2017
DOI: 10.1016/j.jmb.2017.03.007
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Determining the Limitations and Benefits of Noise in Gene Regulation and Signal Transduction through Single Cell, Microscopy-Based Analysis

Abstract: Stochastic fluctuations, termed “noise,” in the level of biological molecules can greatly impact cellular functions. While biological noise can sometimes be detrimental, recent studies have provided an increasing number of examples in which biological noise can be functionally beneficial. Rather than provide an exhaustive review of the growing literature in this field, in this review we focus on single cell studies based on quantitative microscopy that have generated a deeper understanding of the sources, char… Show more

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Cited by 13 publications
(7 citation statements)
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“…Recent developments in time-lapse imaging technologies have provided powerful tools for analyzing single-cell dynamics (Harton and Batchelor, 2017;Levine et al, 2013;Purvis and Lahav, 2013). In this study, we integrated advances in these technologies with stochastic modeling to investigate cellular aging processes and unraveled how isogenic cells undergo distinct age-dependent phenotypic changes and progress through divergent aging trajectories.…”
Section: Introductionmentioning
confidence: 99%
“…Recent developments in time-lapse imaging technologies have provided powerful tools for analyzing single-cell dynamics (Harton and Batchelor, 2017;Levine et al, 2013;Purvis and Lahav, 2013). In this study, we integrated advances in these technologies with stochastic modeling to investigate cellular aging processes and unraveled how isogenic cells undergo distinct age-dependent phenotypic changes and progress through divergent aging trajectories.…”
Section: Introductionmentioning
confidence: 99%
“…First, multiple quantitative features of gene regulation may be important, such as the timing, location and level of transcript production. Second, for each feature we must define the ranges within which variation is tolerated and the ranges for which variation has phenotypic consequences ( Harton and Batchelor, 2017 ). Finally, it may also be crucial to coordinate these features across multiple genes ( Lagha et al, 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…Information theory also provides a theoretical basis to move from phenomenological frameworks of dose-dependent gene responses that assumes continuous and graded control over gene expression levels, to thinking about true information transmission more rigorously. Interestingly, we and others (Billing et al, 2019;Cheong et al, 2011;Dubuis et al, 2013;Grabowski et al, 2019;Hansen and O'Shea, 2015;Harton and Batchelor, 2017;Jetka et al, 2019;Selimkhanov et al, 2014;Tkacik et al, 2009;Tudelska et al, 2017;Uda et al, 2013) have shown that these biological unit processes have relatively low information content of less than 1.5 bits (i.e. ~3 states).…”
Section: Discussionmentioning
confidence: 80%