Summary of ssbd-repos-000174

Name
URL
DOI

Title
Redundant and specific roles of EGFR ligands in the ERK activation waves during collective cell migration of MDCK cells
Description

Epidermal growth factor receptor (EGFR) plays a pivotal role in collective cell migration by mediating cell-to-cell propagation of extracellular signal-regulated kinase (ERK) activation. Here, we aimed to determine which EGFR ligands mediate the ERK activation waves by gene knockout. Four of the seven known EGFR ligands are expressed in MDCK cells. We found that epidermal growth factor (EGF)-deficient cells exhibited lower basal ERK activity than the cells deficient in heparin-binding EGF (HBEGF), transforming growth factor alpha (TGFα) or epiregulin (EREG), but all cell lines deficient in a single EGFR ligand retained the ERK activation waves. Therefore, we knocked out the EGFR ligand genes in decreasing order of expression. ERK activation waves were markedly suppressed, albeit incompletely, only when all four EGFR ligands were knocked-out. Re-expression of the EGFR ligands revealed that all but HBEGF could restore the ERK activation waves. Aiming at complete elimination of the ERK activation waves, we further attempted to knockout Nrg1, a ligand for ErbB3 and ErbB4, and found that Nrg1 deficiency induced growth arrest in the absence of all four EGFR ligand genes expressed in MDCK cells. Collectively, these results showed that EGFR ligands exhibit remarkable redundancy in the propagation of ERK activation waves during collective cell migration.

Submited Date
2021-05-22
Release Date
2021-10-18
Updated Date
-
License
Funding information
-
File formats
TIF
Data size
90.3 GB

Organism
canis familiaris
Strain
-
Cell Line
MDCK cells: RIKEN BioResource Center (no. RCB0995)
Genes
-
Proteins
-

GO Molecular Function (MF)
epidermal growth factor
GO Biological Process (BP)
cell migration
GO Cellular Component (CC)
plasma membrane, extracellular space
Study Type
Cell Culture Techniques
Imaging Methods
Fluorescence Microscopy

Method Summary

See details in Lin S, Hirayama D, Maryu G, Matsuda K, Hino N, Deguchi E, Aoki K, Iwamoto R, Terai K, Matsuda M. Redundant roles of EGFR ligands in the ERK activation waves during collective cell migration. Life Sci Alliance. 2021 Oct 19;5(1):e202101206. doi: 10.26508/lsa.202101206. PMID: 34667080.

Related paper(s)

Shuhao Lin, Daiki Hirayama, Gembu Maryu, Kimiya Matsuda, Naoya Hino, Eriko Deguchi, Kazuhiro Aoki, Ryo Iwamoto, Kenta Terai, Michiyuki Matsuda (2022) Redundant roles of EGFR ligands in the ERK activation waves during collective cell migration., Life science alliance, Volume 5, Number 1

Published in 2022 Jan (Electronic publication in Oct. 19, 2021, midnight )

(Abstract) Epidermal growth factor receptor (EGFR) plays a pivotal role in collective cell migration by mediating cell-to-cell propagation of extracellular signal-regulated kinase (ERK) activation. Here, we aimed to determine which EGFR ligands mediate the ERK activation waves. We found that epidermal growth factor (EGF)-deficient cells exhibited lower basal ERK activity than the cells deficient in heparin-binding EGF (HBEGF), transforming growth factor alpha (TGFalpha) or epiregulin (EREG), but all cell lines deficient in a single EGFR ligand retained the ERK activation waves. Surprisingly, ERK activation waves were markedly suppressed, albeit incompletely, only when all four EGFR ligands were knocked out. Re-expression of the EGFR ligands revealed that all but HBEGF could restore the ERK activation waves. Aiming at complete elimination of the ERK activation waves, we further attempted to knockout NRG1, a ligand for ErbB3 and ErbB4, and found that NRG1-deficiency induced growth arrest in the absence of all four EGFR ligand genes. Collectively, these results showed that EGFR ligands exhibit remarkable redundancy in the propagation of ERK activation waves during collective cell migration.
(MeSH Terms)

Contact(s)
Michiyuki Matsuda
Organization(s)
Graduate School of Biostudies, Kyoto University , Research Center for Dynamic Living Systems , Laboratory of Bioimaging and Cell Signaling
Image Data Contributors
Shuhao Lin
Quantitative Data Contributors
Shuhao Lin, Michiyuki Matsuda

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