Literature DB >> 30174289

Integration of Multiple Metabolic Signals Determines Cell Fate Prior to Commitment.

Orlando Argüello-Miranda1, Yanjie Liu2, N Ezgi Wood3, Piya Kositangool2, Andreas Doncic4.   

Abstract

Cell-fate decisions are central to the survival and development of both uni- and multicellular organisms. It remains unclear when and to what degree cells can decide on future fates prior to commitment. This uncertainty stems from experimental and theoretical limitations in measuring and integrating multiple signals at the single-cell level during a decision process. Here, we combine six-color live-cell imaging with the Bayesian method of statistical evidence to study the meiosis/quiescence decision in budding yeast. Integration of multiple upstream metabolic signals predicts individual cell fates with high probability well before commitment. Cells "decide" their fates before birth, well before the activation of pathways characteristic of downstream cell fates. This decision, which remains stable through several cell cycles, occurs when multiple metabolic parameters simultaneously cross cell-fate-specific thresholds. Taken together, our results show that cells can decide their future fates long before commitment mechanisms are activated.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bayesian analysis; cell size; cellular decision-making; deterministic; meiosis; quantitative imaging; quiescence; sporulation; statistical evidence; stochastic

Mesh:

Year:  2018        PMID: 30174289     DOI: 10.1016/j.molcel.2018.07.041

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  11 in total

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Review 2.  Live-cell fluorescence spectral imaging as a data science challenge.

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3.  Cdc14 spatiotemporally dephosphorylates Atg13 to activate autophagy during meiotic divisions.

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Review 4.  Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations.

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5.  Regulated repression governs the cell fate promoter controlling yeast meiosis.

Authors:  Janis Tam; Folkert J van Werven
Journal:  Nat Commun       Date:  2020-05-08       Impact factor: 14.919

6.  A fully-automated, robust, and versatile algorithm for long-term budding yeast segmentation and tracking.

Authors:  N Ezgi Wood; Andreas Doncic
Journal:  PLoS One       Date:  2019-03-27       Impact factor: 3.240

7.  Forecasting cell fate during antibiotic exposure using stochastic gene expression.

Authors:  Nicholas A Rossi; Imane El Meouche; Mary J Dunlop
Journal:  Commun Biol       Date:  2019-07-11

8.  Regulation of trehalase activity by multi-site phosphorylation and 14-3-3 interaction.

Authors:  Lisa Dengler; Mihkel Örd; Lucca M Schwab; Mart Loog; Jennifer C Ewald
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

9.  ER-localized phosphatidylethanolamine synthase plays a conserved role in lipid droplet formation.

Authors:  Mehmet Oguz Gok; Natalie Ortiz Speer; W Mike Henne; Jonathan R Friedman
Journal:  Mol Biol Cell       Date:  2021-11-24       Impact factor: 4.138

10.  Cell cycle-independent integration of stress signals by Xbp1 promotes Non-G1/G0 quiescence entry.

Authors:  Orlando Argüello-Miranda; Ashley J Marchand; Taylor Kennedy; Marielle A X Russo; Jungsik Noh
Journal:  J Cell Biol       Date:  2021-10-25       Impact factor: 8.077

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