Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profiling of Bos taurus lymph nodes upon infection with Ovine Herpesvirus 2

ABSTRACT: We hypothesized that the relative abundances of host cell transcripts in lymph nodes of animals with malignant catarrhal fever (MCF), compared to healthy controls, may be used to identify pathways that may help to explain the pathogenesis of MCF. Therefore, an abundance of host cell gene expression patterns in lymph nodes of animals with MCF and healthy controls were analyzed by microarray. Indeed, a vast number of genes related to inflammatory processes, lymphocyte activation, cell proliferation and apoptosis were detected at different abundances. However, the IL-2 transcript was eminent among the transcripts, which were, compared to healthy controls, less abundant in animals with MCF. Compared to healthy cattle, bovines with MCF appear to mimic an IL-2 knockout phenotype that has been described in mice. This supports the hypothesis that immunopathogenic events are linked to the pathogenesis of MCF. IL-2-deficiency may play an important role in the process. Keywords: disease state analysis

ORGANISM(S): Bos taurus

PROVIDER: GSE13852 | GEO | 2009/08/01

SECONDARY ACCESSION(S): PRJNA114591

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of Bos taurus lymph nodes upon infection with Ovine Herpesvirus 2

Project description:We hypothesized that the relative abundances of host cell transcripts in lymph nodes of animals with malignant catarrhal fever (MCF), compared to healthy controls, may be used to identify pathways that may help to explain the pathogenesis of MCF. Therefore, an abundance of host cell gene expression patterns in lymph nodes of animals with MCF and healthy controls were analyzed by microarray. Indeed, a vast number of genes related to inflammatory processes, lymphocyte activation, cell proliferation and apoptosis were detected at different abundances. However, the IL-2 transcript was eminent among the transcripts, which were, compared to healthy controls, less abundant in animals with MCF. Compared to healthy cattle, bovines with MCF appear to mimic an IL-2 knockout phenotype that has been described in mice. This supports the hypothesis that immunopathogenic events are linked to the pathogenesis of MCF. IL-2-deficiency may play an important role in the process. Experiment Overall Design: Comparison of lymph node samples from 3 infected animals with lymph node samples from 6 uninfected animals.

2009-08-09 | E-GEOD-13852 | biostudies-arrayexpress

Expression profiling of Ovine Herpesvirus 2-infected lymph nodes from Bos taurus

Project description:We hypothesized that the gene expression pattern of OvHV-2 may be important to understand the pathogenesis of malignant catarrhal fever (MCF). Therefore, RNA was extracted from lymph nodes of animals with MCF and healthy controls to be analyzed by a custom-made microarray. Two regions on the viral genome were transcriptionally active, one encoding a homologue to the latency-associated nuclear antigen (ORF73) of other gamma herpesviruses, the other with no predicted open reading frame. Keywords: Disease state analysis

2009-08-01 | GSE13853 | GEO

Expression profiling of Ovine Herpesvirus 2-infected lymph nodes from Bos taurus

2010-05-15 | E-GEOD-13853 | biostudies-arrayexpress

Transcription profiling by array of bovine gene expression changes during inflammatory gamma-herpesvirus infection

Project description:Changes in gene expression in lymph node and kidney of cattle infected with alcelaphine herpesvirus-1. All animals in the group infected with AlHV-1 showed clinical signs of Malignant catarrhal fever (MCF) within one month. Diagnosis of MCF in these animals was confirmed by diagnostic PCR. No clinical signs were seen in the control animals, which were subject to post-mortem examination separately from the MCF-affected animals. RNA samples from kidney and lymph node of 4 MCF-affected and 4 control animals that passed the RNA quality criteria were used for array analysis. Quality assessments of probe-level Affymetrix chip data and normalised data were carried out using statistical and graphical methods including MA plots and smoothed histogram plots. The MA-plots showed normalisation was effective; while smoothed histograms indicated there was no systematic bias in the data.

2012-10-26 | E-MEXP-3497 | biostudies-arrayexpress

Analysis of gene expression in HIV transgenic mice (TG26) with lymphoma in comparison to asymptomatic TG26 mice, and background control (FVBN).Tg26 carries a pNL4-3 HIV-1 provirus lacking part of the gag-pol region, rendering the virus non-infectious.

Project description:About 15% of the TG26 mice develop lymphoma. HIV protein expression is observed, particularly the protein p17/Matrix. Total cellular RNA from spleen and lymph nodes from 3 groups of animals: FVB/N controls (n=3), Tg26 asymptomatic (n=6), and Tg26 with lymphoma (n=6). Results provide insights into the gene expression program in animals with lymphoma.

2016-11-01 | GSE87546 | GEO

Immunoproteomics of Lymph Node T-cells in Bladder Cancer

Project description:The immune-suppressive features often possessed by invasive tumors hamper effective anti-tumor immunity. In this context, tumor-infiltrating regulatory T cells (Tregs) have been widely implied, principally as unwanted suppressors of anti-tumor immune responses. However, while many studies have focused on tumor-infiltrating Tregs, the function and signaling of Tregs in tumor-associated lymph nodes is largely unknown. In this study, we set out to clarify how immune signaling in lymph nodes is impacted by its contact to the tumour. Because muscle-invasive urothelial bladder cancer (MIBC) represent an immunogenic cancer were Tregs are accumulated and sentinel nodes (SNs) can be efficiently detected, we explored the protein expression of T-cells in SNs and non-SNs of MIBC patients. Proteomic analysis of Tregs and effector T-cells in SN and non-draining lymph nodes found SN-Tregs in MIBC patients to up-regulate growth and immune signaling pathways, the cytokine IL-16 being central in the signaling network. Experimental validation showed that in Tregs, tumoral factors increase IL-16 processing into bioactive forms and increase FOXP3 expression. In conclusion, altered IL-16 processing caused by tumour-released factors stimulate expansion of SN-Tregs in MIBC, creating an immunosuppressive environment and contributing to immune escape.

2020-09-09 | PXD009569 | Pride

Gene expression signatures for murine stromal cells from tumor-draining lymph nodes

Project description:To determine the influence of primary tumors on pre-metastatic lymph nodes, we have employed whole genome microarray expression profiling as a discovery platform to identify gene signatures of stromal cells from tumor-draining lymph nodes, compared with normal lymph nodes. We subcutaneously inoculated C57BL/6 mice with the 4T1 mammary carcinoma. Two weeks later, tumor-draining lymph nodes were dissociated and stromal cells (CD45-) were sorted. Lymph nodes stromal cells from normal mice without tumor bearing were set as controls.

2018-04-18 | GSE113249 | GEO

Gene expression signatures for murine B cells from tumor-draining lymph nodes

Project description:To determine the influence of primary tumors on pre-metastatic lymph nodes, we have employed whole genome microarray expression profiling as a discovery platform to identify gene signatures of B cells from tumor-draining lymph nodes, compared with normal lymph nodes. We subcutaneously inoculated C57BL/6 mice with the 4T1 mammary carcinoma. Two weeks later, tumor-draining lymph nodes were dissociated and B cells (CD19+) were sorted. Lymph nodes B cells from normal mice without tumor bearing were set as controls.

2018-04-18 | GSE113250 | GEO

GNPS - Mouse Mesenteric Lymph Node Metabolites

Project description:Small molecules extracted from mouse mesenteric lymph nodes.

| MSV000080181 | GNPS

Microarray analysis of mediastinal lymph node of pigs naturally affected by postweaning multisystemic wasting syndrome

Project description:Postweaning multisystemic wasting syndrome (PMWS) is one of the pig diseases with major economic impact worldwide. Clinical, pathologic and some immunologic aspects of this disease are well-known, but the molecular mechanisms underlying pathogenic mechanisms of the disease are still poorly understood. The objective of the present study was to investigate the global changes in gene expression in the mediastinal lymph nodes from pigs naturally affected by PMWS and healthy counterparts, using the Affymetrix Porcine Genechip®. This is the first study on gene expression in pigs naturally affected by PMWS. The present results allowed identifying potential mechanisms underlying the inflammation, lymphocyte depletion in lymphoid tissues and immune suppression, which are key features of PMWS. A total of twenty-five conventional 13 to 15-week-old pigs were used in this study. Animals were selected from three farms with historical records of PMWS and free of Porcine reproductive and respiratory syndrome virus (PRRSV) and Pseudorabies virus (PRV) infections. Twelve out of the 25 pigs fulfilled the PMWS diagnosis and were selected as cases, and the remaining thirteen pigs were selected as healthy control animals. At least one case and one control were used from each farm. 25 microarrays were used in the experiment, corresponding to the RNAs from mediastinal lymph nodes of 12 PMWS-affected pigs and 13 healthy controls.

2012-04-29 | E-GEOD-19083 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data