Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608393/ https://www.ncbi.nlm.nih.gov/pubmed/26488364 http://dx.doi.org/10.7554/eLife.08931 |
_version_ | 1782395662983233536 |
---|---|
author | Kellogg, Ryan A Tian, Chengzhe Lipniacki, Tomasz Quake, Stephen R Tay, Savaş |
author_facet | Kellogg, Ryan A Tian, Chengzhe Lipniacki, Tomasz Quake, Stephen R Tay, Savaş |
author_sort | Kellogg, Ryan A |
collection | PubMed |
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. DOI: http://dx.doi.org/10.7554/eLife.08931.001 |
format | Online Article Text |
id | pubmed-4608393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46083932015-10-22 Digital signaling decouples activation probability and population heterogeneity Kellogg, Ryan A Tian, Chengzhe Lipniacki, Tomasz Quake, Stephen R Tay, Savaş eLife Computational and Systems Biology 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. DOI: http://dx.doi.org/10.7554/eLife.08931.001 eLife Sciences Publications, Ltd 2015-10-21 /pmc/articles/PMC4608393/ /pubmed/26488364 http://dx.doi.org/10.7554/eLife.08931 Text en © 2015, Kellogg et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Kellogg, Ryan A Tian, Chengzhe Lipniacki, Tomasz Quake, Stephen R Tay, Savaş Digital signaling decouples activation probability and population heterogeneity |
title | 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_short | Digital signaling decouples activation probability and population heterogeneity |
title_sort | digital signaling decouples activation probability and population heterogeneity |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608393/ https://www.ncbi.nlm.nih.gov/pubmed/26488364 http://dx.doi.org/10.7554/eLife.08931 |
work_keys_str_mv | AT kelloggryana digitalsignalingdecouplesactivationprobabilityandpopulationheterogeneity AT tianchengzhe digitalsignalingdecouplesactivationprobabilityandpopulationheterogeneity AT lipniackitomasz digitalsignalingdecouplesactivationprobabilityandpopulationheterogeneity AT quakestephenr digitalsignalingdecouplesactivationprobabilityandpopulationheterogeneity AT taysavas digitalsignalingdecouplesactivationprobabilityandpopulationheterogeneity |