Unknown,Transcriptomics,Genomics,Proteomics

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MiRNA profile of WI-38 cells and their progressively transformed derivatives

ABSTRACT: microRNA array of 4 cell lines: WI-38 primary fibroblasts (â??Controlâ??), slow growers (early passage after immortalization, Slow), fast growers (extensive passaging after immortalization) and fast growers transformed by constitutively activated mutant H-RasV12 (â??Rasâ??) WI-38 cells were grown in 37Â° in MEM supplemented with 10% non-heat-inactivated fetal bovine serum (Sigma), pen-strep, sodium pyruvate, L-glutamine solution (Beit HaEmek). RNA was extracted using Nucleospin miRNA kit (Macherey-Nagel), according to manufacturerâ??s instructions. microRNA array analysis was done in duplicates, using the miRNA Complete Labeling and Hyb Kit (Agilent, 5190-0456) according to the manufacturer's instructions. Briefly, for each sample 100ng RNA was dephosphorylated, denatured, labeled with Cyanine 3-pCp and purified using Micro Bio-Spin 6 Columns. Hybridization was done for 20h with Agilent SurePrint G3 Unrestricted miRNA 8x60K (Release 19.0) arrays. Arrays were scanned using an Agilent DNA microarray scanner, and analyzed using the AgiMicroRna package in R with the RMA algorithm. The function filterMicroRna was applied with the following parameters: control = TRUE, IsGeneDetected = TRUE, wellaboveNEG = TRUE, limIsGeneDetected = 50 and limNEG = 25.

ORGANISM(S): Homo sapiens

SUBMITTER: Yonit Hoffman

PROVIDER: E-GEOD-77338 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background: Myofibroblasts (MYFs) are generally considered the principal culprits in excessive extracellular matrix deposition and scar formation in the pathogenesis of lung fibrosis. Lipofibroblasts (LIFs), on the other hand, are defined by their lipid-storing capacity and are predominantly found in the alveolar regions of the lung. They have been proposed to play a protective role in lung fibrosis. We previously reported that a LIF to MYF reversible differentiation switch occurred during fibrosis formation and resolution. In this study, we tested whether WI-38 cells, a human embryonic lung fibroblast cell line, could be used to study fibroblast differentiation towards the LIF or MYF phenotype and whether this could be relevant for idiopathic pulmonary fibrosis (IPF). Methods: using WI-38 cells, MYF differentiation was triggered using TGF-β1 treatment and LIF differentiation using Metformin treatment. We analyzed the LIF to MYF and MYF to LIF differentiation by pre-treating the WI-38 cells with TGF-β1 or Metformin first, followed by treatment with Metformin and TGF-β1, respectively. We used IF, qPCR and bulk RNA-Seq to analyze the phenotypic and transcriptomic changes in the cells. We correlated our in vitro transcriptome data from WI-38 cells (obtained via bulk RNA sequencing) with the transcriptomic signature of LIFs and MYFs derived from the IPF cell atlas as well as with our own single-cell transcriptomic data from IFP patients-derived lung fibroblasts (LF-IPF) cultured in vitro. We also carried out alveolosphere assays to evaluate the ability of the proposed LIF and MYF cells to support the growth of alveolar epithelial type 2 cells. Results: WI-38 and LF-IPF display similar phenotypical and gene expression responses to TGF-β1 and Metformin treatment. Bulk RNA-Seq analysis of WI-38 and LF-IPF treated with TGF-β1, or Metformin indicate similar transcriptomic changes. We also show the partial conservation of the LIF and MYF signature extracted from the Habermann et al. scRNA-seq dataset in WI-38 cells treated with Metformin or TGF-β1, respectively. Alveolosphere assays indicate that LIFs enhance organoid growth, while MYFs inhibit organoid growth. Finally, we provide evidence supporting the LIF to MYF reversible switch using WI-38 cells. Conclusions: WI-38 cells represent a versatile and reliable model to study the intricate dynamics of fibroblast differentiation towards the MYF or LIF phenotype associated with lung fibrosis formation and resolution, providing valuable insights to drive future research

Project description:Recurrent hepatitis C virus (rHCV) is universal post-liver transplantation (LT), with accelerated fibrosis rates compared to non-transplanted patients. rHCV is associated with increased mortality and morbidity post-transplant and is a leading indication for re-transplantation. We hypothesized that miRNA expression profiles from liver grafts can distinguish severity of HCV recurrence and differentiate this from acute cellular rejection (ACR). Methods Using microarrays, we characterized global microRNA (miRNA) expression from patients with slow HCV fibrosis progression (F<2 Ishak), fast HCV fibrosis progression (FM-bM-^IM-%2 Ishak), ACR and non-HCV transplanted patients. Selected miRNA were analysed by quantitative PCR (qPCR) using both liver tissue and serum samples. Results We demonstrated changes in miRNA expression in patients with slow HCV fibrosis progression that were anti-fibrogenic, anti-angiogenic and anti-inflammatory in comparison to patients with fast HCV fibrosis progression. miRNA-146a, miRNA-19a, miRNA- 20a and miRNA-let-7e expression were increased in the slow HCV fibrosis progression group. In addition, comparison of patients with fast HCV progression against patients with ACR identified pro-fibrogenic pathways. qPCR analysis on liver tissue and serum confirmed the up-regulation of miRNAs in the slow HCV fibrosis progression group. Conclusion We demonstrate specific miRNA expression signatures that distinguish rate of progression of HCV recurrence and ACR post M-bM-^@M-^Sliver transplantation. Pathway analysis indicates that specific miRNA may play a regulatory role in these processes. The miRNAs identified may act as potential biomarkers for HCV recurrence post-LT and help distinguish between ACR and recurrent HCV. We compared 29 patients in total; 11 patients with slow HCV fibrosis progression, 9 patients with fast HCV fibrosis progression, 5 patients with acute cellular rejection and 4 HCV negative patients with normal liver histology that acted as controls. RNA was extracted from archived histology samples of the RG and NRG and miRNA expression was analysed using the affymetrix Genechip miRNA 2.0 assays.

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MiRNA profile of WI-38 cells and their progressively transformed derivatives

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