2021
DOI: 10.1109/tcbb.2019.2938502
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MicroRNA Based Feedforward Control of Intrinsic Gene Expression Noise

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Cited by 12 publications
(10 citation statements)
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“…The corresponding noise formulas reveal the limits of noise reduction reached by a feedforward circuit as compared to an open-loop circuit in the absence of antiholin. These results are consistent with other computational and experimental studies illustrating the noise-suppression ability of incoherent feedforward circuits [69][70][71][72][73][74] that have primarily focused on noise in protein levels. The novelty of this work stems from considering correlated expression and dimerization of two antagonistic proteins, and quantifying the impact of this interaction on the statistics of event timing.…”
Section: Discussionsupporting
confidence: 90%
“…The corresponding noise formulas reveal the limits of noise reduction reached by a feedforward circuit as compared to an open-loop circuit in the absence of antiholin. These results are consistent with other computational and experimental studies illustrating the noise-suppression ability of incoherent feedforward circuits [69][70][71][72][73][74] that have primarily focused on noise in protein levels. The novelty of this work stems from considering correlated expression and dimerization of two antagonistic proteins, and quantifying the impact of this interaction on the statistics of event timing.…”
Section: Discussionsupporting
confidence: 90%
“…5F). Post-transcriptional regulation has been proposed theoretically as an effective strategy for reducing protein noise [107,98,99,12]. In addition to theoretical studies, suppressed fluctuations of protein expression were experimentally detected for hundreds of microRNA-regulated genes in mouse embryonic stem cells [92].…”
Section: Discussionmentioning
confidence: 99%
“…Physiological and anatomical adaptations are believed to occur due to molecular signalling cascades resulting in “mRNA bursts”, increased transcription of specific target genes and subsequent fine-tuning of the translation into proteins which convey the enhanced phenotype [ 38 , 39 ]. Recent studies suggest that the activation of the translatory machinery (phosphorylation of eukaryotic initiation factor 4E binding protein 1 (4E-BP1) and the 70-kDa ribosomal protein S6 kinase (S6K1)) and ribosomal biogenesis coupled with protein synthesis in response to a bout of resistance exercise are significantly reduced in elderly vs. young men [ 40 , 41 ].…”
Section: Introductionmentioning
confidence: 99%
“…This is in line with the markers of miRNA biogenesis machinery returning to pre-training intervention values despite daily training [ 55 ] and suggests that miRNA stress-response may be a part of adaptive response and muscle memory. Notably, mathematical modelling reveals that mRNA burst trajectory is strongly coupled to microRNA trajectory, promoting effective gene expression with reduced noise [ 39 ]. Based on this evidence we propose a revised model of the molecular basis of adaptation to exercise [ 163 ] ( Figure 3 ).…”
Section: Introductionmentioning
confidence: 99%