<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>6</volume><submitter>Bidarra SJ</submitter><pubmed_abstract>Epithelial-to-mesenchymal transitions (EMT) are strongly implicated in cancer dissemination. Intermediate states, arising from inter-conversion between epithelial (E) and mesenchymal (M) states, are characterized by phenotypic heterogeneity combining E and M features and increased plasticity. Hybrid EMT states are highly relevant in metastatic contexts, but have been largely neglected, partially due to the lack of physiologically-relevant 3D platforms to study them. Here we propose a new in vitro model, combining mammary E cells with a bioengineered 3D matrix, to explore phenotypic and functional properties of cells in transition between E and M states. Optimized alginate-based 3D matrices provided adequate 3D microenvironments, where normal epithelial morphogenesis was recapitulated, with formation of acini-like structures, similar to those found in native mammary tissue. TGFβ1-driven EMT in 3D could be successfully promoted, generating M-like cells. TGFβ1 removal resulted in phenotypic switching to an intermediate state (RE cells), a hybrid cell population expressing both E and M markers at gene/protein levels. RE cells exhibited increased proliferative/clonogenic activity, as compared to M cells, being able to form large colonies containing cells with front-back polarity, suggesting a more aggressive phenotype. Our 3D model provides a powerful tool to investigate the role of the microenvironment on metastable EMT stages.</pubmed_abstract><journal>Scientific reports</journal><pagination>27072</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4891772</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A 3D in vitro model to explore the inter-conversion between epithelial and mesenchymal states during EMT and its reversion.</pubmed_title><pmcid>PMC4891772</pmcid><pubmed_authors>Bidarra SJ</pubmed_authors><pubmed_authors>Oliveira P</pubmed_authors><pubmed_authors>Barrias CC</pubmed_authors><pubmed_authors>Oliveira C</pubmed_authors><pubmed_authors>Saraiva DP</pubmed_authors><pubmed_authors>Rocha S</pubmed_authors></additional><is_claimable>false</is_claimable><name>A 3D in vitro model to explore the inter-conversion between epithelial and mesenchymal states during EMT and its reversion.</name><description>Epithelial-to-mesenchymal transitions (EMT) are strongly implicated in cancer dissemination. Intermediate states, arising from inter-conversion between epithelial (E) and mesenchymal (M) states, are characterized by phenotypic heterogeneity combining E and M features and increased plasticity. Hybrid EMT states are highly relevant in metastatic contexts, but have been largely neglected, partially due to the lack of physiologically-relevant 3D platforms to study them. Here we propose a new in vitro model, combining mammary E cells with a bioengineered 3D matrix, to explore phenotypic and functional properties of cells in transition between E and M states. Optimized alginate-based 3D matrices provided adequate 3D microenvironments, where normal epithelial morphogenesis was recapitulated, with formation of acini-like structures, similar to those found in native mammary tissue. TGFβ1-driven EMT in 3D could be successfully promoted, generating M-like cells. TGFβ1 removal resulted in phenotypic switching to an intermediate state (RE cells), a hybrid cell population expressing both E and M markers at gene/protein levels. RE cells exhibited increased proliferative/clonogenic activity, as compared to M cells, being able to form large colonies containing cells with front-back polarity, suggesting a more aggressive phenotype. Our 3D model provides a powerful tool to investigate the role of the microenvironment on metastable EMT stages.</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Jun</publication><modification>2025-04-25T19:11:59.168Z</modification><creation>2019-03-27T02:15:15Z</creation></dates><accession>S-EPMC4891772</accession><cross_references><pubmed>27255191</pubmed><doi>10.1038/srep27072</doi></cross_references></HashMap>