ArticlePloS one2013
Dynamic transcription factor networks in epithelial-mesenchymal transition in breast cancer models.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Article
- Cyclin E overexpression confers resistance to trastuzumab through noncanonical phosphorylation of SMAD3 in HER2+ breast cancer.Cancer biology & therapy · 2020Article
- Adrenergic Blockade Promotes Maintenance of Dormancy in Prostate Cancer Through Upregulation of GAS6.Translational oncology · 2020Article
- Identification of a Subtype of Poorly Differentiated Invasive Ductal Carcinoma of the Breast Based on Vimentin and E-cadherin Expression.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2018Article
- Dynamic microRNA activity identifies therapeutic targets in trastuzumab-resistant HER2Biotechnology and bioengineering · 2018Article
- Design of Large-Scale Reporter Construct Arrays for Dynamic, Live Cell Systems Biology.ACS synthetic biology · 2018Article
- Embryonic stem cell secreted factors decrease invasiveness of triple-negative breast cancer cells through regulome modulation.Cancer biology & therapy · 2018Article
- Synergistic effect of eribulin and CDK inhibition for the treatment of triple negative breast cancer.Oncotarget · 2017Article
- Systems analysis of dynamic transcription factor activity identifies targets for treatment in Olaparib resistant cancer cells.Biotechnology and bioengineering · 2017Article
- Gene regulatory network underlying the immortalization of epithelial cells.BMC systems biology · 2017Article
- Somatic polyploidy is associated with the upregulation of c-MYC interacting genes and EMT-like signature.Oncotarget · 2016Article
- Dynamic transcription factor activity networks in response to independently altered mechanical and adhesive microenvironmental cues.Integrative biology : quantitative biosciences from nano to macro · 2016Article
- Plakophilin-2 loss promotes TGF-β1/p38 MAPK-dependent fibrotic gene expression in cardiomyocytes.The Journal of cell biology · 2016Article
- Secretome identification of immune cell factors mediating metastatic cell homing.Scientific reports · 2015Article
- Article
- Article
- Sub-circuits of a gene regulatory network control a developmental epithelial-mesenchymal transition.Development (Cambridge, England) · 2014Article
- Inhibition of CDK-mediated phosphorylation of Smad3 results in decreased oncogenesis in triple negative breast cancer cells.Cell cycle (Georgetown, Tex.) · 2014Article
- Cancer Invasion: Patterns and Mechanisms.Acta naturaeArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The epithelial-mesenchymal transition (EMT) is a complex change in cell differentiation that allows breast carcinoma cells to acquire invasive properties. EMT involves a cascade of regulatory changes that destabilize the epithelial phenotype and allow mesenchymal features to manifest. As transcription factors (TFs) are upstream effectors of the genome-wide expression changes that result in phenotypic change, understanding the sequential changes in TF activity during EMT provides rich information on the mechanism of this process. Because molecular interactions will vary as cells progress from an epithelial to a mesenchymal differentiation program, dynamic networks are needed to capture the changing context of molecular processes. In this study we applied an emerging high-throughput, dynamic TF activity array to define TF activity network changes in three cell-based models of EMT in breast cancer based on HMLE Twist ER and MCF-7 mammary epithelial cells. The TF array distinguished conserved from model-specific TF activity changes in the three models. Time-dependent data was used to identify pairs of TF activities with significant positive or negative correlation, indicative of interdependent TF activity throughout the six-day study period. Dynamic TF activity patterns were clustered into groups of TFs that change along a time course of gene expression changes and acquisition of invasive capacity. Time-dependent TF activity data was combined with prior knowledge of TF interactions to construct dynamic models of TF activity networks as epithelial cells acquire invasive characteristics. These analyses show EMT from a unique and targetable vantage and may ultimately contribute to diagnosis and therapy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.