human germline-associated datasets were generated and the developed screening pipelines were subsequently used to analyse these datasets, leading to the identification of a. novel cohort of meiosis-speci fic genes, the meiCT genes that exhibit t he characteristics of CT genes and may have oncogenic features. In general, frequent germline gene expression found in cancer could reflect a soma-to-germline transformation occurring in human cells in the course of the development of cancer. The expression of germline-specific genes, in particular of meiotic genes, could lead to the production of proteins that cause oncogenic events and thus contribute to tumorigenesis and to the acquisition of tumour characteristics.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.590644  DOI: Not available
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