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Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay

The invasion of activated fibroblasts represents a key pathomechanism in fibrotic diseases, carcinogenesis and metastasis. Invading fibroblasts contribute to fibrotic extracellular matrix (ECM) formation and the initiation, progression, or resistance of cancer. To construct transcriptome-wide signat...

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Autores principales: Oehrle, Bettina, Burgstaller, Gerald, Irmler, Martin, Dehmel, Stefan, Grün, Jessica, Hwang, Tiffany, Krauss-Etschmann, Susanne, Beckers, Johannes, Meiners, Silke, Eickelberg, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525140/
https://www.ncbi.nlm.nih.gov/pubmed/26243655
http://dx.doi.org/10.1038/srep12673
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author Oehrle, Bettina
Burgstaller, Gerald
Irmler, Martin
Dehmel, Stefan
Grün, Jessica
Hwang, Tiffany
Krauss-Etschmann, Susanne
Beckers, Johannes
Meiners, Silke
Eickelberg, Oliver
author_facet Oehrle, Bettina
Burgstaller, Gerald
Irmler, Martin
Dehmel, Stefan
Grün, Jessica
Hwang, Tiffany
Krauss-Etschmann, Susanne
Beckers, Johannes
Meiners, Silke
Eickelberg, Oliver
author_sort Oehrle, Bettina
collection PubMed
description The invasion of activated fibroblasts represents a key pathomechanism in fibrotic diseases, carcinogenesis and metastasis. Invading fibroblasts contribute to fibrotic extracellular matrix (ECM) formation and the initiation, progression, or resistance of cancer. To construct transcriptome-wide signatures of fibroblast invasion, we used a multiplex phenotypic 3D invasion assay using lung fibroblasts. Microarray-based gene expression profiles of invading and non-invading fibroblasts demonstrated that 1,049 genes were differentially regulated (>1.5-fold). Unbiased pathway analysis (Ingenuity) identified significant enrichment for the functional clusters ‘invasion of cells’, ‘idiopathic pulmonary fibrosis’, and ‘metastasis’. Matrix metalloprotease 13 (MMP13), transforming growth factor (TGF)-β1, Caveolin (Cav) 1, Phosphatase and Tensin Homolog (Pten), and secreted frizzled-related protein (Sfrp) 1 were among the highest regulated genes, confirmed by qRT-PCR and Western Blotting. We next performed in silico analysis (Ingenuity Pathway Analysis) to predict mediators that induced fibroblast invasion. Of these, TGFβ1, epidermal growth factor (EGF), fibroblast growth factor (FGF) 2, and platelet-derived growth factor (PDGF)-BB were tested in our 3D invasion assay and found to significantly induce invasion, thus validating the transcriptome profile. Accordingly, our transcriptomic invasion signature describes the invading fibroblast phenotype in unprecedented detail and provides a tool for future functional studies of cell invasion and therapeutic modulation thereof using complex phenotypic assays.
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spelling pubmed-45251402015-08-06 Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay Oehrle, Bettina Burgstaller, Gerald Irmler, Martin Dehmel, Stefan Grün, Jessica Hwang, Tiffany Krauss-Etschmann, Susanne Beckers, Johannes Meiners, Silke Eickelberg, Oliver Sci Rep Article The invasion of activated fibroblasts represents a key pathomechanism in fibrotic diseases, carcinogenesis and metastasis. Invading fibroblasts contribute to fibrotic extracellular matrix (ECM) formation and the initiation, progression, or resistance of cancer. To construct transcriptome-wide signatures of fibroblast invasion, we used a multiplex phenotypic 3D invasion assay using lung fibroblasts. Microarray-based gene expression profiles of invading and non-invading fibroblasts demonstrated that 1,049 genes were differentially regulated (>1.5-fold). Unbiased pathway analysis (Ingenuity) identified significant enrichment for the functional clusters ‘invasion of cells’, ‘idiopathic pulmonary fibrosis’, and ‘metastasis’. Matrix metalloprotease 13 (MMP13), transforming growth factor (TGF)-β1, Caveolin (Cav) 1, Phosphatase and Tensin Homolog (Pten), and secreted frizzled-related protein (Sfrp) 1 were among the highest regulated genes, confirmed by qRT-PCR and Western Blotting. We next performed in silico analysis (Ingenuity Pathway Analysis) to predict mediators that induced fibroblast invasion. Of these, TGFβ1, epidermal growth factor (EGF), fibroblast growth factor (FGF) 2, and platelet-derived growth factor (PDGF)-BB were tested in our 3D invasion assay and found to significantly induce invasion, thus validating the transcriptome profile. Accordingly, our transcriptomic invasion signature describes the invading fibroblast phenotype in unprecedented detail and provides a tool for future functional studies of cell invasion and therapeutic modulation thereof using complex phenotypic assays. Nature Publishing Group 2015-08-05 /pmc/articles/PMC4525140/ /pubmed/26243655 http://dx.doi.org/10.1038/srep12673 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Oehrle, Bettina
Burgstaller, Gerald
Irmler, Martin
Dehmel, Stefan
Grün, Jessica
Hwang, Tiffany
Krauss-Etschmann, Susanne
Beckers, Johannes
Meiners, Silke
Eickelberg, Oliver
Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay
title Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay
title_full Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay
title_fullStr Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay
title_full_unstemmed Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay
title_short Validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3D invasion assay
title_sort validated prediction of pro-invasive growth factors using a transcriptome-wide invasion signature derived from a complex 3d invasion assay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525140/
https://www.ncbi.nlm.nih.gov/pubmed/26243655
http://dx.doi.org/10.1038/srep12673
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