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Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages

The origin of lineage correlations among single cells and the extent of heterogeneity in their intermitotic times (IMT) and apoptosis times (AT) remain incompletely understood. Here we developed single cell lineage-tracking experiments and computational algorithms to uncover correlations and heterog...

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Autores principales: Chakrabarti, Shaon, Paek, Andrew L., Reyes, Jose, Lasick, Kathleen A., Lahav, Galit, Michor, Franziska
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299096/
https://www.ncbi.nlm.nih.gov/pubmed/30560953
http://dx.doi.org/10.1038/s41467-018-07788-5
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author Chakrabarti, Shaon
Paek, Andrew L.
Reyes, Jose
Lasick, Kathleen A.
Lahav, Galit
Michor, Franziska
author_facet Chakrabarti, Shaon
Paek, Andrew L.
Reyes, Jose
Lasick, Kathleen A.
Lahav, Galit
Michor, Franziska
author_sort Chakrabarti, Shaon
collection PubMed
description The origin of lineage correlations among single cells and the extent of heterogeneity in their intermitotic times (IMT) and apoptosis times (AT) remain incompletely understood. Here we developed single cell lineage-tracking experiments and computational algorithms to uncover correlations and heterogeneity in the IMT and AT of a colon cancer cell line before and during cisplatin treatment. These correlations could not be explained using simple protein production/degradation models. Sister cell fates were similar regardless of whether they divided before or after cisplatin administration and did not arise from proximity-related factors, suggesting fate determination early in a cell’s lifetime. Based on these findings, we developed a theoretical model explaining how the observed correlation structure can arise from oscillatory mechanisms underlying cell fate control. Our model recapitulated the data only with very specific oscillation periods that fit measured circadian rhythms, thereby suggesting an important role of the circadian clock in controlling cellular fates.
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spelling pubmed-62990962018-12-20 Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages Chakrabarti, Shaon Paek, Andrew L. Reyes, Jose Lasick, Kathleen A. Lahav, Galit Michor, Franziska Nat Commun Article The origin of lineage correlations among single cells and the extent of heterogeneity in their intermitotic times (IMT) and apoptosis times (AT) remain incompletely understood. Here we developed single cell lineage-tracking experiments and computational algorithms to uncover correlations and heterogeneity in the IMT and AT of a colon cancer cell line before and during cisplatin treatment. These correlations could not be explained using simple protein production/degradation models. Sister cell fates were similar regardless of whether they divided before or after cisplatin administration and did not arise from proximity-related factors, suggesting fate determination early in a cell’s lifetime. Based on these findings, we developed a theoretical model explaining how the observed correlation structure can arise from oscillatory mechanisms underlying cell fate control. Our model recapitulated the data only with very specific oscillation periods that fit measured circadian rhythms, thereby suggesting an important role of the circadian clock in controlling cellular fates. Nature Publishing Group UK 2018-12-18 /pmc/articles/PMC6299096/ /pubmed/30560953 http://dx.doi.org/10.1038/s41467-018-07788-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chakrabarti, Shaon
Paek, Andrew L.
Reyes, Jose
Lasick, Kathleen A.
Lahav, Galit
Michor, Franziska
Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
title Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
title_full Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
title_fullStr Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
title_full_unstemmed Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
title_short Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
title_sort hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299096/
https://www.ncbi.nlm.nih.gov/pubmed/30560953
http://dx.doi.org/10.1038/s41467-018-07788-5
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