pith. sign in

arxiv: 0904.1637 · v1 · submitted 2009-04-10 · 🧬 q-bio.MN · cond-mat.soft· cond-mat.stat-mech· physics.bio-ph· q-bio.CB

Morphogen Profiles Can Be Optimised to Buffer Against Noise

classification 🧬 q-bio.MN cond-mat.softcond-mat.stat-mechphysics.bio-phq-bio.CB
keywords morphogenpreciseprofilesalgebraicexponentialfluctuationsinformationnoise
0
0 comments X
read the original 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 classes of morphogen profiles (linear, exponential, 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 optimised to generate maximally precise positional information.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.