Whole blood transcriptional analysis of vaccine combination administration in infants
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Paul Dickinson
PROVIDER: E-GEOD-83951 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:We aimed to identify the gene network and pathway biology associated with neonatal sepsis by determining genome-wide alterations in host RNA in infected infants Samples were obtained from control and infected human neonates.
2014-08-12 | E-GEOD-25504 | biostudies-arrayexpress
Project description:Here we demonstrate for the first time evidence of lineage switch from B-1 B lymphocyte to a macrophage , or so-called transdifferentiation, occurring in mature cells in vivo. Specifically, using transgenic B6.Mb1-iCre/Rosa26-YFP mice, in which YFP expression is restricted exclusively to B cell lineage, we discovered that a significant portion of tissue-resident macrophages in peritoneum, pleural cavity and intestine in steady state are positive for YFP. B cell origin of YFP+ macrophages was confirmed by next-generation sequencing of genomic DNA locus encoding immunoglobulin heavy chain genes. Eliciting a self-resolving zymosan peritonitis showed that during inflammation a subset of B-1 B cells gives rise to inflammation-induced macrophages. The aim of this study was to perform transcriptome analysis of B-1 B cell-derived macrophages (B-1/macrophages) from the naM-ove and inflamed murine peritoneum and compare them to already established populations of naM-ove tissue-resident macrophages, inflammation-experienced resident (yolk-sac-derived) macrophages and inflammation-induced (monocyte-derived) macrophages.
2018-09-01 | E-MTAB-1878 | biostudies-arrayexpress
Project description:Dendritic cells (DCs) direct CD4+ T cell differentiation into distinct T helper (Th) subsets that are vital for protection against diverse types of infection. However, the mechanisms employed by DCs to initiate Th2 responses, which are important for immunity to helminth infection as well as being a major contributor to allergic disease, remain poorly understood. We demonstrate a crucial role for methyl-CpG-binding domain-2 (Mbd2), a protein that links DNA methylation to repressive chromatin structure, in regulating DC gene expression and ability to promote Th2 immunity against either helminths or allergens. RNAs were extracted from murine (C57BL/6) Bone marrow-derived dendritic cells (BMDC) samples. Two groups of samples (three replicates each) were processed: (1) wild type, and (2) a homozygous knock-out of the Mbd2 locus.
2015-04-20 | E-GEOD-66096 | biostudies-arrayexpress
Project description:The archetypal Th2 cytokine interleukin 4 (IL-4) has previously been shown to alternatively activate dendritic cells (DCs) both in vitro and in vivo.To more fully understand the impact of IL-4 dependent alternative activation of DCs, we used mRNA microarrays to define their transcriptional profile. RNAs were extracted from bone marrow-derived dendritic cells (BMDCs). Two groups of samples were taken, with three biological replicates in each: control untreated, and treated with recombinant-IL4 (at 20 ng/ml).
2015-04-28 | E-GEOD-59868 | biostudies-arrayexpress
Project description:In MTN-007, a phase 1, randomized, double-blinded rectal microbicide trial, we used systems genomics/proteomics to determine the effect of tenofovir 1% gel, nonoxynol-9 2% gel, placebo gel or no treatment on rectal biopsies taken at baseline, after one application or after seven daily applications (15 subjects/arm). Experiments were repeated using primary vaginal epithelial cells from four healthy women. 36 Arrays (3 primary vaginal epithelial cell lines from healthy women donors, cultured with or without 50uM or 500 uM Tenofovir for 1,4,7, or 14 days per donor cell line. A no treatment, culture media only control was included for each donor cell line and for each time point.
2015-02-23 | E-GEOD-57026 | biostudies-arrayexpress
Project description:Chronic rhinosinusitis without polyps (CRSsNP) is typified by inflammation of the sinonasal epithelium and the development of fibrosis. The precise pathophysiology of this common condition remains elusive. Here we aim to investigate the transcriptome (RNA transcripts in the cell) of the component nasal epithelial and fibroblast cells in CRSsNP and health to identify if there are clusters of differentially expressed genes as possible novel CRS therapeutic targets. Gene expression profiling by Illumina BeadArray of primary nasal epithelial and fibroblast cells in heatlh and chronic sinusitis. Samples from consenting human donors (Epithelial Case, n=13, Epithelial Control, n=11, Fibroblast Case, n=12, Fibroblast Control, n=12).
2015-12-31 | E-GEOD-69093 | biostudies-arrayexpress
Project description:Fatigue is a debilitating condition with a significant impact on patientsâ quality of life. Fatigue is frequently reported by patients suffering from primary Sjo Ìgrenâs Syndrome (pSS), a chronic autoimmune condition characterised by dryness of the eyes and the mouth. However, although fatigue is common in pSS, it does not manifest in all sufferers, providing an excellent model with which to explore the potential underpinning biological mechanisms. Whole blood samples from 131 fully-phenotyped pSS patients, stratified for the presence of fatigue, collected by the UK primary Sj Ìogrenâs Syndrome Registry were used for whole genome microarray. The resulting data were analysed both on a gene by gene basis and using pre-defined groups of genes. Finally, gene set enrichment analysis (GSEA) was used as a feature selection technique for input into a support vector machine (SVM) classifier. Classification was assessed using area under curve (AUC) of receiver operator characteristic and standard error of Wilcoxon statistic, SE(W). Contributor: The UK Primary Sjögrenâs syndrome registry
2015-12-31 | E-GEOD-66795 | biostudies-arrayexpress
Project description:Conventional high-grade osteosarcoma is a primary malignant bone tumor, which is most prevalent in adolescence. Survival rates of osteosarcoma patients have not improved significantly in the last 25 years. Aiming to increase this survival rate, a variety of model systems are used to study osteosarcomagenesis and to test new therapeutic agents. Such model systems are typically generated from an osteosarcoma primary tumor, but undergo many changes due to culturing or interactions with a different host species, which may result into differences in gene expression between primary tumor cells, and tumor cells from the model system. We aimed to investigate whether gene expression profiles of osteosarcoma cell lines and xenografts are still comparable to those of the primary tumor. Osteosarcoma can be subdivided into several histological subtypes, of which osteoblastic, chondroblastic, and fibroblastic osteosarcoma are the most frequent ones. Using nearest shrunken centroids classification, we have generated an expression profile that can predict these histological subtypes in both osteosarcoma biopsies (n=66), as well as in two osteosarcoma model systems, i.e. osteosarcoma cell lines (n=13) and xenografts (n=18). Based on the preservation of mRNA expression profiles that are characteristic for the histological subtype we propose that these model systems are representative to the primary tumor from which they are derived. Genome-wide expression profiling was performed on pre-treatment diagnostic biopsies of 76 resectable high-grade osteosarcoma patients from the EuroBoNet consortium (www.eurobonet.eu). Samples with a main histological subtype (n=66) were selected for subsequent subtype analyses. Out of the EuroBoNeT panel of 19 cell lines, 13 cell lines were recorded to belong to a main histological subtype. This set of 13 cell lines contained 4 cell lines derived from fibroblastic, and 9 cell lines derived from osteoblastic osteosarcomas. The 13 osteosarcoma cell lines IOR/MOS, IOR/OS10, IOR/OS14, IOR/OS15, IOR/OS18, IOR/OS9, IOR/SARG, KPD, MG-63, MHM, OHS, OSA, and ZK-58 were maintained in RPMI 1640 (Invitrogen, Carlsbad, CA, USA) supplemented with 10% fetal calf serum and 1% Penicillin/Streptomycin (Invitrogen) as previously described (PMID: 19787792). The osteosarcoma xenograft model is described in Kresse et al. (PMID: 21713766) In short, human tumors were implanted directly from patient samples and successively passaged subcutaneously in nude mice. Eighteen different xenografts were used, of which 3 were derived from chondroblastic, and 15 from osteoblastic osteosarcomas. Osteosarcoma and xenograft tissue was handled as previously described in Buddingh, Kuijjer et al. (PMID: 21372215) Osteosarcoma cell lines were prepared as in Ottaviano et al. (PMID: 19787792) RNA isolation, synthesis of cDNA, cRNA amplification, and hybridization of cRNA onto the Illumina Human-6 v2.0 Expression BeadChips were performed as described in Buddingh, Kuijjer, et al. (PMID: 21372215) Microarray data processing and quality control were performed using the statistical language R as described in Buddingh, Kuijjer, et al. (PMID: 21372215) We performed a factorial LIMMA analysis comparing 50 osteoblastic, 9 chondroblastic, and 7 fibroblastic osteosarcomas pre-chemotherapy biopsies. Probes with Benjamini and Hochberg False discovery rate-adjusted P-values < 0.05 were considered to be significantly differentially expressed. The gene expression profile was generated on the dataset of biopsies using Bioconductor package PAMR. Internal cross-validation was performed 50 times. A threshold was selected where the error rate of the prediction profile was minimal. The minimum error rate was representative of 50 independent simulations. In order to minimize optimization bias, we validated the profile on an independent dataset of osteosarcoma biopsies (n=5), containing 1 chondroblastic osteosarcoma and 4 osteoblastic osteosarcomas. We subsequently applied the validated prediction profile to two independent datasets, the first consisting of gene expression data of osteosarcoma cell lines, the second of xenografts. Expression of the probes that composed the prediction profile was verified using a factorial LIMMA analysis, comparing chondroblastic, fibroblastic, and osteoblastic osteosarcoma biopsy samples.
2011-09-20 | E-GEOD-30699 | biostudies-arrayexpress
Project description:We performed genome-wide gene expression data of high-grade osteosarcoma samples. In order to detect osteosarcoma drivers, we integrated these data with copy number data. We performed two different methods - a non-paired and a paired integrative analysis. Genome-wide gene expression analysis was performed on 84 pre-treatment high-grade osteosarcoma diagnostic biopsies, of which 29 overlapped with the 32 samples used for copy number analysis. Two different sets of control samples were used for comparison: osteoblasts (n=3) and mesenchymal stem cells (n=12, GEO accession number GSE28974).
2012-03-27 | E-GEOD-33382 | biostudies-arrayexpress
Project description:Analysis of the effect of isolation methods (fluorescence activated cell sorting (FACS), positive and negative immunomagnetic selection) on gene expression in human primary CD4+, CD8+ T cells, B cells and monocytes. FACS incurs the least short-term changes in gene expression signature. This study evaluated the short-term effects on gene expression in four leukocyte subsets (CD4+, CD8+ T cells, B cells and monocytes) of the three commonly used isolation methods (FACS, positive and negative selection) in order to identify the optimal method for cell isolation for gene expression studies in patient samples where gene expression pertaining to a disease state or treatment is of interest and gene expression caused by cell handing is minimized.
2013-08-20 | E-GEOD-50008 | biostudies-arrayexpress