Literature DB >> 19905337

Morphogen profiles can be optimized to buffer against noise.

Timothy E Saunders1, Martin Howard.   

Abstract

Morphogen profiles play a vital role in biology by specifying position in embryonic development. However, the factors that influence the shape of a morphogen profile remain poorly understood. Since morphogens should provide precise positional information, one significant factor is the robustness of the profile to noise. We compare three experimentally relevant classes of morphogen profiles (linear, exponential, and algebraic) to see which is most precise when subject to both external embryo-to-embryo fluctuations and internal fluctuations due to intrinsically random processes such as diffusion. We find that both the kinetic parameters and the overall gradient shape (e.g., exponential versus algebraic) can be optimized to generate maximally precise positional information.

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Year:  2009        PMID: 19905337     DOI: 10.1103/PhysRevE.80.041902

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  14 in total

1.  Stochastic branching-diffusion models for gene expression.

Authors:  David Cottrell; Peter S Swain; Paul F Tupper
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-01       Impact factor: 11.205

2.  Shaping a morphogen gradient for positional precision.

Authors:  Feng He; Timothy E Saunders; Ying Wen; David Cheung; Renjie Jiao; Pieter Rein ten Wolde; Martin Howard; Jun Ma
Journal:  Biophys J       Date:  2010-08-04       Impact factor: 4.033

3.  Multiscale modeling of diffusion in the early Drosophila embryo.

Authors:  Christine Sample; Stanislav Y Shvartsman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

4.  Evaluating the Drosophila Bicoid morphogen gradient system through dissecting the noise in transcriptional bursts.

Authors:  Feng He; Jie Ren; Wei Wang; Jun Ma
Journal:  Bioinformatics       Date:  2012-02-02       Impact factor: 6.937

5.  Precision of sensing cell length via concentration gradients.

Authors:  Filipe Tostevin
Journal:  Biophys J       Date:  2011-01-19       Impact factor: 4.033

6.  Spatiotemporal analysis of different mechanisms for interpreting morphogen gradients.

Authors:  David M Richards; Timothy E Saunders
Journal:  Biophys J       Date:  2015-04-21       Impact factor: 4.033

7.  Robust and precise morphogen-mediated patterning: trade-offs, constraints and mechanisms.

Authors:  Wing-Cheong Lo; Shaohua Zhou; Frederic Y-M Wan; Arthur D Lander; Qing Nie
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

8.  Coupling intercellular molecular signalling with multicellular deformation for simulating three-dimensional tissue morphogenesis.

Authors:  Satoru Okuda; Yasuhiro Inoue; Tadashi Watanabe; Taiji Adachi
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

9.  Noise reduction in the intracellular pom1p gradient by a dynamic clustering mechanism.

Authors:  Timothy E Saunders; Kally Z Pan; Andrew Angel; Yinghua Guan; Jagesh V Shah; Martin Howard; Fred Chang
Journal:  Dev Cell       Date:  2012-02-16       Impact factor: 12.270

10.  Finite cell-size effects on protein variability in Turing patterned tissues.

Authors:  Javier Buceta
Journal:  J R Soc Interface       Date:  2017-08       Impact factor: 4.118

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