Douglas G. Brownfield

Affiliations: 
2011 Bioengineering University of California, Berkeley, Berkeley, CA, United States 
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"Douglas Brownfield"

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Daniel A. Fletcher grad student 2011 UC Berkeley
 (Characterization of the Interface between the Mouse Mammary Epithelium and its Microenvironment during Morphogenesis.)
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Publications

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Brownfield DG, de Arce AD, Ghelfi E, et al. (2022) Alveolar cell fate selection and lifelong maintenance of AT2 cells by FGF signaling. Nature Communications. 13: 7137
Ricca BL, Venugopalan G, Furuta S, et al. (2018) Transient external force induces phenotypic reversion of malignant epithelial structures via nitric oxide signaling. Elife. 7
Nabhan A, Brownfield DG, Harbury PB, et al. (2018) Single-cell Wnt signaling niches maintain stemness of alveolar type 2 cells. Science (New York, N.Y.)
Ricca BL, Venugopalan G, Furuta S, et al. (2018) Author response: Transient external force induces phenotypic reversion of malignant epithelial structures via nitric oxide signaling Elife
Nam S, Lee J, Brownfield DG, et al. (2016) Viscoplasticity Enables Mechanical Remodeling of Matrix by Cells. Biophysical Journal. 111: 2296-2308
Vaughan AE, Brumwell AN, Xi Y, et al. (2015) Lineage-negative progenitors mobilize to regenerate lung epithelium after major injury. Nature. 517: 621-5
Treutlein B, Brownfield DG, Wu AR, et al. (2014) Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature. 509: 371-5
Desai TJ, Brownfield DG, Krasnow MA. (2014) Alveolar progenitor and stem cells in lung development, renewal and cancer. Nature. 507: 190-4
Brownfield DG, Venugopalan G, Lo A, et al. (2013) Patterned collagen fibers orient branching mammary epithelium through distinct signaling modules. Current Biology : Cb. 23: 703-9
Alcaraz J, Mori H, Ghajar CM, et al. (2011) Collective epithelial cell invasion overcomes mechanical barriers of collagenous extracellular matrix by a narrow tube-like geometry and MMP14-dependent local softening. Integrative Biology : Quantitative Biosciences From Nano to Macro. 3: 1153-66
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