Signaling network state predicts twist-mediated effects on breast cell migration across diverse growth factor contexts.

Kim, Hyung-Do; Meyer, Aaron S; Wagner, Joel P; Alford, Shannon K; Wells, Alan; Gertler, Frank B; Lauffenburger, Douglas A

Kim, Hyung-Do; Meyer, Aaron S; Wagner, Joel P; Alford, Shannon K; Wells, Alan; Gertler, Frank B; Lauffenburger, Douglas A.

Affiliation

Kim HD; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge MA 02139, USA.

Mol Cell Proteomics ; 10(11): M111.008433, 2011 Nov.

Article in En | MEDLINE | ID: mdl-21832255

Subject(s)

Breast/cytology; Cell Movement; Intercellular Signaling Peptides and Proteins/physiology; Nuclear Proteins/metabolism; Signal Transduction; Twist-Related Protein 1/metabolism; Cell Line; Computer Simulation; Epithelial Cells/metabolism; Epithelial Cells/physiology; Epithelial-Mesenchymal Transition; ErbB Receptors/metabolism; Female; Humans; Intercellular Signaling Peptides and Proteins/pharmacology; Intracellular Signaling Peptides and Proteins/metabolism; Least-Squares Analysis; Models, Biological; Multivariate Analysis; Phenotype; Phosphorylation; Protein Interaction Maps

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Full text: 1 Database: MEDLINE Main subject: Breast / Nuclear Proteins / Signal Transduction / Cell Movement / Intercellular Signaling Peptides and Proteins / Twist-Related Protein 1 Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Year: 2011 Type: Article

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