E-viri
PDF
Recenzirano
Odprti dostop
-
Rapsomaniki, Maria Anna; Lun, Xiao-Kang; Woerner, Stefan; Laumanns, Marco; Bodenmiller, Bernd; Martínez, María Rodríguez
Nature communications, 02/2018, Letnik: 9, Številka: 1Journal Article
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.
