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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 (2018). CellCycleTRACER accounts for cell cycle and volume in mass cytometry data. Nature Communications, 9(1):632.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:12 February 2018
Deposited On:22 Feb 2019 11:09
Last Modified:25 Sep 2019 00:08
Publisher:Nature Publishing Group
ISSN:2041-1723
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1038/s41467-018-03005-5
PubMed ID:29434325

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