391 – Modeling and Analysis of Complex Biomedical Data
Diversity Complexity Index (DCI) for Spectratype/Immunoscope Analysis of the Expressed TCR Repertoire
Byung Park
Oregon Health & Science University
Partha Samadder
University of Arizona
Afam Okoye
Oregon National Primate Research Center
Motomi Mori
Oregon Health & Science University
Janko Nikolich-Zugich
University of Arizona College of Medicine
Spectratyping measures TCR repertoire diversity based on variation in the lengths of RT-PCR products generated from the CDR3 region in each TCR V? family. This technique has been used successfully on samples from humans such as in vitro activated T cells, peripheral blood, peripheral lymphoid tissues, extralymphoid sites of inflammation, and malignant tissue. General goal of quantitative analysis of spectratype data is to access the therapeutic benefits of treatment and its ability to maintain or even improve spectratype diversity. Most of analyzing spectratype profile methods is to measuring how objective spectratyping profile is diverted from the Gaussian pattern of spectratyping in CDR3 region. Many times, we are more interested in answering the question if a certain intervention is improving/loosing the repertoire diversity in CDR3 region. However, due to the absence of standardized methods of analyzing and reporting the data, the interpretation of the data generated has remained an issue. We are proposing a diversity complexity index (DCI) that can evaluate not only degree of divergence between two spectratype profiles but also the driection of the spectratype profile changes.