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Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
by
Lasick, Kathleen A.
, Paek, Andrew L.
, Chakrabarti, Shaon
, Reyes, Jose
, Lahav, Galit
, Michor, Franziska
in
14
/ 14/63
/ 631/114
/ 631/80
/ Algorithms
/ Apoptosis
/ Apoptosis - physiology
/ Cell culture
/ Cell Differentiation - physiology
/ Cell fate
/ Cell lineage
/ Cell Lineage - physiology
/ Circadian Clocks - physiology
/ Circadian rhythm
/ Circadian Rhythm - physiology
/ Circadian rhythms
/ Cisplatin
/ Colon
/ Colon cancer
/ Computer applications
/ Correlation
/ HCT116 Cells
/ Heterogeneity
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Intravital Microscopy
/ LITAF protein
/ Models, Biological
/ multidisciplinary
/ Proteins
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis - methods
/ Software
2018
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Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
by
Lasick, Kathleen A.
, Paek, Andrew L.
, Chakrabarti, Shaon
, Reyes, Jose
, Lahav, Galit
, Michor, Franziska
in
14
/ 14/63
/ 631/114
/ 631/80
/ Algorithms
/ Apoptosis
/ Apoptosis - physiology
/ Cell culture
/ Cell Differentiation - physiology
/ Cell fate
/ Cell lineage
/ Cell Lineage - physiology
/ Circadian Clocks - physiology
/ Circadian rhythm
/ Circadian Rhythm - physiology
/ Circadian rhythms
/ Cisplatin
/ Colon
/ Colon cancer
/ Computer applications
/ Correlation
/ HCT116 Cells
/ Heterogeneity
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Intravital Microscopy
/ LITAF protein
/ Models, Biological
/ multidisciplinary
/ Proteins
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis - methods
/ Software
2018
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Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
by
Lasick, Kathleen A.
, Paek, Andrew L.
, Chakrabarti, Shaon
, Reyes, Jose
, Lahav, Galit
, Michor, Franziska
in
14
/ 14/63
/ 631/114
/ 631/80
/ Algorithms
/ Apoptosis
/ Apoptosis - physiology
/ Cell culture
/ Cell Differentiation - physiology
/ Cell fate
/ Cell lineage
/ Cell Lineage - physiology
/ Circadian Clocks - physiology
/ Circadian rhythm
/ Circadian Rhythm - physiology
/ Circadian rhythms
/ Cisplatin
/ Colon
/ Colon cancer
/ Computer applications
/ Correlation
/ HCT116 Cells
/ Heterogeneity
/ Humanities and Social Sciences
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Intravital Microscopy
/ LITAF protein
/ Models, Biological
/ multidisciplinary
/ Proteins
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis - methods
/ Software
2018
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Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
Journal Article
Hidden heterogeneity and circadian-controlled cell fate inferred from single cell lineages
2018
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Overview
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.
The origins of lineage correlations and heterogeneity in division and apoptosis times among single cells are incompletely understood. Here, a new lineage tracking data analysis approach reveals that circadian oscillations may underlie cell fate control and explain the observed correlation structures.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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