Power-laws in interferon-B mRNA distribution in virus-infected dendritic cells.
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.
Department of Microbiology, Mount Sinai School of Medicine, New York, New York, USA.
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J
Hu
S
S
Iyer-Biswas
S C
SC
Sealfon
J
J
Wetmur
C
C
Jayaprakash
F
F
Hayot
D003713:Dendritic Cells / Q000276:immunology* / Q000378:metabolism / Q000821:virology*; D006801:Humans; D016899:Interferon-beta / Q000235:genetics*; D007700:Kinetics; D008957:Models, Genetic; D009154:Mutation; D009522:Newcastle disease virus / Q000235:genetics / Q000502:physiology; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D013269:Stochastic Processes; D014158:Transcription, Genetic
D012333:RNA, Messenger; D016899:Interferon-beta