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Different levels of Twist1 regulate skin tumor initiation, stemness, and progression.

Cell stem cell | 2015

Twist1 promotes epithelial-to-mesenchymal transition (EMT), invasion, metastasis, and cancer stem cell (CSC) properties. However, it remains unclear whether Twist1 is also required for tumor initiation and whether Twist1-induced cancer stemness and EMT are functionally linked. Using a conditional deletion of Twist1 at different stages of skin carcinogenesis, we show that Twist1 is required for skin tumor initiation and progression in a gene-dosage-dependent manner. Moreover, conditional ablation of Twist1 in benign tumors leads to increased apoptosis, reduced cell proliferation, and defective tumor maintenance and propagation independently of its EMT-inducing abilities. Concomitant deletion of Twist1 and p53 rescues the apoptotic response, but not the cell proliferation and propagation defects. These results reveal that Twist1 is required for tumor initiation and maintenance in a p53-dependent and -independent manner. Importantly, our findings also indicate that tumor stemness and EMT can be regulated by distinct mechanisms.

Pubmed ID: 25575080 RIS Download

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Primer-BLAST (tool)

RRID:SCR_003095

A tool to design target-specific primers for polymerase chain reaction (PCR). It uses Primer3 to design PCR primers and then uses BLAST and global alignment algorithm to screen primers against user-selected database in order to avoid primer pairs (all combinations including forward-reverse primer pair, forward-forward as well as reverse-reverse pairs) that can cause non-specific amplifications.

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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