Published in
American Association for the Advancement of Science, Science Immunology, 9(2), 2017
DOI: 10.1126/sciimmunol.aal2192
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Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves T H 1/T FH fate bifurcation in malaria
Journal article published in 2017 by
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 N. Liligeto,
Michael J. T. Stubbington ,
Lam-Ha Ly,
Frederik Otzen Bagger ,
Max Zwiessele,
Neil D. Lawrence
and other authors.
,
Valentine Svensson ,
Kylie R. James ,
Daniel Fernandez-Ruiz ,
Ismail Sebina ,
Ruddy Montandon,
Megan S. F. Soon ,
Lily G. Fogg,
Arya Sheela Nair,
Urijah N. Liligeto,
Michael J. T. Stubbington ,
Lam-Ha Ly,
Frederik Otzen Bagger ,
Max Zwiessele,
Neil D. Lawrence
and other authors.
This paper is available in a repository.
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Abstract
Computational modeling defines T helper cell differentiation toward multiple fates during experimental malaria.