Published April 19, 2022
| Version v1
Journal article
Open
Notch controls the cell cycle to define leader versus follower identities during collective cell migration
Creators
-
Alhashem, Zain1
- Feldner-Busztin, Dylan2
-
Revell, Christopher2
- Alvarez-Garcillan Portillo, Macarena1
- Camargo-Sosa, Karen3
-
Richardson, Joanna1
- Rocha, Manuel4
-
Gauert, Anton1
- Corbeaux, Tatianna1
- Milanetto, Martina5
-
Argenton, Francesco5
-
Tiso, Natascia5
-
Kelsh, Robert N.3
- Prince, Victoria E.4
- Bentley, Katie2
-
Linker, Claudia1
- 1. King's College London
- 2. Francis Crick Institute
- 3. University of Bath
- 4. University of Chicago
- 5. University of Padova
Description
Coordination of cell proliferation and migration is fundamental for life, and its dysregulation has catastrophic consequences, such as cancer. How cell cycle progression affects migration, and vice versa, remains largely unknown. We address these questions by combining in silico modelling and in vivo experimentation in the zebrafish trunk neural crest (TNC). TNC migrate collectively, forming chains with a leader cell directing the movement of trailing followers. We show that the acquisition of migratory identity is autonomously controlled by Notch signalling in TNC. High Notch activity defines leaders, while low Notch determines followers. Moreover, cell cycle progression is required for TNC migration and is regulated by Notch. Cells with low Notch activity stay longer in G1 and become followers, while leaders with high Notch activity quickly undergo G1/S transition and remain in S-phase longer. In conclusion, TNC migratory identities are defined through the interaction of Notch signalling and cell cycle progression.
Data availability
The model code is accessible at https://github.com/Bentley-Cellular-Adaptive-Behaviour-Lab/NeuralCrestCpp, (copy archived at swh:1:rev:cdf63f3786390fb7905092717456cc69f5657ddc). The code used to perform the LDA analysis is accessible in the supplementary files. All numerical data used in the figures is accessible in the supplementary data source file.
Files
elife-73550-v2.pdf
Files
(24.1 MB)
| Name | Size | Download all |
|---|---|---|
|
Article md5:67e00a0fe606d55c8a98ae72cbe182e3 |
23.4 MB | Preview Download |
|
md5:0501ef6fa6703e8b8e4d20fe0dbc3e92
|
791.1 kB | Preview Download |
Additional details
Identifiers
- DOI
- 10.7554/eLife.73550
- Other
- oai:uchicago.tind.io:9840
Related works
- Cites
- https://doi.org/10.1101/2021.05.27.445572 (URL)
Funding
- Medical Research Council
- G1000080/1
- Royal Society
- 2010/R1
- Wellcome Trust
- 207630/Z/17/Z
- Eucine Kennedy Shiver National Institute of Child Health & Human Development of the National Institutes of Health
- T32HD055164
- Eucine Kennedy Shiver National Institute of Child Health & Human Development of the National Institutes of Health
- F31HD097957
- Cancer Research UK
- FC001751
- Medical Research Council
- FC001751
- Wellcome Trust
- FC001751
- Biotechnology and Biological Sciences Research Council
- BB/S015906/1