Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways.
Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response programme. We tested the hypothesis that a serum response programme can be used to classify diseased tissues, and...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0120917 |
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| author | Andrew Filer Philipp Antczak Greg N Parsonage Holly M Legault Margot O'Toole Mark J Pearson Andrew M Thomas Dagmar Scheel-Toellner Karim Raza Christopher D Buckley Francesco Falciani |
| author_facet | Andrew Filer Philipp Antczak Greg N Parsonage Holly M Legault Margot O'Toole Mark J Pearson Andrew M Thomas Dagmar Scheel-Toellner Karim Raza Christopher D Buckley Francesco Falciani |
| author_sort | Andrew Filer |
| collection | DOAJ |
| description | Synovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response programme. We tested the hypothesis that a serum response programme can be used to classify diseased tissues, and investigated the serum response programme in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including rheumatoid arthritis (RA), osteoarthritis (OA) and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response programme discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through _3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts. |
| format | Article |
| id | doaj-art-e27e205633494cda815af25738c13856 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-e27e205633494cda815af25738c138562025-08-20T02:34:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01103e012091710.1371/journal.pone.0120917Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways.Andrew FilerPhilipp AntczakGreg N ParsonageHolly M LegaultMargot O'TooleMark J PearsonAndrew M ThomasDagmar Scheel-ToellnerKarim RazaChristopher D BuckleyFrancesco FalcianiSynovial fibroblasts in persistent inflammatory arthritis have been suggested to have parallels with cancer growth and wound healing, both of which involve a stereotypical serum response programme. We tested the hypothesis that a serum response programme can be used to classify diseased tissues, and investigated the serum response programme in fibroblasts from multiple anatomical sites and two diseases. To test our hypothesis we utilized a bioinformatics approach to explore a publicly available microarray dataset including rheumatoid arthritis (RA), osteoarthritis (OA) and normal synovial tissue, then extended those findings in a new microarray dataset representing matched synovial, bone marrow and skin fibroblasts cultured from RA and OA patients undergoing arthroplasty. The classical fibroblast serum response programme discretely classified RA, OA and normal synovial tissues. Analysis of low and high serum treated fibroblast microarray data revealed a hierarchy of control, with anatomical site the most powerful classifier followed by response to serum and then disease. In contrast to skin and bone marrow fibroblasts, exposure of synovial fibroblasts to serum led to convergence of RA and OA expression profiles. Pathway analysis revealed three inter-linked gene networks characterising OA synovial fibroblasts: Cell remodelling through insulin-like growth factors, differentiation and angiogenesis through _3 integrin, and regulation of apoptosis through CD44. We have demonstrated that Fibroblast serum response signatures define disease at the tissue level, and that an OA specific, serum dependent repression of genes involved in cell adhesion, extracellular matrix remodelling and apoptosis is a critical discriminator between cultured OA and RA synovial fibroblasts.https://doi.org/10.1371/journal.pone.0120917 |
| spellingShingle | Andrew Filer Philipp Antczak Greg N Parsonage Holly M Legault Margot O'Toole Mark J Pearson Andrew M Thomas Dagmar Scheel-Toellner Karim Raza Christopher D Buckley Francesco Falciani Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. PLoS ONE |
| title | Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. |
| title_full | Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. |
| title_fullStr | Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. |
| title_full_unstemmed | Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. |
| title_short | Stromal transcriptional profiles reveal hierarchies of anatomical site, serum response and disease and identify disease specific pathways. |
| title_sort | stromal transcriptional profiles reveal hierarchies of anatomical site serum response and disease and identify disease specific pathways |
| url | https://doi.org/10.1371/journal.pone.0120917 |
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