4.8 Article

Single-cell NF-κB dynamics reveal digital activation and analogue information processing

期刊

NATURE
卷 466, 期 7303, 页码 267-U149

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NATURE PUBLISHING GROUP
DOI: 10.1038/nature09145

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资金

  1. NIH
  2. NCI [K99CA125994]
  3. Foundation for Polish Science [TEAM 2009-3/6]
  4. NSF/NIH [R01-GM086885]
  5. Stanford Graduate Fellowship
  6. Stanford Bio-X Graduate Fellowship

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Cells operate in dynamic environments using extraordinary communication capabilities that emerge from the interactions of genetic circuitry. The mammalian immune response is a striking example of the coordination of different cell types(1). Cell-to-cell communication is primarily mediated by signalling molecules that form spatiotemporal concentration gradients, requiring cells to respond to a wide range of signal intensities(2). Here we use high-throughput microfluidic cell culture(3) and fluorescence microscopy, quantitative gene expression analysis and mathematical modelling to investigate how single mammalian cells respond to different concentrations of the signalling molecule tumour-necrosis factor (TNF)-alpha, and relay information to the gene expression programs by means of the transcription factor nuclear factor (NF)-kappa B. We measured NF-kappa B activity in thousands of live cells under TNF-alpha doses covering four orders of magnitude. We find, in contrast to population-level studies with bulk assays(2), that the activation is heterogeneous and is a digital process at the single-cell level with fewer cells responding at lower doses. Cells also encode a subtle set of analogue parameters to modulate the outcome; these parameters include NF-kappa B peak intensity, response time and number of oscillations. We developed a stochastic mathematical model that reproduces both the digital and analogue dynamics as well as most gene expression profiles at all measured conditions, constituting a broadly applicable model for TNF-alpha-induced NF-kappa B signalling in various types of cells. These results highlight the value of high-throughput quantitative measurements with single-cell resolution in understanding how biological systems operate.

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