Perturbation-Expression Analysis Identifies RUNX1 as a Regulator of Human Mammary Stem Cell Differentiation

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 o...

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Bibliographic Details
Main Authors: Sanduja, Sandhya (Author), Jin, Dexter X. (Contributor), Sokol, Ethan Samuel (Contributor), Miller, Daniel Handel (Contributor), Mathis, Robert Austin (Contributor), Gupta, Piyush (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Whitehead Institute for Biomedical Research (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2015-05-29T12:45:37Z.
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Online Access:Get fulltext
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100 1 0 |a Sanduja, Sandhya  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Biology  |e contributor 
100 1 0 |a Whitehead Institute for Biomedical Research  |e contributor 
100 1 0 |a Koch Institute for Integrative Cancer Research at MIT  |e contributor 
100 1 0 |a Sokol, Ethan Samuel  |e contributor 
100 1 0 |a Jin, Dexter X.  |e contributor 
100 1 0 |a Miller, Daniel Handel  |e contributor 
100 1 0 |a Mathis, Robert Austin  |e contributor 
100 1 0 |a Gupta, Piyush  |e contributor 
700 1 0 |a Jin, Dexter X.  |e author 
700 1 0 |a Sokol, Ethan Samuel  |e author 
700 1 0 |a Miller, Daniel Handel  |e author 
700 1 0 |a Mathis, Robert Austin  |e author 
700 1 0 |a Gupta, Piyush  |e author 
245 0 0 |a Perturbation-Expression Analysis Identifies RUNX1 as a Regulator of Human Mammary Stem Cell Differentiation 
260 |b Public Library of Science,   |c 2015-05-29T12:45:37Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/97104 
520 |a 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. 
520 |a National Science Foundation (U.S.). Graduate Research Fellowship (1122374) 
520 |a Smith Family Foundation 
520 |a Breast Cancer Alliance 
546 |a en_US 
655 7 |a Article 
773 |t PLOS Computational Biology