Stochastic promoter activation affects Nanog expression variability in mouse embryonic stem cells

Mouse embryonic stem cells (mESCs) are self-renewing and capable of differentiating into any of the three germ layers. An interesting feature of mESCs is the presence of cell-to-cell heterogeneity in gene expression that may be responsible for cell fate decisions. Nanog, a key transcription factor for pluripotency, displays heterogeneous expression in mESCs, via mechanisms that are not fully understood. To understand this variability, we quantitatively analyzed Nanog transcription and found that Nanog was both infrequently transcribed, and transcribed in a pulsatile and stochastic manner. It is possible that such stochastic transcriptional activation could contribute to the heterogeneity observed in Nanog expression as “intrinsic noise.” To discriminate the effects of both intrinsic noise from other (extrinsic) noise on the expression variability of Nanog mRNA, we performed allele-specific single-molecule RNA fluorescent in situ hybridization in a reporter cell line and found that intrinsic noise contributed to approximately 45% of the total variability in Nanog expression. Furthermore, we found that Nanog mRNA and protein levels were well correlated in individual cells. These results suggest that stochastic promoter activation significantly affects the Nanog expression variability in mESCs.

[1]  J. Nichols,et al.  Nanog safeguards pluripotency and mediates germline development , 2007, Nature.

[2]  A. Oudenaarden,et al.  Single-molecule mRNA detection and counting in mammalian tissue , 2013, Nature Protocols.

[3]  Y. Garini,et al.  Quantifying the transcriptional output of single alleles in single living mammalian cells , 2013, Nature Protocols.

[4]  S. Horinouchi,et al.  Trichostatin A and trapoxin: Novel chemical probes for the role of histone acetylation in chromatin structure and function , 1995, BioEssays : news and reviews in molecular, cellular and developmental biology.

[5]  Melissa S. Jurica,et al.  Linking Stochastic Fluctuations in Chromatin Structure and Gene Expression , 2013, PLoS biology.

[6]  Petr Svoboda,et al.  Stochastic NANOG fluctuations allow mouse embryonic stem cells to explore pluripotency , 2014, Development.

[7]  R. Singer,et al.  Localization of ASH1 mRNA particles in living yeast. , 1998, Molecular cell.

[8]  Nicola Festuccia,et al.  Esrrb Is a Direct Nanog Target Gene that Can Substitute for Nanog Function in Pluripotent Cells , 2012, Cell stem cell.

[9]  M. Murakami,et al.  The Homeoprotein Nanog Is Required for Maintenance of Pluripotency in Mouse Epiblast and ES Cells , 2003, Cell.

[10]  J. Lis,et al.  Genome-wide dynamics of Pol II elongation and its interplay with promoter proximal pausing, chromatin, and exons , 2014, eLife.

[11]  Wolfgang Huber,et al.  Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages , 2013, Nature Cell Biology.

[12]  Daniel R. Larson,et al.  A single molecule view of gene expression. , 2009, Trends in cell biology.

[13]  M. Torres-Padilla,et al.  Transcription factor heterogeneity in pluripotent stem cells: a stochastic advantage , 2014, Development.

[14]  J. Nichols,et al.  Suppression of Erk signalling promotes ground state pluripotency in the mouse embryo , 2009, Development.

[15]  Ingo Roeder,et al.  A Model-Based Analysis of Culture-Dependent Phenotypes of mESCs , 2014, PloS one.

[16]  C. Cepko,et al.  Controlled expression of transgenes introduced by in vivo electroporation , 2007, Proceedings of the National Academy of Sciences.

[17]  Geoffrey J Barton,et al.  Live imaging of nascent RNA dynamics reveals distinct types of transcriptional pulse regulation , 2012, Proceedings of the National Academy of Sciences.

[18]  Michael B. Elowitz,et al.  Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells , 2014, Molecular cell.

[19]  A. Bradley,et al.  Generation of transgene-free induced pluripotent mouse stem cells by the piggyBac transposon , 2009, Nature Methods.

[20]  Bin Wu,et al.  Real-Time Observation of Transcription Initiation and Elongation on an Endogenous Yeast Gene , 2011, Science.

[21]  Tetsushi Sakuma,et al.  Repeating pattern of non-RVD variations in DNA-binding modules enhances TALEN activity , 2013, Scientific Reports.

[22]  R. Singer,et al.  Transcription goes digital , 2012, EMBO reports.

[23]  D. Ambrosetti,et al.  Synergistic activation of the fibroblast growth factor 4 enhancer by Sox2 and Oct-3 depends on protein-protein interactions facilitated by a specific spatial arrangement of factor binding sites , 1997, Molecular and cellular biology.

[24]  W. Reik,et al.  FGF Signaling Inhibition in ESCs Drives Rapid Genome-wide Demethylation to the Epigenetic Ground State of Pluripotency , 2013, Clinical Epigenetics.

[25]  A. Tanay,et al.  Single cell Hi-C reveals cell-to-cell variability in chromosome structure , 2013, Nature.

[26]  J. Peccoud,et al.  Markovian Modeling of Gene-Product Synthesis , 1995 .

[27]  P. Swain,et al.  Intrinsic and extrinsic contributions to stochasticity in gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Robert H Singer,et al.  Single-molecule analysis of gene expression using two-color RNA labeling in live yeast , 2012, Nature Methods.

[29]  Austin G Smith,et al.  The ground state of pluripotency. , 2010, Biochemical Society transactions.

[30]  A. Houtsmuller,et al.  Nuclear proteins: finding and binding target sites in chromatin , 2010, Chromosome Research.

[31]  C. Lim,et al.  Regulated Fluctuations in Nanog Expression Mediate Cell Fate Decisions in Embryonic Stem Cells , 2009, PLoS biology.

[32]  Wouter de Laat,et al.  Variegated gene expression caused by cell-specific long-range DNA interactions , 2011, Nature Cell Biology.

[33]  Thomas Ried,et al.  From Silencing to Gene Expression Real-Time Analysis in Single Cells , 2004, Cell.

[34]  D. Larson,et al.  Direct observation of frequency modulated transcription in single cells using light activation , 2013, eLife.

[35]  Jan H Bergmann,et al.  Random monoallelic gene expression increases upon embryonic stem cell differentiation. , 2014, Developmental cell.

[36]  Francesco Ferrari,et al.  Genome-wide chromatin interactions of the Nanog locus in pluripotency, differentiation, and reprogramming. , 2013, Cell stem cell.

[37]  Austin G Smith,et al.  FGF stimulation of the Erk1/2 signalling cascade triggers transition of pluripotent embryonic stem cells from self-renewal to lineage commitment , 2007, Development.

[38]  D. Trono,et al.  Reversible immortalization of human primary cells by lentivector-mediated transfer of specific genes. , 2000, Molecular therapy : the journal of the American Society of Gene Therapy.

[39]  Scott A. Rifkin,et al.  Imaging individual mRNA molecules using multiple singly labeled probes , 2008, Nature Methods.

[40]  Hye Yoon Park,et al.  A transgenic mouse for in vivo detection of endogenous labeled mRNA , 2010, Nature Methods.

[41]  M. Torres-Padilla,et al.  Control of ground-state pluripotency by allelic regulation of Nanog , 2012, Nature.

[42]  Takashi Hiiragi,et al.  Stochastic patterning in the mouse pre-implantation embryo , 2007, Development.

[43]  Cheng-Ying Wu,et al.  Coordinated repressive chromatin-remodeling of Oct4 and Nanog genes in RA-induced differentiation of embryonic stem cells involves RIP140 , 2014, Nucleic acids research.

[44]  Jeffrey W. Smith,et al.  Stochastic Gene Expression in a Single Cell , 2022 .

[45]  Nicola Festuccia,et al.  OCT4/SOX2‐independent Nanog autorepression modulates heterogeneous Nanog gene expression in mouse ES cells , 2012, The EMBO journal.

[46]  A. Bradley,et al.  A hyperactive piggyBac transposase for mammalian applications , 2011, Proceedings of the National Academy of Sciences.

[47]  J. Veselý Mode of action and effects of 5-azacytidine and of its derivatives in eukaryotic cells. , 1985, Pharmacology & therapeutics.

[48]  Neville E Sanjana,et al.  A transcription activator-like effector toolbox for genome engineering , 2012, Nature Protocols.

[49]  S. Matsuura,et al.  TALEN-mediated single-base-pair editing identification of an intergenic mutation upstream of BUB1B as causative of PCS (MVA) syndrome , 2013, Proceedings of the National Academy of Sciences.

[50]  J. Raser,et al.  Control of Stochasticity in Eukaryotic Gene Expression , 2004, Science.

[51]  D. Tranchina,et al.  Stochastic mRNA Synthesis in Mammalian Cells , 2006, PLoS biology.

[52]  A. van Oudenaarden,et al.  Allele-specific detection of single mRNA molecules in situ , 2013, Nature Methods.

[53]  R. Singer,et al.  Transcriptional Pulsing of a Developmental Gene , 2006, Current Biology.

[54]  Bin Wu,et al.  Fluorescence fluctuation spectroscopy enables quantitative imaging of single mRNAs in living cells. , 2012, Biophysical journal.