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

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.

GSE143607 Samples

BAM Files Run Accession Number Sample Accession Number Organism Organ/Tissue Dev. Stage Cell Type Sequencer Protocol Assay Type Library Layout Ontology Term Cell Cycle Phase


FASTQC File ID Cell Accession Number FASTQC Report Link No. Sequence Tags

Data Resources

Organism Run Metadata Link Data Repository Link Pubmed Record Link Author Provided Files DAVID Annotation Chart Link DAVID Annotation Table Link Gene Body Coverage Matrix Link PCA Matrix Link Krona Plot Img Link Unmapped Reads Link Expression Correlation