Dataset Information

Angiogenesis course

ABSTRACT: This is a time course experiment with 4 - 6 slides per time point where all samples were hybridised to time zero. The microarray slides were scanned using a GenePix 4000B Scanner (Axon Instruments, Foster City, CA, USA). The “SPOT” software package (CSIRO) was used to identify spots and subtract backgrounds. The extracted information was normalised using the “Statistics in Microarray Analysis" (SMA) open source R package. Scaled print tip group lowes normalisation was performed for each slide and replicate slides were scaled to each other. The cDNAs used in this microarray were identified as part of collaborative project between the IMVS and Bionomics Limited. The project aims were to identify genes up-regulated during in vitro capillary tube formation as targets for angiogenesis-based therapeutics. Any requests for further information regarding the data generated from this collaboration should be directed to Bionomics Limited (www.bionomics.com.au) at the following address: Bionomics Limited 31 Dalgleish Street Thebarton, South Australia Australia, 5031 Phone: 618 8354 6104 Fax: 618 8354 6199 Email: busdev@bionomics.com.au This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE779 | GEO | 2003/11/25

SECONDARY ACCESSION(S): PRJNA87739

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Aims of study: (1) To identify systemic differences in osteoarthritic (OA) bone that contribute to OA pathogenesis. (2) Identify novel osteoporotic (OP) bone-related disease genes. Study involved comparison of trabecular bone extracted from the intertrochanteric (IT) region of the proximal femur (PF) from OA, OP and normal/control (CTL) individuals. Bone was obtained from OA and OP individuals at surgery for total hip replacement and from CTL individuals at autopsy. Keywords: Bone tissue comparison, diseased versus non-diseased, factorial design, linear modelling Four sets of sample comparisons (39 comparisons in total) were made in this study. These comprised 10 OA-CTL female, 10 OA-CTL male, 10 OA-OP female and 9 OP-CTL female comparisons. A Compugen Human 19K-oligo library spotted onto glass slides by the Adelaide Microarray facility (AMF) was used in this study. The slides were interrogated by competitive hybridisation of Cy3 and Cy5 labelled pairs of OA-CTL, OA-OP or OP-CTL amplified RNA samples. Sample pairs were age-matched as closely as possible. A biological dye-swap strategy was employed. After hybridisation and washing of the slides they were scanned using a GenePix 4000B Scanner driven by GenePix Pro 4.0. All analyses were performed using the statistical programming and graphics environment R. The “SPOT” software package was used to identify spots by adaptive segmentation method and subtract backgrounds utilising morphological opening approach. Data analysis was performed in R using Bioconductor. Loess print tip method was used to correct for dye-bias and intensity within each group of adjacent spots printed by one pin. Linear modelling was performed with the Limma package of Bioconductor. Linear models were used to incorporate all available data into a single analysis. This allowed the use of both direct and indirect comparisons in calculation of expression ratios as well as improved accuracy in estimation of variance for each gene. Factorial design utilised the following factors: medical condition (OA or OP or CTL); sex (male or female) for OA patients only.

Project description:To identify potential dysregulation of miRNA expression in plasmacytoid dendritic cells from Systemic Sclerosis patients (SSc), miRNA profiling was performed in pDCs from healthy donors or patients with the most severe fibrotic cutaneous form of SSc, namely in dcSSc, with either disease duration shorter (edcSSc) or longer than two years (ldcSSc). Plasmacytoid dendritic cells (pDCs) are a critical source of type I interferons (IFNs) that can contribute to the onset and maintenance of autoimmunity. Molecular mechanisms leading to pDC dysregulation and persistent type I IFN signature are largely unexplored, especially in systemic sclerosis (SSc), a disease in which pDCs infiltrate fibrotic skin lesions and produce higher levels of IFNa as compared to healthy controls. To investigate potential microRNA–mediated epigenetic mechanisms underlying pDC dysregulation and type I IFN production in SSc. microRNA expression profiling and validation was performed in highly purified pDCs obtained from the peripheral blood of 3 independent cohorts of healthy controls and SSc patients. Possible functions of miR-618 on pDC biology were identified by overexpression in healthy pDCs. miR-618 expression was upregulated in pDCs of SSc patients, including those in the early stage of disease onset and not presenting with skin fibrosis. IRF8, a crucial transcription factor for pDC development and activation, was identified as a target of miR-618. miR-618 overexpression reduced the development of pDCs from CD34+ cells in-vitro and enhanced their ability to secrete IFNα, mimicking the pDC phenotype observed in SSc patients. miR-618 upregulation suppresses pDC development and increases their ability to secrete IFNα, potentially contributing to the type I IFN signature observed in SSc patients. Considering the importance of pDCs in the pathogenesis of SSc and other diseases characterized by a type I IFN signature, miR-618 potentially represents an important epigenetic target to regulate immune system homeostasis in these conditions.

Dataset Information

Angiogenesis course

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure