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The emergence of complex structural organisation in skeletal muscle

Lead Research Organisation: University of Warwick
Department Name: Warwick Medical School

Abstract

During development, an organism goes from a single fertilised cell through to an adult with multiple organs. These organs are precisely shaped and the internal cellular structure tightly defined to ensure efficient function. For example, the lungs generate a large-scale branching network to enable rapid oxygen transport into the bloodstream. In the skeletal muscle, muscle cells form elongated, and typically multinucleated, fibres that enable the generation of significant force. How complex organ shape emerges during development has been a long standing question in biology, going back to before even D'Arcy Thompson. Yet, understanding the underlying processes has long proven challenging, partially due to the difficulty of imaging the cellular processes at appropriate spatial and temporal resolution.

Recent years have seen three major advances that are helping us to tackle this challenge. First, biophysical models have proven to be very powerful in describing the structural changes in the material properties of biological materials. Developing tissues can undergo transitions, such as between fluid-like (i.e. rapid cell rearrangements) and solid-like (i.e. rigid internal structure). Second, imaging advances mean we can record with subcellular resolution the dynamics of cell morphogenesis in living embryos. Third, there have been major steps forward in our ability to segment and quantify complex biological imaging data using machine learning and more traditional approaches. Analysis of muscle fibre formation is especially challenging due to the speed with which the cell structure changes, including cell fusion. By combining these advances with the powerful genetics and optical accessibility of the zebrafish embryo, here we aim to dissect how the internal structural organisation of skeletal muscle emerges.

Through the following Aims, we explore if the developing skeletal muscle undergoes a material change in its properties and how cellular processes drive cell and tissue shaping:
1) Provide the first dissection of the dynamics for every cell within an internal vertebrate organ as they reach their final position and morphology.
2) Uncover the mechanisms happening within the cells that drive cell and nucleus reshaping and positioning.
3) Use suitable mutants to perturb the cellular environment to test our models of cell and tissue shaping.
In Aim 1, we will develop imaging and image analysis techniques to allow us to access the cellular behaviour throughout initial skeletal muscle development. We will track the position and morphology of every cell within each selected future muscle segment as they go from round cells through to the highly elongated and tightly structured muscle. The quantitative data is a key input into our analysis of the tissue structural order, to test if there are hallmarks of transitions in the material properties.

In Aim 2, we dissect some of the subcellular mechanisms driving the changes in cell and tissue shape. We focus on microtubules due to their importance in a range of cellular processes associated with muscle formation. We will utilise lattice light-sheet microscopy - which enables very fast imaging at high spatial resolution - to record the dynamics of microtubules and their associated motor proteins during skeletal muscle formation. We will combine this with suitable drug and light-tuneable perturbations to dissect the role of microtubules in guiding muscle morphogenesis.

In Aim 3, we utilise a range of mutants to further explore the mechanisms driving tissue organisation. We focus on perturbing muscle cell fate specification and inhibiting muscle fusion. These perturbations allow us to access the role of both biochemical and biomechanical inputs in driving skeletal muscle formation.

Around 40% of human body mass is skeletal muscle. Using zebrafish development. we will dissect the fundamental mechanisms ensuring this tissue is precisely structured.

Technical Summary

How does the complex internal structure of an organ form? Biophysical modelling of active systems suggests that structural phase transitions may play an important role in generating robust tissue structure. Here, I take advantage of my lab's expertise in imaging and image analysis of zebrafish embryo development to explore whether the forming skeletal muscle undergoes a structural material transition during its formation.

We will take a multi-scale approach. At the cell scale, we will track and quantify the 3D morphology of every cell within the developing muscle segment (myotome). This will provide a unique data set that will describe how the cellular organisation of the myotome emerges. We will utilise machine learning methods in conjunction with more classical approaches (e.g. adaptive watersheds) to build an image analysis pipeline that can handle the rapidly changing morphology and fusion of muscle fibres. We will then use such data in conjunction with approaches from topology to assess the material structural properties.

At the subcellular level we focus on the role of microtubules, motivated by their role in cell elongation and nucleus positioning during muscle formation - these processes appear to be important in regulating the cellular structural organisation. We will perform detailed live imaging of microtubules in conjunction with controlled drug perturbations. To explore the spatio-temporal dynamics more closely, we further plan to optimise light-activatable approaches to perturb microtubule function.

Finally, we will use mutants of cell fate and cell fusion to explore how defects at the cellular and tissue scale alter the myotome structural organisation. Zebrafish mutants are readily available, making quantitative analysis feasible. In summary, this represents an exciting opportunity to unravel how the collective behaviour of cells drives the robust formation of internal organ structure.
 
Description Joint meeting between Warwick and Cambridge Universities on Quantitative Methods in Developmental Biology
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
Impact We had a focus on quantitative methods, such as machine learning approaches to image analysis. This 2-day meeting supported students and post-docs from biology to develop their skills in computer analysis and imaging.
URL https://warwick.ac.uk/fac/sci/med/news/eventscal/warwick-cambridge_quantitative_cell/
 
Description Physics of Life roadmap
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description UCL-Warwick joint meeting
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://warwick.ac.uk/fac/sci/med/news/eventsandopendays/tms-mtt/
 
Description Warwick A*STAR Research Attachment Programme (ARAP)
Amount £100,000 (GBP)
Organisation University of Warwick 
Sector Academic/University
Country United Kingdom
Start 09/2022 
End 09/2025
 
Title CellMet: Extracting 3D shape metrics from cells and tissues 
Description During development and tissue repair, cells reshape and reconfigure to ensure organs take specific shapes. This process is inherently three-dimensional (3D). Yet, in part due to limitations in imaging and data analysis, cell shape analysis within tissues have been studied as a two-dimensional (2D) approximation, e.g., the Drosophila wing disc. With recent advances in imaging and machine learning, there has been significant progress in our understanding of 3D cell and tissue shape in vivo. However, even after gaining 3D segmentation of cells, it remains challenging to extract cell shape metrics beyond volume and surface area for cells within densely packed tissues. In order to extract 3D shape metrics, we have developed CellMet. This user-friendly tool enables extraction of quantitative shape information from 3D cell and tissue segmentation. It is developed for extracting cell scale information from densely packed tissues, such as cell face properties, cell twist, and cell rearrangements. Our method will improve the analysis of 3D cell shape and the understanding of cell organisation within tissues. Our tool is open source, available at https://github.com/TimSaundersLab/CellMet. 
Type Of Material Technology assay or reagent 
Year Produced 2024 
Provided To Others? Yes  
Impact We have already had numerous labs download the software and use on their data. It has received positive reviews at PLoS Computational Biology and we hope for full acceptance by June 2025. 
URL https://github.com/TimSaundersLab/CellMet
 
Title in toto maps of the developing zebrafish muscle 
Description We have completed tracking of over 450 fusion events in 10 muscle segments. This data is available to anyone who asks 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This is the first complete map of the formation of a segment of skeletal muscle from undifferentiated cells through to the generation of the first multinucleated, elongated muscle fibres. 
 
Description Early muscle formation 
Organisation King's College London
Department Randall Division of Cell & Molecular Biophysics
Country United Kingdom 
Sector Academic/University 
PI Contribution Collaborating with Prof Simon Hughes to explore how skeletal muscle is formed
Collaborator Contribution Hosting my post-doc (Dr Narayanan) for experiments that utilise fish in the Hughes lab.
Impact Two papers are in preparation
Start Year 2023
 
Description Topological approaches to structural ordering 
Organisation Massachusetts Institute of Technology
Country United States 
Sector Academic/University 
PI Contribution The laboratory of Jorn Dunkel at MIT is providing advanced tools for exploring the topological arrangement of biological tissues.
Collaborator Contribution They provide code and analyse data for us. Further, they help with interpretation of the data.
Impact The project has only just beyond, so we are yet to have any clearly defined outputs. We are working towards a paper on the topological organisation of the skeletal muscle in zebrafish.
Start Year 2022
 
Title CellMet: Extracting 3D shape metrics from cells and tissues 
Description During development and tissue repair, cells reshape and reconfigure to ensure organs take specific shapes. This process is inherently three-dimensional (3D). Yet, in part due to limitations in imaging and data analysis, cell shape analysis within tissues have been studied as a two-dimensional (2D) approximation, e.g., the Drosophila wing disc. With recent advances in imaging and machine learning, there has been significant progress in our understanding of 3D cell and tissue shape in vivo. However, even after gaining 3D segmentation of cells, it remains challenging to extract cell shape metrics beyond volume and surface area for cells within densely packed tissues. In order to extract 3D shape metrics, we have developed CellMet. This user-friendly tool enables extraction of quantitative shape information from 3D cell and tissue segmentation. It is developed for extracting cell scale information from densely packed tissues, such as cell face properties, cell twist, and cell rearrangements. Our method will improve the analysis of 3D cell shape and the understanding of cell organisation within tissues. Our tool is open source, available at https://github.com/TimSaundersLab/CellMet. 
Type Of Technology Software 
Year Produced 2024 
Impact Multiple groups are already using the software to analyse their data. We hope that it will soon be accepted at PLoS Computational Biology after initially positive reviews. 
URL https://www.biorxiv.org/content/10.1101/2024.10.11.617843v1
 
Description British Biology Olympiad 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Schools
Results and Impact My lab is now part of the team that helps run the British Biology Olympiad selection and training. This involves selecting the final team from 16 finalists. We then support in training the students for the International Biology Olympiad.
Year(s) Of Engagement Activity 2025
URL https://ukbiologycompetitions.org/british-biology-olympiad/