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Dosage effect of TGF-beta on EMT induction of MCF10A cells (experiment1)

ABSTRACT: Epithelial-mesenchymal transition (EMT) is a key cellular process involved in development and disease progression. Single-cell transcriptomes can reveal intermediate EMT states observed in tumors, but previous studies focused on time-dependent responses in epithelial cells after stimulation with EMT signals as an in vitro model for understanding EMT progression, so it was unclear how transcriptomes can change in response to different levels of EMT inducer. Here, we performed single-cell RNA-sequencing with human mammary epithelial cells treated with various concentrations of TGF-β. We found that the dose-dependent EMT harbors multiple intermediate states at the single-cell level after two weeks of treatment, suggesting a stable EMT continuum. After correcting batch effects from experiments, we performed comparative analyses of the dose- and time-dependent EMT. We found that the dose-dependent EMT shows a stronger anti-correlation between epithelial and mesenchymal transcriptional programs and a better resolution of stages of EMT compared to the time-dependent progress. These properties enable more power to detect genes whose expressions are associated with EMT. Nonetheless, our analyses showed cell clusters unique to the time-dependent EMT, which correspond to en route cell populations that do not appear at steady states. Furthermore, combining dose- and time-dependent cell clusters gave rise to more accurate prognosis for cancer patients compared to individual EMT spectrum.

ORGANISM(S): Homo sapiens

PROVIDER: GSE213753 | GEO | 2022/09/20

REPOSITORIES: GEO

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Dosage effect of TGF-beta on EMT induction of MCF10A cells

Project description:Epithelial-mesenchymal transition (EMT) is a key cellular process involved in development and disease progression. Single-cell transcriptomes can reveal intermediate EMT states observed in tumors, but previous studies focused on time-dependent responses in epithelial cells after stimulation with EMT signals as an in vitro model for understanding EMT progression, so it was unclear how transcriptomes can change in response to different levels of EMT inducer. Here, we performed single-cell RNA-sequencing with human mammary epithelial cells treated with various concentrations of TGF-β. We found that the dose-dependent EMT harbors multiple intermediate states at the single-cell level after two weeks of treatment, suggesting a stable EMT continuum. After correcting batch effects from experiments, we performed comparative analyses of the dose- and time-dependent EMT. We found that the dose-dependent EMT shows a stronger anti-correlation between epithelial and mesenchymal transcriptional programs and a better resolution of stages of EMT compared to the time-dependent progress. These properties enable more power to detect genes whose expressions are associated with EMT. Nonetheless, our analyses showed cell clusters unique to the time-dependent EMT, which correspond to en route cell populations that do not appear at steady states. Furthermore, combining dose- and time-dependent cell clusters gave rise to more accurate prognosis for cancer patients compared to individual EMT spectrum.

2022-08-29 | GSE200941 | GEO

Identification of the tumour transition states occurring during EMT [ATAC-seq]

Project description:EMT (epithelial-mesenchymal transition) in cancer has been associated with tumour stemness, metastasis and resistance to therapy. It has recently been proposed that, rather than being a binary process, EMT occurs through distinct intermediate states. However,direct in vivo evidence supporting this possibility is still lacking. By screening a large panel of cell surface markers, we identified the existence of multiple tumour subpopulations associated with different EMT stages from epithelial to completely mesenchymal states passing through intermediate hybrid states in skin and mammary primary tumours. Although all EMT subpopulations presented similar tumour propagating cell capacity, they displayed different, invasiveness and metastatic potential. Their transcriptional and epigenetic landscapes defined by RNA-seq and ATAC-seq identified the underlying gene regulatory networks, transcription factors and signalling pathways that control these different EMT transition states. Finally, these tumour subpopulations are localized in different niches that differentially regulateEMT transition states.

2018-02-15 | GSE110584 | GEO

Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer [RNA-seq]

Project description:The Epithelial-to-Mesenchymal Transition (EMT) is a dynamic cellular program that is frequently used by cancer cells to increase migratory and invasive cell characteristics. It is a key contributor to both heterogeneity and chemo-resistance and metastasis in many solid tumors, including triple negative breast cancer. In particular, the intermediate or hybrid EMT state has increased tumor initiating and stem-like properties. Here, we have identified multiple distinct EMT states derived from the human breast cell line, SUM149PT, including three unique intermediate states, possessing distinct migratory, tumor initiating, and metastatic qualities. We have used this model to interrogate the epigenetic landscape of these distinct EMT states in a multi-omics approach, identifying and RUNX2 as relevant in regulating the intermediate state, as well as to develop a novel multiplexed staining approach to evaluate E-M heterogeneity (EMH) and overall EMT score in orthotopic tumors as well as patient tumor samples. This model reveals insights into the complex EMT spectrum of cell states, the networks that control them, and how EMT plasticity contributes to tumor heterogeneity in breast cancer.

2022-02-15 | GSE172609 | GEO

Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer [ATAC-seq]

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Identification of the tumour transition states occurring during EMT [p63 overexpression RNA-seq]

Project description:EMT in cancer has been associated with tumour stemness, metastasis and resistance to therapy. It has recently been proposed that, rather than being a binary process, EMT occurs through distinct intermediate states. However,direct in vivo evidence supporting this possibility is still lacking. By screening a large panel of cell surface markers, we identified the existence of multiple tumour subpopulations associated with different EMT stages from epithelial to completely mesenchymal states passing through intermediate hybrid states in skin and mammary primary tumours. Although all EMT subpopulations presented similar tumour propagating cell capacity, they displayed different , invasiveness and metastatic potential. Their transcriptional and epigenetic landscapes defined by RNA-seq and ATAC-seq identified the underlying gene regulatory networks, transcription factors and signalling pathways that control these different EMT transition states. Finally, these tumour subpopulations are localized in different niches that differentially regulateEMT transition states.

2018-02-15 | GSE110586 | GEO

Identification of the tumour transition states occurring during EMT [RNA-seq]

2018-02-15 | GSE110585 | GEO

3D genome organization in the epithelial-mesenchymal transition spectrum [scHi-C_OVCA429shGRHL]

Project description:Background The plasticity along the epithelial-mesenchymal transition (EMT) spectrum has been shown to be regulated by various epigenetic repertoires. Emerging evidence of local chromatin conformation changes suggests that regulation of EMT may occur at a higher order of three-dimensional genome level. Results We perform Hi-C analysis and combine ChIP-seq data across cancer cell lines representing different EMT states. We demonstrate that the epithelial and mesenchymal genes are regulated distinctively. We find that EMT genes are regulated within their topologically associated domains (TADs), with only a subset of mesenchymal genes being influenced by A/B compartment switches, indicating topological remodelling is required in the transcriptional regulation of these genes. At the TAD level, epithelial and mesenchymal genes are associated with different regulatory trajectories. The epithelial gene-residing TADs are enriched with H3K27me3 marks in the mesenchymal-like states. The mesenchymal gene-residing TADs , which do not show enrichment of H3K27me3 in epithelial-like states, exhibit increased interaction frequencies with regulatory elements in the mesenchymal-like states. Conclusions We propose a novel workflow coupling immunofluorescence and dielectrophoresis to unravel EMT heterogeneity at single-cell resolution. The predicted three-dimensional structures of chromosome 10, harboring Vimentin, identify cell clusters of different states. Our results pioneer a novel avenue to decipher the complexities underlying the regulation of EMT and may infer the barriers of plasticity in the 3D genome context.

2022-05-08 | GSE201918 | GEO

3D genome organization in the epithelial-mesenchymal transition spectrum [scHi-C_PEO1HEYA8]

2022-05-08 | GSE201917 | GEO

3D genome organization in the epithelial-mesenchymal transition spectrum [Hi-C]

2022-05-08 | GSE201878 | GEO

Single-cell transcriptome analysis revealed continuous changes in molecular phenotypes during epithelial-to-mesenchymal transition

Project description:Many genes involved in epithelial-to-mesenchymal transition (EMT) have been identified to date, but mechanisms contributing to the phenotypic diversity and those governing the coupling between the dynamics of epithelial genes and that of the mesenchymal genes are unclear. In this study, we employed single-cell transcriptome analysis to study the gene expression changes during dynamic E-to-M transition. Dose-dependent response to TGFbeta signal suggested that gene expression patterns between E and M states are rather continuous unlike binary switching between two discrete populations. E and M genes can be classified into several subclusters based on expression correlation and it turned out that some E and M genes are mutually exclusive but others are not. Our data suggests that complex and continuous changes in molecular phenotypes occur during EMT at a single-cell level.

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