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Expression data in lung of mice bearing inducible FGF18 transgene

ABSTRACT: Better understanding alveolarization mechanisms could help improving prevention and treatment of diseases characterized by reduced alveolar number, especially bronchopulmonary dysplasia (BPD). Although signaling through fibroblast growth factor (FGF) receptors is essential for alveolarization, involved ligands are unidentified. FGF18 whose expression peaks during alveolar septation is likely to be involved. Herein, a mouse model of inducible, lung-targeted FGF18-transgene was used to advance the onset of FGF18 expression, and genome-wide expression changes were determined. keywords: transgenic mice, alveolarization, angiogenesis, fibrosis, epithelial-mesenchymal transition.

ORGANISM(S): Mus musculus

PROVIDER: GSE22283 | GEO | 2011/07/06

SECONDARY ACCESSION(S): PRJNA127427

REPOSITORIES: GEO

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expression data in lung of mice bearing inducible FGF18 transgene

Project description:Better understanding alveolarization mechanisms could help improving prevention and treatment of diseases characterized by reduced alveolar number, especially bronchopulmonary dysplasia (BPD). Although signaling through fibroblast growth factor (FGF) receptors is essential for alveolarization, involved ligands are unidentified. FGF18 whose expression peaks during alveolar septation is likely to be involved. Herein, a mouse model of inducible, lung-targeted FGF18-transgene was used to advance the onset of FGF18 expression, and genome-wide expression changes were determined. keywords: transgenic mice, alveolarization, angiogenesis, fibrosis, epithelial-mesenchymal transition. Four pairs of simple and double transgenic pups issued from 4 different litters were selected on the basis of FGF18 transgene induction. RNA from the mice lung were extracted and hybridized on Affymetrix microarrays.

2011-07-05 | E-GEOD-22283 | biostudies-arrayexpress

Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia

Project description:Current techniques to diagnose and/or monitor critically ill neonates with bronchopulmonary dysplasia (BPD) require invasive sampling of body fluids, which can affect the health status of these frail neonate. We tested our hypotheses 1) it is feasible to use early urine samples from extremely low gestational age newborns at risk for bronchopulmonary dysplasia for proteomics, and 2) urine proteomics can confirm previously identified proteins and biomarkers associated with BPD without invasive sample collection. We developed a robust high throughput urine proteomics methodology that requires only 50 microliters of urine. We validated the methodology on urine collected within 72 hours of birth. Urine samples were collected from extremely low gestational age newborns (ELGANS) (gestational age (26 + 1.2) weeks) admitted to a single Neonatal Intensive Care Unit(NICU); half of whom eventually developed BPD, while the other half served as controls. Our high throughput urine proteomics approach clearly identified several BPD-associated changes in the urine proteome recapitulating expected blood proteome changes. Interestingly, sixteen identified urinary proteins are known targets of drugs approved by the Food and Drug Administration (FDA). Urine proteomics can be used for prediction of BPD risk. In addition to identifying numerous proteins implicated in BPD pathophysiology, previously found in invasively collected blood, tracheal aspirate, and broncho-alveolar lavage, urine proteomics also suggested novel potential therapeutic targets. Ease of access to urine for sequential proteomic evaluations could also allow for longitudinal monitoring of disease progression and impact of therapeutic intervention.

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Fgf18 regulates hair cycle

Project description:Fgf18 gene is strongly expressed in hair follicles of mouse dorsal skin during regressing (catagen) and resting (telogen) phases of hair cycle, but not in growth (anagen) phase. This study aims at identifying the function of Fgf18 in the regulation of hair cycle. To define target genes of Fgf18 during telogen phase of hair cycle, we generated mice in which Fgf18 gene is conditionally knocked out in keratin 5-positive epithelial cells (referred to as Fgf18 cKO below). We carried out microarray experiments with mouse back skin samples harboring telogen hair follicles obtained from three 42-d-old Fgf18 cKO male mice, or from three 42-d-old C57BL/6 male mice as control. Total RNA was isolated from each mouse and further purified to polyA RNA using oligo dT30 columns. The RNA samples were pooled for each group. Gene expression was analyzed by one-color analysis using duplicate arrays for each group.

2017-05-15 | E-GEOD-29547 | biostudies-arrayexpress

FGF18 affects hair cycle.

Project description:Fgf18 gene is strongly expressed in hair follicles of mouse dorsal skin during regressing (catagen) and resting (telogen) phases of hair cycle, but not in growth (anagen) phase. This study aims at identifying the effects of FGF18 local delivery on the anagen phase of hair cycle. To define genes affected by local delivery of FGF18 during anagen phase of hair cycle, we injected FGF18 protein subcutaneously into back skin of C3H/HeN mice on day 4 of depilation-induced anagen. As control PBS was injected in place of FGF18. After 24 h (61-d-old), total RNA was isolated from the back skin and purified to poly A RNA. The RNA samples were pooled for each group. Gene expression was analyzed by one-color analysis using single array for each group.

2017-05-15 | E-GEOD-29546 | biostudies-arrayexpress

Fgf18 regulates hair cycle

2017-05-15 | GSE29547 | GEO

FGF18 affects hair cycle.

2017-05-15 | GSE29546 | GEO

Bovine granulosa cell response to FGF18

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2013-10-10 | GSE41480 | GEO

Expression data of A224 cell with ectopic overexpression of FGF18 and RFP

Project description:We have identified the overexpression of FGF18 as an independent predictive marker for poor clinical outcome in patients with advanced stage, high-grade serous ovarian cancer. Functional studies have demonstrated that FGF18 promotes migration, invasion and tumorigenicity of ovarian cancer cells in vitro and in vivo. To identify the FGF18 responsive genes contributing its biologic effects on ovarian tumorigenesis, we performed gene expression profiling in ovarian cancer cell line A224 with ectopic overexpression of FGF18 or RFP (as control). Microarrays were completed using total genomic DNA free RNA extracted from three independent paired cultures of A224 cells overexpressing FGF18 or RFP.

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Bovine granulosa cell response to FGF18

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