Research Papers:
miR-200c dampens cancer cell migration via regulation of protein kinase A subunits
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Abstract
Florian Christoph Sigloch1,2,*, Ulrike Christina Burk1,3,*, Martin Lothar Biniossek1, Thomas Brabletz4, Oliver Schilling1,3,5
1Institute of Molecular Medicine and Cell Research, Albert-Ludwigs-University Freiburg, Freiburg, Germany
2Faculty of Biology, Albert-Ludwigs-University Freiburg, Freiburg, Germany
3BIOSS Centre for Biological Signaling Studies, University of Freiburg, Freiburg, Germany
4Experimental Medicine I, Nikolaus-Fiebiger-Center for Molecular Medicine, University Erlangen-Nürnberg, Erlangen, Germany
5German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
*These authors have contributed equally to this work
Correspondence to:
Oliver Schilling, e-mail: [email protected]
Keywords: miR-200c, miRNA target cluster, PKA, cofilin, proteomics
Received: February 09, 2015 Accepted: June 19, 2015 Published: June 29, 2015
ABSTRACT
Expression of miR-200c is a molecular switch to determine cellular fate towards a mesenchymal or epithelial phenotype. miR-200c suppresses the early steps of tumor progression by preventing epithelial-mesenchymal transition (EMT) and intravasation of tumor cells. Unraveling the underlying molecular mechanisms might pinpoint to novel therapeutic options. To better understand these mechanisms it is crucial to identify targets of miR-200c. Here, we employ a combination of quantitative proteomic and bioinformatic strategies to identify novel miR-200c targets. We identify and confirm two subunits of the central cellular kinase protein kinase A (PKA), namely PRKAR1A and PRKACB, to be directly regulated by miR-200c. Notably, siRNA-mediated downregulation of both proteins phenocopies the migratory behavior of breast cancer cells after miR-200c overexpression. Patient data from publicly accessible databases supports a miR-200c-PKA axis. Thus, our study identifies the PKA heteroprotein as an important mediator of miR-200c induced repression of migration in breast cancer cells. By bioinformatics, we define a miRNA target cluster consisting of PRKAR1A, PRKAR2B, PRKACB, and COF2, which is targeted by a group of 14 miRNAs.
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