TrackSOM: Mapping immune response dynamics through clustering of time-course cytometry data.

Autor: Putri GH; School of Computer Science, The University of Sydney, Sydney, New South Wales, Australia.; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia., Chung J; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia.; Viral Immunopathology Laboratory, Discipline of Pathology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia., Edwards DN; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia.; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia., Marsh-Wakefield F; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia.; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.; Vascular Immunology Unit, Department of Pathology, The University of Sydney, Sydney, New South Wales, Australia.; Sydney Cytometry Core Research Facility, The University of Sydney and Centenary Institute, Sydney, New South Wales, Australia., Koprinska I; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia., Dervish S; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia., King NJC; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia.; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.; Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, New South Wales, Australia.; Sydney Nano, The University of Sydney, Sydney, New South Wales, Australia., Ashhurst TM; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia.; Vascular Immunology Unit, Department of Pathology, The University of Sydney, Sydney, New South Wales, Australia.; Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, New South Wales, Australia.; Sydney Nano, The University of Sydney, Sydney, New South Wales, Australia., Read MN; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.; The Westmead Initiative, The University of Sydney, Sydney, New South Wales, Australia.; Viral Immunopathology Laboratory, Discipline of Pathology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Jazyk: angličtina
Zdroj: Cytometry. Part A : the journal of the International Society for Analytical Cytology [Cytometry A] 2023 Jan; Vol. 103 (1), pp. 54-70. Date of Electronic Publication: 2022 Jul 19.
DOI: 10.1002/cyto.a.24668
Abstrakt: Mapping the dynamics of immune cell populations over time or disease-course is key to understanding immunopathogenesis and devising putative interventions. We present TrackSOM, a novel method for delineating cellular populations and tracking their development over a time- or disease-course cytometry datasets. We demonstrate TrackSOM-enabled elucidation of the immune response to West Nile Virus infection in mice, uncovering heterogeneous subpopulations of immune cells and relating their functional evolution to disease severity. TrackSOM is easy to use, encompasses few parameters, is quick to execute, and enables an integrative and dynamic overview of the immune system kinetics that underlie disease progression and/or resolution.
(© 2022 International Society for Advancement of Cytometry.)
Databáze: MEDLINE
Externí odkaz: