TY - JOUR
T1 - Intracellular Noise Level Determines Ratio Control Strategy Confined by Speed-Accuracy Trade-off
AU - Menn, David
AU - Sochor, Patrick
AU - Goetz, Hanah
AU - Tian, Xiao Jun
AU - Wang, Xiao
N1 - Funding Information: D.M. and H.G. were supported by the Arizona State University Dean’s Fellowship. This study was financially supported by an NIH grant (GM106081) (to X.W.) and the ASU School of Biological and Health Systems Engineering (X.-J.T.). Publisher Copyright: © 2019 American Chemical Society.
PY - 2019/6/21
Y1 - 2019/6/21
N2 - Robust and precise ratio control of heterogeneous phenotypes within an isogenic population is an essential task, especially in the development and differentiation of a large number of cells such as bacteria, sensory receptors, and blood cells. However, the mechanisms of such ratio control are poorly understood. Here, we employ experimental and mathematical techniques to understand the combined effects of signal induction and gene expression stochasticity on phenotypic multimodality. We identify two strategies to control phenotypic ratios from an initially homogeneous population, suitable roughly to high-noise and low-noise intracellular environments, and we show that both can be used to generate precise fractional differentiation. In noisy gene expression contexts, such as those found in bacteria, induction within the circuit's bistable region is enough to cause noise-induced bimodality within a feasible time frame. However, in less noisy contexts, such as tightly controlled eukaryotic systems, spontaneous state transitions are rare and hence bimodality needs to be induced with a controlled pulse of induction that falls outside the bistable region. Finally, we show that noise levels, system response time, and ratio tuning accuracy impose trade-offs and limitations on both ratio control strategies, which guide the selection of strategy alternatives.
AB - Robust and precise ratio control of heterogeneous phenotypes within an isogenic population is an essential task, especially in the development and differentiation of a large number of cells such as bacteria, sensory receptors, and blood cells. However, the mechanisms of such ratio control are poorly understood. Here, we employ experimental and mathematical techniques to understand the combined effects of signal induction and gene expression stochasticity on phenotypic multimodality. We identify two strategies to control phenotypic ratios from an initially homogeneous population, suitable roughly to high-noise and low-noise intracellular environments, and we show that both can be used to generate precise fractional differentiation. In noisy gene expression contexts, such as those found in bacteria, induction within the circuit's bistable region is enough to cause noise-induced bimodality within a feasible time frame. However, in less noisy contexts, such as tightly controlled eukaryotic systems, spontaneous state transitions are rare and hence bimodality needs to be induced with a controlled pulse of induction that falls outside the bistable region. Finally, we show that noise levels, system response time, and ratio tuning accuracy impose trade-offs and limitations on both ratio control strategies, which guide the selection of strategy alternatives.
KW - cell fate
KW - fractional differentiation
KW - ratio tuning
KW - stochasticity
KW - synthetic biology
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U2 - 10.1021/acssynbio.9b00030
DO - 10.1021/acssynbio.9b00030
M3 - Article
C2 - 31083890
SN - 2161-5063
VL - 8
SP - 1352
EP - 1360
JO - ACS Synthetic Biology
JF - ACS Synthetic Biology
IS - 6
ER -