Literature DB >> 25005472

Stochastic NANOG fluctuations allow mouse embryonic stem cells to explore pluripotency.

Elsa Abranches1, Ana M V Guedes2, Martin Moravec3, Hedia Maamar4, Petr Svoboda3, Arjun Raj4, Domingos Henrique1.   

Abstract

Heterogeneous expression of the transcription factor NANOG has been linked to the existence of various functional states in pluripotent stem cells. This heterogeneity seems to arise from fluctuations of Nanog expression in individual cells, but a thorough characterization of these fluctuations and their impact on the pluripotent state is still lacking. Here, we have used a novel fluorescent reporter to investigate the temporal dynamics of NANOG expression in mouse embryonic stem cells (mESCs), and to dissect the lineage potential of mESCs at different NANOG states. Our results show that stochastic NANOG fluctuations are widespread in mESCs, with essentially all expressing cells showing fluctuations in NANOG levels, even when cultured in ground-state conditions (2i media). We further show that fluctuations have similar kinetics when mESCs are cultured in standard conditions (serum plus leukemia inhibitory factor) or ground-state conditions, implying that NANOG fluctuations are inherent to the pluripotent state. We have then compared the developmental potential of low-NANOG and high-NANOG mESCs, grown in different conditions, and confirm that mESCs are more susceptible to enter differentiation at the low-NANOG state. Further analysis by gene expression profiling reveals that low-NANOG cells have marked expression of lineage-affiliated genes, with variable profiles according to the signalling environment. By contrast, high-NANOG cells show a more stable expression profile in different environments, with minimal expression of lineage markers. Altogether, our data support a model in which stochastic NANOG fluctuations provide opportunities for mESCs to explore multiple lineage options, modulating their probability to change functional state.
© 2014. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Gene expression heterogeneity; Lineage priming; Nanog; Pluripotency; Stem cells

Mesh:

Substances:

Year:  2014        PMID: 25005472      PMCID: PMC6517831          DOI: 10.1242/dev.108910

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  59 in total

1.  Network plasticity of pluripotency transcription factors in embryonic stem cells.

Authors:  Adam Filipczyk; Carsten Marr; Simon Hastreiter; Justin Feigelman; Michael Schwarzfischer; Philipp S Hoppe; Dirk Loeffler; Konstantinos D Kokkaliaris; Max Endele; Bernhard Schauberger; Oliver Hilsenbeck; Stavroula Skylaki; Jan Hasenauer; Konstantinos Anastassiadis; Fabian J Theis; Timm Schroeder
Journal:  Nat Cell Biol       Date:  2015-09-21       Impact factor: 28.824

2.  Neurog3-Independent Methylation Is the Earliest Detectable Mark Distinguishing Pancreatic Progenitor Identity.

Authors:  Jing Liu; Amrita Banerjee; Charles A Herring; Jonathan Attalla; Ruiying Hu; Yanwen Xu; Qiujia Shao; Alan J Simmons; Prasanna K Dadi; Sui Wang; David A Jacobson; Bindong Liu; Emily Hodges; Ken S Lau; Guoqiang Gu
Journal:  Dev Cell       Date:  2019-01-07       Impact factor: 12.270

3.  Multiple cell and population-level interactions with mouse embryonic stem cell heterogeneity.

Authors:  Danielle Cannon; Adam M Corrigan; Agnes Miermont; Patrick McDonel; Jonathan R Chubb
Journal:  Development       Date:  2015-07-24       Impact factor: 6.868

4.  Dissecting mechanisms of mouse embryonic stem cells heterogeneity through a model-based analysis of transcription factor dynamics.

Authors:  Maria Herberg; Ingmar Glauche; Thomas Zerjatke; Maria Winzi; Frank Buchholz; Ingo Roeder
Journal:  J R Soc Interface       Date:  2016-04       Impact factor: 4.118

Review 5.  Transition states and cell fate decisions in epigenetic landscapes.

Authors:  Naomi Moris; Cristina Pina; Alfonso Martinez Arias
Journal:  Nat Rev Genet       Date:  2016-09-12       Impact factor: 53.242

6.  Intracellular Ca2+ Homeostasis and Nuclear Export Mediate Exit from Naive Pluripotency.

Authors:  Matthew S MacDougall; Ryan Clarke; Bradley J Merrill
Journal:  Cell Stem Cell       Date:  2019-05-16       Impact factor: 24.633

7.  Mapping the Effects of Genetic Variation on Chromatin State and Gene Expression Reveals Loci That Control Ground State Pluripotency.

Authors:  Daniel A Skelly; Anne Czechanski; Candice Byers; Selcan Aydin; Catrina Spruce; Chris Olivier; Kwangbom Choi; Daniel M Gatti; Narayanan Raghupathy; Gregory R Keele; Alexander Stanton; Matthew Vincent; Stephanie Dion; Ian Greenstein; Matthew Pankratz; Devin K Porter; Whitney Martin; Callan O'Connor; Wenning Qin; Alison H Harrill; Ted Choi; Gary A Churchill; Steven C Munger; Christopher L Baker; Laura G Reinholdt
Journal:  Cell Stem Cell       Date:  2020-08-13       Impact factor: 24.633

8.  Pluripotency gene network dynamics: System views from parametric analysis.

Authors:  Ilya R Akberdin; Nadezda A Omelyanchuk; Stanislav I Fadeev; Natalya E Leskova; Evgeniya A Oschepkova; Fedor V Kazantsev; Yury G Matushkin; Dmitry A Afonnikov; Nikolay A Kolchanov
Journal:  PLoS One       Date:  2018-03-29       Impact factor: 3.240

Review 9.  Single-cell gene expression profiling and cell state dynamics: collecting data, correlating data points and connecting the dots.

Authors:  Carsten Marr; Joseph X Zhou; Sui Huang
Journal:  Curr Opin Biotechnol       Date:  2016-05-23       Impact factor: 9.740

Review 10.  Imaging transcriptional dynamics.

Authors:  Bomyi Lim
Journal:  Curr Opin Biotechnol       Date:  2018-03-02       Impact factor: 9.740

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