Theoretical framework helps understanding complex morphologic events in developing neurons

Credit: Pixabay/CC0 Public Domain

Understanding how the complex geometry of branching tissues takes shape during embryonic development or the growth of any organisms has long been a fascinating subject. Neuroscientists at Karolinska Institutet, together with theoretical physicists from IST-Austria, have now combined live imaging in a zebrafish model system with analytical theory to uncover a generic design principle to predict 3D axon branching morphogenesis.

When you are a child, and you question the morphological aspects of the plants and trees around you, you can read in textbooks that their branching pattern and density are not obtained randomly. Instead they can be explained through a relatively conserved set of tools which mostly depend on two forces, i.e. the pressure to grow towards the light and the influence of the competition between own branches and with branches from other trees. In animals, branching morphogenesis is also an essential biological process. It affects most aspects of organogenesis; it can occur in as neurons, or a group of cells during angiogenesis or lung formation.

Intrinsic and extrinsic forces

It is already known that branching morphogenesis is guided by both intrinsic mechanisms, including transcription factor expression or cell-to-cell local communications, and environment guidance cues. Here, the researchers combined their expertise and effort to provide a that quantitatively assesses the contribution of both intrinsic and extrinsic forces in shaping the final geometry of branched structures.

"I was motivated to create a mathematical framework for neuron branching and by then identify the contribution of stochasticity and determinism in shaping complex neuronal structures. For this to succeed, I understood that both biologists and theoretical physicists must join forces," says Saida Hadjab, researcher at the Department of Neuroscience, and project initiator and co-lead investigator of the study.

Interplay between parameters

The focus of the study eventually scaled down to the interplay between two simple parameters: Local cues (self-avoidance), as well as global guidance from external cues, which the authors refer to as field strength.

Using developing neurons and their growing dendrite arborization as model, the scientists found that each of these factors can be tuned artificially to create a variety of complex branched arborization that resembles very well sensory axons morphogenesis in vivo. To understand analytically how each parameter impacts the final structure, the derived a continuum Fokker-Planck theory, which allow to identify several generic features in the final branched structures. This was confirming in vivo data of neurons branching in a 3D zebrafish model.

Close collaboration between experimentalists and theorists

"Interestingly, the developed theoretical framework could be applied to any branching structure that forms via tip-driven growth, which frequently occurs, for instance during angiogenesis and where similar questions on external guidance versus local self-organization arise. Also, this study emphasizes the importance of closer collaborations between experimentalists and theorists to integrate expertise and produce practical predictions based on and biological observations," says Dr. Saida Hadjab.

The study has been carried out in collaboration with other researchers at Karolinska Institutet, as well as researchers from the Institute of Science and Technology (IST), Austria.

Explore further

Atypical myosin plays a key role in neuron branching

More information: Mehmet Can U├žar et al, Theory of branching morphogenesis by local interactions and global guidance, Nature Communications (2021). DOI: 10.1038/s41467-021-27135-5
Journal information: Nature Communications

Citation: Theoretical framework helps understanding complex morphologic events in developing neurons (2021, November 26) retrieved 28 January 2022 from
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Feedback to editors