Expression variation and covariation impair analog and enable binary signaling control.

TitleExpression variation and covariation impair analog and enable binary signaling control.
Publication TypeJournal Article
Year of Publication2018
AuthorsKovary KM, Taylor B, Zhao ML, Teruel MN
JournalMol Syst Biol
Volume14
Issue5
Paginatione7997
Date Published2018 05 14
ISSN1744-4292
KeywordsAnimals, Cell Differentiation, Cells, Cultured, Computer Simulation, Evaluation Studies as Topic, Extracellular Signal-Regulated MAP Kinases, Female, Gene Expression Regulation, Genetic Variation, Humans, Image Processing, Computer-Assisted, Models, Molecular, Ovum, Proteomics, Signal Transduction, Xenopus laevis
Abstract

Due to noise in the synthesis and degradation of proteins, the concentrations of individual vertebrate signaling proteins were estimated to vary with a coefficient of variation (CV) of approximately 25% between cells. Such high variation is beneficial for population-level regulation of cell functions but abolishes accurate single-cell signal transmission. Here, we measure cell-to-cell variability of relative protein abundance using quantitative proteomics of individual eggs and cultured human cells and show that variation is typically much lower, in the range of 5-15%, compatible with accurate single-cell transmission. Focusing on bimodal ERK signaling, we show that variation and covariation in MEK and ERK expression improves controllability of the percentage of activated cells, demonstrating how variation and covariation in expression enables population-level control of binary cell-fate decisions. Together, our study argues for a control principle whereby low expression variation enables accurate control of analog single-cell signaling, while increased variation, covariation, and numbers of pathway components are required to widen the stimulus range over which external inputs regulate binary cell activation to enable precise control of the fraction of activated cells in a population.

DOI10.15252/msb.20177997
Custom 1

https://www.ncbi.nlm.nih.gov/pubmed/29759982?dopt=Abstract

Alternate JournalMol. Syst. Biol.
PubMed ID29759982
PubMed Central IDPMC5951153
Grant ListP50 GM107615 / GM / NIGMS NIH HHS / United States
R01 DK106241 / DK / NIDDK NIH HHS / United States
S10 OD018073 / OD / NIH HHS / United States
T32 HG000044 / HG / NHGRI NIH HHS / United States
P30 DK116074 / DK / NIDDK NIH HHS / United States
R01 DK101743 / DK / NIDDK NIH HHS / United States
F32 DK114981 / DK / NIDDK NIH HHS / United States

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