A Novel Statistical Framework to Characterize Antigen-specific T-Cell Functional Diversity in Single-cell Expression Data
January 27, 2015 @ 04:00 pm
to 05:00 pm
Lynn Lin, Fred Hutchinson Cancer Research Center
201 Thomas Bldg
STATISTICS SEMINAR_ TUESDAY, JANUARY 27, 2015_ 4:00 pm _ 201 Thomas Bldg._ _ Coffee/Cookies: 3:30 pm _ 330 Thomas Bldg._ _ _ LYNN LIN, Fred Hutchinson Cancer Research Center_ _ _ A Novel Statistical Framework to Characterize Antigen-specific T-Cell Functional Diversity in Single-cell Expression Data_ _ _ I will talk about COMPASS, a new Bayesian hierarchical framework for characterizing functional differences in antigen-specific T cells by leveraging high-throughput, single-cell flow cytometry data. In particular, I will illustrate, using a variety of data sets, how COMPASS can reveal subtle and complex changes in antigen-specific T-cell activation profiles that correlate with biological endpoints. Applying COMPASS to data from the RV144 (the Thai trial) HIV clinical trial, it identified novel T-cell subsets that were inverse correlates of HIV infection risk. I also developed intuitive metrics for summarizing multivariate antigen-specific T-cell activation profiles for endpoints analysis. In addition, COMPASS identified correlates of latent infection in an immune study of Tuberculosis among South African adolescents. COMPASS is available as an R package and is sufficiently general that it can be adapted to new high-throughput data types, such as Mass Cytometry (CyTOF) and single-cell gene expressions, enabling interdisciplinary collaboration, which I will also highlight in my talk. _