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CellCycleTRACER accounts for cell cycle and volume in mass cytometry data.
Rapsomaniki, Maria Anna; Lun, Xiao-Kang; Woerner, Stefan; Laumanns, Marco; Bodenmiller, Bernd; Martínez, María Rodríguez.
Afiliação
  • Rapsomaniki MA; Zürich Research Lab, IBM, Säumerstrasse 4, 8803, Rüschlikon, Switzerland.
  • Lun XK; Institute of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.
  • Woerner S; Molecular Life Science Ph.D. Program, Life Science Zürich Graduate School, ETH Zürich and University of Zürich, 8057 Zürich, Switzerland.
  • Laumanns M; Zürich Research Lab, IBM, Säumerstrasse 4, 8803, Rüschlikon, Switzerland.
  • Bodenmiller B; Zürich Research Lab, IBM, Säumerstrasse 4, 8803, Rüschlikon, Switzerland.
  • Martínez MR; BestMile SA, EPFL Innovation Park, Building D, 1015 Lausanne, Switzerland.
Nat Commun ; 9(1): 632, 2018 02 12.
Article em En | MEDLINE | ID: mdl-29434325
Recent studies have shown that cell cycle and cell volume are confounding factors when studying biological phenomena in single cells. Here we present a combined experimental and computational method, CellCycleTRACER, to account for these factors in mass cytometry data. CellCycleTRACER is applied to mass cytometry data collected on three different cell types during a TNFα stimulation time-course. CellCycleTRACER reveals signaling relationships and cell heterogeneity that were otherwise masked.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciclo Celular / Células / Análise de Célula Única / Citometria de Fluxo Tipo de estudo: Evaluation_studies Limite: Humans Idioma: En Revista: Nat Commun Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ciclo Celular / Células / Análise de Célula Única / Citometria de Fluxo Tipo de estudo: Evaluation_studies Limite: Humans Idioma: En Revista: Nat Commun Ano de publicação: 2018 Tipo de documento: Article