Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves T H 1/T FH fate bifurcation in malaria

• DOI: 10.1126/sciimmunol.aal2192
• Publication Date: 2017-03-04T02:10:37Z
• Authors: Tapio Lönnberg; Valentine Svensson; Kylie R. James; Daniel Fernandez-...; Ismail Sebina; Ruddy Montandon; Megan S. F. Soon; Lily G. Fogg; Arya Sheela Nair; Urijah N. Liligeto; Michael J. T. Stu...; Lam-Ha Ly; Frederik Otzen Ba...; Max Zwiessele; Neil D. Lawrence; Fernando Souza-Fo...; Patrick T. Bunn; Christian R. Engw...; William R. Heath; Oliver Billker; Oliver Stegle; Ashraful Haque; Sarah A. Teichmann
• Keywords: 0301 basic medicine; 570; Transcription Factor; 1.1 Normal biological development and functioning; Immunology; 3207 Medical Microbiology; Gene-Expression; Cxc Chemokine Receptor-5; 32 Biomedical and Clinical Sciences; FOS: Health sciences; Time; FOLLICULAR HELPER-CELL; 03 medical and health sciences; 0302 clinical medicine; Rare Diseases; Biodefense; Genetics; CXC CHEMOKINE RECEPTOR-5; Science & Technology; Reveals; Inflammatory and immune system; Human Genome; 3 Good Health and Well Being; Dendritic Cells; Differential Expression; 3. Good health; Cd4(+) T-Cells; 3204 Immunology; Infectious Diseases; Emerging Infectious Diseases; 2700 Medicine; Follicular Helper-Cell; FOS: Biological sciences; Effector; Life Sciences & Biomedicine; Biotechnology

Computational modeling defines T helper cell differentiation toward multiple fates during experimental malaria.