Literature DB >> 18497826

Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

Hannah H Chang1, Martin Hemberg, Mauricio Barahona, Donald E Ingber, Sui Huang.   

Abstract

Phenotypic cell-to-cell variability within clonal populations may be a manifestation of 'gene expression noise', or it may reflect stable phenotypic variants. Such 'non-genetic cell individuality' can arise from the slow fluctuations of protein levels in mammalian cells. These fluctuations produce persistent cell individuality, thereby rendering a clonal population heterogeneous. However, it remains unknown whether this heterogeneity may account for the stochasticity of cell fate decisions in stem cells. Here we show that in clonal populations of mouse haematopoietic progenitor cells, spontaneous 'outlier' cells with either extremely high or low expression levels of the stem cell marker Sca-1 (also known as Ly6a; ref. 9) reconstitute the parental distribution of Sca-1 but do so only after more than one week. This slow relaxation is described by a gaussian mixture model that incorporates noise-driven transitions between discrete subpopulations, suggesting hidden multi-stability within one cell type. Despite clonality, the Sca-1 outliers had distinct transcriptomes. Although their unique gene expression profiles eventually reverted to that of the median cells, revealing an attractor state, they lasted long enough to confer a greatly different proclivity for choosing either the erythroid or the myeloid lineage. Preference in lineage choice was associated with increased expression of lineage-specific transcription factors, such as a >200-fold increase in Gata1 (ref. 10) among the erythroid-prone cells, or a >15-fold increased PU.1 (Sfpi1) (ref. 11) expression among myeloid-prone cells. Thus, clonal heterogeneity of gene expression level is not due to independent noise in the expression of individual genes, but reflects metastable states of a slowly fluctuating transcriptome that is distinct in individual cells and may govern the reversible, stochastic priming of multipotent progenitor cells in cell fate decision.

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Year:  2008        PMID: 18497826      PMCID: PMC5546414          DOI: 10.1038/nature06965

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  23 in total

Review 1.  Hematopoiesis and stem cells: plasticity versus developmental heterogeneity.

Authors:  Stuart H Orkin; Leonard I Zon
Journal:  Nat Immunol       Date:  2002-04       Impact factor: 25.606

2.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

3.  Control of stochasticity in eukaryotic gene expression.

Authors:  Jonathan M Raser; Erin K O'Shea
Journal:  Science       Date:  2004-05-27       Impact factor: 47.728

4.  Variability and memory of protein levels in human cells.

Authors:  Alex Sigal; Ron Milo; Ariel Cohen; Naama Geva-Zatorsky; Yael Klein; Yuvalal Liron; Nitzan Rosenfeld; Tamar Danon; Natalie Perzov; Uri Alon
Journal:  Nature       Date:  2006-11-19       Impact factor: 49.962

5.  Do stem cells play dice?

Authors:  T Enver; C M Heyworth; T M Dexter
Journal:  Blood       Date:  1998-07-15       Impact factor: 22.113

6.  Non-genetic individuality: chance in the single cell.

Authors:  J L Spudich; D E Koshland
Journal:  Nature       Date:  1976-08-05       Impact factor: 49.962

Review 7.  Concise review: stem cell antigen-1: expression, function, and enigma.

Authors:  Christina Holmes; William L Stanford
Journal:  Stem Cells       Date:  2007-03-22       Impact factor: 6.277

8.  Lymphohematopoietic progenitors immortalized by a retroviral vector harboring a dominant-negative retinoic acid receptor can recapitulate lymphoid, myeloid, and erythroid development.

Authors:  S Tsai; S Bartelmez; E Sitnicka; S Collins
Journal:  Genes Dev       Date:  1994-12-01       Impact factor: 11.361

9.  Mouse hematopoietic stem-cell antigen Sca-1 is a member of the Ly-6 antigen family.

Authors:  M van de Rijn; S Heimfeld; G J Spangrude; I L Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  1989-06       Impact factor: 11.205

10.  Quantitative flow cytometry: inter-laboratory variation.

Authors:  V E Zenger; R Vogt; F Mandy; A Schwartz; G E Marti
Journal:  Cytometry       Date:  1998-10-01
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  469 in total

Review 1.  Murine mammary epithelial stem cells: discovery, function, and current status.

Authors:  Jane E Visvader; Gilbert H Smith
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-02-01       Impact factor: 10.005

2.  Fractal analysis in a systems biology approach to cancer.

Authors:  M Bizzarri; A Giuliani; A Cucina; F D'Anselmi; A M Soto; C Sonnenschein
Journal:  Semin Cancer Biol       Date:  2011-04-13       Impact factor: 15.707

3.  Stability and multiattractor dynamics of a toggle switch based on a two-stage model of stochastic gene expression.

Authors:  Michael Strasser; Fabian J Theis; Carsten Marr
Journal:  Biophys J       Date:  2012-01-03       Impact factor: 4.033

4.  Predicting mutation outcome from early stochastic variation in genetic interaction partners.

Authors:  Alejandro Burga; M Olivia Casanueva; Ben Lehner
Journal:  Nature       Date:  2011-12-07       Impact factor: 49.962

5.  Single-cell profiling of developing and mature retinal neurons.

Authors:  Jillian J Goetz; Jeffrey M Trimarchi
Journal:  J Vis Exp       Date:  2012-04-19       Impact factor: 1.355

6.  The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation.

Authors:  Jin Wang; Li Xu; Erkang Wang; Sui Huang
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

Review 7.  Mapping the life histories of T cells.

Authors:  Ton N M Schumacher; Carmen Gerlach; Jeroen W J van Heijst
Journal:  Nat Rev Immunol       Date:  2010-08-06       Impact factor: 53.106

8.  Epigenetic stability increases extensively during Drosophila follicle stem cell differentiation.

Authors:  Andrew D Skora; Allan C Spradling
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-05       Impact factor: 11.205

9.  Digital nature of the immediate-early transcriptional response.

Authors:  Michelle Stevense; Tetsuya Muramoto; Iris Müller; Jonathan R Chubb
Journal:  Development       Date:  2010-02       Impact factor: 6.868

10.  Neonatal sepsis and neutrophil insufficiencies.

Authors:  John Nicholas Melvan; Gregory J Bagby; David A Welsh; Steve Nelson; Ping Zhang
Journal:  Int Rev Immunol       Date:  2010-06       Impact factor: 5.311

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