Literature DB >> 27616569

Transition states and cell fate decisions in epigenetic landscapes.

Naomi Moris1, Cristina Pina2, Alfonso Martinez Arias1.   

Abstract

Waddington's epigenetic landscape is an abstract metaphor frequently used to represent the relationship between gene activity and cell fates during development. Over the past few years, it has become a useful framework for interpreting results from single-cell transcriptomics experiments. It has led to the proposal that, during fate transitions, cells experience smooth, continuous progressions of global transcriptional activity, which can be captured by (pseudo)temporal dynamics. Here, focusing strictly on the fate decision events, we suggest an alternative view: that fate transitions occur in a discontinuous, stochastic manner whereby signals modulate the probability of the transition events.

Mesh:

Year:  2016        PMID: 27616569     DOI: 10.1038/nrg.2016.98

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  104 in total

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Review 4.  Computational and analytical challenges in single-cell transcriptomics.

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Review 5.  Nature, nurture, or chance: stochastic gene expression and its consequences.

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Journal:  Science       Date:  2015-11-05       Impact factor: 47.728

7.  Dissecting ensemble networks in ES cell populations reveals micro-heterogeneity underlying pluripotency.

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8.  FGF/MAPK signaling sets the switching threshold of a bistable circuit controlling cell fate decisions in embryonic stem cells.

Authors:  Christian Schröter; Pau Rué; Jonathan Peter Mackenzie; Alfonso Martinez Arias
Journal:  Development       Date:  2015-10-28       Impact factor: 6.868

9.  Single cell cultures of Drosophila neuroectodermal and mesectodermal central nervous system progenitors reveal different degrees of developmental autonomy.

Authors:  Karin Lüer; Gerhard M Technau
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  102 in total

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Review 3.  Statistical mechanics meets single-cell biology.

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Review 5.  Network inference in systems biology: recent developments, challenges, and applications.

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6.  scRCMF: Identification of Cell Subpopulations and Transition States From Single-Cell Transcriptomes.

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Review 7.  Starvation and Pseudo-Starvation as Drivers of Cancer Metastasis through Translation Reprogramming.

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Review 8.  Enhancer Predictions and Genome-Wide Regulatory Circuits.

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9.  Modelling acute myeloid leukaemia in a continuum of differentiation states.

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10.  Disconnect between alcohol-induced alterations in chromatin structure and gene transcription in a mouse embryonic stem cell model of exposure.

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