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Lönnberg T, Svensson V, James KR, et al. Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria. Sci Immunol. 2017;2(9)doi: 10.1126/sciimmunol.aal2192.
Lönnberg, T., Svensson, V., James, K. R., Fernandez-Ruiz, D., Sebina, I., Montandon, R., Soon, M. S., Fogg, L. G., Nair, A. S., Liligeto, U., Stubbington, M. J., Ly, L. H., Bagger, F. O., Zwiessele, M., Lawrence, N. D., Souza-Fonseca-Guimaraes, F., Bunn, P. T., Engwerda, C. R., Heath, W. R., Billker, O., Stegle, O., Haque, A., & Teichmann, S. A. (2017). Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria. Science immunology, 2(9), . https://doi.org/10.1126/sciimmunol.aal2192
Lönnberg, Tapio, et al. "Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria." Science immunology vol. 2,9 (2017). doi: https://doi.org/10.1126/sciimmunol.aal2192
Lönnberg T, Svensson V, James KR, Fernandez-Ruiz D, Sebina I, Montandon R, Soon MS, Fogg LG, Nair AS, Liligeto U, Stubbington MJ, Ly LH, Bagger FO, Zwiessele M, Lawrence ND, Souza-Fonseca-Guimaraes F, Bunn PT, Engwerda CR, Heath WR, Billker O, Stegle O, Haque A, Teichmann SA. Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria. Sci Immunol. 2017 Mar 03;2(9). doi: 10.1126/sciimmunol.aal2192. PMID: 28345074; PMCID: PMC5365145.
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Sci Immunol. 2017 Mar 03;2(9). doi: 10.1126/sciimmunol.aal2192.

Single-cell RNA-seq and computational analysis using temporal mixture modelling resolves Th1/Tfh fate bifurcation in malaria.

Science immunology

Tapio Lönnberg, Valentine Svensson, Kylie R James, Daniel Fernandez-Ruiz, Ismail Sebina, Ruddy Montandon, Megan S F Soon, Lily G Fogg, Arya Sheela Nair, Urijah Liligeto, Michael J T Stubbington, Lam-Ha Ly, Frederik Otzen Bagger, Max Zwiessele, Neil D Lawrence, Fernando Souza-Fonseca-Guimaraes, Patrick T Bunn, Christian R Engwerda, William R Heath, Oliver Billker, Oliver Stegle, Ashraful Haque, Sarah A Teichmann

Affiliations

  1. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK; Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  2. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
  3. QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia.
  4. Department of Microbiology and Immunology, The Peter Doherty Institute, University of Melbourne, Parkville, Victoria, Australia.
  5. Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  6. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK; Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK; Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge, UK.
  7. Department of Computer Science, University of Sheffield, Sheffield, UK.
  8. Department of Microbiology and Immunology, The Peter Doherty Institute, University of Melbourne, Parkville, Victoria, Australia; The Australian Research Council Centre of Excellence in Advanced Molecular Imaging, The University of Melbourne, Parkville, Victoria, Australia.

PMID: 28345074 PMCID: PMC5365145 DOI: 10.1126/sciimmunol.aal2192

Abstract

Differentiation of naïve CD4

Conflict of interest statement

Competing interests The authors declare no competing interests.

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