Close

Cell Rearrangement Generates Pattern Emergence as a Function of Temporal Morphogen Exposure

Timothy Fulton, Kay Spiess, Lewis Thomson, Yuxuan Wang, Bethan Clark, Seongwon Hwang, Brooks Paige, Berta Verd, Benjamin Steventon

Posted on: 9 May 2022

Preprint posted on 7 April 2022

What does it take to study patterning in a tissue as it grows? “Live modeling” combines cell tracking, quantitative imaging and mathematical modeling to give insight into how cell movements tune morphogen exposure.

Selected by Andrew Montequin

Categories: developmental biology

Background

As a single fertilized egg cell develops into an adult organism, chemical morphogen signals and mechanical rearrangements of cells must be precisely coordinated to ensure a properly formed body plan. The tailbud of a zebrafish embryo provides an excellent system to study how these two components are coordinated to pattern a developing organism. In zebrafish, as in all vertebrates, the embryo elongates during the process of somitogenesis when the body plan is segmented along the Anterior-Posterior axis (Henrique et al., 2015). To support this growth and concurrent fate specification, progenitor cells in the mesoderm must balance self-renewal with differentiation.

Previous research into this balance of self-renewal and differentiation in the zebrafish tailbud has revealed that graded signals of Wnt and FGF relate to a switch in T-box gene expression, from tbx16 in the progenitor state found in the posterior to tbx6 in the differentiated presomitic mesoderm (PSM) state found in the anterior (Nikaido et al., 2002; Warga et al., 2013). Further, progenitor cells in the posterior are known to undergo extensive cell rearrangements and mixing, while cells in the posterior exist in a more “solid” like state with fewer rearrangements. In this preprint, Fulton et. al investigate if these rearrangements play a role in the differentiation of these progenitor cells. By combining live cell tracking with genetic regulatory network inference and mathematical modeling, their findings support the hypothesis that cell rearrangements tune morphogenetic signals in the developing tailbud to coordinate progenitor differentiation.

Main Findings

The intrinsic ability of PSM progenitor cells to differentiate is temporally regulated in vivo

The authors first isolated individual PSM progenitor cells from the posterior tailbud and examined the expression of transcription factors that mark the progenitor (tbx16) and differentiated (tbx6) states. The proportion of cells expressing tbx6 increased between three to six hours following dissociation of the cells at the expense of tbx16 positive cells, indicating that a subset of progenitor cells differentiate in the absence of external signals. When the authors followed up with live imaging of a Tbx6::GFP reporter in dissociated cells, they found that expression of the differentiation marker is remarkably synchronized across cells.

The authors did not observe the same synchronized differentiation when examining the process in the context of the developing tailbud. By labeling a clone of cells in the posterior progenitor region, the authors observed cells exiting this region and entering new somites over a range of several hours. Despite the movements of individual cells, a stable pattern of T-box gene expression was observed across the PSM, with tbx16 expressed in the posterior and tbx6 expressed in the anterior. Based on these observations, the authors proposed a model where cells mix in the tailbud and switch from tbx16 to tbx6 expression as they exit the posterior progenitor domain.

Cell rearrangements of PSM progenitor cells in vivo provide a possible mechanism for temporally regulating differentiation signals

After observing that the differentiation dynamics of progenitor cells is linked to their movement away from the posterior progenitor domain, the authors asked how these movements may relate to changes in external signals that serve as inputs to the T-box gene regulatory network (GRN). The authors inferred a minimal GRN using Approximate Gene Expression Trajectories (AGETs) and developed a mathematical model to predict the gene expression dynamics of the inferred GRN. By combining cell tracking data obtained through live imaging of the PSM with relative levels of Wnt and FGF signals across the PSM, the authors were able to model the dynamics of tbx6 and tbx16 expression within individual cells as a function of their position within the PSM.

This “live modeling” approach to predicting gene expression dynamics in the PSM gave insights into multiple experimental observations, including heterogeneity of tbx6 expression in the posterior progenitor domain and the tuning of tbx6 expression to correspond with exiting the tailbud. Cells that remain in the progenitor region experience high Wnt and low FGF signals, while cells that exit the progenitor region will downregulate Wnt and upregulate FGF, leading to increased expression of tbx6.

Because of the temporal delays in signal responses that are inherent to GRNs, some cells that exit the progenitor region and begin expressing tbx6 can be displaced posteriorly into the tbx16 domain but still show tbx6 expression, providing insight into the observed heterogeneity. Taken together, these results suggest a mechanism where cell movements modulate the level and duration of external Wnt and FGF signals experienced by individual cells to regulate their differentiation.

Why I chose this preprint

Embryonic development has long been understood as a combination of chemical and mechanical components, yet the interplay between the two has proven enormously difficult to study. Instead of choosing a system where the two components can be easily separated, the authors of this study leveraged multiple state-of-the-art techniques to understand how mechanical movements of cells can be used as a feature to tune the chemical signals those cells receive. I believe this preprint is a fantastic example of one type of question that can be asked when mathematicians, biologists, computer scientists and others collaborate.

Questions

  • How stable are the morphogen patterns over the time period that you look at? If you were to use a reporter for Wnt and FGF in live embryos, would you expect to see qualitative changes over time in the curves plotted in Figure 3c?
  • Does the mathematical model for the T-box gene regulatory network qualitatively recapitulate experimental results from perturbations to the Wnt and/or FGF signals?

References

Henrique, D., Abranches, E., Verrier, L., & Storey, K. G. (2015). Neuromesodermal progenitors and the making of the spinal cord. Development, 142(17), 2864–2875. https://doi.org/10.1242/dev.119768

Nikaido, M., Kawakami, A., Sawada, A., Furutani-Seiki, M., Takeda, H., & Araki, K. (2002). Tbx24, encoding a T-box protein, is mutated in the zebrafish somite-segmentation mutant fused somites. Nature Genetics, 31(2), 195–199. https://doi.org/10.1038/ng899

Warga, R. M., Mueller, R. L., Ho, R. K., & Kane, D. A. (2013). Zebrafish Tbx16 regulates intermediate mesoderm cell fate by attenuating Fgf activity. Developmental Biology, 383(1), 75–89. https://doi.org/10.1016/j.ydbio.2013.08.018

Tags: hcr, live-imaging, modeling, pattern formation, zebrafish

doi: https://doi.org/10.1242/prelights.31929

Read preprint (No Ratings Yet)

Author's response

Timothy Fulton shared

  1. The expression of the morphogens appear very stable over the period which we have looked at (14 somite stage to 28 somite stage). We have taken measurements of the activity of FGF and Wnt signalling and plotted these values along a normalised PSM length (as in preprint Fig3C) and when we do this, we see that the curves overlap very closely with one another. This overlap is only present when we plot the activity along a normalised PSM length however, as the entire tissue is actually reducing in anterior-posterior length (Morelli et al., 2014; Simsek., et al 2017). When we consider the profile of signalling in real terms, the pattern is scaling to the total A-P length of the tissue.
  2. This is an interesting question and something we’re hoping we can examine in much more detail later on. Currently we have only examined the wild type condition in order to develop our modelling approach. We know from the literature that both FGF and Wnt signalling are involved in both the regulation of cell fate decisions and also the regulation of morphogenesis and cell movements, so in order to simulate how experimental perturbations to signalling will impact the cell fate decisions, we also need to also examine how cell movements change following signal modification. We can now get this information using in toto imaging of an embryo during an experiment to inhibit a signalling pathway (as we have in our preprint, using a WT embryo) and then use this cell tracking data to simulate our GRN on. We would also need to quantitatively describe the impact of signal inhibition on the other signalling inputs to our GRN, so we can input them into our model. We describe our ideas on how to approach this sort of experiment further in a recently published review and also consider how we might use our approach to consider the differences in morphogenesis between species may regulate pattern formation: https://doi.org/10.1098/rsos.211293

 

 

Have your say

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Sign up to customise the site to your preferences and to receive alerts

Register here

Also in the developmental biology category:

Cellular signalling protrusions enable dynamic distant contacts in spinal cord neurogenesis

Joshua Hawley, Robert Lea, Veronica Biga, et al.

Selected by 15 November 2024

Ankita Walvekar

Developmental Biology

Actin-based deformations of the nucleus control multiciliated ependymal cell differentiation

Marianne Basso, Alexia Mahuzier, Syed Kaabir Ali, et al.

Selected by 30 October 2024

Ryan Harrison

Developmental Biology

HIF1A contributes to the survival of aneuploid and mosaic pre-implantation embryos

Estefania Sanchez-Vasquez, Marianne E. Bronner, Magdalena Zernicka-Goetz

Selected by 11 October 2024

Anchel De Jaime Soguero

Developmental Biology

preLists in the developmental biology category:

BSDB/GenSoc Spring Meeting 2024

A list of preprints highlighted at the British Society for Developmental Biology and Genetics Society joint Spring meeting 2024 at Warwick, UK.

 



List by Joyce Yu, Katherine Brown

GfE/ DSDB meeting 2024

This preList highlights the preprints discussed at the 2024 joint German and Dutch developmental biology societies meeting that took place in March 2024 in Osnabrück, Germany.

 



List by Joyce Yu

‘In preprints’ from Development 2022-2023

A list of the preprints featured in Development's 'In preprints' articles between 2022-2023

 



List by Alex Eve, Katherine Brown

preLights peer support – preprints of interest

This is a preprint repository to organise the preprints and preLights covered through the 'preLights peer support' initiative.

 



List by preLights peer support

The Society for Developmental Biology 82nd Annual Meeting

This preList is made up of the preprints discussed during the Society for Developmental Biology 82nd Annual Meeting that took place in Chicago in July 2023.

 



List by Joyce Yu, Katherine Brown

CSHL 87th Symposium: Stem Cells

Preprints mentioned by speakers at the #CSHLsymp23

 



List by Alex Eve

Journal of Cell Science meeting ‘Imaging Cell Dynamics’

This preList highlights the preprints discussed at the JCS meeting 'Imaging Cell Dynamics'. The meeting was held from 14 - 17 May 2023 in Lisbon, Portugal and was organised by Erika Holzbaur, Jennifer Lippincott-Schwartz, Rob Parton and Michael Way.

 



List by Helen Zenner

9th International Symposium on the Biology of Vertebrate Sex Determination

This preList contains preprints discussed during the 9th International Symposium on the Biology of Vertebrate Sex Determination. This conference was held in Kona, Hawaii from April 17th to 21st 2023.

 



List by Martin Estermann

Alumni picks – preLights 5th Birthday

This preList contains preprints that were picked and highlighted by preLights Alumni - an initiative that was set up to mark preLights 5th birthday. More entries will follow throughout February and March 2023.

 



List by Sergio Menchero et al.

CellBio 2022 – An ASCB/EMBO Meeting

This preLists features preprints that were discussed and presented during the CellBio 2022 meeting in Washington, DC in December 2022.

 



List by Nadja Hümpfer et al.

2nd Conference of the Visegrád Group Society for Developmental Biology

Preprints from the 2nd Conference of the Visegrád Group Society for Developmental Biology (2-5 September, 2021, Szeged, Hungary)

 



List by Nándor Lipták

Fibroblasts

The advances in fibroblast biology preList explores the recent discoveries and preprints of the fibroblast world. Get ready to immerse yourself with this list created for fibroblasts aficionados and lovers, and beyond. Here, my goal is to include preprints of fibroblast biology, heterogeneity, fate, extracellular matrix, behavior, topography, single-cell atlases, spatial transcriptomics, and their matrix!

 



List by Osvaldo Contreras

EMBL Synthetic Morphogenesis: From Gene Circuits to Tissue Architecture (2021)

A list of preprints mentioned at the #EESmorphoG virtual meeting in 2021.

 



List by Alex Eve

EMBL Conference: From functional genomics to systems biology

Preprints presented at the virtual EMBL conference "from functional genomics and systems biology", 16-19 November 2020

 



List by Jesus Victorino

Single Cell Biology 2020

A list of preprints mentioned at the Wellcome Genome Campus Single Cell Biology 2020 meeting.

 



List by Alex Eve

Society for Developmental Biology 79th Annual Meeting

Preprints at SDB 2020

 



List by Irepan Salvador-Martinez, Martin Estermann

FENS 2020

A collection of preprints presented during the virtual meeting of the Federation of European Neuroscience Societies (FENS) in 2020

 



List by Ana Dorrego-Rivas

Planar Cell Polarity – PCP

This preList contains preprints about the latest findings on Planar Cell Polarity (PCP) in various model organisms at the molecular, cellular and tissue levels.

 



List by Ana Dorrego-Rivas

Cell Polarity

Recent research from the field of cell polarity is summarized in this list of preprints. It comprises of studies focusing on various forms of cell polarity ranging from epithelial polarity, planar cell polarity to front-to-rear polarity.

 



List by Yamini Ravichandran

TAGC 2020

Preprints recently presented at the virtual Allied Genetics Conference, April 22-26, 2020. #TAGC20

 



List by Maiko Kitaoka et al.

3D Gastruloids

A curated list of preprints related to Gastruloids (in vitro models of early development obtained by 3D aggregation of embryonic cells). Updated until July 2021.

 



List by Paul Gerald L. Sanchez and Stefano Vianello

ASCB EMBO Annual Meeting 2019

A collection of preprints presented at the 2019 ASCB EMBO Meeting in Washington, DC (December 7-11)

 



List by Madhuja Samaddar et al.

EDBC Alicante 2019

Preprints presented at the European Developmental Biology Congress (EDBC) in Alicante, October 23-26 2019.

 



List by Sergio Menchero et al.

EMBL Seeing is Believing – Imaging the Molecular Processes of Life

Preprints discussed at the 2019 edition of Seeing is Believing, at EMBL Heidelberg from the 9th-12th October 2019

 



List by Dey Lab

SDB 78th Annual Meeting 2019

A curation of the preprints presented at the SDB meeting in Boston, July 26-30 2019. The preList will be updated throughout the duration of the meeting.

 



List by Alex Eve

Lung Disease and Regeneration

This preprint list compiles highlights from the field of lung biology.

 



List by Rob Hynds

Young Embryologist Network Conference 2019

Preprints presented at the Young Embryologist Network 2019 conference, 13 May, The Francis Crick Institute, London

 



List by Alex Eve

Pattern formation during development

The aim of this preList is to integrate results about the mechanisms that govern patterning during development, from genes implicated in the processes to theoritical models of pattern formation in nature.

 



List by Alexa Sadier

BSCB/BSDB Annual Meeting 2019

Preprints presented at the BSCB/BSDB Annual Meeting 2019

 



List by Dey Lab

Zebrafish immunology

A compilation of cutting-edge research that uses the zebrafish as a model system to elucidate novel immunological mechanisms in health and disease.

 



List by Shikha Nayar
Close