NOV 05, 2015 08:00 AM PST

WEBINAR: Advanced flow cytometric analysis of human T cell memory subsets

Speakers
  • Senior Application Scientist, Beckman Coulter Lifesciences
    Biography
      Dr Nicole Weit works for Beckman Coulter Lifesciences as a senior application scientist. Together with her team, she supports and provides guidance to customers in their transition to higher complexity cytometry applications in the field of both clinical and research related applications. Before joining Beckman Coulter Lifesciences in 2012, Dr Weit worked at the University of Cologne in the department of Internal Medicine, a key centre for the research on chronic lymphocytic leukaemias. Dr Weit received her PhD in Immunology at the same institution with the thesis: "T-cell prolymphocytic leukemia- aberrant immunology, genetics and signaling of the transformed mature T-cell". Her key research interest lie in T-cell immunology in the context of haematological malignancies.

    Abstract:
    November 5, 2015, 8:00am PT, 11:00am ET, 3:00pm GMT

    T-cells form an integral part of the human immune system by fighting off infection and eliminating transformed cells. Over the last decades numerous T-cells subsets with different functions and abilities have been identified (Farber et al. Nat Rev Immunol 2014). The wide spread use of monoclonal antibodies and multi-color flow cytometry allows for the routine identification of these subsets based on their immune-phenotype (Chattopadhyay et al. Cytometry 2012). However, the increasingly detailed understanding and the dynamic nature of different T-cell subsets also results in a dramatic increase in the complexity of the antibody panels used.

    Here, we will demonstrate the identification of naïve, memory and effector T cells at various stages of differentiation, but also the detection of rare populations such as stem cell like memory T cells and different Treg subpopulations using a 13-color marker combination that allows for the identification of T cell subtypes according to classical and more recent characterization criteria. We will outline the panel design rational taking into account expression patterns as well as fluorochrome characteristics. The applied gating strategies will be discussed.

    Learning Objectives:
    • Demonstrate the identification of naïve, memory and effector T cells at various stages of differentiation, but also the detection of rare populations such as stem cell like memory T cells
    • Understand the panel design rationale, taking into account expression patterns as well as fluorochrome characteristics 

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