Literature DB >> 28288800

Determining the Limitations and Benefits of Noise in Gene Regulation and Signal Transduction through Single Cell, Microscopy-Based Analysis.

Marie D Harton1, Eric Batchelor2.   

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, characteristics, limitations, and benefits of biological noise. Specifically, we highlight studies showing how noise can help coordinate the expression of multiple downstream target genes, impact the channel capacity of signaling networks, and interact synergistically with oscillatory dynamics to enhance the sensitivity of signal processing. We conclude with a discussion of current challenges and future opportunities. Published by Elsevier Ltd.

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Year:  2017        PMID: 28288800      PMCID: PMC5402475          DOI: 10.1016/j.jmb.2017.03.007

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  96 in total

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  5 in total

1.  Divergent Aging of Isogenic Yeast Cells Revealed through Single-Cell Phenotypic Dynamics.

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Journal:  Cell Syst       Date:  2019-03-06       Impact factor: 10.304

2.  Mapping the dynamic transfer functions of eukaryotic gene regulation.

Authors:  Jessica B Lee; Leandra M Caywood; Jennifer Y Lo; Nicholas Levering; Albert J Keung
Journal:  Cell Syst       Date:  2021-08-31       Impact factor: 10.304

Review 3.  Transcriptional precision and accuracy in development: from measurements to models and mechanisms.

Authors:  Lital Bentovim; Timothy T Harden; Angela H DePace
Journal:  Development       Date:  2017-11-01       Impact factor: 6.868

4.  Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability.

Authors:  Vardges Tserunyan; Stacey D Finley
Journal:  R Soc Open Sci       Date:  2022-08-24       Impact factor: 3.653

5.  Poikilosis - pervasive biological variation.

Authors:  Mauno Vihinen
Journal:  F1000Res       Date:  2020-06-12
  5 in total

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