BBSRC MATSYB network  I2M: Immunology, Imaging and Modelling

British Society for Immunology, Mathematical modelling affinity group

Experimental and theoretical immunology

University of Leeds, 18 Mar 2011

Registration: free
To register, please email i2m



  • 09:30
    Carmen Gerlach (Netherlands Cancer Institute)

    Mapping T cell fate at the clonal level by cellular barcoding

    CD8+ T cell responses to infection are highly heterogeneous with respect to surface marker expression, cytokine production and longevity of the responding T cells. Nevertheless it is largely unclear how these distinct subsets arise. To investigate how heterogeneity within the CD8+ T cell lineage is generated, we have developed a novel technology - called cellular barcoding - that enables fate mapping of individual naive T cells. This technology is based on the introduction of unique genetic tags into single naive T cells that transmit their specific tag to all progeny. Thereby, different T cell subsets can be identified as being related (derived from a common progenitor within the naive T cell pool) if they share genetic tags.

    Using this barcoding technology we have addressed issues of cellular kinship and clonal diversity. With respect to the first, we have demonstrated that antigen-specific effector and memory CD8+ T cell populations are progeny of the same naive T cell clones. With respect to the second, by using cellular barcoding to measure the clonal diversity within T cell responses we have shown that the efficiency by which antigen-specific naive T cells are recruited into the immune response is remarkably constant for T cell responses that are either weak or strong. Currently we are investigating to what extent individual naive antigen-specific CD8+ T cells contribute to the magnitude of the overall response. Do all T cells of a given affinity for antigen produce equal numbers of progeny, or is the total effector pool predominantly created by the output of few? To quantify individual clone sizes, we have coupled our barcoding technology to a deep-sequencing-based quantitative readout system and found that after Listeria monocytogenes infection, individual naive T cells produce highly variable numbers of daughter cells, in spite of the fact that these T cells recognize the model antigen with equal affinity.

  • 10:30
    David McDowell (LGC Genomics)

    DNA Sequencing in a Commercial Setting

    The early history of DNA can be traced back to the late 19th century. From these exciting yet modest beginnings and the now famous experiments on inherited traits in peas by the Czeck monk Gregor Mendel, the 21st century is rapidly proving to be the era when genomic sequencing becomes routine.

    So called next generation sequencing has a multitude of variations and applications ranging from the analysis of specific gene regions to whole genomes and transcriptomes. Such forms of sequence analysis have migrated from academic labs through core facilities and into commercial service laboratories where they are now part of the routine service offering.

    Commercial operations have much to offer both the industrial and academic sectors in the current economic climate. A brief history of DNA from discovery to the wide range of related services that can be obtained from the modern genomics service laboratory will be presented.

  • 11:30-12:00 coffee
  • 12:00
    Gareth Howell (Leeds)

    Flow cytometry: introduction and applications of flow cytometry in biological research

    An introduction to the technology and applications of flow cytometry, from cell cycle to multiparameter immunophenotyping and high throughput analysis and its potential for enabling computational modeling of biological systems.
  • 13:00-14:00 lunch provided
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