Molecular noise can minimize the collective sensitivity of a clonal heterogeneous cell population. (7th March 2017)
- Record Type:
- Journal Article
- Title:
- Molecular noise can minimize the collective sensitivity of a clonal heterogeneous cell population. (7th March 2017)
- Main Title:
- Molecular noise can minimize the collective sensitivity of a clonal heterogeneous cell population
- Authors:
- Forment, Marzo
Rodrigo, Guillermo - Abstract:
- Abstract: It is now widely accepted that molecular noise, rather than be always detrimental, introduces in many circumstances the required boost to reach fundamental cellular activities or strategies otherwise unattainable. In threshold-like genetic systems, molecular noise serves to generate heterogeneous responses in a clonal population, also in a tissue, due to cell-to-cell variability. Here, we derived a mathematical framework from which we could study in detail this effect. We focused on a minimal decision-making gene circuit implemented as a transcriptional positive-feedback loop. We evidenced that when the individual responses of each cell within the population are averaged, a sort of collective behavior, the resulting dose-response curve is linearized. In other words, the population is less sensitive than the individuals, which otherwise enhances the information transfer from signal to response. We found that the distance to the ideal linear response of the cell population is minimized for a particular noise level, and also characterized the interplay between intrinsic and extrinsic noise. Overall, our results highlight how cells could, by acting as a collective, entangle their genetic systems with their environments by adjusting the intracellular noise levels. Abstract : Highlights: The average dose-response curve of a heterogeneous population can be linearized. There is an optimal balance between intrinsic and extrinsic noise. Cells could entangle their geneticAbstract: It is now widely accepted that molecular noise, rather than be always detrimental, introduces in many circumstances the required boost to reach fundamental cellular activities or strategies otherwise unattainable. In threshold-like genetic systems, molecular noise serves to generate heterogeneous responses in a clonal population, also in a tissue, due to cell-to-cell variability. Here, we derived a mathematical framework from which we could study in detail this effect. We focused on a minimal decision-making gene circuit implemented as a transcriptional positive-feedback loop. We evidenced that when the individual responses of each cell within the population are averaged, a sort of collective behavior, the resulting dose-response curve is linearized. In other words, the population is less sensitive than the individuals, which otherwise enhances the information transfer from signal to response. We found that the distance to the ideal linear response of the cell population is minimized for a particular noise level, and also characterized the interplay between intrinsic and extrinsic noise. Overall, our results highlight how cells could, by acting as a collective, entangle their genetic systems with their environments by adjusting the intracellular noise levels. Abstract : Highlights: The average dose-response curve of a heterogeneous population can be linearized. There is an optimal balance between intrinsic and extrinsic noise. Cells could entangle their genetic systems and environments by noise adjustment. A collective behavior improves the transmission of information. … (more)
- Is Part Of:
- Journal of theoretical biology. Volume 416(2017)
- Journal:
- Journal of theoretical biology
- Issue:
- Volume 416(2017)
- Issue Display:
- Volume 416, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 416
- Issue:
- 2017
- Issue Sort Value:
- 2017-0416-2017-0000
- Page Start:
- 38
- Page End:
- 44
- Publication Date:
- 2017-03-07
- Subjects:
- Gene Regulation -- Response Linearization -- Stochastic Dynamics -- Systems Biology
Biology -- Periodicals
Biological Science Disciplines -- Periodicals
Biology -- Periodicals
Biologie -- Périodiques
Theoretische biologie
Biology
Periodicals
571.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00225193/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jtbi.2016.12.023 ↗
- Languages:
- English
- ISSNs:
- 0022-5193
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5069.075000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 843.xml