» Articles » PMID: 38702503

ETV4 is a Mechanical Transducer Linking Cell Crowding Dynamics to Lineage Specification

Overview
Journal Nat Cell Biol
Specialty Cell Biology
Date 2024 May 3
PMID 38702503
Authors
Affiliations
Soon will be listed here.
Abstract

Dynamic changes in mechanical microenvironments, such as cell crowding, regulate lineage fates as well as cell proliferation. Although regulatory mechanisms for contact inhibition of proliferation have been extensively studied, it remains unclear how cell crowding induces lineage specification. Here we found that a well-known oncogene, ETS variant transcription factor 4 (ETV4), serves as a molecular transducer that links mechanical microenvironments and gene expression. In a growing epithelium of human embryonic stem cells, cell crowding dynamics is translated into ETV4 expression, serving as a pre-pattern for future lineage fates. A switch-like ETV4 inactivation by cell crowding derepresses the potential for neuroectoderm differentiation in human embryonic stem cell epithelia. Mechanistically, cell crowding inactivates the integrin-actomyosin pathway and blocks the endocytosis of fibroblast growth factor receptors (FGFRs). The disrupted FGFR endocytosis induces a marked decrease in ETV4 protein stability through ERK inactivation. Mathematical modelling demonstrates that the dynamics of cell density in a growing human embryonic stem cell epithelium precisely determines the spatiotemporal ETV4 expression pattern and, consequently, the timing and geometry of lineage development. Our findings suggest that cell crowding dynamics in a stem cell epithelium drives spatiotemporal lineage specification using ETV4 as a key mechanical transducer.

Citing Articles

Mouse cortical organoids reveal key functions of p73 isoforms: TAp73 governs the establishment of the archetypical ventricular-like zones while DNp73 is central in the regulation of neural cell fate.

Alonso-Olivares H, Marques M, Prieto-Colomina A, Lopez-Ferreras L, Martinez-Garcia N, Vazquez-Jimenez A Front Cell Dev Biol. 2024; 12:1464932.

PMID: 39376628 PMC: 11456701. DOI: 10.3389/fcell.2024.1464932.


Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome.

Nevarez A, Mudla A, Diaz S, Hao N PLoS Comput Biol. 2024; 20(7):e1012271.

PMID: 39078811 PMC: 11288469. DOI: 10.1371/journal.pcbi.1012271.

References
1.
Sheng G . Epiblast morphogenesis before gastrulation. Dev Biol. 2014; 401(1):17-24. DOI: 10.1016/j.ydbio.2014.10.003. View

2.
Smith A . Formative pluripotency: the executive phase in a developmental continuum. Development. 2017; 144(3):365-373. PMC: 5430734. DOI: 10.1242/dev.142679. View

3.
Nakamura T, Okamoto I, Sasaki K, Yabuta Y, Iwatani C, Tsuchiya H . A developmental coordinate of pluripotency among mice, monkeys and humans. Nature. 2016; 537(7618):57-62. DOI: 10.1038/nature19096. View

4.
Sasai Y . Cytosystems dynamics in self-organization of tissue architecture. Nature. 2013; 493(7432):318-26. DOI: 10.1038/nature11859. View

5.
Zhu M, Zernicka-Goetz M . Principles of Self-Organization of the Mammalian Embryo. Cell. 2020; 183(6):1467-1478. PMC: 8212876. DOI: 10.1016/j.cell.2020.11.003. View