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  • Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves TH1/TFH fate bifurcation in malaria

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    Engwerda194832-Accepted.pdf (2.654Mb)
    Author(s)
    Lonnberg, Tapio
    Svensson, Valentine
    James, Kylie R
    Fernandez-Ruiz, Daniel
    Sebina, Ismail
    Montandon, Ruddy
    Soon, Megan SF
    Fogg, Lily G
    Nair, Arya Sheela
    Liligeto, Urijah N
    Stubbington, Michael JT
    Ly, Lam-Ha
    Bagger, Frederik Otzen
    Zwiessele, Max
    Lawrence, Neil D
    Souza-Fonseca-Guimaraes, Fernando
    Bunn, Patrick T
    Engwerda, Christian R
    Heath, William R
    Billker, Oliver
    Stegle, Oliver
    Haque, Ashraful
    Teichmann, Sarah A
    Griffith University Author(s)
    Engwerda, Christian R.
    Year published
    2017
    Metadata
    Show full item record
    Abstract
    Differentiation of naïve CD4+ T cells into functionally distinct T helper subsets is crucial for the orchestration of immune responses. Due to extensive heterogeneity and multiple overlapping transcriptional programs in differentiating T cell populations, this process has remained a challenge for systematic dissection in vivo. By using single-cell transcriptomics and computational analysis using a temporal mixtures of Gaussian processes model, termed GPfates, we reconstructed the developmental trajectories of Th1 and Tfh cells during blood-stage Plasmodium infection in mice. By tracking clonality using endogenous TCR sequences, ...
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    Differentiation of naïve CD4+ T cells into functionally distinct T helper subsets is crucial for the orchestration of immune responses. Due to extensive heterogeneity and multiple overlapping transcriptional programs in differentiating T cell populations, this process has remained a challenge for systematic dissection in vivo. By using single-cell transcriptomics and computational analysis using a temporal mixtures of Gaussian processes model, termed GPfates, we reconstructed the developmental trajectories of Th1 and Tfh cells during blood-stage Plasmodium infection in mice. By tracking clonality using endogenous TCR sequences, we first demonstrated that Th1/Tfh bifurcation had occurred at both population and single-clone levels. Next, we identified genes whose expression was associated with Th1 or Tfh fates, and demonstrated a T-cell intrinsic role for Galectin-1 in supporting a Th1 differentiation. We also revealed the close molecular relationship between Th1 and IL-10-producing Tr1 cells in this infection. Th1 and Tfh fates emerged from a highly proliferative precursor that upregulated aerobic glycolysis and accelerated cell cycling as cytokine expression began. Dynamic gene expression of chemokine receptors around bifurcation predicted roles for cell-cell in driving Th1/Tfh fates. In particular, we found that precursor Th cells were coached towards a Th1 but not a Tfh fate by inflammatory monocytes. Thus, by integrating genomic and computational approaches, our study has provided two unique resources, a database www.PlasmoTH.org, which facilitates discovery of novel factors controlling Th1/Tfh fate commitment, and more generally, GPfates, a modelling framework for characterizing cell differentiation towards multiple fates.
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    Journal Title
    Science Immunology
    Volume
    2
    Issue
    9
    DOI
    https://doi.org/10.1126/sciimmunol.aal2192
    Copyright Statement
    © The Author(s) 2017. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Signaling on Vol. 2, Issue 9, eaal2192, 2017, DOI: https://dx.doi.org/10.1126/sciimmunol.aal2192.
    Subject
    Immunology
    Science & Technology
    Life Sciences & Biomedicine
    Immunology
    FOLLICULAR HELPER-CELL
    CXC CHEMOKINE RECEPTOR-5
    Publication URI
    http://hdl.handle.net/10072/391917
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    • Journal articles

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