Abstract

Recent studies have revealed that global extrinsic noise arising from stochasticity in the intracellular biochemical environment plays a critical role in heterogeneous cell physiologies. However, it remains largely unclear how such extrinsic noise dynamically influences downstream reactions and whether it could be neutralized by cellular reactions. Here, using fluorescent protein (FP) maturation as a model biochemical reaction, we explored how cellular reactions might combat global extrinsic noise in mammalian cells. We developed a novel single‐cell assay to systematically quantify the maturation rate and the associated noise for over a dozen FPs. By exploiting the variation in the maturation rate for different FPs, we inferred that global extrinsic noise could be temporally filtered by maturation reactions, and as a result, the noise levels for slow‐maturing FPs are lower compared to fast‐maturing FPs. This mechanism is validated by directly perturbing the maturation rates of specific FPs and measuring the resulting noise levels. Together, our results revealed a potentially general principle governing extrinsic noise propagation, where timescale separation allows cellular reactions to cope with dynamic global extrinsic noise.

Highlights

  • Stochastic fluctuations or noise are inevitable for reactions occurring inside the cell (McAdams & Arkin, 1997; Elowitz et al, 2002; Paulsson, 2004; Raser & O’Shea, 2005; Raj & van Oudenaarden, 2008; Eldar & Elowitz, 2010)

  • A rationally designed assay for quantifying fluorescent protein (FP) maturation rate in individual mammalian cells

  • The process of FP chromophore maturation involves multiple chemical reaction steps and is typically described as a single firstorder reaction, whose rate constant determines the timescale of the maturation reaction (Reid & Flynn, 1997; Zhang et al, 2006; Iizuka et al, 2011)

Read more

Summary

Introduction

Stochastic fluctuations or noise are inevitable for reactions occurring inside the cell (McAdams & Arkin, 1997; Elowitz et al, 2002; Paulsson, 2004; Raser & O’Shea, 2005; Raj & van Oudenaarden, 2008; Eldar & Elowitz, 2010). A key reason is that for some cellular reactions (Fig 1A), the molecular species involved often have low copy numbers and are subject to random birth and death processes, leading to Poisson-like fluctuations (Swain et al, 2002; Paulsson, 2004). This source of noise represents a type of noise that is intrinsic to the reaction of interest and can propagate in biological networks (Fig 1B, left). Both intrinsic and extrinsic noises have been characterized in many biological processes, especially in gene regulation, and can play important roles in phenotypic heterogeneities at the cellular or the organismal level (Raser & O’Shea, 2005; Raj & van Oudenaarden, 2008; Eldar & Elowitz, 2010)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call