Cargando…

Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Singer, Zakary S., Yong, John, Tischler, Julia, Hackett, Jamie A., Altinok, Alphan, Surani, M. Azim, Cai, Long, Elowitz, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4104113/
https://www.ncbi.nlm.nih.gov/pubmed/25038413
http://dx.doi.org/10.1016/j.molcel.2014.06.029
_version_ 1782327240284962816
author Singer, Zakary S.
Yong, John
Tischler, Julia
Hackett, Jamie A.
Altinok, Alphan
Surani, M. Azim
Cai, Long
Elowitz, Michael B.
author_facet Singer, Zakary S.
Yong, John
Tischler, Julia
Hackett, Jamie A.
Altinok, Alphan
Surani, M. Azim
Cai, Long
Elowitz, Michael B.
author_sort Singer, Zakary S.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4104113
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Cell Press
record_format MEDLINE/PubMed
spelling pubmed-41041132014-07-24 Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells Singer, Zakary S. Yong, John Tischler, Julia Hackett, Jamie A. Altinok, Alphan Surani, M. Azim Cai, Long Elowitz, Michael B. Mol Cell Resource 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. Cell Press 2014-07-17 /pmc/articles/PMC4104113/ /pubmed/25038413 http://dx.doi.org/10.1016/j.molcel.2014.06.029 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Resource
Singer, Zakary S.
Yong, John
Tischler, Julia
Hackett, Jamie A.
Altinok, Alphan
Surani, M. Azim
Cai, Long
Elowitz, Michael B.
Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells
title Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells
title_full Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells
title_fullStr Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells
title_full_unstemmed Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells
title_short Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells
title_sort dynamic heterogeneity and dna methylation in embryonic stem cells
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4104113/
https://www.ncbi.nlm.nih.gov/pubmed/25038413
http://dx.doi.org/10.1016/j.molcel.2014.06.029
work_keys_str_mv AT singerzakarys dynamicheterogeneityanddnamethylationinembryonicstemcells
AT yongjohn dynamicheterogeneityanddnamethylationinembryonicstemcells
AT tischlerjulia dynamicheterogeneityanddnamethylationinembryonicstemcells
AT hackettjamiea dynamicheterogeneityanddnamethylationinembryonicstemcells
AT altinokalphan dynamicheterogeneityanddnamethylationinembryonicstemcells
AT suranimazim dynamicheterogeneityanddnamethylationinembryonicstemcells
AT cailong dynamicheterogeneityanddnamethylationinembryonicstemcells
AT elowitzmichaelb dynamicheterogeneityanddnamethylationinembryonicstemcells