T-Cell Receptor Diversity in the Human Immune System
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Perustieteiden korkeakoulu |
Master's thesis
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Authors
Date
2015-08-27
Department
Major/Subject
Computational Systems Biology
Mcode
IL3013
Degree programme
Master's Degree Programme in Computational and Systems Biology (euSYSBIO)
Language
en
Pages
48+5
Series
Abstract
T-Cell Receptors are heterodimeric molecules composed of two hyper-variable protein chains. TCR Diversity is widely recognized as a direct measure of immune competence as it quantifies the variety of foreign antigens our immune system can recognize, and hence act upon. TCR diversity is generated by V(D)J recombination, a random process which rearranges variable (V), joining (J) and sometimes also diversity (D) segments of the gene encoding the antigen-binding region of the TCR. With the advent of high-throughput sequencing technology it is now possible to sequence a very large number of cells for these genes. However the immune cell count in any healthy individual is still beyond the currently feasible limits for sequencing and thus it requires that the total population diversity be estimated from a sample. Here, state-of-the-art approaches are used to model the sample diversity from millions of cells from thymus tissues. The population density is then estimated based on these models. Both parametric and non-parametric approaches are considered.Description
Supervisor
Lähdesmäki, HarriThesis advisor
Saramäki, JariKeywords
t-cell receptors, immune diversity, recombination, parametric and non-parametric models, high-throughput sequencing