Dynamic heterogeneity and DNA methylation in embryonic stem cells.

Mol Cell

Howard Hughes Medical Institute and Division of Biology and Department of Applied Physics, California Institute of Technology, Pasadena, CA 91125, USA. Electronic address:

Published: July 2014

AI Article Synopsis

  • Cell populations, like embryonic stem cells (ESCs), are diverse and can exhibit random fluctuations in gene expression, posing a challenge to decipher this variability.
  • Researchers utilized single-molecule RNA-FISH and time-lapse imaging to analyze individual ESCs, revealing that gene expression can switch between stable states and also show bursts of activity.
  • Inhibition of the "2i" signaling pathway affects these variations, and DNA methylation is crucial for maintaining the balance of gene expression states, highlighting the interplay between noise, coherent states, and epigenetic factors in ESC dynamics.

Article Abstract

Cell populations can be strikingly heterogeneous, composed of multiple cellular states, each exhibiting stochastic noise in its gene expression. A major challenge is to disentangle these two types of variability and to understand the dynamic processes and mechanisms that control them. Embryonic stem cells (ESCs) provide an ideal model system to address this issue because they exhibit heterogeneous and dynamic expression of functionally important regulatory factors. We analyzed gene expression in individual ESCs using single-molecule RNA-FISH and quantitative time-lapse movies. These data discriminated stochastic switching between two coherent (correlated) gene expression states and burst-like transcriptional noise. We further showed that the "2i" signaling pathway inhibitors modulate both types of variation. Finally, we found that DNA methylation plays a key role in maintaining these metastable states. Together, these results show how ESC gene expression states and dynamics arise from a combination of intrinsic noise, coherent cellular states, and epigenetic regulation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4104113PMC
http://dx.doi.org/10.1016/j.molcel.2014.06.029DOI Listing

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