Digital signaling decouples activation probability and population heterogeneity

Digital signaling enhances robustness of cellular decisions in noisy environments, but it is unclear how digital systems transmit temporal information about a stimulus. To understand how temporal input information is encoded and decoded by the NF-κB system, we studied transcription factor dynamics a...

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Main Authors: Ryan A Kellogg, Chengzhe Tian, Tomasz Lipniacki, Stephen R Quake, Savaş Tay
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2015-10-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/08931
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spelling doaj-e05fff56b8d84cbb862e3ed4b5e5e18f2021-05-05T00:04:43ZengeLife Sciences Publications LtdeLife2050-084X2015-10-01410.7554/eLife.08931Digital signaling decouples activation probability and population heterogeneityRyan A Kellogg0https://orcid.org/0000-0002-5591-9466Chengzhe Tian1https://orcid.org/0000-0002-2269-1979Tomasz Lipniacki2Stephen R Quake3Savaş Tay4Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zürich, Basel, SwitzerlandNiels Bohr Institute, University of Copenhagen, Copenhagen, DenmarkInstitute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, PolandDepartment of Bioengineering, Howard Hughes Medical Institute, Stanford University, Stanford, United StatesDepartment of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zürich, Basel, Switzerland; Institute for Molecular Engineering, University of Chicago, Chicago, United StatesDigital signaling enhances robustness of cellular decisions in noisy environments, but it is unclear how digital systems transmit temporal information about a stimulus. To understand how temporal input information is encoded and decoded by the NF-κB system, we studied transcription factor dynamics and gene regulation under dose- and duration-modulated inflammatory inputs. Mathematical modeling predicted and microfluidic single-cell experiments confirmed that integral of the stimulus (or area, concentration × duration) controls the fraction of cells that activate NF-κB in the population. However, stimulus temporal profile determined NF-κB dynamics, cell-to-cell variability, and gene expression phenotype. A sustained, weak stimulation lead to heterogeneous activation and delayed timing that is transmitted to gene expression. In contrast, a transient, strong stimulus with the same area caused rapid and uniform dynamics. These results show that digital NF-κB signaling enables multidimensional control of cellular phenotype via input profile, allowing parallel and independent control of single-cell activation probability and population heterogeneity.https://elifesciences.org/articles/08931digital signalingsingle-cell analysissignaling dynamicscell-to-cell heterogeneitysystems biologyinnate immunity
collection DOAJ
language English
format Article
sources DOAJ
author Ryan A Kellogg
Chengzhe Tian
Tomasz Lipniacki
Stephen R Quake
Savaş Tay
spellingShingle Ryan A Kellogg
Chengzhe Tian
Tomasz Lipniacki
Stephen R Quake
Savaş Tay
Digital signaling decouples activation probability and population heterogeneity
eLife
digital signaling
single-cell analysis
signaling dynamics
cell-to-cell heterogeneity
systems biology
innate immunity
author_facet Ryan A Kellogg
Chengzhe Tian
Tomasz Lipniacki
Stephen R Quake
Savaş Tay
author_sort Ryan A Kellogg
title Digital signaling decouples activation probability and population heterogeneity
title_short Digital signaling decouples activation probability and population heterogeneity
title_full Digital signaling decouples activation probability and population heterogeneity
title_fullStr Digital signaling decouples activation probability and population heterogeneity
title_full_unstemmed Digital signaling decouples activation probability and population heterogeneity
title_sort digital signaling decouples activation probability and population heterogeneity
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2015-10-01
description Digital signaling enhances robustness of cellular decisions in noisy environments, but it is unclear how digital systems transmit temporal information about a stimulus. To understand how temporal input information is encoded and decoded by the NF-κB system, we studied transcription factor dynamics and gene regulation under dose- and duration-modulated inflammatory inputs. Mathematical modeling predicted and microfluidic single-cell experiments confirmed that integral of the stimulus (or area, concentration × duration) controls the fraction of cells that activate NF-κB in the population. However, stimulus temporal profile determined NF-κB dynamics, cell-to-cell variability, and gene expression phenotype. A sustained, weak stimulation lead to heterogeneous activation and delayed timing that is transmitted to gene expression. In contrast, a transient, strong stimulus with the same area caused rapid and uniform dynamics. These results show that digital NF-κB signaling enables multidimensional control of cellular phenotype via input profile, allowing parallel and independent control of single-cell activation probability and population heterogeneity.
topic digital signaling
single-cell analysis
signaling dynamics
cell-to-cell heterogeneity
systems biology
innate immunity
url https://elifesciences.org/articles/08931
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AT stephenrquake digitalsignalingdecouplesactivationprobabilityandpopulationheterogeneity
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