Literature DB >> 2167833

The dose dependence of glucocorticoid-inducible gene expression results from changes in the number of transcriptionally active templates.

M S Ko1, H Nakauchi, N Takahashi.   

Abstract

Glucocorticoid hormones induce the transcription of genes having glucocorticoid response elements in a dose dependent manner. To determine whether this dose dependence represents a response of individual templates or of the mass of templates, we introduced a bacterial beta-galactosidase gene linked to the glucocorticoid-inducible enhancer/promoter of the mouse mammary tumor virus (MTV) into Ltk- cells and obtained stable transformants containing a single or a few templates per cell. Visual inspection and flow cytometry analysis by enzyme histochemistry assay for beta-galactosidase revealed that individual cells showed very heterogeneous beta-galactosidase activity after 48 h induction with dexamethasone. When the glucocorticoid concentration was increased, an increasing cell population producing beta-galactosidase was observed. These phenomena were probably not due to heterogeneity of template copy number or to a predetermined cellular state among individual cells, since cells forming a single small colony gave similar results. This was also supported by data showing that recloned cells retained both their responsiveness to the glucocorticoid hormone and their digestion pattern in Southern blotting analyses. These results indicate that the dose dependent increase of glucocorticoid-inducible gene expression is caused by an increase in the number of transcriptionally active templates.

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Year:  1990        PMID: 2167833      PMCID: PMC551995          DOI: 10.1002/j.1460-2075.1990.tb07472.x

Source DB:  PubMed          Journal:  EMBO J        ISSN: 0261-4189            Impact factor:   11.598


  36 in total

1.  Positional information and the spatial pattern of cellular differentiation.

Authors:  L Wolpert
Journal:  J Theor Biol       Date:  1969-10       Impact factor: 2.691

2.  The canine major histocompatibility complex. Supertypic specificities defined by the primed lymphocyte test (PLT).

Authors:  W C Ladiges; R F Raff; S Brown; H J Deeg; R Storb
Journal:  Immunogenetics       Date:  1984       Impact factor: 2.846

3.  Glucocorticoid regulation of protein processing and compartmentalization.

Authors:  G L Firestone; F Payvar; K R Yamamoto
Journal:  Nature       Date:  1982-11-18       Impact factor: 49.962

4.  Transformation of mammalian cells to antibiotic resistance with a bacterial gene under control of the SV40 early region promoter.

Authors:  P J Southern; P Berg
Journal:  J Mol Appl Genet       Date:  1982

Review 5.  Glucocorticoid regulation of gene expression: mouse mammary tumor virus as a model system.

Authors:  G M Ringold; D E Dobson; J R Grove; C V Hall; F Lee; J L Vannice
Journal:  Recent Prog Horm Res       Date:  1983

6.  Glucocorticoids and chromosomal position modulate murine mammary tumor virus transcription by affecting efficiency of promoter utilization.

Authors:  D S Ucker; G L Firestone; K R Yamamoto
Journal:  Mol Cell Biol       Date:  1983-04       Impact factor: 4.272

7.  Transcription initiation of transfected mouse mammary tumor virus LTR DNA is regulated by glucocorticoid hormones.

Authors:  B Groner; N E Hynes; U Rahmsdorf; H Ponta
Journal:  Nucleic Acids Res       Date:  1983-07-25       Impact factor: 16.971

8.  Glucocorticoid-stimulated accumulation of mouse mammary tumor virus RNA: increased rate of synthesis of viral RNA.

Authors:  G M Ringold; K R Yamamoto; J M Bishop; H E Varmus
Journal:  Proc Natl Acad Sci U S A       Date:  1977-07       Impact factor: 11.205

9.  Steroid induction of mouse mammary tumor virus: effect upon synthesis and degradation of viral RNA.

Authors:  H A Young; T Y Shih; E M Scolnick; W P Parks
Journal:  J Virol       Date:  1977-01       Impact factor: 5.103

10.  Dexamethasone increases the number of RNA polymerase II molecules transcribing integrated mouse mammary tumor virus DNA and flanking mouse sequences.

Authors:  J M Firzlaff; H Diggelmann
Journal:  Mol Cell Biol       Date:  1984-06       Impact factor: 4.272

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  66 in total

1.  Coexamination of site-specific transcription factor binding and promoter activity in living cells.

Authors:  K E Boyd; P J Farnham
Journal:  Mol Cell Biol       Date:  1999-12       Impact factor: 4.272

2.  Enhancement of beta-globin locus control region-mediated transactivation by mitogen-activated protein kinases through stochastic and graded mechanisms.

Authors:  E C Forsberg; T N Zaboikina; W K Versaw; N G Ahn; E H Bresnick
Journal:  Mol Cell Biol       Date:  1999-08       Impact factor: 4.272

3.  Enhancer-dependent transcriptional oscillations in mouse erythroleukemia cells.

Authors:  Y Q Feng; R Alami; E E Bouhassira
Journal:  Mol Cell Biol       Date:  1999-07       Impact factor: 4.272

4.  Analysis of promoter binding by the E2F and pRB families in vivo: distinct E2F proteins mediate activation and repression.

Authors:  Y Takahashi; J B Rayman; B D Dynlacht
Journal:  Genes Dev       Date:  2000-04-01       Impact factor: 11.361

5.  Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations.

Authors:  T B Kepler; T C Elston
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

6.  Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion.

Authors:  A Becskei; B Séraphin; L Serrano
Journal:  EMBO J       Date:  2001-05-15       Impact factor: 11.598

7.  Sp1 and chromatin environment are important contributors to the formation of repressive chromatin structures on the transfected human adenine nucleotide translocase-2 promoter.

Authors:  Z Hodny; R Li; P Barath; B D Nelson
Journal:  Biochem J       Date:  2000-02-15       Impact factor: 3.857

8.  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

Review 9.  Measurement of single-cell dynamics.

Authors:  David G Spiller; Christopher D Wood; David A Rand; Michael R H White
Journal:  Nature       Date:  2010-06-10       Impact factor: 49.962

Review 10.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

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