Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

TGFβ1 promotes collective invasion of oncogenically transformed intestinal organoids by inducing partial epithelial-mesenchymal transition independently of Snail1 and Zeb1

ABSTRACT: Cancer cells simultaneously featuring epithelial and mesenchymal traits appear particularly competent to invade and metastasize. However, genetic prerequisites and signaling pathways promoting such partial epithelial-to-mesenchymal transitions (EMT) remain obscure. Here we report that murine intestinal organoids with hyperactive Wnt and MAPK signaling, and mutant Trp53 are purely epithelial and non-invasive in vitro, but initiate a collective invasion program when treated with TGFβ1. Invasive organoids reciprocally interact with the extracellular matrix (ECM), and autonomously deposit and remodel components thereof. Although cells at the organoid/ECM interface shed certain epithelial characteristics, invasive organoids largely maintain epithelial gene expression while concomitantly upregulating a mesenchymal program. TGFβ1-induced phenotypic changes involve canonical, Smad4-dependent signaling, yet, are unimpeded by knockout of Snai1 and Zeb1 - otherwise key regulators of epithelial-to-mesenchymal transitions. The finding of TGFβ1-inducible, Snail1/Zeb1-independent collective invasion of oncogenically transformed intestinal organoids provides novel mechanistic insights and broadens the spectrum of context-dependent manifestations of partial EMT.

ORGANISM(S): Mus musculus

PROVIDER: GSE156553 | GEO | 2022/01/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

TGFβ1 promotes collective invasion of oncogenically transformed intestinal organoids by inducing partial epithelial-mesenchymal transition independently of Snail1 and Zeb1

Project description:TGFβ1 promotes collective invasion of oncogenically transformed intestinal organoids by inducing partial epithelial-mesenchymal transition independently of Snail1 and Zeb1

| PRJNA658333 | ENA

Regan2022 - Mechanosensitive EMT model with autocrine TGFbeta signaling

Project description:This model is an expansion of the Regan2022 - Mechanosensitive EMT model (MODEL2208050001); it includes a TGFβ signaling module and autocrine signaling in mesenchymal cells. The expanded 150-node (630 link) modular model undergoes EMT triggered by biomechanical and growth signaling crosstalk, or by TGFβ. As its predecessor, this model also reproduces the ability of the core EMT transcriptional network to maintain distinct epithelial, hybrid E/M and mesenchymal states, as well as EMT driven by mitogens such as EGF on stiff ECM. We also reproduce the observed lack of stepwise MET, in that our model's dynamics does not pass through the hybrid E/M state during MET. We show that in the absence of strong autocrine signals such as TGFβ (not included in this version), cells cannot maintain their mesenchymal state in the absence of mitogens, on softer matrices, or at high cell density. In contrast, potent autocrine signaling can stabilize the mesenchymal state in all but very dense monolayers on soft ECM. This expanded model also reproduces the inhibitory effects of TGFβ on proliferation and anoikis resistance in mesenchymal cells, as well as its ability to trigger apoptosis on soft ECM vs. EMT on stiff matrices. The model offers several experimentally testable predictions related to the effect of neighbors on partial vs. full EMT, the tug of war between mitosis and the maintenance of migratory hybrid E/M states, as well as cell cycle defects in dynamic, heterogeneous populations of epithelial, hybrid E/M and mesenchymal cells.

2023-12-13 | MODEL2208050002 | BioModels

Expression data from human breast cancer cell line DCIS educated by CAFs

Project description:Emerging evidence supports the hypothesis that multicellular tumor clusters invade and seed metastasis. However, whether tumor-associated stroma induces epithelial-mesenchymal plasticity in tumor cell clusters, to promote invasion and metastasis, remains unknown. We demonstrate herein that carcinoma-associated fibroblasts (CAFs) frequently present in tumor stroma drive the formation of tumor cell clusters composed of two distinct cancer cell populations, one in a highly-epithelial (E-cadherin-high ZEB1-low/neg: E-hi) state and another in a hybrid epithelial/mesenchymal (E-cadherin-low ZEB1-high: E/M) state. The E-hi cells highly express oncogenic cell-cell adhesion molecules, such as carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) and CEACAM6 that associate with E-cadherin, resulting in increased tumor cell cluster formation and metastatic seeding. The E/M cells also retain associations with E-hi cells, which follow the E/M cells leading to collective invasion. CAF-produced stromal cell-derived factor 1 and transforming growth factor-b confer the E-hi and E/M states as well as invasive and metastatic traits via Src activation in apposed human breast tumor cells. Taken together, these findings indicate that invasive and metastatic tumor cell clusters are induced by CAFs via epithelial-mesenchymal plasticity.

2019-07-17 | GSE119253 | GEO

TGFB1 induced S100 family protein expression is associated with epithelial to mesenchymal transition states and poor survival in pancreatic cancer

Project description:Epithelial-mesenchymal transition (EMT) is a continuum that includes epithelial, partial EMT (P-EMT) and mesenchymal states, each of which are associated with cancer progression, invasive capabilities and ultimately metastasis. We have employed a lineage traced sporadic model of pancreatic cancer to generate a murine organoid biobank from primary and secondary tumors, including sublines that have undergone P-EMT and complete EMT (C-EMT). Using an unbiased quantitative proteomics approach, we found that the morphology of the organoids could predict EMT state, with solid organoids associated with a C-EMT signature. We also observed that exogenous TGFb1 could induce a solid organoid morphology that was associated with changes in the S100 family of proteins and the formation of high-grade tumors. Our work reveals that S100A4 may represent a useful biomarker to predict EMT state, disease progression and outcome.

2023-02-24 | PXD030992 | Pride

TGF-Beta 3 heterozygous mice

Project description:Transforming growth factor β (TGFβ) family comprises the main player in the development of fibrosis including three isoforms: TGFβ1, TGFβ2 and TGFβ3. TGFβ3 may play an antifibrotic role at the renal level, counteracting the role of TGFβ1, using a mouse model heterozygous for the TGFβ3 gene (TGFβ3+/-). Partial deletion of TGFβ3 causes in the mice albuminuria, loss of glomerular filtration rate, accelerated fibrosis, epithelial-to-mesenchymal transition and increment of glomerular basement membrane thickening.

2019-12-19 | ST001303 | MetabolomicsWorkbench

ZEB1 controls a lineage-specific transcriptional program essential for melanoma cell state transitions [ChIP-seq]

Project description:Cell plasticity sustains intra-tumor heterogeneity and treatment resistance in melanoma. Deciphering the transcriptional mechanisms governing reversible phenotypic transitions between proliferative/differentiated and invasive/stem-like states is required. Expression of the ZEB1 transcription factor is frequently activated in melanoma, where it fosters adaptive resistance to targeted therapies. Here, we performed a genome-wide characterization of ZEB1 transcriptional targets, by combining ChIP-sequencing and RNA-sequencing, upon phenotype switching in melanoma models. We identified and validated ZEB1 binding peaks in the promoter of key lineage-specific genes crucial for melanoma cell identity. Mechanistically, ZEB1 negatively regulates SOX10-MITF dependent proliferative/melanocytic programs and positively regulates AP-1 driven invasive and stem-like programs. Comparative analyses with breast carcinoma cells revealed lineage-specific ZEB1 binding, leading to the design of a more reliable melanoma-specific ZEB1 regulon. We then developed single-cell spatial multiplexed analyses to characterize melanoma cell states intra-tumoral heterogeneity in human melanoma samples. Combined with scRNA-Seq analyses, our findings confirmed increased ZEB1 expression in Neural-Crest-like cells and mesenchymal cells, underscoring its significance in vivo in both populations. Overall, our results define ZEB1 as a major transcriptional regulator of cell states transitions and provide a better understanding of lineage-specific transcriptional programs sustaining intra-tumor heterogeneity in melanoma.

2024-03-26 | GSE246672 | GEO

ZEB1 controls a lineage-specific transcriptional program essential for melanoma cell state transitions [RNA-seq]

2024-03-26 | GSE246603 | GEO

Bi-directional epithelial-mesenchymal crosstalk provides self-sustaining pro-fibrotic signals in pulmonary fibrosis

Project description:Idiopathic pulmonary fibrosis (IPF) is the prototypic progressive fibrotic lung disease with a median survival of 2-4 years. Injury to and/or dysfunction of alveolar epithelium are strongly implicated in IPF disease initiation, but what factors determine why fibrosis progresses rather than normal tissue repair occurs remain poorly understood. We previously demonstrated that ZEB1-mediated epithelial-mesenchymal transition (EMT) in human alveolar epithelial type II (ATII) cells augments TGF-β-induced profibrogenic responses in underlying lung fibroblasts by paracrine signalling. Here we investigated bi-directional epithelial-mesenchymal crosstalk and its potential to drive fibrosis progression. RNA sequencing (RNA-seq) of lung fibroblasts exposed to conditioned media from ATII cells undergoing RAS-induced EMT identified many differentially expressed genes including those involved in cell migration and extracellular matrix (ECM) regulation. We confirmed that paracrine signalling between AS-activated ATII cells and fibroblasts augmented fibroblast recruitment and demonstrated that this involved a ZEB1-tissue plasminogen activator (tPA) axis. In a reciprocal fashion, paracrine signalling from TGF-β-activated lung fibroblasts or IPF fibroblasts induced RAS activation in ATII cells, at least partially via the secreted protein, SPARC. Together these data identify that aberrant bi-directional epithelial-mesenchymal crosstalk in IPF drives a chronic feedback loop that maintains a wound-healing phenotype and provides self-sustaining pro-fibrotic signals.

2021-08-19 | PXD025821 | Pride

ZEB1 insufficiency causes corneal endothelial cell state transition and altered cellular processing

Project description:The zinc finger e-box binding homeobox 1 (ZEB1) transcription factor is a master regulator of the epithelial to mesenchymal transition (EMT), and of the reverse mesenchymal to epithelial transition (MET) processes. ZEB1 plays an integral role in mediating cell state transitions during cell lineage specification, wound healing and disease. EMT/MET are characterized by distinct changes in molecular and cellular phenotype that are generally context-independent. Posterior polymorphous corneal dystrophy (PPCD), associated with ZEB1 insufficiency, provides a new biological context in which to understand and evaluate the classic EMT/MET paradigm. PPCD is characterized by a cadherin-switch and transition to an epithelial-like transcriptomic and cellular phenotype, which we study in a cell-based model of PPCD generated using CRISPR-Cas9-mediated ZEB1 knockout in corneal endothelial cells (CEnCs). Transcriptomic and functional studies support the hypothesis that CEnC undergo an MET-like transition in PPCD, termed endothelial to epithelial transition (EnET), and lead to the conclusion that EnET may be considered a corollary to the classic EMT/MET paradigm.

2019-06-13 | GSE121680 | GEO

Zeb1 and Snail1 engage miR-200f transcriptional and epigenetic regulation during EMT

Project description:Cell plasticity is emerging as a key regulator of tumor progression and metastasis. During carcinoma dissemination epithelial cells undergo epithelial to mesenchymal transition (EMT) processes characterized by the acquisition of migratory/invasive properties, while the reverse, mesenchymal to epithelial transition (MET) process, is also essential for metastasis outgrowth. Different transcription factors, called EMT-TFs, including Snail, bHLH and Zeb families are drivers of the EMT branch of epithelial plasticity, and can be post-transcriptionally downregulated by several miRNAs, as the miR-200 family. The specific or redundant role of different EMT-TFs and their functional interrelations are not fully understood. To study the interplay between different EMT-TFs, comprehensive gain and loss-of-function studies of Snail1, Snail2 and/or Zeb1 factors were performed in the prototypical MDCK cell model system. We here describe that Snail1 and Zeb1 are mutually required for EMT induction while continuous Snail1 and Snail2 expression, but not Zeb1, is needed for maintenance of the mesenchymal phenotype in MDCK cells. In this model system, EMT is coordinated by Snail1 and Zeb1 through transcriptional and epigenetic downregulation of the miR-200 family. Interestingly, Snail1 is involved in epigenetic CpG DNA methylation of the miR-200 loci, essential to maintain the mesenchymal phenotype. The present results thus define a novel functional interplay between Snail and Zeb EMT-TFs in miR200f regulation providing a molecular link to their previous involvement in the generation of EMT process in vivo. Expression analysis of MDCK over-expression EMT-TF Analysis of 7 overexpression MDCK cells each of them using biological rpelicates (MDCK-E47, Snail2, Snail1, Twist1, Tiwst2, Zeb1, Zeb2)

2014-09-09 | E-GEOD-61217 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data