Jump to main content
Jump to site search


Systematic comparison of the response properties of protein and RNA mediated gene regulatory motifs

Author affiliations

Abstract

We present a framework enabling the dissection of the effects of motif structure (feedback or feedforward), the nature of the controller (RNA or protein), and the regulation mode (transcriptional, post-transcriptional or translational) on the response to a step change in the input. We have used a common model framework for gene expression where both motif structures have an activating input and repressing regulator, with the same set of parameters, to enable a comparison of the responses. We studied the global sensitivity of the system properties, such as steady-state gain, overshoot, peak time, and peak duration, to parameters. We find that, in all motifs, overshoot correlated negatively whereas peak duration varied concavely with peak time. Differences in the other system properties were found to be mainly dependent on the nature of the controller rather than the motif structure. Protein mediated motifs showed a higher degree of adaptation i.e. a tendency to return to baseline levels; in particular, feedforward motifs exhibited perfect adaptation. RNA mediated motifs had a mild regulatory effect; they also exhibited a lower peaking tendency and mean overshoot. Protein mediated feedforward motifs showed higher overshoot and lower peak time compared to the corresponding feedback motifs.

Graphical abstract: Systematic comparison of the response properties of protein and RNA mediated gene regulatory motifs

Back to tab navigation
Please wait while Download options loads

Supplementary files

Publication details

The article was received on 30 Nov 2016, accepted on 24 Mar 2017 and first published on 30 Mar 2017


Article type: Paper
DOI: 10.1039/C6MB00808A
Citation: Mol. BioSyst., 2017, Advance Article
  •   Request permissions

    Systematic comparison of the response properties of protein and RNA mediated gene regulatory motifs

    B. R. Iyengar, B. Pillai, K. V. Venkatesh and C. J. Gadgil, Mol. BioSyst., 2017, Advance Article , DOI: 10.1039/C6MB00808A

Search articles by author