CellCycleTRACER accounts for cell cycle and volume in mass cytometry data
Mass cytometry is a powerful method of single cell analysis, but potential confounding effects of cell cycle and cell volume are not taken into account. Here the authors present a combined experimental and computational method to correct for these effects and reveal features of TNFα stimulation that...
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Nature Portfolio
2018
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oai:doaj.org-article:88cf8b87f8f24c58a5be08d7dbf1d9612021-12-02T14:39:05ZCellCycleTRACER accounts for cell cycle and volume in mass cytometry data10.1038/s41467-018-03005-52041-1723https://doaj.org/article/88cf8b87f8f24c58a5be08d7dbf1d9612018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03005-5https://doaj.org/toc/2041-1723Mass cytometry is a powerful method of single cell analysis, but potential confounding effects of cell cycle and cell volume are not taken into account. Here the authors present a combined experimental and computational method to correct for these effects and reveal features of TNFα stimulation that are otherwise masked.Maria Anna RapsomanikiXiao-Kang LunStefan WoernerMarco LaumannsBernd BodenmillerMaría Rodríguez MartínezNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018) |
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Science Q Maria Anna Rapsomaniki Xiao-Kang Lun Stefan Woerner Marco Laumanns Bernd Bodenmiller María Rodríguez Martínez CellCycleTRACER accounts for cell cycle and volume in mass cytometry data |
description |
Mass cytometry is a powerful method of single cell analysis, but potential confounding effects of cell cycle and cell volume are not taken into account. Here the authors present a combined experimental and computational method to correct for these effects and reveal features of TNFα stimulation that are otherwise masked. |
format |
article |
author |
Maria Anna Rapsomaniki Xiao-Kang Lun Stefan Woerner Marco Laumanns Bernd Bodenmiller María Rodríguez Martínez |
author_facet |
Maria Anna Rapsomaniki Xiao-Kang Lun Stefan Woerner Marco Laumanns Bernd Bodenmiller María Rodríguez Martínez |
author_sort |
Maria Anna Rapsomaniki |
title |
CellCycleTRACER accounts for cell cycle and volume in mass cytometry data |
title_short |
CellCycleTRACER accounts for cell cycle and volume in mass cytometry data |
title_full |
CellCycleTRACER accounts for cell cycle and volume in mass cytometry data |
title_fullStr |
CellCycleTRACER accounts for cell cycle and volume in mass cytometry data |
title_full_unstemmed |
CellCycleTRACER accounts for cell cycle and volume in mass cytometry data |
title_sort |
cellcycletracer accounts for cell cycle and volume in mass cytometry data |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/88cf8b87f8f24c58a5be08d7dbf1d961 |
work_keys_str_mv |
AT mariaannarapsomaniki cellcycletraceraccountsforcellcycleandvolumeinmasscytometrydata AT xiaokanglun cellcycletraceraccountsforcellcycleandvolumeinmasscytometrydata AT stefanwoerner cellcycletraceraccountsforcellcycleandvolumeinmasscytometrydata AT marcolaumanns cellcycletraceraccountsforcellcycleandvolumeinmasscytometrydata AT berndbodenmiller cellcycletraceraccountsforcellcycleandvolumeinmasscytometrydata AT mariarodriguezmartinez cellcycletraceraccountsforcellcycleandvolumeinmasscytometrydata |
_version_ |
1718390724733435904 |