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Updated: May 13, 2026

One-channel Cell-attached Patch-clamp Recording
Published on: June 9, 2014
Single-cell NF-kappaB dynamics reveal digital activation and analogue information processing
Savaş Tay1, Jacob J Hughey, Timothy K Lee
1Department of Bioengineering, Stanford University, Stanford, California 94305, USA.
Single mammalian cells exhibit a digital response to tumor necrosis factor-alpha (TNF-alpha) signaling, with fewer cells responding at lower doses. This response also involves analog parameters like peak intensity and timing, revealing complex cellular communication dynamics.
Area of Science:
- Cellular Biology
- Immunology
- Systems Biology
Background:
- Cell-to-cell communication is vital for multicellular organisms, particularly in the mammalian immune response.
- Cells must interpret diverse signaling molecule concentrations, forming spatiotemporal gradients.
- Tumor necrosis factor-alpha (TNF-alpha) is a key signaling molecule in cellular communication.
Purpose of the Study:
- To investigate single mammalian cell responses to varying TNF-alpha concentrations.
- To understand how cells relay information via nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kappaB) signaling.
- To characterize the digital and analog aspects of NF-kappaB activation at the single-cell level.
Main Methods:
- High-throughput microfluidic cell culture and fluorescence microscopy.
- Quantitative gene expression analysis.
- Stochastic mathematical modeling of NF-kappaB signaling dynamics.
Main Results:
- NF-kappaB activation exhibits single-cell heterogeneity, acting as a digital process with dose-dependent cell activation.
- Cells encode analog parameters, including NF-kappaB peak intensity, response time, and oscillation number.
- A stochastic model accurately reproduced observed digital and analog dynamics across various conditions.
Conclusions:
- Single-cell resolution reveals a digital nature of TNF-alpha-induced NF-kappaB signaling, challenging population-level observations.
- Analog parameters fine-tune cellular responses, adding complexity to signal interpretation.
- The developed model offers a broadly applicable framework for understanding TNF-alpha signaling in diverse cell types.
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