Literature DB >> 19804729

Power-laws in interferon-B mRNA distribution in virus-infected dendritic cells.

J Hu1, S Iyer-Biswas, S C Sealfon, J Wetmur, C Jayaprakash, F Hayot.   

Abstract

Interferon-beta (IFNB1) mRNA shows very large cell-to-cell variability in primary human dendritic cells infected by Newcastle disease virus, with copy numbers varying from a few to several thousands. Analysis of data from the direct measurement of the expression of this gene in its natural chromatin environment in primary human cells shows that the distribution of mRNA across cells follows a power law with an exponent close to -1, and thus encompasses a range of variation much more extensive than a Gaussian. We also investigate the single cell levels of IFNB1 mRNA induced by infection with Texas influenza A mutant viruses, which vary in their capacity to inhibit the signaling pathways responsible for activation of this gene. Here as well we observe power-law behavior for the distribution of IFNB1 mRNA, albeit over a truncated range of values, with exponents similar to the one for cells infected by Newcastle disease virus. We propose a model of stochastic enhanceosome and preinitiation complex formation that incorporates transcriptional pulsing. Analytical and numerical results show good agreement with the observed power laws, and thus support the existence of transcriptional pulsing of an unmodified, intact gene regulated by a natural stimulus.

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Year:  2009        PMID: 19804729      PMCID: PMC2756378          DOI: 10.1016/j.bpj.2009.05.067

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  24 in total

1.  Ordered recruitment of chromatin modifying and general transcription factors to the IFN-beta promoter.

Authors:  T Agalioti; S Lomvardas; B Parekh; J Yie; T Maniatis; D Thanos
Journal:  Cell       Date:  2000-11-10       Impact factor: 41.582

2.  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

3.  Regulated cell-to-cell variation in a cell-fate decision system.

Authors:  Alejandro Colman-Lerner; Andrew Gordon; Eduard Serra; Tina Chin; Orna Resnekov; Drew Endy; C Gustavo Pesce; Roger Brent
Journal:  Nature       Date:  2005-09-18       Impact factor: 49.962

4.  Contributions of low molecule number and chromosomal positioning to stochastic gene expression.

Authors:  Attila Becskei; Benjamin B Kaufmann; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2005-08-07       Impact factor: 38.330

Review 5.  Innate immune recognition of viral infection.

Authors:  Taro Kawai; Shizuo Akira
Journal:  Nat Immunol       Date:  2006-02       Impact factor: 25.606

6.  Stochasticity of gene products from transcriptional pulsing.

Authors:  Srividya Iyer-Biswas; F Hayot; C Jayaprakash
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-03-23

7.  Virus Infection Induces NF-kappaB-dependent interchromosomal associations mediating monoallelic IFN-beta gene expression.

Authors:  Effie Apostolou; Dimitris Thanos
Journal:  Cell       Date:  2008-07-11       Impact factor: 41.582

8.  RIG-I-mediated antiviral responses to single-stranded RNA bearing 5'-phosphates.

Authors:  Andreas Pichlmair; Oliver Schulz; Choon Ping Tan; Tanja I Näslund; Peter Liljeström; Friedemann Weber; Caetano Reis e Sousa
Journal:  Science       Date:  2006-10-12       Impact factor: 47.728

9.  Coordination of a transcriptional switch by HMGI(Y) acetylation.

Authors:  N Munshi; T Agalioti; S Lomvardas; M Merika; G Chen; D Thanos
Journal:  Science       Date:  2001-08-10       Impact factor: 47.728

10.  Newcastle disease virus V protein is a determinant of host range restriction.

Authors:  Man-Seong Park; Adolfo García-Sastre; Jerome F Cros; Christopher F Basler; Peter Palese
Journal:  J Virol       Date:  2003-09       Impact factor: 5.103

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  7 in total

1.  Simulations of stochastic biological phenomena.

Authors:  Fernand Hayot
Journal:  Sci Signal       Date:  2011-09-20       Impact factor: 8.192

Review 2.  Computational approaches to understanding dendritic cell responses to influenza virus infection.

Authors:  Elena Zaslavsky; Fernand Hayot; Stuart C Sealfon
Journal:  Immunol Res       Date:  2012-12       Impact factor: 2.829

3.  Role of cell-to-cell variability in activating a positive feedback antiviral response in human dendritic cells.

Authors:  Jianzhong Hu; German Nudelman; Yishai Shimoni; Madhu Kumar; Yaomei Ding; Carolina López; Fernand Hayot; James G Wetmur; Stuart C Sealfon
Journal:  PLoS One       Date:  2011-02-08       Impact factor: 3.240

4.  Coregulation mapping based on individual phenotypic variation in response to virus infection.

Authors:  German Nudelman; Yongchao Ge; Jianzhong Hu; Madhu Kumar; Jeremy Seto; Jamie L Duke; Steven H Kleinstein; Fernand Hayot; Stuart C Sealfon; James G Wetmur
Journal:  Immunome Res       Date:  2010-03-18

5.  Multi-scale stochastic simulation of diffusion-coupled agents and its application to cell culture simulation.

Authors:  Yishai Shimoni; German Nudelman; Fernand Hayot; Stuart C Sealfon
Journal:  PLoS One       Date:  2011-12-21       Impact factor: 3.240

6.  Demonstration of all-or-none loss of imprinting in mRNA expression in single cells.

Authors:  Andreas I Diplas; Jianzhong Hu; Men-Jean Lee; Yula Y Ma; Yin L Lee; Luca Lambertini; Jia Chen; James G Wetmur
Journal:  Nucleic Acids Res       Date:  2009-11       Impact factor: 16.971

7.  Noise propagation through extracellular signaling leads to fluctuations in gene expression.

Authors:  Omar P Tabbaa; German Nudelman; Stuart C Sealfon; Fernand Hayot; Ciriyam Jayaprakash
Journal:  BMC Syst Biol       Date:  2013-09-25
  7 in total

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