PLoS Computational Biology · 2015 · 27 citations · 28 references
Life SciencesCell BiologyDevelopmental BiologyMorphogenesisStem Cell BiologyTranscriptional RegulationCell Differentiation ControlCell Fate DeterminationCell Lineage SpecificationMammary Gland DevelopmentMammary Stem Cell BiologyStem Cell DifferentiationDevelopmental Cell StatesDevelopmental Transcription FactorsEpithelial Tissue MorphogenesisMammary Branching MorphogenesisMammary Gland MorphogenesisMammary MorphogenesisRunx1-dependent DifferentiationStem Cell Differentiation Models
The search for genes that regulate stem cell self-renewal and differentiation has been hindered by a paucity of markers that uniquely label stem cells and early progenitors. To circumvent this difficulty we have developed a method that identifies cell-state regulators without requiring any markers of differentiation, termed Perturbation-Expression Analysis of Cell States (PEACS). We have applied this marker-free approach to screen for transcription factors that regulate mammary stem cell differentiation in a 3D model of tissue morphogenesis and identified RUNX1 as a stem cell regulator. Inhibition of RUNX1 expanded bipotent stem cells and blocked their differentiation into ductal and lobular tissue rudiments. Reactivation of RUNX1 allowed exit from the bipotent state and subsequent differentiation and mammary morphogenesis. Collectively, our findings show that RUNX1 is required for mammary stem cells to exit a bipotent state, and provide a new method for discovering cell-state regulators when markers are not available.
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Molecular portraits of human breast tumours
Charles M. Perou, Thérese Sørlie, Michael B. Eisen et al. · Nature · 2000 · 16.3K citations
Comprehensive molecular portraits of human breast tumours