Intrinsic cellular heterogeneity directs divergent epithelial‐to‐mesenchymal transition outcomes

Epithelial-to-mesenchymal transition (EMT) is a fundamental process in development and disease; however, its study is often complicated by the intrinsic heterogeneity of commonly used epithelial cell models. Here, we show that pre-existing heterogeneity contributes to divergent outcomes following transforming growth factor-beta 3 (TGFβ3) treatment. Flow cytometry, gene expression profiling and imaging revealed persistent variability in E-cadherin (E-cad) and epithelial cell adhesion molecule (EpCAM) expression, with differentially sorted subpopulations displaying distinct transcriptional responses. Remarkably, some single-cell-derived clones exhibited paradoxical CDH1 upregulation during EMT, coinciding with GRHL3 induction and reflecting context-specific regulatory plasticity. Additionally, forskolin-mediated cyclic adenosine monophosphate (cAMP) activation enhanced epithelial stability and modulated EMT dynamics by preserving membrane-localised E-cadherin without preventing transcriptional repression of CDH1. Comparison with an epithelial subclone model further demonstrated how baseline identity shapes EMT trajectories. Moreover, in vivo analysis using zebrafish xenografts revealed that intrinsic epithelial features were associated with differential dissemination potential, reinforcing the connection between cellular identity and metastatic behaviour. These findings underline the importance of accounting for inherent heterogeneity in EMT models and demonstrate how intrinsic regulatory states and extrinsic signals intersect to shape epithelial plasticity.

Authors

Institutions

Publication Details

Journal
FEBS Journal
Published
2026-02-17
DOI
https://doi.org/10.1111/febs.70458
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intrinsic cellular heterogeneity directs divergent epithelial‐to‐mesenchymal transition outcomes

Tuğçe Batur, Esin Ozkuru Sekeroglu, Seray Yetkin, Burcu Şengez et al.
FEBS Journal
Cancer Cells and Metastasis
article

Intrinsic cellular heterogeneity directs divergent epithelial‐to‐mesenchymal transition outcomes

Tuğçe Batur, Esin Ozkuru Sekeroglu, Seray Yetkin, Burcu Şengez, Seyma Nur Yıldız, Ozlem Erez, Gkamze Impraimoglou Kafaz, Hani Alotaibi, Gulcin Cakan‐Akdogan, Esra Ersöz Gülseven
article en

Abstract

Epithelial-to-mesenchymal transition (EMT) is a fundamental process in development and disease; however, its study is often complicated by the intrinsic heterogeneity of commonly used epithelial cell models. Here, we show that pre-existing heterogeneity contributes to divergent outcomes following transforming growth factor-beta 3 (TGFβ3) treatment. Flow cytometry, gene expression profiling and imaging revealed persistent variability in E-cadherin (E-cad) and epithelial cell adhesion molecule (EpCAM) expression, with differentially sorted subpopulations displaying distinct transcriptional responses. Remarkably, some single-cell-derived clones exhibited paradoxical CDH1 upregulation during EMT, coinciding with GRHL3 induction and reflecting context-specific regulatory plasticity. Additionally, forskolin-mediated cyclic adenosine monophosphate (cAMP) activation enhanced epithelial stability and modulated EMT dynamics by preserving membrane-localised E-cadherin without preventing transcriptional repression of CDH1. Comparison with an epithelial subclone model further demonstrated how baseline identity shapes EMT trajectories. Moreover, in vivo analysis using zebrafish xenografts revealed that intrinsic epithelial features were associated with differential dissemination potential, reinforcing the connection between cellular identity and metastatic behaviour. These findings underline the importance of accounting for inherent heterogeneity in EMT models and demonstrate how intrinsic regulatory states and extrinsic signals intersect to shape epithelial plasticity.

FEBS Journal
Izmir University (TR), Dokuz Eylül University (TR)
Openalex Percentile: Top 51%
Cancer Cells and Metastasis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.