Gene Expression Analysis with a Signal Processing System : Recognition of Immune Response with Differential Patterns

• Main Authors: Chia Hung Fan, 范嘉宏
• Other Authors: R. Y. Lyu
• Format: Others
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/92174823168800780639

碩士 === 長庚大學 === 資訊工程學系 === 98 === Abstract T lymphocyte is the most critical player of our adaptive immunity. Naïve T cells, after encounter with their cognate antigens, will respond and differentiate into either anergic/regulatory or effector/memory phenotypes. This process of differential development had been simulated in vivo with our well-established transgenic murine model system, to facilitate study of the delicate balance between these two phenotypes. Genomic data of T cells isolated from various stages of these two developmental pathways allowed dynamic and genome-wide comparison. With a signal processing approach, differential patterns of gene expression were recognized. There were hot zones, groups of genes aligned sequentially on the chromosomes with simultaneous expression, for differentiation into either of the two T cell phenotypes. The up-regulated expression pattern of the hot-zones may help establish a template to measure the status of immune response, the balance between anergic/regulatory and effector/memory phenotypes. This measurement, an immunometer, will help diagnosis and treatment of a variety of diseases resulted from disordered balance of adaptive immune response.